COMPOSITION FOR ALLEVIATING SKIN INFLAMMATION CAUSED BY YELLOW DUST AND FINE PARTICULATE, COMPRISING NATURAL PLANT EXTRACT

Abstract

The present invention relates to a composition comprising natural plant extracts for alleviating inflammation caused by yellow dust and fine particulate, wherein the plant extracts of the present invention inhibit a production of NO caused by the yellow dust and fine particulate and a production of inflammatory cytokines, thus having an excellent effect on preventing or alleviating skin inflammation caused by the yellow dust, fine particulate and other harmful substances.

Claims

1.-14. (canceled)

15. A method for alleviating skin inflammation caused from yellow dust or fine particulate, comprising applying to skin a composition comprising Citrus sunki peel extract, Sceptridium ternatum (or Botrychium ternatum) extract and Korthalsella japonica extract as an effective ingredient.

16. The method of claim 15, wherein the composition comprises a ratio of the Citrus sunki peel extract:the Sceptridium ternatum (or Botrychium ternatum) extract:the Korthalsella japonica extract of 1:1:1 to 2:1:1 by weight.

17. The method of claim 15, wherein the composition comprises i) the Citrus sunki peel extract comprising one or more compounds selected from the group consisting of hesperidine, tetramethyl-O-isoscutellarein, nobiletin and tangeretin; ii) the Sceptridium ternatum (or Botrychium ternatum) extract comprising one or more compounds selected from the group consisting of quercetin-3-O--glucosyl(1.fwdarw.2)--rhamnoside-7-O--rhamnoside, quercetin-3-O--glucosyl(1.fwdarw.2)--rhamnoside-7-O-glucoside, ternatumoside VI, ternatumoside XI and ternatumoside XII; and iii) the Korthalsella japonica extract comprising one or more compounds selected from the group consisting of lucenin-2, vicenin-2 and stellarin-2.

18. The method of claim 15, wherein the yellow dust or fine particulate increases a production amount of one or more cytokines selected from the group consisting of G-CSF, GM-CSF, GRO, GRO-, IL-1, IL-2, IL-3, IL-5, IL-6, IL-8, IL-15, MCP-1, MCP-2 and TNF-.

19. The method of claim 15, wherein the fine particulate comprises one or more fine particulates selected from the group consisting of TSP (total suspended particle), PM10 (particulate matter 10) and PM2.5 (particulate matter 2.5).

20. The method of claim 15, wherein the composition inhibits production of NO.

21. The method of claim 15, wherein the composition reduces production amount of one or more cytokines selected from the group consisting of IL-1, IL-2, IL-6, IL-8, GRO-, GM-CSF and TNF-.

22. The method of claim 15, wherein the extracts comprise 0.001 to 30 wt % compared to the total weight of the composition.

23. The method of claim 15, wherein the skin inflammation is contact dermatitis.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0067] FIGS. 1A and 1B are graphs indicating effects of ethanol extracts of Citrus sunki peel (FIG. 1) on inhibiting productions of NOs caused by yellow dust and TSP (FIG. 1A) and PM10 and PM2.5 (FIG. 1B).

[0068] FIGS. 2A and 2B are graphs indicating effects of ethanol extracts of Sceptridium ternatum (or Botrychium ternatum) on inhibiting productions of NOs caused by yellow dust and TSP (FIG. 2A) PM10 and PM2.5 (FIG. 2B).

[0069] FIGS. 3A and 3B are graphs indicating effects of ethanol extracts of Korthalsella japonica on inhibiting productions of NOs caused by yellow dust and TSP (FIG. 3A) and PM10 and PM2.5 (FIG. 3B).

[0070] FIG. 4 is a graph indicating effects of ethanol extracts of Citrus sunki peel on inhibiting productions of IL-8 caused by yellow dust and PM2.5.

[0071] FIG. 5 is a graph indicating effects of ethanol extracts of Sceptridium ternatum (or Botrychium ternatum) on inhibiting productions of IL-8 caused by yellow dust and PM2.5.

[0072] FIG. 6 is a graph indicating effects of ethanol extracts of Korthalsella japonica on inhibiting productions of IL-8 caused by yellow dust and PM2.5.

[0073] FIGS. 7A and 7B are graphs indicating effects of ethanol extracts of Citrus sunki peel on inhibiting productions of TNF- caused by yellow dust and TSP (FIG. 7A) and PM10 and PM2.5 (FIG. 7B).

[0074] FIGS. 8A and 8B are graphs indicating effects of ethanol extracts of Sceptridium ternatum (or Botrychium ternatum) on inhibiting productions of TNF- caused by yellow dust and TSP (FIG. 8A) and PM10 and PM2.5 (FIG. 8B).

[0075] FIGS. 9A and 9B are graphs indicating effects of ethanol extracts of Korthalsella japonica on inhibiting productions of TNF- caused by yellow dust and TSP (FIG. 9A) and PM10 and PM2.5 (FIG. 9B).

[0076] FIG. 10 is a chromatogram of an ethanol extract of Citrus sunki peel, as analyzed by means of HPLC-UVD.

[0077] FIG. 11 is a chromatogram of an ethanol extract of Sceptridium ternatum (or Botrychium ternatum), as analyzed by means of HPLC-UVD.

[0078] FIG. 12 is a chromatogram of an ethanol extract of Korthalsella japonica, as analyzed by means of HPLC-UVD.

[0079] FIGS. 13A, 13B, and 13C are graphs indicating effects of 3 kinds of flavonoid glycoside separated from an ethanol extract of Korthalsella japonica on inhibiting production of NO (FIG. 13A) and production of IL-8 (FIG. 13B) and TNF- (FIG. 13C) by means of yellow dust and fine particulate.

[0080] FIG. 14 indicates experimental results of a cytokine array conducted to see whether inflammatory cytokines are produced or not according to types of yellow dust and fine particulate.

MODE FOR INVENTION

[0081] Hereinafter, the present invention will be described in more detail through examples. The following examples are set forth just as the illustrative description of the present invention, but are not to be construed to limit the content of the present invention.

Example 1. Preparing of Citrus sunki Peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica Extracts

[0082] 500 ml of 70% ethanol (with purified water and ethanol mixed at a volume ratio of 30:70) was added to each 50 g of dry pulverized Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) or Korthalsella japonica, after which resulting mixtures were shaken at room temperature for 20 hours to obtain extracts. These extracts were filtered and concentrated under reduced pressure to eliminate ethanol therefrom, such that resulting concentrates were freeze-dried to obtain ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica at a yield of 17.9%, 18.3% and 15%, respectively.

Example 2. Preparing of Yellow Dust and Fine Particulate Extracts

[0083] (1) Collecting of Yellow Dust and Fine Particulate

[0084] A Low Volume Air Sampler installed in Bucheon city, Gyeonggi-do province in March 2013 was used, and samples collected from the Sampler equipped with a 47 mm Teflon filter for 24 hours at a flow rate of 16.7 L per minute were used. The samples were collected separately with regard to yellow dust, TSP, PM10 and PM2.5 depending on filter types.

[0085] (2) Preparing of Yellow Dust and Fine Particulate Extracts

[0086] Each of distilled water, ethanol and chloroform was added to a filter cut in about 1 m.sup.2 size, after which resulting filtrates were stirred for 12 hours to obtain extracts. The resulting extracts were separated, after which an extraction solvent was added again to extraction residues to obtain extracts again with ultrasonic waves for 4 hours. The extracts were combined together and concentrated under reduced pressure to evaporate and remove the extraction solvent therefrom, after which the samples extracted with distilled water and ethanol were dissolved again with respective solvents, while the sample extracted with chloroform was dissolved in DMSO.

Experimental Example 1. Evaluation of the Ability of Yellow Dust and Fine Particulate Extracts to Cause Inflammation

[0087] Following experiments were performed in order to identify if the yellow dust, TSP, PM10 and PM2.5 extracts cause inflammation in cells.

[0088] (1) Evaluation of Caused NO Production

[0089] NO, which is a pro-inflammatory mediator, is produced by means of various inflammatory stimuli and is known to cause continuous inflammatory responses and contribute to tissue damages. Thus, it was identified if the yellow dust and fine particulate extracts caused a production of NO. Raw 264.7 cells were seeded at 610.sup.4 cells/well into a 96-well plate, after which the resulting cells were cultured under a condition of 37 C. and 5% CO.sub.2 for 24 hours. The resulting cells were treated with the yellow dust, TSP, PM10 or PM2.5 samples, which were diluted at each concentration, such that resulting treated cells were cultured again for 24 hours. After that, the resulting cell culture media were mixed with Griess reagent at a ratio of 1:1, after which their optical densities were measured at 540 nm by means of a Microplate Reader to measure a NO production. At that time, no cytotoxicity was detected from the Raw 264.7 cells of the samples for causing the NO production.

[0090] As shown in a following Table 1, it was identified that the distilled water extracts of yellow dust, TSP, PM10 and PM2.5 caused skin inflammation. When it comes to each of extraction solvents, it was shown that an extraction with distilled water caused the NO production most.

TABLE-US-00001 TABLE 1 NO production (%) Sample Concentration Yellow dust TSP PM10 PM2.5 Control 100.0 2.1 Chloroform 500x-dilution 122.6 3.2 114.3 5.4 110.5 3.9 46.8 2.0 extract 100x-dilution 83.9 2.2 86.3 2.8 79.4 2.7 74.3 12.4 Ethanol 500x-dilution 126.0 8.5 130.4 3.0 123.9 1.0 134.2 19.1 extract 100x-dilution 134.1 11.3 120.07 4.9 129.2 2.0 199.7 13.3 Distilled 500x-dilution 192.7 1.3 225.9 5.7 136.6 2.3 196.2 5.1 extract 100x-dilution 223.4 6.1 231.2 2.6 176.4 5.0 265.6 9.5

[0091] (2) Evaluation of Caused Production of Inflammatory Cytokines IL-8, TNF-. IL-1, IL-2, IL-6, GRO- and GM-CSF

[0092] IL-8, TNF-, IL-1, IL-2, IL-6, GRO- and GM-CSF are representative of inflammatory cytokines, and the following method was performed in order to identify if the yellow dust and fine particulate extracts caused a production of TNF- and IL-8. HaCaT cells were seeded at 2.510.sup.4 cells/well into a 96-well plate, after which the resulting cells were cultured under a condition of 37 C. and 5% CO.sub.2 for 24 hours. The resulting cells were treated with the yellow dust, TSP, PM10 or PM2.5 samples, which were diluted at each concentration, such that resulting treated cells were cultured for 24 hours. After that, the resulting culture media were collected to evaluate their abilities to cause a production of cytokines by using an ELISA kit with regard to a fixed quantity of IL-1, IL-2, IL-6, GRO-, GM-CSF, IL-8 and TNF-, wherein results thereof were shown in following Tables 2 to 4. At that time, no cytotoxicity was detected from the HaCaT cells of the samples for causing a production of IL-1, IL-2, IL-6, GRO-, GM-CSF, IL-8 and TNF-.

[0093] As shown in following Tables 2 and 3, in case of IL-8, the yellow dust and PM2.5 only caused its production and the yellow dust caused such production most when being extracted with distilled water. In case of TNF-, it was identified that the yellow dust, TSP and PM10, extracted with chloroform, as well as PM2.5, extracted with distilled water, caused its production most.

[0094] As shown in a following Table 4, it was identified that IL-1, IL-2, IL-6 and GM-CSF were increased by means of the yellow dust, PM10, PM2.5 and TSP extracts, which were obtained by means of distilled water. In case of GRO-, it was identified that only the distilled water extracts of the yellow dust and PM2.5 caused its production.

TABLE-US-00002 TABLE 2 IL-8 production (%) Sample Concentration Yellow dust TSP PM10 PM2.5 Control 100.0 8.6 Chloroform 500x-dilution 155.8 3.6 58.3 5.0 45.8 9.0 88.0 1.9 extract 100x-dilution 118.8 11.1 55.5 11.1 41.2 5.7 84.0 2.2 Ethanol 500x-dilution 181.8 7.6 62.6 2.0 67.1 6.0 98.8 4.0 extract 100x-dilution 148.2 9.1 71.3 4.0 53.0 3.0 89.5 0.4 Distilled 500x-dilution 225.0 11.6 85.5 2.1 74.2 4.5 118.7 3.0 extract 100x-dilution 234.8 13.2 85.0 9.4 84.8 7.7 127.4 5.5

TABLE-US-00003 TABLE 3 TNF- production (%) Sample Concentration Yellow dust TSP PM10 PM2.5 Control 100.0 8.4 Chloroform 500x-dilution 177.4 7.0 135.3 5.6 165.5 6.3 90.3 4.6 extract 100x-dilution 217.8 8.8 162.7 4.5 176.2 10.5 75.3 6.2 Ethanol 500x-dilution 137.8 3.0 115.1 1.8 129.2 1.7 91.9 5.0 extract 100x-dilution 155.7 12.0 136.7 3.6 142.8 2.9 117.6 6.3 Distilled 500x-dilution 98.1 5.0 146.7 4.0 124.1 1.3 115.9 6.1 extract 100x-dilution 119.1 3.3 108.1 4.2 134.0 5.2 146.3 4.4

TABLE-US-00004 TABLE 4 Cytokine production (%) Sample Concentration IL-1 IL-2 IL-6 GRO- GM-CSF Control 100.0 4.8 100.0 7.9 100.0 4.0 100.0 6.8 100.0 4.3 Yellow 100x-dilution 160.6 1.8 150.1 9.7 558.0 11.3 173.4 2.0 435.2 16.0 dust TSP 100x-dilution 123.2 5.1 190.2 12.2 283.7 14.3 87.5 5.2 122.7 6.0 PM10 100x-dilution 139.4 8.1 174.6 7.7 374.4 11.3 75.4 3.3 123.3 5.7 PM2.5 100x-dilution 166.9 4.2 155.7 5.7 140.1 7.1 120.2 2.8 121.4 2.5

Experimental Example 2. Identification of the Cytotoxicity of Citrus sunki Peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica Extracts

[0095] An experiment was performed by means of a following method in order to identify if the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica have cytotoxicity. Raw 264.7 cells and HaCaT cells were seeded at 6.010.sup.4 cells/well and 2.510.sup.4 cells/well respectively, after which the resulting cells were cultured under a condition of 37 C. and 5% CO.sub.2 for 24 hours. The resulting cultured cells were treated with the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) or Korthalsella japonica at a concentration of 50-1,600 g/ml, after which resulting treated cells were treated and reacted with a WST-1 solution in 24 hours later, such that their optical densities were measured at 450 nm by means of a Microplate Reader to identify a cell viability, wherein results of the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica were shown in following Tables 5 to 7.

[0096] As shown in following Tables 5 to 7, it was identified that the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica did not show cytotoxicity at 50-400 g/ml.

TABLE-US-00005 TABLE 5 Sample concentration Raw 264.7 cell viability HaCaT cell viability (g/ml) (%) (%) Control 100.0 2.7 100.0 3.9 Citrus sunki 1,600 33.6 2.7 45.3 2.2 peel 800 75.6 0.7 88.1 1.5 400 92.2 1.4 96.7 1.3 200 98.0 3.5 95.8 4.1 100 107.0 1.6 96.2 0.5 50 99.9 3.4 92.5 0.8

TABLE-US-00006 TABLE 6 Sample concentration Raw 264.7 cell viability HaCaT cell viability (g/ml) (%) (%) Control 100.0 2.7 100.0 3.9 Sceptridium 1,600 34.6 1.4 44.3 4.1 ternatum (or 800 83.0 1.3 88.7 0.8 Botrychium 400 93.4 1.2 101.4 3.3 ternatum) 200 95.5 0.9 98.5 3.5 100 99.2 2.3 97.5 3.3 50 100.7 0.9 100.6 0.7

TABLE-US-00007 TABLE 7 Sample concentration Raw 264.7 cell viability HaCaT cell viability (g/ml) (%) (%) Control 100.0 2.7 100.0 3.9 Korthalsella 1,600 24.7 0.4 29.0 1.9 japonica 800 67.8 2.6 68.9 1.0 400 94.7 2.1 93.9 1.6 200 104.5 2.3 96.8 1.6 100 103.2 0.9 101.4 2.1 50 103.0 1.3 98.0 3.8

Experimental Example 3. Evaluation of the Ability of Citrus sunki Peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica Extracts to Alleviate Inflammation Caused by Yellow Dust and Fine Particulate

[0097] (1) Evaluation of the Ability of Ethanol Extracts of Citrus sunki Peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica to Inhibit No Production

[0098] In the above Experimental Example 1, it was identified that the yellow dust, TSP, PM10 and PM2.5 caused a production of NO in cells, and in result the distilled water extract for each sample caused the NO production most. Thus, the 100 diluted distilled water extracts of the yellow dust, TSP, PM10 and PM2.5 were used as a stimulus-causing agent, after which the Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica extracts were treated at a concentration of 100-400 g/ml without cytotoxicity, such that their abilities to inhibit a NO production were evaluated by means of a following method. An extract of Portulaca oleracea L., generally known to soothe skin and have an excellent anti-inflammatory action was treated together as a positive control with regard to an effect of alleviating inflammation.

[0099] Raw 264.7 cells were seeded at 6.010.sup.4 cells/well into a 96-well plate, after which the resulting cells were cultured under a condition of 37 C. and 5% CO.sub.2 for 24 hours. The resulting cultured cells were treated with the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) or Korthalsella japonica at a concentration of 100, 200 and 400 g/ml, after which resulting treated cells were treated with 100 diluted distilled water extracts of the yellow dust, TSP, PM10 or PM2.5, such that the resulting treated cells were cultured again for 24 hours. After that, the resulting cell culture media were mixed with Griess reagent at a ratio of 1:1, after which their optical densities were measured at 540 nm by means of a Microplate Reader to measure a NO production. When a control was the group treated only with the yellow dust, TSP, PM10 or PM2.5, which are air pollutants, the results of the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum), Korthalsella japonica and Portulaca oleracea L. with regard to a degree of reduction in NO production amounts were shown in FIGS. 1A, 1B, 2A, 2B, 3A, and 3B.

[0100] As shown in FIGS. 1A, 1B, 2A, 2B, 3A, and 3B, the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica showed an effect of inhibiting a NO production in a concentration-dependent way and showed a more excellent effect than the Portulaca oleracea L. extract at the same concentration. Based on such results, it was identified that the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica could effectively inhibit the pro-inflammatory mediator NO.

[0101] Also, when it comes to an inhibitory effect on the NO production according to each of air pollutants at the same concentration, it was identified that the ethanol extract of Korthalsella japonica had a relatively more excellent effect on the yellow dust and TSP, the ethanol extract of Sceptridium ternatum (or Botrychium ternatum) had a relatively more excellent effect on the PM10, and the ethanol extract of Korthalsella japonica had a relatively more excellent effect on the PM2.5 than other extracts.

[0102] (2) Evaluation of the Ability of Ethanol Extracts of Citrus sunki Peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica to Inhibit a Production of Cytokines

[0103] As shown in the above Experimental Example 1, in case of IL-8 and GRO-, the distilled water extracts of yellow dust and PM2.5 caused their production. In case of TNF-, the chloroform extracts of yellow dust, TSP and PM10 and the distilled water extract of PM2.5 caused its production. Also, in case of IL-1, IL-2, IL-6 and GM-CSF, the distilled water extracts of yellow dust, PM10, PM2.5 and TSP caused their production. Thus, the 100-diluted distilled water extracts of yellow dust and PM2.5 were used as a stimulus-causing agent for IL-8 and GRO-. The 100-diluted chloroform extracts of yellow dust, TSP and PM10 and the 100-diluted distilled water extracts of PM2.5 were used as a stimulus-causing agent for TNF-. The 100-diluted distilled water extracts of yellow water, PM10, PM2.5 and TSP were used as a stimulus-causing agent for IL-1, IL-2, IL-6 and GM-CSF, which were the rest of cytokines. The above ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica were treated at 100-400 g/ml, such that their abilities to inhibit a production of inflammatory cytokines were evaluated as follows.

[0104] HaCaT cells were seeded at 2.510.sup.4 cells/well into a 96-well plate, after which the resulting cells were cultured under a condition of 37 C. and 5% CO.sub.2 for 24 hours. Each well plates was treated with the above stimulus-causing agent, after which the resulting cells were cultured again for 24 hours. After that, the resulting culture media were collected to quantify their cytokines by using an ELISA kit with regard to a fixed quantity of IL-1, IL-2, IL-6, IL-8, GRO-, GM-CSF and TNF-.

[0105] In case of IL-8 and TNF-, an extract of Portulaca oleracea L., generally known to soothe skin and have an excellent anti-inflammatory action, was treated together as a positive control with regard to an effect of alleviating inflammation. When a control was the group treated only with the yellow dust, TSP, PM10 or PM2.5, which are air pollutants, the results thereof with regard to a degree of reduction in IL-8 and TNF- production amounts were shown in FIGS. 4, 5, 6, 7A, 7B, 8A, 8B, 9A, and 9B.

[0106] In case of IL-1, IL-2, IL-6, GRO- and GM-CSF, the production amounts of IL-1, IL-2, IL-6, GRO- and GM-CSF were measured with regard to a untreated group, a group treated only with the yellow dust, TSP, PM10 or PM2.5, which are air pollutants, and a group treated with ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) or Korthalsella japonica at a concentration of 100, 200 and 400 g/ml, wherein results thereof were shown in following Tables 8 to 12.

[0107] As shown in FIGS. 4, 5, 6, 7A, 7B, 8A, 8B, 9A, and 9B, the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica showed an effect of inhibiting a production of IL-8 and TNF- in a concentration-dependent way and showed a more excellent effect than the Portulaca oleracea L. extract at the same concentration. Also, as shown in following Tables 8 to 12, it was identified that the production amounts of IL-la, IL-2, IL-8 and GRO-, which were increased by means of air pollutants, were also inhibited by the ethanol extracts of Sceptridium ternatum (or Botrychium ternatum), Korthalsella japonica and Citrus sunki peel in a concentration-dependent way. Based on such results, it was identified that the ethanol extracts of Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica could effectively inhibit the inflammatory cytokines IL-1, IL-2, IL-6, IL-8, GRO-, GM-CSF and TNF-. In case of the Citrus sunki peel, it failed to produce results due to some problem in process of the IL-6 experiment and it was identified that it could inhibit the inflammatory cytokines IL-1, IL-2, IL-8, GRO-, GM-CSF and TNF- except IL-6.

[0108] When it comes to an inhibitory effect on the IL-8 production according to each of the air pollutants at the same concentration, it was identified that the ethanol extract of Sceptridium ternatum (or Botrychium ternatum) was relatively more excellent with regard to the yellow dust, while the ethanol extracts of Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica were relatively more excellent with regard to the PM2.5 than other extracts. When it comes to an inhibitory effect on the TNF- production according to each of the air pollutants at the same concentration, it was identified that the ethanol extract of Citrus sunki peel was relatively more excellent with regard to the yellow dust, while the ethanol extract of Sceptridium ternatum (or Botrychium ternatum) was relatively more excellent with regard to the TSP, PM10 and PM2.5 than other extracts. When it comes to an inhibitory effect on the IL-1 production according to each of the air pollutants at the same concentration, it was identified that the ethanol extract of Sceptridium ternatum (or Botrychium ternatum) was relatively more excellent with regard to the PM2.5 and TSP than other extracts. When it comes to an inhibitory effect on the IL-2 production according to each of the air pollutants at the same concentration, it was identified that the ethanol extracts of Sceptridium ternatum (or Botrychium ternatum) and Citrus sunki peel were relatively more excellent with regard to the yellow dust and PM10, while the ethanol extract of Sceptridium ternatum (or Botrychium ternatum) was relatively more excellent with regard to the PM2.5 and TSP than other extracts. When it comes to an inhibitory effect on the production of IL-6 and GRO- for all the air pollutants at the same concentration, it was identified that the ethanol extract of Sceptridium ternatum (or Botrychium ternatum) was relatively more excellent with regard to other extracts. When it comes to an inhibitory effect on the IL-6 production, the ethanol extract of Sceptridium ternatum (or Botrychium ternatum) had a relatively more excellent effect than other extracts. When it comes to an inhibitory effect on the GM-CSF production for all the air pollutants at the same concentration, the ethanol extract of Citrus sunki peel had a relatively more excellent effect than other extracts.

TABLE-US-00008 TABLE 8 Sample concen- IL-1 production (%) tration (g/ml) Yellow dust TSP PM10 PM2.5 Control 100.0 5.0 Group treated 163.6 8.9 157.4 10.3 124.6 1.8 168.3 5.6 with air pollutants Citrus sunki 100 145.4 5.9 156.8 6.0 100.2 2.4 138.0 6.3 peel 200 132.3 4.1 127.2 5.7 97.8 1.6 132.9 3.0 400 128.7 3.1 116.2 2.6 94.4 1.9 125.0 0.6 Sceptridium 100 118.9 3.8 120.6 4.2 96.7 4.2 110.8 3.5 ternatum (or 200 112.1 2.1 111.4 0.9 91.3 3.0 99.5 1.6 Botrychium 400 100.1 4.1 97.8 1.3 83.1 1.2 92.5 4.6 ternatum) Korthalsella 100 150.7 6.9 166.7 6.0 114.8 1.2 143.9 9.1 japonica 200 129.0 5.6 157.6 4.7 103.7 2.3 133.9 4.8 400 112.4 3.7 143.3 2.8 97.4 4.4 120.2 2.2

TABLE-US-00009 TABLE 9 Sample concentra- IL-2 production (%) tion (g/ml) Yellow dust TSP PM10 PM2.5 Control 100.0 0.6 Group treated with 146.5 4.9 152.9 1.7 122.9 5.2 126.5 2.7 air pollutants Citrus sunki 100 94.6 4.2 112.7 4.1 91.9 1.5 100.0 1.9 peel 200 86.3 2.9 96.8 3.5 77.3 3.4 89.4 1.2 400 78.1 5.2 91.6 6.1 71.8 2.0 85.1 2.5 Sceptridium 100 106.7 3.8 112.5 3.1 94.0 5.3 104.6 4.0 ternatum (or 200 83.8 1.5 103.6 2.4 74.2 3.2 83.6 3.0 Botrychium 400 71.6 2.0 81.6 4.2 65.7 2.3 72.0 2.4 ternatum) Korthalsella 100 137.6 1.3 150.2 4.9 121.2 4.5 132.1 2.5 japonica 200 107.3 5.4 135.5 2.4 98.6 5.1 124.2 3.3 400 99.1 2.5 116.6 5.9 89.9 5.5 109.4 3.1

TABLE-US-00010 TABLE 10 Sample concentration IL-6 production (%) (g/ml) Yellow dust TSP PM10 PM2.5 Control 100.0 6.9 Group treated with 344.6 9.6 244.0 9.3 299.8 12.0 131.9 5.6 air pollutants Sceptridium 100 208.5 7.5 215.6 10.3 198.2 11.0 227.4 14.5 ternatum (or 200 177.8 10.0 202.3 6.2 166.8 5.5 198.2 16.3 Botrychium 400 153.3 7.7 154.7 3.3 151.5 3.0 182.8 12.4 ternatum) Korthalsella 100 287.3 9.9 256.9 13.8 315.8 2.4 251.5 7.3 japonica 200 228.7 10.0 229.4 5.8 265.5 2.8 237.7 11.4 400 211.2 4.1 190.5 11.9 238.8 7.9 220.1 1.8

TABLE-US-00011 TABLE 11 Sample concentration GRO- production (%) (g/ml) Yellow dust PM2.5 Control 100.0 1.5 Group treated with 188.7 5.5 151.2 4.7 air pollutants Citrus sunki 100 91.7 3.5 73.8 4.2 peel 200 76.8 4.4 62.5 3.0 400 30.6 0.9 42.1 2.2 Sceptridium 100 56.3 2.3 84.6 6.7 ternatum 200 30.9 1.5 45.9 2.5 (or 400 13.1 0.8 23.2 1.1 Botrychium ternatum) Korthalsella 100 58.1 5.1 48.9 1.7 japonica 200 39.7 0.7 29.2 1.9 400 17.5 0.3 24.2 2.4

TABLE-US-00012 TABLE 12 Sample concentration GM-CSF production (%) (g/ml) Yellow dust TSP PM10 PM2.5 Control 100.0 1.5 Group treated with 288.3 11.3 224.3 2.0 223.8 8.5 187.5 9.7 air pollutants Citrus sunki 100 104.1 8.0 60.1 5.3 48.0 0.6 59.4 2.3 peel 200 83.0 5.8 54.8 2.2 45.8 1.2 53.7 1.3 400 69.3 7.0 53.6 2.4 47.1 1.7 51.1 1.9 Sceptridium 100 249.8 11.2 172.4 10.8 254.5 10.8 213.3 6.3 ternatum (or 200 214.2 10.2 160.9 10.9 197.9 12.18 146.2 1.6 Botrychium 400 180.3 11.9 92.3 5.3 151.9 2.2 108.5 9.9 ternatum) Korthalsella 100 417.7 14.8 382.0 18.2 400.9 11.2 331.5 14.7 japonica 200 328.3 9.6 348.7 4.3 312.0 14.5 314.4 10.3 400 312.1 3.8 221.7 13.7 269.6 11.8 269.0 5.9

Experimental Example 4. Evaluation of the Ability of Mixture of Citrus sunki Peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica Extracts to Alleviate Inflammation Caused by Yellow Dust and Fine Particulate

[0109] As seen in the above Experimental Example 3, the effects of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica extracts are not equal to each other depending on air pollutants and inflammatory cytokines. Thus, it was thought that using a mixture of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica extracts might exhibit an effect on inflammatory cytokines produced and caused by all the air pollutants, so an experiment was performed on its ability to inhibit a production of NO and inhibit a production of inflammatory cytokines. Also, the experiment was performed on each extract of the same amount in order to identify a synergy effect of the mixture.

[0110] (1) Evaluation of the Ability of Mixture of Ethanol Extracts of Citrus sunki Peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica to Inhibit NO Production

[0111] The same 100-diluted distilled water extract as used in the above Experimental Example 3(1) was used as a stimulus-causing agent for NO. Mixtures used herein were prepared in such a way that the ethanol extracts of Sceptridium ternatum (or Botrychium ternatum), Korthalsella japonica and Citrus sunki peel were mixed at the same ratio (hereinafter, a 1:1:1 mixture) or that the ethanol extract of Citrus sunki peel was mixed twice as much as the ethanol extract of Sceptridium ternatum (or Botrychium ternatum) and the ethanol extract of Korthalsella japonica (hereinafter, a 2:1:1 mixture), respectively. The ethanol extracts of Sceptridium ternatum (or Botrychium ternatum), Korthalsella japonica and Citrus sunki peel and mixtures thereof were treated at a concentration of 52.5 g/ml, 105 g/ml and 210 g/ml, respectively, wherein their abilities to inhibit the NO production were evaluated by means of a following method.

[0112] HaCaT cells were seeded at 2.510.sup.4 cells/well into a 96-well plate, after which the resulting cells were cultured under a condition of 37 C. and 5% CO.sub.2 for 24 hours. The resulting cultured cells were treated with the ethanol extracts of Sceptridium ternatum (or Botrychium ternatum), Korthalsella japonica or Citrus sunki peel, or mixtures thereof at a concentration of 52.5, 105 and 210 g/ml, after which resulting treated cells were treated with 100-diluted distilled water extracts of yellow dust, PM10, PM2.5 or TSP, such that resulting treated cells were cultured again for 24 hours. After that, the resulting culture media were collected to quantify a NO amount by using a NO assay, wherein results thereof with regard to the mixtures of ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica were shown in a following Table 13.

[0113] As shown in a following Table 13, the mixture of ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica showed an inhibitory effect on a NO production in a concentration-dependent way, and it was identified that the existing ethanol extracts of Sceptridium ternatum (or Botrychium ternatum), Korthalsella japonica and Citrus sunki peel as well as mixtures thereof had the same tendency to inhibit the NO production. At the same concentration, the 2:1:1 mixture tended to show a more excellent effect than the 1:1:1 mixture. Also, in case of the inhibitory effect on the NO production, it was identified that the mixtures had a more excellent effect than single extracts with regard to TSP at the same concentration.

TABLE-US-00013 TABLE 13 Sample concentration NO production (%) (ug/ml) Yellow dust TSP PM10 PM2.5 Control 100.0 5.4 100.0 1.0 100.0 3.3 100.0 3.2 Group treated with 136.5 1.8 151.4 2.0 147.1 3.9 147.1 1.5 air pollutants Citrus sunki 52.5 124.9 2.2 111.4 5.5 118.9 4.4 150.9 4.8 peel 105 113.3 5.0 100.1 1.6 99.9 3.7 127.2 6.4 210 104.2 3.3 83.5 2.7 80.1 3.1 106.7 2.6 Sceptridium 52.5 128.6 0.9 118.0 2.9 125.6 6.0 158.3 1.7 ternatum 105 116.6 1.8 98.9 2.2 117.2 6.5 131.6 8.2 (or 210 104.0 1.6 79.2 3.2 94.3 2.1 108.6 2.9 Botrychium ternatum) Korthalsella 52.5 123.4 3.3 117.2 3.4 116.3 6.8 134.0 5.1 japonica 105 104.3 5.2 99.4 2.3 91.5 3.5 112.7 4.3 210 90.2 6.5 79.9 3.2 71.5 2.7 95.7 5.7 Mixture 52.5 125.9 5.2 126.3 2.4 126.0 2.1 146.2 2.8 (1:1:1) 105 110.7 2.4 86.8 2.2 114.5 3.5 126.9 6.1 210 95.4 4.6 52.8 1.1 96.3 4.2 111.1 6.3 Mixture 52.5 117.8 2.6 103.1 1.5 125.0 1.3 152.2 3.9 (1:1:2) 105 107.7 5.4 83.6 0.8 99.8 2.5 122.7 6.5 210 94.8 6.0 58.5 1.9 86.1 2.2 100.1 3.4

[0114] (2) Evaluation of the Ability of Mixture of Ethanol Extracts of Citrus sunki Peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica to Inhibit the Production of Cytokines

[0115] As shown in the above Experimental Example 1, the 100-diluted distilled water extracts of yellow dust and PM2.5 were used as a stimulus-causing agent for IL-8 and GRO-, the 100-diluted chloroform extracts of yellow dust, TSP and PM10 and the 100-diluted distilled water extract of PM2.5 were used as a stimulus-causing agent for TNF-, and the distilled water extracts of yellow dust, PM10, PM2.5 and TSP were used as a stimulus-causing agent for IL-1, IL-2 and GM-CSF. A 1:1:1 mixture and a 2:1:1 mixture of the ethanol extracts of Sceptridium ternatum (or Botrychium ternatum), Korthalsella japonica and Citrus sunki peel were prepared and used respectively. The ethanol extracts of Sceptridium ternatum (or Botrychium ternatum), Korthalsella japonica and Citrus sunki peel as well as mixtures thereof were treated at a concentration of 52.5 g/ml, 105 g/ml and 210 g/ml respectively, such that their abilities to inhibit the production of inflammatory cytokines were evaluated as follows.

[0116] The HaCaT cells were seeded at 2.510.sup.4 cells/well into a 96-well plate, after which the resulting cells were cultured under a condition of 37 C. and 5% CO.sub.2 for 24 hours. The ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) or Korthalsella japonica, or mixtures thereof were treated at a concentration of 52.5, 105 and 210 g/ml respectively, and each well plates was treated with the above stimulus-causing agent, after which resulting treated cells were cultured again for 24 hours. After that, the resulting culture media were collected to quantify their cytokines by using an ELISA kit with regard to a fixed quantity of IL-1, IL-2, IL-6, IL-8, GRO-, GM-CSF and TNF-, wherein results thereof with regard to the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica as well as mixtures thereof were shown in following Tables 14 to 19.

[0117] As shown in following Tables 14 to 19, the mixtures of ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica showed an inhibitory effect in a concentration-dependent way on the production of IL-1, IL-2, IL-8, GRO-, GM-CSF and TNF- except IL-6, which is largely influenced by the ethanol extract of Citrus sunki peel, and it was identified that single ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica as well as mixtures thereof had the same tendency to inhibit the production of cytokines. The 2:1:1 mixture tended to show a more excellent effect than the 1:1:1 mixture at the same concentration. Also, it was identified that according to each of air pollutants, the mixtures had a relatively more excellent effect on the yellow dust for IL-1, PM10 for TNF-, IL-2 and GM-CSF and TSP for IL-1 and IL-2 than the single extracts at the same concentration.

TABLE-US-00014 TABLE 14 Sample concentra- IL-1 production (%) tion (g/ml) Yellow dust TSP PM10 PM2.5 Control 100.0 4.0 100.0 4.0 100.0 4.0 100.0 4.0 Group treated 144.8 3.0 141.0 3.4 128.5 3.8 141.6 6.1 with air pollutants Citrus sunki 52.5 109.6 2.1 94.6 3.0 79.7 3.5 97.1 3.5 peel 105 96.1 2.6 81.6 1.6 73.8 3.4 80.1 0.5 210 83.8 4.4 73.2 4.0 67.2 3.1 72.4 1.5 Sceptridium 52.5 93.5 1.9 87.5 2.9 79.7 1.2 76.4 1.8 ternatum (or 105 84.3 0.8 67.9 0.7 68.6 1.2 70.6 2.1 Botrychium 210 80.9 1.3 62.2 3.0 62.9 3.0 60.1 1.2 ternatum) Korthalsella 52.5 109.1 2.3 97.5 1.5 74.3 3.5 96.2 1.5 japonica 105 95.0 1.2 83.6 2.9 70.4 2.2 77.4 1.8 210 84.0 3.1 73.4 3.0 62.6 1.6 67.1 0.9 Mixture 52.5 95.7 1.4 73.9 1.0 79.8 3.2 73.5 3.6 (1:1:1) 105 87.6 2.8 64.3 2.8 73.7 0.8 65.2 0.9 210 77.4 3.5 59.5 1.9 66.7 1.0 58.8 1.5 Mixture 52.5 82.4 1.5 73.4 1.3 71.8 2.3 71.3 1.2 (1:1:2) 105 77.8 2.9 67.8 1.2 68.1 2.0 66.7 0.5 210 70.2 1.5 62.9 0.4 60.7 2.9 63.5 2.7

TABLE-US-00015 TABLE 15 Sample concentration IL-2 production (%) (g/ml) Yellow dust TSP PM10 PM2.5 Control 100.0 6.9 100.00 6.93 100.0 6.9 100.0 6.93 Group treated with 178.5 7.9 178.22 3.49 134.4 6.2 139.0 6.52 air pollutants Citrus sunki 52.5 108.6 2.6 159.3 5.7 115.3 1.2 110.7 5.5 peel 105 98.3 5.2 137.9 2.6 95.0 5.6 82.5 5.7 210 75.9 6.7 105.6 4.6 75.2 3.3 57.0 2.7 Sceptridium 52.5 105.2 1.4 137.41 5.33 104.1 1.7 90.3 5.21 ternatum (or 105 80.0 2.7 105.75 5.87 82.6 3.2 67.1 1.93 Botrychium 210 65.0 5.0 83.26 9.52 64.5 2.3 49.7 3.30 ternatum) Korthalsella 52.5 140.0 2.6 158.04 5.03 130.8 6.9 120.5 2.31 japonica 105 109.7 2.8 135.0 6.5 116.2 3.4 88.9 1.4 210 93.8 5.8 102.0 4.5 91.0 6.1 77.0 4.1 Mixture 52.5 100.9 4.5 132.8 2.2 77.7 5.1 98.6 5.2 (1:1:1) 105 82.8 7.9 102.5 2.0 66.8 2.5 72.5 1.0 210 61.5 5.0 75.3 5.3 48.9 4.4 46.4 3.9 Mixture 52.5 98.6 3.4 121.6 0.9 75.6 4.3 100.5 3.6 (1:1:2) 105 79.3 6.9 105.2 6.9 65.6 2.9 71.3 7.4 210 66.5 3.6 64.8 3.2 46.0 6.2 33.2 4.3

TABLE-US-00016 TABLE 16 Sample concentration IL-8 production (%) (g/ml) Yellow dust PM2.5 Control 100.0 3.6 100.0 3.4 Group treated with 133.0 3.3 133.5 3.7 air pollutants Citrus sunki 52.5 80.5 4.7 67.0 5.3 peel 105 67.7 3.0 75.3 3.8 210 58.0 1.5 87.1 3.8 Sceptridium 52.5 81.1 6.6 66.5 1.7 ternatum (or 105 68.0 4.5 85.8 3.7 Botrychium 210 58.9 4.4 92.9 3.4 ternatum) Korthalsella 52.5 92.8 7.6 60.6 2.3 japonica 105 77.8 5.0 80.5 2.1 210 47.9 3.4 100.1 3.1 Mixture 52.5 73.7 3.5 62.5 2.3 (1:1:1) 105 60.1 1.3 79.2 2.8 210 46.1 1.7 91.2 2.9 Mixture 52.5 83.3 3.2 54.0 0.8 (1:1:2) 105 72.4 2.6 77.1 2.6 210 58.6 2.4 100.9 3.7

TABLE-US-00017 TABLE 17 Sample concentration TNF- production (%) (g/ml) Yellow dust TSP PM10 PM2.5 Control 100.0 6.2 100.0 4.9 100.0 3.4 100.0 4.9 Group treated with 161.6 4.7 140.8 0.7 149.8 8.2 171.9 7.2 air pollutants Citrus sunki 52.5 120.0 2.3 126.5 5.5 113.4 7.9 154.9 7.4 peel 105 110.9 7.8 110.4 4.6 78.4 1.6 116.2 12.7 210 81.8 4.7 96.7 4.3 52.0 5.7 89.1 7.9 Sceptridium 52.5 132.1 3.1 123.0 6.0 119.8 6.1 146.9 11.4 ternatum (or 105 100.3 6.2 106.8 3.4 93.2 5.8 95.6 6.3 Botrychium 210 82.1 1.9 90.1 2.9 60.5 1.3 71.7 2.6 ternatum) Korthalsella 52.5 116.9 5.7 112.1 2.3 133.8 2.2 143.6 5.2 japonica 105 88.6 6.1 98.6 4.9 101.1 8.9 116.7 9.9 210 73.5 4.9 91.6 2.9 73.0 5.0 95.4 7.1 Mixture 52.5 108.5 4.9 121.0 5.7 125.6 4.0 130.4 3.4 (1:1:1) 105 91.9 8.4 96.0 0.9 71.0 3.0 105.2 2.3 210 72.7 6.5 80.0 4.0 39.4 4.6 76.6 5.3 Mixture 52.5 115.0 4.5 128.5 1.6 117.0 2.9 140.6 6.1 (1:1:2) 105 97.5 3.1 111.7 3.3 75.7 2.9 115.1 7.6 210 69.1 4.4 93.2 3.4 46.4 6.1 84.0 5.4

TABLE-US-00018 TABLE 18 Sample concentration GRO- production (%) (g/ml) Yellow dust PM2.5 Control 100.0 6.0 100.0 6.0 Group treated with 186.7 7.8 156.2 4.5 air pollutants Citrus sunki 52.5 75.8 3.2 92.2 2.9 peel 105 62.6 4.1 64.9 4.3 210 52.8 2.9 32.1 4.3 Sceptridium 52.5 90.2 1.7 98.2 3.2 ternatum (or 105 75.8 2.9 81.8 1.4 Botrychium 210 68.7 2.2 65.6 3.5 ternatum) Korthalsella 52.5 53.3 1.3 74.3 2.7 japonica 105 43.5 1.5 38.9 1.2 210 39.6 2.6 27.2 2.6 Mixture 52.5 58.1 5.6 55.7 2.9 (1:1:1) 105 53.0 3.7 37.3 6.0 210 45.5 1.1 20.0 1.6 Mixture 52.5 68.9 2.2 66.8 5.2 (1:1:2) 105 64.1 2.2 52.7 2.6 210 55.6 1.4 28.8 1.9

TABLE-US-00019 TABLE 19 Sample concentration GM-CSF production (%) (g/ml) Yellow dust TSP PM2.5 TSP Control 100.0 8.4 100.0 8.4 100.0 8.4 100.0 8.4 Group treated with 254.8 10.7 165.0 5.0 149.6 7.9 165.0 5.0 air pollutants Citrus sunki 52.5 61.2 3.7 72.1 5.0 70.0 3.8 61.2 3.7 peel 105 54.4 0.7 64.6 1.3 63.2 1.4 54.4 0.7 210 52.5 2.0 59.1 4.6 56.1 1.2 52.5 2.0 Sceptridium 52.5 146.4 3.4 147.6 3.3 127.2 2.2 146.4 3.4 ternatum (or 105 129.2 4.0 133.4 0.6 113.6 4.3 129.2 4.0 Botrychium 210 118.6 7.1 113.7 4.1 105.8 1.6 118.6 7.1 ternatum) Korthalsella 52.5 175.8 3.3 202.5 2.6 167.2 2.5 175.8 3.3 japonica 105 165.1 4.5 181.7 9.4 153.1 2.3 165.1 4.5 210 149.0 3.2 148.2 6.5 132.4 2.5 149.0 3.2 Mixture 52.5 68.8 2.8 69.6 2.5 81.5 3.3 68.8 2.8 (1:1:1) 105 63.3 3.0 60.6 0.2 67.8 0.5 63.3 3.0 210 60.5 2.0 55.3 3.4 62.5 1.2 60.5 2.0 Mixture 52.5 64.3 1.0 64.6 2.0 72.2 2.2 64.3 1.0 (1:1:2) 105 60.4 1.8 58.9 2.9 63.2 0.6 60.4 1.8 210 53.7 0.7 53.4 3.2 58.0 0.8 53.7 0.7

Experimental Example 5. Separation and Identification of the Active Substances of Citrus sunki Peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica Extracts

[0118] (1) Separation and Identification of the Active Substances of Ethanol Extract of Citrus sunki Peel

[0119] A chromatogram of the ethanol extract of Citrus sunki peel obtained through Example 1, which was analyzed with HPLC-UVD at 280 nm under a concentration gradient condition of acetonitrile and distilled water by using a C18 column having a diameter of 4.6 mm and a length of 25 cm, was shown in FIG. 10, and it was identified that each peak was hesperidine (peak no. 1), tetramethyl-O-isoscutellarein (peak no. 2), nobiletin (peak no. 3) and tangeretin (peak no. 4) by analyzing spectroscopic data for four major peaks through HPLC-ESI-MS.

[0120] (2) Separation and Identification of the Active Substances of Ethanol Extract of Sceptridium ternatum (or Botrychium ternatum)

[0121] A chromatogram of the ethanol extract of Sceptridium ternatum (or Botrychium ternatum) obtained through Example 1, which was analyzed with HPLC-UVD at 350 nm under a concentration gradient condition of methanol and distilled water by using a C.sub.18 column having a diameter of 4.6 mm and a length of 10 cm, was shown in FIG. 11, and flavonoid glycosides were identified by analyzing spectroscopic data for four major peaks through HPLC-ESI-MS, wherein results thereof were shown in a following Table 20.

TABLE-US-00020 TABLE 20 Peak Theoretical Observed Mass No. Compound [M + H].sup.+ mass mass difference 1 Quercetin-3-O--glucosyl(1.fwdarw.2)- C.sub.33H.sub.41O.sub.20 757.2191 757.2241 5 mmu -rhamnoside-7-O--rhamnoside 2 Quercetin-3-O--glucosyl(1.fwdarw.2)- C.sub.33H.sub.41O.sub.21 773.2140 773.2181 4 mmu -rhamnoside-7-O--glucoside 3 Ternatumoside XI C.sub.48H.sub.57O.sub.27 1065.3087 1065.3270 18 mmu 4 Ternatumoside VI or Ternatumo- C.sub.57H.sub.63O.sub.29 1211.3455 1211.3664 20 mmu side XII

[0122] (3) Separation and Identification of the Active Substances of Ethanol Extract of Korthalsella japonica

[0123] A chromatogram of the ethanol extract of Korthalsella japonica obtained through Example 1, which was analyzed with HPLC-UVD at 330 nm under a concentration gradient condition of acetonitrile and distilled water by using a C18 column having a diameter of 3.9 mm and a length of 30 cm, was shown in FIG. 12, and three flavonoid glycosides of Lucenin-2 (peak no. 1), Vicenin-2 (peak no. 2) and Stellarin-2 (peak no. 3) were identified and separated by comparing and analyzing spectroscopic data through HPLC-ESI-MS, MS/MS and existing documents (Ferreres et al., 2003, Parejo et al., 2004) for three major peaks, wherein a chemical structural formula thereof was shown in a following Formula 1.

##STR00001##

Experimental Example 6. Evaluation of the Ability of Active Substances Separated from the Ethanol Extract of Korthalsella japonica to Alleviate Inflammation Caused by Yellow Dust or Fine Particulate

[0124] A following experiment was performed to identify if three types of flavonoid glycoside separated from the ethanol extract of Korthalsella japonica are major ingredients exhibiting an anti-inflammatory effect.

[0125] The Raw 264.7 cells and HaCaT cells were cultured for 24 hours, after which resulting cells were treated with each substance at a concentration of 125-1000 g/ml, in which its cytotoxicity does not appear. Then, resulting cells were treated with 100-diluted distilled water extract of yellow dust and 100-diluted chloroform extract of yellow dust, after which resulting treated cells were cultured again for 24 hours. As shown in Experimental Example 3, the inhibitory effect on the production of NO, IL-8 and TNF- was measured, wherein results thereof were shown in FIGS. 13A, 13B, and 13C.

[0126] As shown in FIGS. 13A, 13B, and 13C, three types of flavonoid glycoside separated from the ethanol extract of Korthalsella japonica exhibited an inhibitory effect on the production of NO, IL-8 and TNF- in a concentration-dependent way. Based on such results, it was identified that the three types of flavonoid glycoside separated from the ethanol extract of Korthalsella japonica could effectively inhibit the production of NO, IL-8 and TNF-.

Experimental Example 7. Identification of the Production of Other Inflammatory Cytokines by Means of Yellow Dust and Fine Particulate

[0127] A cytokine array experiment was performed in order to see which cytokines were further produced in addition to the inflammatory cytokines produced by yellow dust and fine particulate identified in the above Experimental Example 1 and how they varied depending on types of yellow dust and fine particulate. The HaCaT cells were seeded at 2.010.sup.5 cells/well into a 96-well plate, after which resulting cells were cultured under a condition of 37 C. and 5% CO.sub.2 for 24 hours. The resulting cells were treated respectively with 100-diluted distilled water extracts of yellow dust, TSP and PM2.5, after which resulting treated cells were further cultured for 24 hours, such that the resulting culture media thereof were collected to evaluate their production amounts of G-CSF (Granulocyte Colony Stimulating Factor), GM-CSF (Granulocyte-Macrophage Colony Stimulating Factor), GRO (Growth-Regulated Protein), GRO- (Growth-Regulated Protein-), IL-1 (Interleukin-1), IL-2 (Interleukin-2), IL-3 (Interleukin-3), IL-5 (Interleukin-5), IL-6 (Interleukin-6), IL-7 (Interleukin-7), IL-8 (Interleukin-8), IL-10 (Interleukin-10), IL-13 (Interleukin-13), IL-15 (Interleukin-15), INF- (Interferon-), MCP-1 (Monocyte Chemoattractant Protein-1), MCP-2 (Monocyte Chemoattractant Protein-2), MCP-3 (Monocyte Chemoattractant Protein-3), CXCL9 (Chemokine Ligand 9; MIG), CCL5 (Chemokine Ligand 5; RANTES), TGF-1 (Transforming Growth Factor-1), TNF- (Tumor Necrosis Factor-) and TNF- (Tumor Necrosis Factor-) by using a Human Cytokine Antibody Array Kit (Raybiotech).

[0128] Results of production rate of each cytokine compared to a control untreated with the distilled water extracts of yellow dust, TSP and PM2.5 were shown in Table 21 and FIG. 14. A positive control was treated with biotinylated antibody to identify if an experiment was well performed, a negative control was treated only with buffer to see its response baseline, and a blank was not treated at all to see background responses.

TABLE-US-00021 TABLE 21 A B C D E F G H 1 Positive Positive Negative Negative G-CSF GM-CSF GRO GRO- 2 control control control control Yellow Yellow Yellow Yellow dust: 120.2 dust: 290.8 dust: 132.5 dust: 255.7 TSP: 116.9 TSP: 117.1 TSP: 95.2 TSP: 76.3 PM2.5: 122.8 PM2.5: 120.2 PM2.5: 115.0 PM2.5: 135.9 3 IL-1 IL-2 IL-3 IL-5 IL-6 IL-7 IL-8 IL-10 4 Yellow Yellow Yellow Yellow Yellow Yellow Yellow Yellow dust: 119.0 dust: 118.7 dust: 113.8 dust: 102.3 dust: 263.9 dust: 94.8 dust: 437.7 dust: 94.6 TSP: 121.1 TSP: 147.3 TSP: 123.7 TSP: 120.0 TSP: 135.3 TSP: 111.6 TSP: 91.2 TSP: 111.8 PM2.5: 145.7 PM2.5: 132.7 PM2.5: 124.0 PM2.5: 115.2 PM2.5: 116.4 PM2.5: 108.7 PM2.5: 120.9 PM2.5: 102.5 5 IL-13 IL-15 IFN- MCP-1 MCP-2 MCP-3 CXCL9 CCL5 6 Yellow Yellow Yellow Yellow Yellow Yellow Yellow Yellow dust: 108.1 dust: 109.8 dust: 96.5 dust: 127.0 dust: 101.3 dust: 93.0 dust: 97.8 dust: 100.4 TSP: 112.7 TSP: 121.7 TSP: 106.8 TSP: 113.0 TSP: 115.8 TSP: 101.8 TSP: 98.4 TSP: 104.1 PM2.5: 112.4 PM2.5: 126.3 PM2.5: 100.3 PM2.5: 105.8 PM2.5: 123.3 PM2.5: 110.4 PM2.5: 112.7 PM2.5: 111.3 7 TGF 1 TNF TNF Blank Blank Blank Blank Positive 8 Yellow Yellow Yellow control dust: 105.3 dust: 108.4 dust: 97.6 TSP: 113.2 TSP: 104.1 TSP: 107.0 PM2.5: 101.1 PM2.5: 126.1 PM2.5: 111.3 *The figures of the above Table indicate a production rate of each cytokine compared to the control 100.

[0129] As shown in Table 21 and FIG. 14, it was shown that the yellow dust extract increased a production amount of G-CSF, GM-CSF, GRO, GRO-, IL-1, IL-2, IL-6, IL-8 and MCP-1, the TSP extract increased a production amount of G-CSF, GM-CSF, IL-1, IL-2, IL-3, IL-5, IL-6, IL-15 and MCP-2, the PM2.5 extract increased a production amount of G-CSF, GM-CSF, GRO, GRO-, IL-1, IL-2, IL-3, IL-5, IL-6, IL-8, IL-15, MCP-2 and TNF- compared to a production amount of the control.

[0130] Accordingly, it was identified that the production of different cytokines occurred depending on types of yellow dust and fine particulate. This means that inflammatory responses with different properties occurred depending on stimulus-causing substances, and that the inflammatory responses caused by yellow dust and fine particulate were distinctively different from general inflammatory responses.

Preparing Example: Cosmetic Composition Comprising Ethanol Extracts of Citrus sunki Peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica

[0131] On the grounds of the above Experimental Examples, various formulations of cosmetic composition were prepared, comprising the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica obtained from Example 1 as described in following Tables 22 to 33. Following Formulation Examples are set forth just as an example for the more specific description of the present invention, but are not to be construed to limit the content of the present invention

[0132] As seen in the above Experimental Examples, the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica showed a difference in relative effects in inhibiting the production of NO and the production of inflammatory cytokines according to each of air pollutants (yellow dust, TSP, PM10 and PM2.5), which are causes of inflammation. Thus, it is possible to prepare a cosmetic composition comprising a mixture that combines all the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica.

Formulation Example 1. High Viscosity Emulsion Formulation

[0133] A high viscosity emulsion formulation of a mixture containing each or all of the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica, obtained from Example 1, was prepared by means of a conventional method according to composition ingredients and ratios shown in following Tables 22 to 25.

[0134] <Method for Preparing a High Viscosity Emulsion Formulation>

[0135] {circle around (1)} Water and Oil Phases were Respectively Heated to be Uniformly Mixed and Dissolved.

[0136] {circle around (2)} The oil phase was inserted into the water phase at 75 C. to be mixed and solubilized together.

[0137] {circle around (3)} An additive phase I, in which a mixture containing each or all of the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica was dissolved, was inserted into the resulting mixed phase of 02 at 50 C. and mixed together, after which an additive phase II was mixed therein together.

TABLE-US-00022 TABLE 22 Phase Ingredient Content (%) Water phase Purified water To 100 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Oil phase PEG-100 stearate 0.1-2 Glyceryl stearate 0.1-2 Polysorbate 60 0.1-2 Stearic acid 0.1-2 Cetearyl alcohol 0.1-2 Caprylic/Capric Triglyceride 10-30 Tocopheryl acetate 0.1-0.5 Additive phase I Ethanol extract of Citrus sunki 0.25 peel Additive phase II Fragrance Suitable amount Preservative Suitable amount Other additive Suitable amount

TABLE-US-00023 TABLE 23 Phase Ingredient Content (%) Water phase Purified water To 100 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Oil phase PEG-100 stearate 0.1-2 Glyceryl stearate 0.1-2 Polysorbate 60 0.1-2 Stearic acid 0.1-2 Cetearyl alcohol 0.1-2 Caprylic/Capric Triglyceride 10-30 Tocopheryl acetate 0.1-0.5 Additive Ethanol extract of Sceptridium ternatum 0.25 phase I (or Botrychium ternatum) Additive Fragrance Suitable amount phase II Preservative Suitable amount Other additive Suitable amount

TABLE-US-00024 TABLE 24 Phase Ingredient Content (%) Water phase Purified water To 100 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Oil phase PEG-100 stearate 0.1-2 Glyceryl stearate 0.1-2 Polysorbate 60 0.1-2 Stearic acid 0.1-2 Cetearyl alcohol 0.1-2 Caprylic/Capric Triglyceride 10-30 Tocopheryl acetate 0.1-0.5 Additive Ethanol extract of Korthalsella japonica 0.25 phase I Additive Fragrance Suitable amount phase II Preservative Suitable amount Other additive Suitable amount

TABLE-US-00025 TABLE 25 Phase Ingredient Content (%) Water phase Purified water To 100 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Oil phase PEG-100 stearate 0.1-2 Glyceryl stearate 0.1-2 Polysorbate 60 0.1-2 Stearic acid 0.1-2 Cetearyl alcohol 0.1-2 Caprylic/Capric Triglyceride 10-30 Tocopheryl acetate 0.1-0.5 Additive Ethanol extract of Citrus sunki peel 0.25 phase I Ethanol extract of Sceptridium ternatum (or Botrychium ternatum) Ethanol extract of Korthalsella japonica Additive Fragrance Suitable amount phase II Preservative Suitable amount Other additive Suitable amount

Formulation Example 2. Low Viscosity Emulsion Formulation

[0138] A low viscosity emulsion formulation of a mixture containing each or all of the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica, obtained from Example 1, was prepared by means of a conventional method according to composition ingredients and ratios shown in following Tables 26 to 29.

[0139] <Method for Preparing a Low Viscosity Emulsion Formulation>

[0140] {circle around (1)} Water and oil phases were respectively heated to be uniformly mixed and dissolved.

[0141] {circle around (2)} The oil phase was inserted into the water phase at 75 C. to be mixed and solubilized together.

[0142] {circle around (3)} An additive phase I, in which a mixture containing each or all of the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica was dissolved, was inserted into the resulting mixed phase of {circle around (2)} at 50 C. and mixed together, after which an additive phase II was mixed therein together.

TABLE-US-00026 TABLE 26 Phase Ingredient Content (%) Water phase Purified water To 100 Ceteareth-6 olivate 0.1-3 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Oil phase PEG-100 stearate 0.1-1 Glyceryl stearate 0.1-1 Polysorbate 60 0.1-1 Cetyl alcohol 0.1-1 Behenyl alcohol 0.1-1 Squalane 5-20 Tocopheryl acetate 0.1-0.5 Additive phase I Ethanol extract of Citrus sunki peel 0.25 Additive Fragrance Suitable amount phase II Preservative Suitable amount Other additive Suitable amount

TABLE-US-00027 TABLE 27 Phase Ingredient Content (%) Water Purified water To 100 phase Ceteareth-6 olivate 0.1-3 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Oil phase PEG-100 stearate 0.1-1 Glyceryl stearate 0.1-1 Polysorbate 60 0.1-1 Cetyl alcohol 0.1-1 Behenyl alcohol 0.1-1 Squalane 5-20 Tocopheryl acetate 0.1-0.5 Additive Ethanol extract of Sceptridium ternatum 0.25 phase I (or Botrychium ternatum) Additive Fragrance Suitable amount phase II Preservative Suitable amount Other additive Suitable amount

TABLE-US-00028 TABLE 28 Phase Ingredient Content (%) Water phase Purified water To 100 Ceteareth-6 olivate 0.1-3 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Oil phase PEG-100 stearate 0.1-1 Glyceryl stearate 0.1-1 Polysorbate 60 0.1-1 Cetyl alcohol 0.1-1 Behenyl alcohol 0.1-1 Squalane 5-20 Tocopheryl acetate 0.1-0.5 Additive Ethanol extract of Korthalsella japonica 0.25 phase I Additive Fragrance Suitable amount phase II Preservative Suitable amount Other additive Suitable amount

TABLE-US-00029 TABLE 29 Phase Ingredient Content (%) Water Purified water To 100 phase Ceteareth-6 olivate 0.1-3 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Oil phase PEG-100 stearate 0.1-1 Glyceryl stearate 0.1-1 Polysorbate 60 0.1-1 Cetyl alcohol 0.1-1 Behenyl alcohol 0.1-1 Squalane 5-20 Tocopheryl acetate 0.1-0.5 Additive Ethanol extract of Citrus sunki peel 0.25 phase I Ethanol extract of Sceptridium ternatum (or Botrychium ternatum) Ethanol extract of Korthalsella japonica Additive Fragrance Suitable amount phase II Preservative Suitable amount Other additive Suitable amount

Formulation Example 3. Solubilization Formulation

[0143] A solubilization formulation of a mixture containing each or all of the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica, obtained from Example 1, was prepared by means of a conventional method according to composition ingredients and ratios shown in following Tables 30 to 33.

[0144] <Method for Preparing a Solubilization Formulation>

[0145] {circle around (1)} Water and solubilization phases were respectively and uniformly mixed and dissolved.

[0146] {circle around (2)} The solubilization phase was inserted into the water phase and mixed together to obtain an oil-in-water type emulsion.

[0147] {circle around (3)} An additive phase I, in which a mixture containing each or all of the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica was dissolved, was solubilized, after which the resulting additive phase I was inserted into the resulting mixed phase of {circle around (2)} above and mixed together, such that an additive phase II was mixed therein together and completed.

TABLE-US-00030 TABLE 30 Phase Ingredient Content (%) Water phase Purified water To 100 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Solubilization PEG-60 hydrogenated castor oil 0-2 phase PEG-40 hydrogenated castor oil 0-2 Polyhydric alcohol 0-10 Fragrance Suitable amount Ethanol 0-20 Additive Ethanol extract of Citrus sunki peel 0.25 phase I Additive Preservative Suitable amount phase II Other additive Suitable amount

TABLE-US-00031 TABLE 31 Phase Ingredient Content (%) Water phase Purified water To 100 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Solubilization PEG-60 hydrogenated castor oil 0-2 phase PEG-40 hydrogenated castor oil 0-2 Polyhydric alcohol 0-10 Fragrance Suitable amount Ethanol 0-20 Additive Ethanol extract of Sceptridium ternatum 0.25 phase I (or Botrychium ternatum) Additive Preservative Suitable amount phase II Other additive Suitable amount

TABLE-US-00032 TABLE 32 Phase Ingredient Content (%) Water phase Purified water To 100 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Solubilization PEG-60 hydrogenated castor oil 0-2 phase PEG-40 hydrogenated castor oil 0-2 Polyhydric alcohol 0-10 Fragrance Suitable amount Ethanol 0-20 Additive Ethanol extract of Korthalsella japonica 0.25 phase I Additive Preservative Suitable amount phase II Other additive Suitable amount

TABLE-US-00033 TABLE 33 Phase Ingredient Content (%) Water phase Purified water To 100 Moisturizing ingredient 10-25 Thickener Suitable amount Chelating agent Suitable amount Solubilization PEG-60 hydrogenated castor oil 0-2 phase PEG-40 hydrogenated castor oil 0-2 Polyhydric alcohol 0-10 Fragrance Suitable amount Ethanol 0-20 Additive Ethanol extract of Citrus sunki peel 0.25 phase I Ethanol extract of Sceptridium ternatum (or Botrychium ternatum) Ethanol extract of Korthalsella japonica Additive Preservative Suitable amount phase II Other additive Suitable amount

Experimental Example 7. Formulation Stability of Cosmetic Composition

[0148] Cosmetic compositions of the above Formulation Examples 1, 2 and 3 were stored for 12 weeks under a condition of 4 C., 30 C., 45 C. and sunlight, and changes in the color, odor and property of a formulation were observed through visual and sensory evaluations, wherein results thereof were indicated in Tables 34 to 36.

[0149] As shown in Tables 34 to 36, it was identified that cosmetic compositions with the high viscosity emulsion formulation, the low viscosity emulsion formulation and the solubilization formulation of the mixture containing each or all of the ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica had an excellent stability without any change in the color, odor and property, even if they were stored for a long period of time under high temperature and sunlight conditions.

[0150] <Evaluation Criteria for Stability>

[0151] No change:

[0152] Slight change:

[0153] Significant change: X

TABLE-US-00034 TABLE 34 High viscosity emulsion formulation Elapsed Change in odor Change in color Change in formulation time 4 30 45 Sun- 4 30 45 Sun- 4 30 45 Sun- (weeks) Extract C. C. C. light C. C. C. light C. C. C. light 1 Citrus 2 sunki peel 4 8 12 1 Sceptridium 2 ternatum 4 (or 8 Botrychium 12 ternatum) 1 Korthalsella 2 japonica 4 8 12 1 Mixture (1:1:1) 2 4 8 12

TABLE-US-00035 TABLE 35 Low viscosity emulsion formulation Elapsed Change in odor Change in color Change in formulation time 4 30 45 Sun- 4 30 45 Sun- 4 30 45 Sun- (weeks) Extract C. C. C. light C. C. C. light C. C. C. light 1 Citrus 2 sunki peel 4 8 12 1 Sceptridium 2 ternatum 4 (or 8 Botrychium 12 ternatum) 1 Korthalsella 2 japonica 4 8 12 1 Mixture (1:1:1) 2 4 8 12

TABLE-US-00036 TABLE 36 Solubilization formulation Elapsed Change in odor Change in color Change in formulation time 4 30 45 Sun- 4 30 45 Sun- 4 30 45 Sun- (weeks) Extract C. C. C. light C. C. C. light C. C. C. light 1 Citrus sunki 2 peel 4 8 12 1 Sceptridium 2 ternatum 4 (or 8 Botrychium 12 ternatum) 1 Korthalsella 2 japonica 4 8 12 1 Mixture (1:1:1) 2 4 8 12

Experimental Example 8. Clinical Evaluation of the Effectiveness of Cosmetic Composition Comprising Ethanol Extracts of Citrus sunki Peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica to Alleviate Stimulus after Causing Skin Inflammation by Means of Yellow Dust or Fine Particulate

[0154] To evaluate effectiveness of a cosmetic composition comprising ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica, a clinical evaluation was performed after being divided into two parts: first and second evaluations. The first test was performed with a total of 20 subjects (11 males and 9 females), while the second test was performed with a total of 22 subjects (9 males and 13 females).

[0155] In the first test, to identify if skin inflammatory responses are caused from yellow dust or fine particulate, a sodium lauryl sulfate (SLS) solution and an SLS+fine particulate solution were applied to different regions respectively to measure a change in a degree of skin redness (a*), which is a factor to identify whether the skin inflammatory responses occur or not, before application, in 1 day after application and in 2 days after application.

[0156] In the second test, to identify if a composition comprising natural plant extracts of the present invention is effective in skin inflammation caused from yellow dust or fine particulate, an SLS+fine particulate solution and an SLS+fine particulate solution+test product were applied to different regions respectively to measure a degree of skin redness (a*), an amount of skin erythema (E.I) or an amount of transepidermal water loss (TEWL), which are factors to identify whether the skin inflammatory responses occur or not, in 1 day after use, 2 days after use and 7 days after use.

[0157] In the first and second tests, the SLS was a product at a concentration of 98% prepared by Wako Inc., Japan, the fine particulate solution was prepared from Example 2, in which the yellow dust, TSP, PM2.5 and PM10 extracts were 100 to 500 diluted. The test product was a cosmetic composition comprising ethanol extracts of Citrus sunki peel, Sceptridium ternatum (or Botrychium ternatum) and Korthalsella japonica in Table 25 of the above Formulation Example 1. In the above first test, the application was performed on the left musculus biceps region of a subject, while the application of the second test was performed on the right musculus biceps region of the subject.

[0158] In case of the first experiment, a total of four visits were made. In the first visit, a measurement before product use and an attachment of skin damage patch were performed. In the second visit, a removal of the patch, a measurement of skin right after caused damage and an application of fine particulate solution were performed. In the third visit, a measurement in one day after the application of fine particulate solution was performed. In the fourth visit, a measurement in two days after the application of the fine particulate solution as well as an identification of abnormal responses were performed.

[0159] In case of the second experiment, a total of five visits were made. In the first visit, a measurement before product use and an attachment of skin damage patch were performed. In the second visit, a removal of the patch, a measurement of skin right after caused damage, an application of fine particulate solution and an application of the product were performed. In the third visit, a measurement in one day after the application of fine particulate solution was performed. In the fourth visit, a measurement in two days after the application of the fine particulate solution was performed. In the fifth visit, a measurement in seven days after the application of the fine particulate solution as well as an identification of abnormal responses were performed.

Experimental Example 8-1. Identification of Skin Inflammatory Responses Caused from Fine Particulate Through Application of Fine Particulate Solution (First Test)

[0160] (1) Identification of Changes in a Degree of Skin Redness (a*)

[0161] To identify changes in a degree of skin redness by means of an application of SLS and an application of SLS+fine particulate solution, a skin color was measured before the application, right after the application, in one day after the application and in two days after the application by using Chroma Meter CM700d (Konica Minolta Sensing Americas, Inc, USA). At every measurement, a degree of skin redness on the same region was measured three times, such that an average thereof was used as evaluation data. The degree of skin redness was indicated by measuring a* value, which indicates a degree of redness in a CIE L*a*b* color space based on human color perception. If the a* value increases, it means that a corresponding color is visually more red. Results of the degree of skin redness measured for 20 subjects were indicated as averagestandard error (SE), which were shown in a following Table 37.

TABLE-US-00037 TABLE 37 Significance probability between Application of SLS + fine application of SLS Application of SLS particulate solution and application of Degree of skin Significance Degree of skin Significance SLS + fine Classification redness (a*) Probability redness (a*) Probability particulate solution Test of 0.022# 0.000* within- subject effect Before 6.357 1.231 6.714 0.972 application Right after 9.578 1.891 10.175 1.923 0.329 application 1 day after 10.423 1.981 0.008# 12.099 2.010 0.000* 0.011+ application 2 days after 10.753 1.953 0.033 12.158 1.974 0.001* 0.029+ application *p < 0.05 Post-hoc test results of a non-parametric test, which was repeatedly measured by means of a parametric method ANOVA according to a test of normality #p < 0.025 Results of conducting a Friedman test as a non-parametric method and then a post-hoc test as a non-parametric test method according to a test of normality +p < 0.05 Independent sample t test result

[0162] As shown in Table 37, a measured value for the application of SLS and the application of SLS+fine particulate solution was significantly increased (p<0.025, p<0.05) in one day after the application, and the measured value for the application of SLS+fine particulate solution was significantly increased (p<0.05) even in two days after the application. It was identified that the measured value for the application of SLS+fine particulate solution was significantly higher (p<0.05) than the measured value for the application of SLS in one day and two days after the application.

[0163] Thus, it was identified that the degree of skin redness was significantly increased more in the application of the additional fine particulate solution compared to the application of SLS.

[0164] Based on the above results, it was identified that the fine particulate solution comprising yellow dust or fine particulate (TSP, PM2.5 and PM10) significantly increased the degree of skin redness, which is an inflammatory response factor.

Experimental Example 8-2. Identification of the Effect of Composition Comprising Natural Plant Extracts of the Present Invention on Skin Inflammation Caused from Fine Particulate (Second Test)

[0165] As seen from the changes in the degree of skin redness in the above Experimental Example 8-1, it was identified that a significant inflammatory response occurred to skin by means of the fine particulate solution, and a clinical test was performed to see if the natural plant extracts of the present invention were effective in skin inflammation caused from fine particulate.

[0166] (1) Identification of Changes in Degree of Skin Redness (a*)

[0167] To identify changes in the degree of skin redness by means of an application of SLS+fine particulate solution and an application of SLS+fine particulate solution+test product, a skin color was measured before the application, right after the application, in one day after the application, in two days after the application and in seven days after the application by using Chroma Meter CM700d, which is a skin color measuring instrument. At every measurement, the degree of skin redness on the same region was measured three times. Results of the degree of skin redness measured for 22 subjects were indicated as averagestandard error (SE), which were shown in a following Table 38.

TABLE-US-00038 TABLE 38 Significance probability between application of SLS + fine particulate solution and Application of SLS + fine application of Application of SLS + fine particulate solution + test SLS + fine particulate solution product particulate Degree of skin Significance Degree of skin Significance solution + test Classification redness (a*) Probability redness (a*) Probability product Test of 0.001* 0.000* within- subject effect Before 6.473 1.121 6.516 1.132 application Right after 10.639 1.947 10.586 1.928 0.928 application 1 day after 12.073 1.920 0.000* 11.886 2.033 0.000* 0.756 application 2 days after 11.470 2.204 0.094 10.556 1.961 1 0.154 application 7 days after 10.845 2.193 1 8.870 2.033 0.000* 0.003+ application *p < 0.05 Post-hoc test results of a non-parametric test, which was repeatedly measured by means of a parametric method ANOVA according to a test of normality #p < 0.025 Results of conducting a Friedman test as a non-parametric method and then a post-hoc test as a non-parametric test method according to a test of normality +p < 0.05 Independent sample t test result

[0168] As shown in Table 38, a measured value for the application of SLS+fine particulate solution and the application of SLS+fine particulate solution+test product was significantly increased (p<0.05) in one day after the application, and the measured value for the application of SLS+fine particulate solution+test product was significantly decreased (p<0.05) in seven days after use. It was identified that the measured value for the application of SLS+fine particulate solution+test product was significantly decreased (p<0.05) compared to the measured value for the application of SLS+fine particulate solution in seven days after the application.

[0169] Thus, it was identified that the application of the additional test product significantly decreased the degree of skin redness, and it was identified that the application of SLS+fine particulate solution+test product decreased the degree about 20.0% in seven days after the application compared to the application of SLS+fine particulate solution.

[0170] (2) Identification of Changes in Skin Erythema (E.I)

[0171] To identify changes in an amount of skin erythema by means of application of SLS+fine particulate solution and application of SLS+fine particulate solution+test product, an amount of the skin erythema was measured before application, right after application, in one day after application, in two days after application and in seven days after application in such a way that an amount of hemoglobin under the skin was measured with light reflected from a probe at 568 nm (green), 660 nm (red) and 880 nm (near-infrared) by using a skin color measuring instrument (narrow-band reflectance spectrophotometer) called Mexameter (Courage+Khazaka Electronic GmbH, Germany), which uses only a narrow band wavelength. At every measurement, the degree of skin erythema (E.I) on the same region was measured three times, such that an average thereof was used as evaluation data. Results of the degree of skin erythema measured for 22 subjects were indicated as averagestandard error (SE), which were shown in a following Table 39.

TABLE-US-00039 TABLE 39 Significance probability between application of SLS + fine particulate solution and application of Application of SLS + fine Application of SLS + fine SLS + fine particulate solution particulate solution + test product particulate Skin erythema Significance Skin erythema Significance solution SLS + Classification (E.I) Probability (E.I) Probability test product Test of within- 0.000* 0.000* subject effect Before 155.230 32.531 159.894 49.908 application Right after 230.320 50.246 231.682 50.240 0.938 application 1 day after 301.000 61.231 0.000* 291.720 67.237 0.000* 0.636 application 2 days after 303.682 66.220 0.000* 287.545 68.626 0.000* 0.432 application 7 days after 303.182 83.330 0.000* 251.652 78.974 0.534 0.040+ application *p < 0.05 Post-hoc test results of a non-parametric test, which was repeatedly measured by means of a parametric method ANOVA according to a test of normality #p < 0.025 Results of conducting a Friedman test as a non-parametric method and then a post-hoc test as a non-parametric test method according to a test of normality +p < 0.05 Independent sample t test result

[0172] As shown in Table 39, a measured value for the application of SLS+fine particulate and the application of SLS+fine particulate+test product was significantly increased (p<0.05) in one day and two days after the application, and the measured value for the application of SLS+fine particulate was significantly increased (p<0.05) in seven days after use. It was identified that the measured value for the application of SLS+fine particulate solution+test product was significantly decreased (p<0.05) compared to the measured value for the application of SLS+fine particulate in seven days after the application of fine particulate.

[0173] Thus, it was identified that the application of the additional test product significantly decreased a degree of skin erythema (E.I) and the application of SLS+fine particulate solution+test product decreased the degree about 16.8% in seven days after the application compared to the application of SLS+fine particulate solution.

[0174] (3) Identification of Changes in Transepidermal Water Loss (TEWL)

[0175] To identify changes in a transepidermal water loss (TEWL) by means of application of SLS+fine particulate solution and application of SLS+fine particulate solution+test product, the TEWL was measured by means of a vapometer (Delfin Technologies Ltd, Finland) before application, right after application, in one day after application, in two days after application and in seven days after application. At every measurement, the TEWL on the same region was measured three times, such that an average thereof was used as evaluation data. Results of the degree of skin erythema measured for 22 subjects were indicated as averagestandard error (SE), which were shown in a following Table 40.

TABLE-US-00040 TABLE 40 Significance probability between application of SLS + fine particulate Application of SLS + solution and Application of SLS + fine fine particulate application of particulate solution solution + test product SLS + fine Transepidermal Transepidermal particulate water loss Significance water loss Significance solution + Classification (TEWL) Probability (TEWL) Probability test product Test of within- 0.000# 0.000# subject effect Before 7.682 2.286 7.650 1.840 application Right after 44.818 23.304 46.055 26.923 1 application 1 day after 58.227 34.123 0.001# 47.500 24.141 0.921 0.213 application 2 days after 28.086 9.246 0.000# 23.770 8.255 0.000# 0.017** application 7 days after 18.368 8.376 0.000# 11.968 3.439 0.000# 0.005** application *p < 0.05 Post-hoc test results of a non-parametric test, which was repeatedly measured by means of a parametric method ANOVA according to a test of normality #p < 0.025 Results of conducting a Friedman test as a non-parametric method and then a post-hoc test as a non-parametric test method according to a test of normality +p < 0.05 Independent sample t test result **p < 0.05 Mann-Whitney U test result

[0176] As shown in Table 40, a measured value for the application of SLS+fine particulate solution was significantly increased (p<0.025) in one day after the application, and was significantly decreased (p<0.025) in two days and seven days after the application. A measured value for the application of SLS+fine particulate solution+test product was significantly decreased (p<0.025) in two days and seven days after the application. It was identified that the application of SLS+fine particulate solution+test product significantly decreased the TEWL (p<0.05) compared to the application of SLS+fine particulate in two days and seven days after the application.

[0177] Thus, it was identified that the application of the additional test product significantly decreased the TEWL, and it was identified that the application of SLS+fine particulate solution decreased the degree about 33.2% in seven days after the application compared to the application of SLS+fine particulate solution.

[0178] (4) Intermediate Conclusion

[0179] As seen in the above Experimental Example 8-2, it was identified that the test product all decreased a degree of skin redness (a*), an amount of skin erythema (E.I) or an amount of transepidermal water loss (TEWL), which are skin inflammation factors by means of fine particulate in seven days later, based on which it was identified that the test product alleviated skin inflammation caused from fine particulate.