A method for identifying and analyzing dissolved organic nitrogen of different sources in wastewater includes extracting DON in wastewater to obtain a DON extract, detecting mass spectrum peaks in the DON extract, pre-processing the spectral data of the wastewater sample; constructing a network relationship of the substance reaction in the wastewater sample; screening the substance reaction relationship of DON; and determining different sources of DON.

The present invention relates to the field of analysis of traditional Chinese medicine, and in particular to a method of establishing a fingerprint spectrum of a traditional Chinese medicine composition with effect of regulating depression emotion or a formulation thereof, wherein the traditional Chinese medicine composition consists of the following traditional Chinese medicine extracts in parts by weight: 40˜80 parts of Hypericum perforatum extract, 10˜40 parts of Acanthopanax senticosus extract, and 2˜20 parts of tree peony root bark extract; and the method comprises establishing the fingerprint spectrum by high performance liquid chromatography, and the chromatographic conditions are as follows: an octadecylsilane bonded silica gel chromatographic column is used as a chromatographic column; column temperature is 25˜35° C.; flow rate is 0.5˜1.1 mL/min; detection wavelength is 290˜310 nm; mobile phase A is phosphoric acid aqueous solution, mobile phase B is acetonitrile, and a gradient elution program is used.

Analysis of a breath sample is a noninvasive point-of-care tool with ever increasing screening and clinical applicability. Herein we describe a method to analyze the content of low-level, trace volatile organic compounds from alveolar breath captured as a breath sample from a patient suspected of having a disease related to coronavirus infection. The breath sample is then analyzed using a gas phase analysis methodology, such as gas chromatography-mass spectroscopy (“GCMS”), to generate an analysis result, such as a GCMS spectrum. A computer system is then used to develop a fingerprint pattern from the analysis result. The fingerprint pattern is then used to determine a patient status for the patient. The fingerprint pattern is typically a grouping of 75 to 450 compounds of known concentration which are indicative of a particular disease related to coronavirus.

Parts are exposed to liquid chromatography to generate a corresponding chromatogram, wherein the chromatogram is compared to a chromatogram of a genuine part to determine if the tested part is suspect counterfeit. Depending on the selected predetermined target analytes, the generated chromatogram can be used to assess an associated manufacturing process as conforming or non-conforming.

Analysis of a breath sample is a noninvasive point-of-care tool with ever increasing clinical applicability. Herein we describe a method to analyze the content of low-level, trace volatile organic compounds from alveolar breath captured as a breath sample from a patient suspected of having a fatty liver disease. The breath sample is then analyzed using a gas phase analysis methodology, such as gas chromatography-mass spectroscopy (“GCMS”), to generate an analysis result, such as a GCMS spectrum. A computer system is then used to develop a fingerprint pattern from the analysis result. The fingerprint pattern is then used to determine a patient status for the patient. The fingerprint pattern is typically a grouping of 75 to 450 compounds of known concentration which are indicative of a particular fatty liver disease.

The present disclosure relates to an identification method of volatile flavor compounds in meat and use thereof in meat line identification. The identification method includes the following steps: step 1, sample treatment: selecting meat samples for incubation; step 2, sample analysis: analyzing gas samples of the meat samples obtained in step 1 by gas chromatography-ion mobility spectrometry (GC-IMS); and step 3, data analysis: qualitatively analyzing compounds using Library Search software of a gas chromatograph-ion mobility spectrometer to obtain a composition and peak intensities thereof, and establishing visual fingerprints according to data of relative ion peak intensities of the gas samples. According to the method, the trace volatile flavor compounds in the meat can be rapidly identified, featuring stable results, short analysis time, and visualization. The method can be used in application fields of flavor compound analysis, quality identification, origin traceability, and grade discrimination of meat products.

Analytical methods that can be employed to reliably separate known or suspected allergens in a complex mixture of fragrance ingredients are described.

A mass spectrum generation section (22) generates an original mass spectrum at a peak of a target compound based on data acquired through analysis on a sample. A background spectrum generation section (23) generates a background spectrum in accordance with each of a plurality of predetermined background acquisition conditions. A difference mass spectrum calculation section (25) obtains a difference mass spectrum by subtracting the each background spectrum from the original mass spectrum, and a spectrum similarity calculation section (27) calculates a similarity between each difference mass spectrum and a standard mass spectrum of a candidate compound selected from a spectrum library (28). A compound identification section (29) identifies the candidate compound as the target compound if the highest similarity exceeds a predetermined threshold.

The present invention provides a reference fingerprint of virgin olive oil, and an establishment method and an application thereof. By using UPLC-FLD, the chromatographic information of various components in the extra virgin olive oil is obtained, breaking through the limitation of establishment of fingerprints by means of conventional GC-MS method and based on the fatty acid composition of edible oil, and further solving the problem that traditional fingerprints only use a single component for determination and thus result in false positivity. Meanwhile, similarity calculation is conducted on the chromatographic information of serial extra virgin olive oil, establishing a reference fingerprint of virgin olive oil, reinforcing the polymorphism of fingerprint information, reflecting its differences from edible oil from the perspectives of the substance composition, distribution, and content of virgin olive oil, helping improve accuracy of identification, and enabling rapid, convenient and accurate identification of the quality of virgin olive oil.

The present invention discloses a fingerprint detection method for an antidepressant drug, which adopts liquid chromatography to characterize pharmacological active ingredients of the antidepressant drug composed of Hypericum perforatum L., Paeonia lactiflora Pall, Gardenia jasminoides Ellis, Albizia julibrissin Durazz, and Moutan Cortex, provides an effective detection method, and realizes the quality control of traditional Chinese medicine compositions. The fingerprint detection method provided by the present invention has the advantages of high repeatability and high stability.