RAPID AND LOW-COST SAMPLING FOR DETECTION OF AIRBORNE SARS-COV-2 IN DEHUMIDIFIER CONDENSATE
20230323488 · 2023-10-12
Inventors
- Govind Rao (Ellicott City, MD, US)
- Xudong Ge (Woodstock, MD, US)
- Douglas D. FREY (Ellicott City, MD, US)
- Sai Sathish RAMAMURTHY (Reisterstown, MD, US)
- DIPANJAN PAN (ELLICOTT CITY, MD, US)
Cpc classification
B01L2200/0652
PERFORMING OPERATIONS; TRANSPORTING
B01L2200/16
PERFORMING OPERATIONS; TRANSPORTING
B01L3/502761
PERFORMING OPERATIONS; TRANSPORTING
International classification
B01L3/00
PERFORMING OPERATIONS; TRANSPORTING
Abstract
The present invention relates to the use of a condensate collector such as portable or stationary dehumidifier placed in a defined testing space or area and used as a readily available and affordable tool to collect airborne virus particles in collected condensate from the testing atmosphere in the defined testing space or area, wherein the collected condensate is analyzed for virus biomarkers to identify viruses, such as SARS-CoV-2 or mutants or variants thereof, in the testing atmosphere.
Claims
1. A method of collecting bioaerosols particles of a suspected virus in a defined area, the method comprising: positioning a dehumidifier in the defined area; collecting the bioaerosols particles in the condensate of the dehumidifier; and concentrating the condensate to isolate any captured bioaerosols particles for further analysis.
2. The method of claim 1, further comprising removing condensate from the dehumidifier prior to concentration of said condensate.
3. The method of claim 1, wherein the bioaerosols particles comprise virus particles or biomarkers.
4. The method of claim 1, further comprising analyzing the captured bioaerosols particles for coronavirus biomarkers selected from COVID-19 or mutants or variants thereof.
5. The method of claim 1, wherein the collecting of the bioaerosols particles in the condensate is for about 10 minutes to several days.
6. The method of claim 1, wherein the bioaerosols particles comprise virus particles or biomarkers and wherein the captured virus particles or biomarkers are analyzed to determine virus type and quantity.
7. The method of claim 1, wherein the dehumidifier is a low-grain refrigerant (LGR) dehumidifier.
8. The method of claim 1, wherein concentration of the condensate to isolate virus particles or biomarkers in the condensate is effectuated using an affinity microcolumn.
9. The method of claim 1, wherein the bioaerosols particles comprise virus particles or biomarkers and wherein the captured virus particles or biomarkers are analyzed using rapid flow enzyme-linked immunosorbent assay (ELISA).
10. The method of claim 1, wherein collecting the bioaerosols particles in the condensate of the dehumidifier is conducted under humidity conditions ranging from about 40-60% at about room temperature.
11. The method of claim 1, wherein the bioaerosols particles comprise virus particles or biomarkers and wherein the captured virus particles or biomarkers are analyzed using RNA based analysis employing commercially available RT-LAMP, reverse-transcription polymerase chain reaction (RT-PCR) kits, or a nano-sensing platform using lanthanide-doped carbon nanoparticles (LCNPs), to provide a distinct fluorescence response in the presence of SARS-CoV-2.
12. The method of claim 1, wherein the dehumidifier further comprises viral transport medium (VTM) in a condensate container to stabilize any collected virus.
13. The method of claim 1, wherein the concentrated condensate is analyzed for RNA or S-protein from COVID-19 or mutants or variants thereof.
14. The method of claim 1, wherein a humidifier is positioned in the defined area to increase moisture content in the defined area.
15. A system for detecting aerosolized virus particles or biomarkers in an atmosphere within a defined space, the system comprising: a dehumidifier for collecting the aerosolized virus particles or biomarkers, wherein collected aerosolized virus particles or biomarkers are contained in a condensate of the dehumidifier; a collection system for removing the condensate from the dehumidifier; an affinity microcolumn for concentrating collected aerosolized virus particles or biomarkers, wherein the collection system is communicatively connected to the affinity microcolumn; and a detection system for analyzing the collected aerosolized virus particles or biomarkers in the condensate.
16. The system of claim 15, wherein the dehumidifier is a low-grain refrigerant (LGR) dehumidifier.
17. The system of claim 15, wherein the detection system comprises a rapid flow enzyme-linked immunosorbent assay (ELISA).
18. The system of claim 15, wherein collecting the aerosolized virus particles or biomarkers in the condensate of the dehumidifier is conducted under humidity conditions ranging from about 40-60% at room temperature.
19. The system of claim 15, wherein the detection system comprises a RNA based analysis device employing commercially available RT-LAMP. reverse-transcription polymerase chain reaction (RT-PCR) system, or a nano-sensing platform using lanthanide-doped carbon nanoparticles (LCNPs).
20. The system of claim 15, wherein the dehumidifier further comprises viral transport medium (VTM) in a condensate container to stabilize any collected virus.
Description
BRIEF DESCRIPTION OF FIGURES
[0029]
[0030]
[0031]
[0032]
[0033]
[0034]
[0035]
[0036]
[0037]
DETAILED DESCRIPTION OF THE INVENTION
[0038] Various embodiments of the disclosure will be described in detail with reference to figures. Reference to various embodiments does not limit the scope of the invention. Additionally, any examples set forth in this specification are not limiting and merely set forth some of the many possible embodiments of the claimed invention.
[0039] All scientific and technical terms used herein have meanings commonly used in the art unless otherwise specified. The definitions provided herein are to facilitate understanding of certain terms used frequently herein and are not meant to limit the scope of the present disclosure.
[0040] “Include,” “includes,” or like terms means encompassing but not limited to, that is, inclusive and not exclusive.
[0041] “Optional” or “optionally” means that the subsequently described step, feature, condition, characteristic, or structure, occurs/is present or does not occur/is not present, while still being within the scope described.
[0042] The words “preferred” and “preferably” refer to embodiments of the disclosure that may afford certain benefits, under certain circumstances. However, other embodiments may also be preferred, under the same or other circumstances. Furthermore, the recitation of one or more preferred embodiments does not imply that other embodiments are not useful and is not intended to exclude other embodiments from the scope of the inventive technology.
[0043] As used in this specification and the appended claims, the term “or” is generally employed in its sense including “and/or” unless the content clearly dictates otherwise. The term “and/or” means one or all of the listed elements or a combination of any two or more of the listed elements.
[0044] As used herein, “have”, “has”, “having”, “include”, “includes”, “including”, “comprise”, “comprises”, “comprising” or the like are used in their open-ended inclusive sense, and generally mean “include, but not limited to”, “includes, but not limited to”, or “including, but not limited to”.
[0045] While various features, elements or steps of particular embodiments may be disclosed using the transitional phrase “comprising,” it is to be understood that alternative embodiments, including those that may be described using the transitional phrases “consisting of” or “consisting essentially of” are implied.
[0046] “Spike protein” or “S” protein as used interchangeably herein refers to one of four main structural proteins of a coronavirus. The spike protein is heavily N-linked glycosylated and utilizes an N-terminal signal sequence to gain access to the endoplasmic reticulum (ER). Homotrimers of the virus-encoding S protein make up the distinctive spike structure on the surface of the virus. In many coronaviruses, the S protein is cleaved by a host cell furin-like protease into two separate polypeptides noted S1 and S2. S1 makes up the large receptor-binding domain (RBD) of the S protein while S2 forms the stalk of the spike molecule.
[0047] As previously stated, airborne spread of coronavirus disease 2019 (COVID-19) by infectious aerosol is currently spreading around the globe. The present invention provides a novel approach to rapidly provide information about the prevalence of a virus, for example an aerosolized virus such as a coronavirus, e.g., severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), in the atmosphere at any location. The use of a portable or stationary dehumidifier is an available and affordable tool to collect airborne virus in the condensate. The dehumidifiers are deployed in selected locations of a defined space, such as a hospital ward with patients reporting flu-like symptoms which could possibly be due to a coronavirus, e.g., COVID-19, and testing of the area for aerosols particles can be easily monitored. Samples are then analyzed frequently for virus biomarkers, such as virus envelope protein and SARS-CoV-2 RNA. The present invention provides a facile pool testing method to sample air in any location in the world and assess the presence and concentration of an infectious agent to obtain quantitative risk assessment of exposure, designate zones as “hot spots” and minimize the need for individual testing which may often be time consuming, expensive, and laborious.
[0048] For the testing methods of the present invention, a condensate collector of atmospheric particles or virus biomarkers is placed in an area to monitor such atmospheric particles or virus biomarkers for a specific virus. Any such condensate collector device, such as a portable or stationary dehumidifier may be used. The dehumidifier can be either a conventional dehumidifier or more preferably a low-grain refrigerant (LGR) dehumidifier because LGR dehumidifiers provide maximum power in removing moisture from the air, LGR dehumidifiers have a double cooling system that lowers the temperature of moisture-filled air once inside the machine. This leads to more condensation that can be easily collected for further testing of virus particles. Preferably, testing is conducted in an area under humidity conditions ranging from 40-60% at room temperature of 25° C., which is a typical parameter for conditioned space. Importantly and preferably the LGR unit is able to process 4 cubic meters air per minute (CMM) or 4,000 liters per minute for optimal testing.
[0049] As air is drawn through a LGR dehumidifier it is basically a two-stage system capable of achieving very efficient condensation. The rated condensate generation capacity is approximately 1.5 liter/hour, so one can expect 50 mL condensate collected in two minutes. As stated above, the collection efficiency is calibrated in an environmental chamber under humidity conditions ranging from 40-60% at room temperature of 25° C., which is a typical parameter for conditioned space. Ideally, the unit is able to process 4 cubic meters air per minute (CMM) or 4,000 liters per minute. Notably, conventional aerosol samplers cannot achieve these rates unless scaled up to impractical sizes.
[0050] Testing of the collected condensate from the dehumidifier may include several testing methods to determine the viral load including chromatographic capture of the virus and then using a rapid ELISA for quantitation. By deploying an LGR dehumidifier that can pull in 4,000 L of air in one minute and generate 50 mL condensate, about 8,000 ug over can be captured in about two minutes. Assuming 5 mL of this binds to a 25-microliter capture column in 10 minutes and a 1 column volume elution is performed capture could be in the range of 32 pg/mL Other sensitive detection schemes may include systems such as I-dimensional photonic crystal/Bragg grating based monitoring of the fluorescent immunoassay or biosensing with fluorescent nanodiamonds.
[0051] The target area for testing is achieved by a simple sizing of the dehumidifier used, or by simply deploying additional units. The present invention considers that conventional bioaerosol samplers may not be as effective although having higher collection efficiency because they rely on impingement/membranes for collection and so would require enormous samplers (or very long times) to achieve the same sample rate that is needed.
Examples
[0052] For testing, four portable dehumidifiers were placed at various test locations around a hospital ward at the University of Maryland Medical Center in Baltimore and such dehumidifiers obtained condensate samples for viral load analysis on different dates. The systems and placement are shown in
[0053] The present air sampling methodology is a robust indicator of a potential contact pool of SARS-CoV-2 which can be used as a tool to implement strategies in a community bubble. Furthermore, it helps in developing isolation strategies focusing on reducing disease burden thereby lowering morbidity and mortality. Thus, community mixing can be restricted through various social behavioral patterns by indirectly measuring the surge in COVID-19 as opposed to observing confirmed cases (La Rosa et al., 2020), many of which could have been arrested beforehand. By employing this simple methodology, as shown in
Materials and Methods
[0054] Four identical 900 ml dehumidifiers (ICETEK B0863HNVNS from Amazon) were numbered 1-4 and deployed at the various sites indicated in
Detection of Spike Protein (S-Protein) Using Commercial ELISA Kit.
[0055] The collected condensate samples were analyzed with a SARS-CoV-2 S-protein ELISA kit purchased from RayBiotech. This kit determined the presence and estimate of Spike protein (S2 subunit) of SARS-CoV-2 in the samples and was used as per manufacturer's protocol. Briefly, the ELISA technique was performed using a 96-well plate. Seven known concentrations (2000, 666.7, 222.2, 74.07, 24.69, 8.231, 2.744 ng/ml) of S-protein and 31 water samples) with unknown S-protein concentration were pipetted into the microliter plate wells with a volume of 100 μL of each sample. The plates were covered and incubated at room temperature (18-25° C.) for 2.5 h. After 2.5 h the wells were emptied, washed with diluted wash buffer, followed by addition of dilute biotinylated antibody (100 μL) and incubated for 1 h at room temperature. Wells were washed properly to eliminate the possibility of erroneous results. After 1 h, wells were washed again with diluted wash buffer, 100 μL streptavidin added to them and incubated for another 45 min at room temperature. After 45 mins the streptavidin solution was discarded, wells were washed properly, and 100 μL of the given substrate solution mixture was added. The well plate was covered and incubated for 30 mins at room temperature in the dark with gentle shaking. After 30 mins, stop solution was added to each well. The stop solution changes the color from blue to yellow, and the intensity (absorbance) of the color was measured at 450 nm using a BioTeK plate reader and Gen 5.0 software. Measurements were tested in duplicate sets, and the average value was then utilized to determine the final S-protein concentration.
Extraction of RNA and Determination for the Presence of SARS-CoV-2 Using a Commercial One Step RT-qPCR Kit.
[0056] For RNA extraction, 50 mL of each heat inactivated water sample was aliquoted into sterile tubes, snap frozen and freeze dried (Freeze One 2.5, Labconco). Samples were then resuspended in 500 μL of sterile RNase free water, briefly vortexed and centrifuged at room temperature at 4000×g for 5 minutes. They were then lysed with an equal volume of lysis buffer containing 2-mercaptoethanol and an equal volume of 100% ethanol, vortexed and added to microcentrifuge tubes fitted with spin cartridges. The samples were centrifuged at and the flow through was discarded. They were then washed using wash buffer I and centrifuged again and washed twice with wash buffer II containing ethanol for the same time at the same speed following the manufacture's protocol (Invitrogen). All flow through was discarded and 200 μL of RNase free water was added to each sample and incubated for one minute at room temperature following which they were centrifuged for a few minutes and the eluent was collected. The eluent was analyzed using a NanoDrop (ThermoScientific) instrument for the presence of RNA and determination of its concentration.
[0057] If RNA was found to be present in the samples by Nanodrop measurements, then RT-PCR and RT-LAMP assay was performed to confirm the presence of SARS-CoV-2 virus, SARS-CoV-2. Accordingly, RT-PCR for SARS-CoV-2 detection was carried out using a One Step RT-qPCR Kit from GoldBio (St. Louis, MO) run on a StepOne Plus Real Time PCR instrument (Applied BioSystems, USA). The PCR cyclic process was performed using the program detailed in the RT-qPCR protocol kit. The CDC recommended probes were used for the assay: 2019-nCoV_N1 probe, 2019-nCoV_N2 probe. TaqMan® probes are labeled at the 5′-end with the reporter molecule 6-carboxyfluorescein (FAM) and with the quencher, Black Hole Quencher 1 (BHQ-1) at the 3′-end. Briefly, 5 μL of each RNA sample was treated with 1.5 probe mix, 10 μL of 2×Master Mix and the volume made up to 20 μL with RNase free water. The RT-PCR was run using a first cycling step of 30 minutes at 42° C. followed by one cycle of initial denaturation with a holding time of 3 minutes at 95° C. 40 cycles were used for denaturation and annealing/extension, the first with a holding time of 10 secs at 95° C. and the latter with a holding time of 30 seconds at 55° C. Data was analyzed thereafter.
One-Step Loop-Mediated Isothermal Amplification (LAMP) of RNA Samples.
[0058] One-step Loop-Mediated Isothermal Amplification (LAMP) of RNA (RT-LAMP) targets was performed using WarmStart LAMP Kit (DNA & RNA) from New England BioLabs following the manufacturer's protocol. The primers were designed by PrimerExplorer V5 software targeted for N gene segment of SARS-CoV-2. Briefly, the primer mix was prepared and 5 of each RNA sample was treated with 12.5 μL of the supplied 2×Master Mix, 0.5 μL of fluorescent dye (50×), 2.5 μL of the prepared primer mix (10×) and the volume made up to 25 μL with RNase free water. The samples were then incubated on a heat block with gentle shaking at 65° C. for 30 minutes followed by deactivation at 85° C. for another 5 minutes. They were then diluted 3 times and added to the wells of a microplate reader and the fluorescent emission intensity was recorded.
[0059] To further validate the ability of a dehumidifier to concentrate an aerosolized substance from the air, a cool-mist humidifier (CVS Health) and an 1800 cubic feet dehumidifier (ICETEK) were first placed inside a small, sealed room. After the operation of only the dehumidifier overnight, the humidifier was turned on (see
Results and Discussion
[0060] Water samples collected at the University of Maryland Medical Center were first analyzed using a SARS-CoV-2 S-protein ELISA kit. All the experiments were carried out at room temperature and samples were tested in duplicates. The mean value obtained was then utilized to determine the final S-protein concentration. A calibration curve was initially generated using the known S-protein concentrations (
[0061] A nanosensing platform that was previously developed in the inventor's laboratory was used as a parallel detection technique (Alafeef et al., 2019, 2020; Moitra et al., 2020). This platform was applied to 17 condensate (water) samples collected as described previously. The sensor consists of lanthanide-doped carbon nanoparticles (LCNPs) that provide a distinct fluorescence response towards the presence of SARS-CoV-2 specific viral protein (Table 3 below). The fluorescence responses obtained from the sensors were classified using a k-mean clustering machine-learning algorithm to identify the presence of SARS CoV-2 (Alafeef et al., 2019). The clustered signature attributes were used to identify the pathogen type based on the commonalities in the data set (Moitra et al., 2017). The results obtained were also compared with those from the ELISA kit to confirm the reliability of the lanthanide sensor matrix.
[0062] Based on the promising results just described above, an attempt was made to quantify the viral SARS-CoV-2 RNA in the water samples. Accordingly, RNA was extracted from all the samples (Table 4 below) and RT-LAMP and RT-PCR were performed to detect the presence of the viral SARS-CoV-2 RNA results obtained for the water samples indicated that no viral RNA was detected. This was attributed to either the low detection limit of the methods used or to deactivation or destabilization of SARS CoV-2 RNA in the dehumidifier chamber. To remove the possibility of viral destabilization in the sampling method, 50 ml VTM was added to the dehumidifier chamber. This was done to ensure the stability of the viral RNA in the condensate.
[0063] Following sample collection in VTM, and although RNA was detected in most of the samples (Table 5 below), both RT-PCR and RT-LAMP again did not detect viral RNA. Since sampling was performed at regular intervals and the condensate was collected as a whole instead of as fractions, this implies the presence of other detected RNAs alongside the viral RNA. Since VTM stabilizes RNA, it was inferred that there was cohabitation of all RNA types in the sampling chamber. This indicates that destabilization of viral RNA in the sampler is not the cause of the lack of viral RNA detection, but instead the cause is likely due to the relatively low sensitivity of the detection method used. To confirm this, an experiment was performed using gamma-killed virions from BEI (sample NR-52287, BEI Resources, NIAID, NIH, consists of a crude preparation of cell lysate and supernatant from Cercopithecus aethiops kidney epithelial cells (Vero E6; ATCC CRL-1586) infected with SARS-CoV-2, isolate USA-WA1/2020 that was gamma-irradiated (5×10.sup.6 RADs) on dry ice. The viral samples were diluted to similar concentrations as used for other samples obtained from the dehumidifier condensate. Two different concentrations were used and were spiked into the dehumidifier condensate. An RT-LAMP experiment was then performed using these samples which showed an increase in emission at 520 nm confirming the presence of SARS-CoV-2 viral RNA (
[0064] Interestingly, the presence of S-protein was still able to be detected close to the minimum detectable limit (
[0065] To further confirm the results, RT-PCR, RT-LAMP, and protein ELISA assays were performed with respect to positive and negative controls. For RT-PCR and RT-LAMP, quantitative PCR (qPCR) control RNA from heat-inactivated SARS-related coronavirus 2, isolate USA-WA1/2020, NR 52347, obtained from BEI, was used as the positive control and RNAse free water was used as the negative control. For the protein ELISA assay, the SARS-CoV-2 spike protein was used and provided with the kit as the positive control and assay buffer as the negative control. The standard curve, shown in
[0066] The present invention may be used in testing with different protein loads and contaminants generally encountered in a hospital environment. These samples will be aerosolized to assess interferences and to obtain data on false positives and negatives. Based on these studies, controls will be developed that will be used to assess accuracy and quantify false alarm rates. Also additional AI systems will be used and specifically Physics-Informed Neural Networks (PINNs) (Raissi et al., 2019) and deep learning methods for error detection and standardization of the sampling protocol.
[0067] Furthermore, it can be expected that the risk of false positives and negatives depends upon a variety of diverse factors. For example, if the kit used to perform either ELISA or RT-PCR is not sensitive enough towards the target, then a false negative may occur. Pekosz et al. (2021), recently conducted a study that evaluated both RT-PCR and antigen-based COVID-19 diagnosis using the conventional gold standard technique (i.e., virus culture in VeroE6TMPRSS2 cell). The study revealed that the antigen test demonstrated a higher positive predictive value (90%) than RT-PCR (70%) when compared with the virus culture results. The results found herein supports the antigen tests over RT-PCR. Therefore, the choice of the kit can affect both sensitivity and specificity of the obtained results. In addition, if the RT-PCR or ELISA technique is not performed following good molecular biology practices, carryover contamination might be observed in subsequent reactions resulting in false positive or false-negative results.
[0068] The overall results of this study are summarized in Table 1. Most strikingly, SARS-CoV-2 viral protein was detected over some period in all the samplers. This has implications for the efficacy of air filtration systems currently employed. Although airborne SARS-CoV-2 is widely implicated in the spread of COVID-19, there is great uncertainty over the precise mechanisms of exposure and susceptibility. The viral load in the atmosphere presumably fluctuates depending on the actual shedding by the infected persons and their number. The results cast a new light on this subject. However, the present invention has shown that the novel technique of sampling condensate from a dehumidifier can provide evidence of the airborne virus. Given the widespread use of air-conditioning equipment in homes and businesses worldwide, sampling their condensate provides a simple means of pool testing for virus presence analogous to those proposed for sewage monitoring. This approach also solves the major problem faced by conventional swab or saliva testing, where results can take several days. Antibody and point-of-care (POC) tests are more rapid but are geared towards individual patient testing and do not assess environmental airborne infection risk.
TABLE-US-00001 TABLE 1 Summary of results Number of samples 25 analyzed (Phase I without VTM) Found positive using Protein ELISA 1 (4% positive) Found positive using Lanthanide Array 5 (20% positive) Found positive using RT-LAMP Not detected Found positive using RT-PCR Not detected Number of samples 8 analyzed (Phase II with VTM) Found positive using Protein ELISA 5 (62.5% positive) Found positive using RT-LAMP Not detected Found positive using RT-PCR Not detected Note: Condensate samples collected during Phase I and Phase II samples included viral transport medium (VTM) in tank to stabilize any collected virus. RT-LAMP and RT-PCR analyses were performed on RNA isolated from samples; ELISA and Lanthanide array were performed directly on the samples. Abbreviations: ELISA, enzyme-linked immunosorbent assay; RT-PCR, reverse-transcription polymerase chain reaction; VTM, viral transport medium.
[0069] Sampling in the current testing was done at regular intervals of 24-72 h and the condensate stored at 4° C. for further analyses. To ascertain the stability of the viral RNA, VTM was used for the latter phase of studies while maintaining the same sampling intervals. RNA was detected in both phases of the testing although the presence of SARS-CoV-2 viral RNA was not confirmed using both RT-PCR and RT-LAMP. As stated above, this could be due to the extensive dilution of the viral RNA in the sample chamber and the limitations of the detection methods for wastewater samples. It is believed that the inherent instability of the viral RNA in different processing steps might not be the reason behind this failure in SARS-CoV-2 detection as is also supported by the recently published reports. The viral RNA remains detectable and does not degrade for up to 7 days or longer in VTM (Rogers et al., 2020). In fact, stability studies of the influenza virus A (H1N1) in a similar storage medium (PrimeStore MTM) indicate that viral RNA can be preserved and stabilized for up to 30 days under these conditions (Daum et al., 2011). Since the Coronavirus is an enveloped virus, its recovery rate from water samples is substantially lower than that of non-enveloped viruses (Rusinol et al., 2020). The major approaches to concentrate water samples include precipitation using polyethylene glycol (PEG), adsorption/elution, centrifugal ultrafiltration, aluminum hydroxide flocculation, and electronegative filtration (Ahmed et al., 2020; Hjelmsø et al., 2017). Recovery rates are also specific to the strain of the virus, their charge and hydrophobicity, and partition to solids. Notably, the results shown herein provides a novel method for air sampling in any resource-limited settings across the globe. Coupled with sensitive and rapid assays that are being developed, there is the possibility of achieving near real-time sensing of SARS-CoV-2 in the atmosphere, thereby providing an actionable threat assessment.
[0070] Although RT-LAMP and RT-PCR-based analyses did not detect the virus, as mentioned earlier this may be attributed to the dilution of the viral concentration in a large volume of media and inherent instability of the viral RNA in the further processing steps used. In support of this conclusion, past studies on wastewater sampling and detection indicate the low concentration of the virus to be a major limitation (La Rosa et al., 2020). The key to the present invention is the ability to reliably integrate air sampling, virus capture, virus concentration, virus detection, and virus confirmation. By capturing virus from a known volume of air (specified by the room dimensions) and then measuring the amount of virus, it is possible to determine the viral load and thereby assess infection risk in the hospital environment.
[0071] There are three important parameters for this process: (1) the flow rate of air through the sampler; (2) the sampler run time; and (3) the amount of virus collected. The volume of air is simply calculated by multiplying the flow rate through the sampler by the sampler run time. However, the capture efficiency is a function of not only the viral load but temperature, and humidity parameters in the sampling environment, in which case inferring the original amount of virus in the air from the amount of virus captured may be a source of a significant error in the method.
[0072] RT-PCR has a limit of detection (LOD) of 6 copies/μl while RT-LAMP has a corresponding value of 0.75 copies/W. It may be presumed that these LOD values are above the detection limit required for analyses of the wastewater samples used here where the viruses are extensively diluted. Typical limits of detection required for wastewater analyses are in the range of 2 copies/100 ml-3×10.sup.3 copies/ml (Foladori et al., 2020). In the current testing, details concerning the persons in the hospital near samplers were not accessed. Instead, the focus of the present invention was on environmental monitoring of the viral load in different locations. In addition, any SARS-CoV-2 infected patients were possibly on closed-circuit ventilators, and the efficiency of air exchanges in different locations of the hospital also varied.
[0073] Further testing is conducted on aerosol collection from subjects in a defined area to confirm the viral load in those samples. Droplets naturally emanating from humans during respiration, speech and cough contain epithelial cells and immune system cells, inorganic ions (sodium, potassium, and chloride) present in mucous and saliva, and infectious load (bacteria, fungi, and virus). On the other hand, the droplets generated artificially in hospital settings have sterile water containing saline and pharmaceutical aerosols as the primary constituents. These factors should be taken into account (Atkinson et al., 2009).
[0074] The testing methods of the present invention were further validated using the ability of the dehumidifier to collect aerosolized sodium chloride. The results for the validation study on the collection of aerosolized substances from the air are shown in
[0075] In light of the recent pandemic, most countries are struggling to strike a balance between protecting their residents and maintaining their economies. In such unprecedented times, the world has witnessed overburdening of healthcare facilities and increased risk of transmission via healthcare workers and in places with high human footfall. In an attempt to reduce the possibility of infection by adopting testing methods capable of producing effective and fast results in a cost-effective manner, the present invention provides a simple, facile, and affordable testing method for areas with high population density or footfall by avoiding laborious and time-consuming individual testing. The use of dehumidifiers in designated areas would allow for analysis of the collected condensate in a rapid and facile manner, thus allowing authorities to designate zones as “hot spots” in case of a positive result. The method of sampling is both novel and effective, given the nature of transmission of coronaviruses and the unavailability of individual testing in many remote areas.
[0076] The present invention contemplates a system that can provide an output for determining the level of a virus components in a short time, such as between 10 and 30 minutes. The method and quick return system are shown in
[0077] In the integrated Bio-Mod system, the condensate (which contains the collected bioaerosols) is combined with buffer and this mixture is then directed to the capture microcolumn, whose packing consist of particles (HisPur™ Cobalt Resin, tentacled particles, CaptoCore 700 etc.). These particles have specific antibodies bound to the surface such that any SARS-CoV-2 antigens present in the sample will be captured. As a first pass, commercially available anti-SARS-CoV-2 antibody conjugated to various resins as the capture matrix is used. As an alternative capture matrix, histidine tagged Griffithsin may be used captured on a metal affinity column, which is a small protein reported to bind SARS-CoV-2 and many other viruses with high affinity.
[0078] During the testing, a second buffer containing labeled secondary anti-SARS-CoV-2 spike protein antibody flows through the column, then washed to remove unbound labeled antibody. The amount of remaining labelled antibody is read directly on-column using a fluorescence detector as shown in
[0079] If the sample is positive, the sample is flagged, and system sends an alert that the sample needs to go for confirmatory testing. Then, the positive sample is heat inactivated and stored for retrieval. If negative, sample goes to waste drain.
[0080] This entire process is estimated to take approximately 15 minutes from end-to-end with the results displayed on the device at the end of this period. Notably in fifteen minutes, the column can be regenerated and ready for the next sample. By using two multiplexed columns, one can use them alternately and obtain readouts every 15 minutes as specified. If more frequent sampling is desired, one can increase the number of columns to obtain a higher density readout. In addition to their use as single-use elements in the Bio-MOD systems, microcolumn-based sensors have been developed that use immobilized binding proteins.
REFERENCES
[0081] The contents of all references cited herein are incorporated herein by reference for all purposes. [0082] Ahmed, W., Bertsch, P. M., Bivins, A., Bibby, K., Farkas, K., Gathercole, A., & Kitajima, M. (2020). Comparison of virus concentration methods for the RT-qPCR-based recovery of murine hepatitis virus, a surrogate for SARS-CoV-2 from untreated wastewater. Science of the Total Environment, 739, 139960. [0083] Alafeef, M., Dighe, K., & Pan, D. (2019). Label-free pathogen detection based on yttrium-doped carbon nanoparticles up to single-cell resolution. ACS Applied Materials & Interfaces, 11(46), 42943-42955. [0084] Alafeef, M, Dighe, K., Moitra, P., Pan, D. Rapid, Ultrasensitive, and Quantitative Detection of SARS-CoV-2 Using Antisense Oligonucleotides Directed Electrochemical Biosensor Chip. ACS Nano 2020, 14, 12, 17028-17045. [0085] Alafeef, M., Moitra, P., & Pan, D. (2020). Nano-enabled sensing approaches for pathogenic bacterial detection. Biosensors and Bioelectronics, 165, 112276. [0086] Atkinson, J., Chartier, Y., Pessoa-Silva, C. L., Jensen, P., Li, Y., & Seto, W. (2009). Natural ventilation for infection control in health-care settings. World Health Organization. [0087] Chia, P. Y., Coleman, K. K., Tan, Y. K., Ong, S. W. X, Gum, M., Lau, S. K., Lim, X. F., Lim, A., S., Sutjipto, S., Lee, P. H., Son, T. T., Young, B. E., Milton, D. K., Gray, G. C., Schuster, S., Barkham, T., De, P. P., Vasoo, S., Chan, M., Ang, B. S. P., Tan, B. H., Leo, Y.-S., Ng, O.-T., Wong, M. S. Y., & Marimuthu, K. (2020). Detection of air and surface contamination by SARS-CoV-2 in hospital rooms of infected patients. Nature Communications, 11(1), 1-7. [0088] Daum, L., Worthy, S., Yim, K., Nogueras, M., Schuman, R., Choi, Y., & Fischer, G. W. (2011). A clinical specimen collection and transport medium for molecular diagnostic and genomic applications. Epidemiology and Infection, 139(11), 1764-1773. [0089] Foladori, P., Cutrupi, F., Segata, N., Manara, S., Pinto, F., Malpei, F., Bruni, L., & La Rosa, G. (2020). SARS-CoV-2 from faeces to wastewater treatment: What do we know? A review. Science of The Total Environment, 743, 140444. [0090] Furukawa, N. W., Brooks, J. T., & Sobel, J. (2020). Evidence supporting transmission of severe acute respiratory syndrome coronavirus 2 while presymptomatic or asymptomatic. Emerging Infectious Diseases, 26(7), e1-e6. [0091] Guo, Z.-D., Wang, Z.-Y., Zhang, S.-F., Li, X., Li, L., Li, C., & Chi, X.-Y. (2020). Aerosol and surface distribution of severe acute respiratory syndrome coronavirus 2 in hospital wards, Wuhan, China, 2020. Emerging Infectious Diseases, 26(7), 1583-1591. [0092] Hamner, L. (2020). High SARS-CoV-2 attack rate following exposure at a choir practice-Skagit County, Washington, March 2020. Morbidity and Mortality Weekly Report, 69(19), 606-610. [0093] Hjelmsø, M. H., Hellmér, M., Fernandez-Cassi, X., Timoneda, N., Lukjancenko, O., Seidel, M., & Schultz, A. C. (2017). Evaluation of methods for the concentration and extraction of viruses from sewage in the context of metagenomic sequencing. PLoS One, 12(1), e0170199. [0094] Lednicky, J. A., Lauzardo, M., Fan, Z. H., Jutla, A., Tilly, T. B., Gangwar, M., & Eiguren-Fernandez, A. (2020). Viable SARS-CoV-2 in the air of a hospital room with COVID-19 patients. International Journal of Infectious Diseases, 100, 476-482. [0095] Lee, S., Meyler, P., Mozel, M., Tauh, T., & Merchant, R. (2020). Asymptomatic carriage and transmission of SARS-CoV-2: What do we know? [Patients asymptomatiques du SARS-CoV-2 et transmission du virus: Oú en sont nos connaissances?]. Canadian Journal of Anaesthesia/Journal Canadien d' Anesthesie, 67(10), 1424-1430. [0096] Lewis, D. (2020). Is the coronavirus airborne? Experts can't agree. Nature, 580(7802), 175. [0097] Liu, Y., Ning, Z., Chen, Y., Guo, M., Liu, Y., Gali, N. K., & Westerdahl, D. (2020). Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals. Nature, 582(7813), 557-560. [0098] Lu, J., Gu, J., Li, K., Xu, C., Su, W., Lai, Z., & Yang, Z. (2020). COVID-19 outbreak associated with air conditioning in restaurant, Guangzhou, China, 2020. Emerging Infectious Diseases, 26(7), 1628-1631. [0099] Ma, J., Qi, X., Chen, H., Li, X., Zhan, Z., Wang, H., & Morawska, L. (2020). Exhaled breath is a significant source of SARS-CoV-2 emission. medRxiv. [0100] Moitra, P., Alafeef, M., Dighe, K., Frieman, M. B., Pan, D. (2020). Selective naked-eye detection of SARS-CoV-2 mediated by N gene targeted antisense oligonucleotide capped plasmonic nanoparticles. ACS Nano, 14, 7617-7627. [0101] Moitra, P., Subramanian, Y., & Bhattacharya, S. (2017). Concentration dependent self-assembly of TrK-NGF receptor derived tripeptide: new insights from experiment and computer simulations. The Journal of Physical Chemistry B, 121(4), 815-824. [0102] Morawska, L., & Cao, J. (2020). Airborne transmission of SARS-CoV-2: The world should face the reality. Environment International, 139, 105730. [0103] Morawska, L., Tang, J. W., Bahnfleth, W., Bluyssen, P. M., Boerstra, A., Buonanno, G., & Franchimon, F. (2020). How can airborne transmission of COVID-19 indoors be minimised? Environment International, 142, 105832-105837. [0104] Pekosz, A., Parvu, V., Li, M., Andrews, J. C., Manabe, Y. C., Kodsi, S., Gary, D. S., Roger-Dalbert, C., Leitch, J., & Cooper, C. K. (2021). Antigen-based testing but not real-time polymerase chain reaction correlates with severe acute respiratory syndrome coronavirus 2 viral culture. Clinical Infectious Diseases, ciaa1706. [0105] Prather, K. A., Wang, C. C., & Schooley, R. T. (2020). Reducing transmission of SARS-COV-2. Science, 368(6498), 1422-1424. [0106] Prussin, A. J., & Marr, L. C. (2015). Sources of airborne microorganisms in the built environment. Microbiome, 3(1), 78. [0107] Raissi, M., Perdikaris, P., & Karniadakis, G. E. (2019). Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations. Journal of Computational Physics, 378, 686-707. [0108] Rogers, A. A., Baumann, R. E., Borillo, G. A., Kagan, R. M., Batterman, H. J., Galdzicka, M. M., & Marlowe, E. M. (2020). Evaluation of transport media and specimen transport conditions for the detection of SARS-CoV-2 by use of real-time reverse transcription-PCR. Journal of Clinical Microbiology, 58(8), 1-5. [0109] La Rosa, G., Iaconelli, M., Mancini, P., Bonanno Ferraro, G., Veneri, C., Bonadonna, L., & Suffredini, E. (2020). First detection of SARS-COV-2 in untreated wastewaters in Italy. Science of the Total Environment, 736, 139652. [0110] Rusiñol, M., Martinez-Puchol, S., Forés, E., Itarte, M., Girones, R., & Bofill-Mas, S. (2020). Concentration methods for the quantification of coronavirus and other potentially pandemic enveloped virus from wastewater. Current Opinion in Environmental Science & Health, 17, 21-28. [0111] Santarpia, J. L., Herrera, V. L., Rivera, D. N., Ratnesar-Shumate, S., Denton, P. W., Martens, J. W. S., & Lawler, J. V. (2020). The infectious nature of patient-generated SARS-CoV-2 aerosol. MedRxiv. [0112] Santarpia, J. L., Rivera, D. N., Herrera, V. L., Morwitzer, M. J., Creager, H. M., Santarpia, G. W., & Broadhurst, M. J. (2020). Aerosol and surface contamination of SARS-CoV-2 observed in quarantine and isolation care. Scientific Reports, 10(1), 1-8. [0113] Stadnytskyi, V., Bax, C. E., Bax, A., & Anfinrud, P. (2020). The airborne lifetime of small speech droplets and their potential importance in SARS-CoV-2 transmission. Proceedings of the National Academy of Sciences of the United States of America, 117(22), 11875-11877. [0114] WHO. (2020). Modes of transmission of virus causing COVID-19: implications for IPC precaution recommendations: scientific brief. WHO reference number: WHO/2019-nCoV/Sci_Brief/Transmission_modes/2020.2.
TABLE-US-00002 TABLE 2 Concentration of SARS-CoV-2 S-protein as determined by the ELISA assay. Sample Number Concentration (ng/mL) 0630_4 0.52 0630_3 0.56 0701_3 Not detected 0701_4 0.41 0702_4 0.55 0702_3 0.43 0703_3 0.56 0703_4 0.59 0630_1 0.26 0630_2 0.37 0701_2 0.15 0701_1 0.55 0702_1 0.42 0702_2 Not detected 0703_2 0.37 0703_1 0.63 0706_2b 0.50 0706_4 0.91 0706_1d 0.85 0706_1a 0.94 0706_1b 0.80 0706_1c 1.13 0706_3 1.36 0706_2c 2.61 0706_2a 0.67 Note: The sample code starts with the date of sample collection from hospital followed by the dehumidifier number, i.e., 0630_4 indicates the water sample has been collected from dehumidifier number 4.
TABLE-US-00003 TABLE 3 Comparison of lanthanide-doped carbon nanoparticles sensor array results with Spike protein ELISA. LCNPs biosensor Results based on our sensor Sample Number (ΔI/I.sub.0) (15 minutes) 0630_4 0.43 −VE 0630_3 0.49 −VE 0701_3 0.46 −VE 0701_4 0.55 −VE 0702_4 0.47 −VE 0702_3 0.51 −VE 0703_3 0.52 −VE 0703_4 0.48 −VE 0630_1 0.30 −VE 0630_2 0.39 −VE 0701_2 0.26 −VE 0701_1 0.29 −VE 0702_1 0.33 −VE 0702_2 0.31 −VE 0703_2 0.47 −VE 0703_1 0.47 −VE 0706_2b 0.76 −VE 0706_4 1.40 −VE 0706_1d 1.66 −VE 0706_1a 2.38 +VE 0706_1b 2.97 +VE 0706_1c 2.65 +VE 0706_3 2.18 +VE 0706_2c 2.37 +VE 0706_2a 1.95 −VE Note: The sample code starts with the date of sample collection from the hospital followed by the dehumidifier number, i.e., 0630_4 indicates the water sample has been collected from dehumidifier number 4.
TABLE-US-00004 TABLE 4 Summarization of RNA extraction results for the sampling Sample Concentration Number (ng/μL) A.sub.260/A.sub.280 A.sub.260/A.sub.230 Inference 0723_1a — — — No RNA detected 0723_2a — — — No RNA detected 0723_3a — — — No RNA detected 0723_4a — — — No RNA detected 0728_1a 0.4 1.23 0.09 RNA detected 0728_2a 0.3 1.8 0.07 RNA detected 0728_3a 0.4 1.39 0.19 RNA detected 0728_4a 0.5 1.50 0.05 RNA detected 0730_1a — — — No RNA detected 0730_2a — — — No RNA detected 0730_3a — — — No RNA detected 0730_4a — — — No RNA detected 0803_1a — — — No RNA detected 0803_2a 0.1 0.57 0.01 RNA detected 0803_3 2.7 1.36 0.25 RNA detected 0803_4 0.3 0.33 0.01 RNA detected 0807_1a 1.3 1.72 0.01 RNA detected 0807_2a 0.3 0.57 0.06 RNA detected 0807_3a 0.6 0.79 0.02 RNA detected 0807_4 0.2 0.37 0.00 RNA detected 0810_1a 0.2 0.24 0.08 RNA detected 0810_2a 0.2 0.32 0.03 RNA detected 0810_3a — — — No RNA detected 0810_4 — — — No RNA detected Note: The sample code starts with the date of sample collection from hospital followed by the dehumidifier number, i.e., 0723_1a indicates the water sample has been collected from dehumidifier number 1.
TABLE-US-00005 TABLE 5 Results of RNA extraction from samples collected in VTM. Sample Collection Date, Concentration Number (ng/μL) A.sub.260/A.sub.280 A.sub.260/A.sub.230 Inference 0903_1a — — — No RNA detected 0903_2a 6.2 1.52 0.03 RNA detected 0903_3a — — — No RNA detected 0903_4a 0.1 0.24 0.0 RNA detected 0910_1a 2.0 1.48 0.14 RNA detected 0910_2a 12.5 1.51 0.58 RNA detected 0910_3a 1.5 1.15 0.05 RNA detected 0910_4a 0.9 0.67 0.15 RNA detected Note: The sample code starts with the date of sample collection from hospital followed by the dehumidifier number, i.e., 0903_1a indicates the water sample has been collected from dehumidifier number 1.