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Borges R, Bandeira CCS, Zerbinati RM, Palmieri M, Schwab G, Henrique Braz-Silva P, A L Lindoso J, Martinho H. Infrared spectroscopy as a predictive tool for the severity of COVID-19 using patient's saliva: A strategy to avoid hyperinflammation. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 317:124320. [PMID: 38718743 DOI: 10.1016/j.saa.2024.124320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 03/01/2024] [Accepted: 04/19/2024] [Indexed: 05/31/2024]
Abstract
Discriminate the severity level of COVID-19 disease is still a challenge. Here we investigate the capability of micro-infrared absorption spectroscopy (micro-FTIR) to probe COVID-19 severity level and predict hyperinflammation, correlating the assigned vibrational data to relevant biomolecules related to the immune system. Saliva of 184 patients was analysed by ELISA assay (Hepcidin) and micro-FTIR. Vibrational bands related to IgM and IgA can discriminate healthy from Severe individuals (sensitivity ≥ 0.749, specificity ≥ 0.945) and are less effective in discriminating Mild or Moderate individuals from the Severe group (sensitivity ≥ 0.628, specificity ≥ 0.867). Analysis of the second derivative of spectra probed increased levels of IL-6 in the saliva a key additional information for the degree of severity prediction. Because the model discriminates all the groups regarding the Severe group, it predicts an intense state of inflammation based on FTIR analysis. It is a powerful tool for predicting hyperinflammation conditions related to SARS-CoV-2 infection and may be an ally in implementing drugs or therapeutic approaches to manage COVID-19 in the Severe stage in healthcare facilities.
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Affiliation(s)
- Roger Borges
- Center for Natural and Human Sciences, Federal University of ABC (UFABC), Brazil; School of Biomedical Engineering, Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, Brazil
| | - Carla C S Bandeira
- Center for Natural and Human Sciences, Federal University of ABC (UFABC), Brazil
| | - Rodrigo M Zerbinati
- Institute of Infectious Diseases Emílio Ribas, Institute of Tropical Medicine of São Paulo, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Michelle Palmieri
- Department of Stomatology, University of São Paulo School of Dentistry, Brazil
| | - Gabriela Schwab
- Institute of Infectious Diseases Emílio Ribas, Institute of Tropical Medicine of São Paulo, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Paulo Henrique Braz-Silva
- Institute of Infectious Diseases Emílio Ribas, Institute of Tropical Medicine of São Paulo, School of Medicine, University of São Paulo, São Paulo, Brazil; Department of Stomatology, University of São Paulo School of Dentistry, Brazil
| | - José A L Lindoso
- Institute of Infectious Diseases Emílio Ribas, Institute of Tropical Medicine of São Paulo, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Herculano Martinho
- Center for Natural and Human Sciences, Federal University of ABC (UFABC), Brazil.
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2
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Othman AM, Sabry YM, Khalil D, Saadany B, Bourouina T. A disposable optofluidic micro-transmission cell with tailorable length for Fourier-transform infrared spectroscopy of biological fluids. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:262-268. [PMID: 38111305 DOI: 10.1039/d3ay01710a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Mid-infrared Fourier-transform infrared (FT-IR) spectroscopy of liquid biological samples is limited by the high absorption of water in this spectral range, which makes conventional transmission cuvettes unsuitable as their centimeter-scale length is already too big. The most common alternative relies on the use of attenuated total reflection (ATR) accessories, which provide a small interaction path length for light along the interface between the analyte and the expensive ATR crystals. In this work, we address this issue by proposing a disposable and low-cost micro-transmission cell. Its construction relies on a simple technique, which consists of dispersing plastic spherical microparticles in a liquid sample before dispensing it between two pieces of silicon assembled one onto the other and acting as windows for the cell. Consequently, the microparticles act as a spacer of very precise height in-between the two silicon windows. This technique allows easy construction of infrared absorption cells with near-optimum optical interaction path length just by selecting the most appropriate particle size. The concept is demonstrated by measuring the concentration of glucose in aqueous solutions using microspheres of diameter 20 μm then 40 μm and analyzing the corresponding glucose absorption peaks in the wavenumber range 950-1200 cm-1. The performance is compared to that of standard ATR spectroscopy of the same samples. This resulted in a root-mean-square error of cross-validation (RMSECV) of 58.8 mg dl-1 as obtained for transmission measurements by partial least squares (PLS) regression, which is comparable to the RMSECV of 53 mg dl-1 for single-reflection diamond ATR measurements.
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Affiliation(s)
- Ahmed M Othman
- Université Gustave Eiffel, ESYCOM CNRS UMR 9007, Noisy-le-Grand ESIEE Paris, 93162, France.
- Si-Ware Systems, 3 Khalid Ibn Al-Waleed St., Heliopolis, Cairo, Egypt
| | - Yasser M Sabry
- Si-Ware Systems, 3 Khalid Ibn Al-Waleed St., Heliopolis, Cairo, Egypt
- Faculty of Engineering, Ain-Shams University, 1 Elsarayat St. Abbassia, Cairo, Egypt
| | - Diaa Khalil
- Si-Ware Systems, 3 Khalid Ibn Al-Waleed St., Heliopolis, Cairo, Egypt
- Faculty of Engineering, Ain-Shams University, 1 Elsarayat St. Abbassia, Cairo, Egypt
| | - Bassam Saadany
- Si-Ware Systems, 3 Khalid Ibn Al-Waleed St., Heliopolis, Cairo, Egypt
| | - Tarik Bourouina
- Université Gustave Eiffel, ESYCOM CNRS UMR 9007, Noisy-le-Grand ESIEE Paris, 93162, France.
- CINTRA, IRL 3288 CNRS-NTU-THALES, Nanyang Technological University, 637553, Singapore
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3
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Karthikeyan S, Vazquez-Zapien GJ, Martinez-Cuazitl A, Delgado-Macuil RJ, Rivera-Alatorre DE, Garibay-Gonzalez F, Delgado-Gonzalez J, Valencia-Trujillo D, Guerrero-Ruiz M, Atriano-Colorado C, Lopez-Reyes A, Lopez-Mezquita DJ, Mata-Miranda MM. Two-trace two-dimensional correlation spectra (2T2D-COS) analysis using FTIR spectra to monitor the immune response by COVID-19. J Mol Med (Berl) 2024; 102:53-67. [PMID: 37947852 DOI: 10.1007/s00109-023-02390-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/22/2023] [Accepted: 10/20/2023] [Indexed: 11/12/2023]
Abstract
There is a growing trend in using saliva for SARS-CoV-2 detection with reasonable accuracy. We have studied the responses of IgA, IgG, and IgM in human saliva by directly comparing disease with control analyzing two-trace two-dimensional correlation spectra (2T2D-COS) employing Fourier transform infrared (FTIR) spectra. It explores the molecular-level variation between control and COVID-19 saliva samples. The advantage of 2T2D spectra is that it helps in discriminating remarkably subtle features between two simple pairs of spectra. It gives spectral information from highly overlapped bands associated with different systems. The clinical findings from 2T2D show the decrease of IgG and IgM salivary antibodies in the 50, 60, 65, and 75-years COVID-19 samples. Among the various COVID-19 populations studied the female 30-years group reveals defense mechanisms exhibited by IgM and IgA. Lipids and fatty acids decrease, resulting in lipid oxidation due to the SARS-CoV-2 in the samples studied. Study shows salivary thiocyanate plays defense against SARS-CoV-2 in the male population in 25 and 35 age groups. The receiver operation characteristics statistical method shows a sensitivity of 98% and a specificity of 94% for the samples studied. The measure of accuracy computed as F score and G score has a high value, supporting our study's validation. Thus, 2T2D-COS analysis can potentially monitor the progression of immunoglobulin's response function to COVID-19 with reasonable accuracy, which could help diagnose clinical trials. KEY MESSAGES: The molecular profile of salivary antibodies is well resolved and identified from 2T2D-COS FTIR spectra. The IgG antibody plays a significant role in the defense mechanism against SARS-CoV-2 in 25-40 years. 2T2D-COS reveals the absence of salivary thiocyanate in the 40-75 years COVID-19 population. The receiver operation characteristic (ROC) analysis validates our study with high sensitivity and specificity.
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Affiliation(s)
- Sivakumaran Karthikeyan
- Department of Physics, Dr. Ambedkar Government Arts College, Chennai, Tamil Nadu, 600039, India.
| | - Gustavo J Vazquez-Zapien
- Centro de Investigación y Desarrollo del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, 11400, Mexico.
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, Mexico City, 11200, Mexico.
| | - Adriana Martinez-Cuazitl
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, Mexico City, 11200, Mexico
- Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Mexico City, 07320, Mexico
| | - Raul J Delgado-Macuil
- Centro de Investigación en Biotecnología Aplicada, Instituto Politécnico Nacional, Tlaxcala, 90700, Mexico
| | - Daniel E Rivera-Alatorre
- Centro de Investigación y Desarrollo del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, 11400, Mexico
| | - Francisco Garibay-Gonzalez
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, Mexico City, 11200, Mexico
| | - Josemaria Delgado-Gonzalez
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, Mexico City, 11200, Mexico
| | - Daniel Valencia-Trujillo
- Servicio de Microbiología Clínica, Instituto Nacional de Enfermedades Respiratorias, Mexico City, 14080, Mexico
| | - Melissa Guerrero-Ruiz
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, Mexico City, 11200, Mexico
| | - Consuelo Atriano-Colorado
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, Mexico City, 11200, Mexico
| | - Alberto Lopez-Reyes
- Laboratorio de Gerociencias, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Mexico City, 14389, Mexico
| | | | - Monica M Mata-Miranda
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, Mexico City, 11200, Mexico.
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Hackshaw KV, Yao S, Bao H, de Lamo Castellvi S, Aziz R, Nuguri SM, Yu L, Osuna-Diaz MM, Brode WM, Sebastian KR, Giusti MM, Rodriguez-Saona L. Metabolic Fingerprinting for the Diagnosis of Clinically Similar Long COVID and Fibromyalgia Using a Portable FT-MIR Spectroscopic Combined with Chemometrics. Biomedicines 2023; 11:2704. [PMID: 37893078 PMCID: PMC10604557 DOI: 10.3390/biomedicines11102704] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/01/2023] [Accepted: 10/03/2023] [Indexed: 10/29/2023] Open
Abstract
Post Acute Sequelae of SARS-CoV-2 infection (PASC or Long COVID) is characterized by lingering symptomatology post-initial COVID-19 illness that is often debilitating. It is seen in up to 30-40% of individuals post-infection. Patients with Long COVID (LC) suffer from dysautonomia, malaise, fatigue, and pain, amongst a multitude of other symptoms. Fibromyalgia (FM) is a chronic musculoskeletal pain disorder that often leads to functional disability and severe impairment of quality of life. LC and FM share several clinical features, including pain that often makes them indistinguishable. The aim of this study is to develop a metabolic fingerprinting approach using portable Fourier-transform mid-infrared (FT-MIR) spectroscopic techniques to diagnose clinically similar LC and FM. Blood samples were obtained from LC (n = 50) and FM (n = 50) patients and stored on conventional bloodspot protein saver cards. A semi-permeable membrane filtration approach was used to extract the blood samples, and spectral data were collected using a portable FT-MIR spectrometer. Through the deconvolution analysis of the spectral data, a distinct spectral marker at 1565 cm-1 was identified based on a statistically significant analysis, only present in FM patients. This IR band has been linked to the presence of side chains of glutamate. An OPLS-DA algorithm created using the spectral region 1500 to 1700 cm-1 enabled the classification of the spectra into their corresponding classes (Rcv > 0.96) with 100% accuracy and specificity. This high-throughput approach allows unique metabolic signatures associated with LC and FM to be identified, allowing these conditions to be distinguished and implemented for in-clinic diagnostics, which is crucial to guide future therapeutic approaches.
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Affiliation(s)
- Kevin V. Hackshaw
- Department of Internal Medicine, Division of Rheumatology, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA
| | - Siyu Yao
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.Y.); (H.B.); (S.d.L.C.); (S.M.N.); (M.M.G.); (L.R.-S.)
| | - Haona Bao
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.Y.); (H.B.); (S.d.L.C.); (S.M.N.); (M.M.G.); (L.R.-S.)
| | - Silvia de Lamo Castellvi
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.Y.); (H.B.); (S.d.L.C.); (S.M.N.); (M.M.G.); (L.R.-S.)
- Campus Sescelades, Departament d’Enginyeria Química, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain
| | - Rija Aziz
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (M.M.O.-D.); (W.M.B.); (K.R.S.)
| | - Shreya Madhav Nuguri
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.Y.); (H.B.); (S.d.L.C.); (S.M.N.); (M.M.G.); (L.R.-S.)
| | - Lianbo Yu
- Center of Biostatistics and Bioinformatics, The Ohio State University, Columbus, OH 43210, USA;
| | - Michelle M. Osuna-Diaz
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (M.M.O.-D.); (W.M.B.); (K.R.S.)
| | - W. Michael Brode
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (M.M.O.-D.); (W.M.B.); (K.R.S.)
| | - Katherine R. Sebastian
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (M.M.O.-D.); (W.M.B.); (K.R.S.)
| | - M. Monica Giusti
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.Y.); (H.B.); (S.d.L.C.); (S.M.N.); (M.M.G.); (L.R.-S.)
| | - Luis Rodriguez-Saona
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.Y.); (H.B.); (S.d.L.C.); (S.M.N.); (M.M.G.); (L.R.-S.)
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5
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Karthikeyan S, Mata-Miranda MM, Martinez-Cuazitl A, Delgado-Macuil RJ, Garibay-Gonzalez F, Sanchez-Monroy V, Lopez-Reyes A, Rojas-Lopez M, Rivera-Alatorre DE, Vazquez-Zapien GJ. Dynamic response antibodies SARS-CoV-2 human saliva studied using two-dimensional correlation (2DCOS) infrared spectral analysis coupled with receiver operation characteristics analysis. Biochim Biophys Acta Mol Basis Dis 2023:166799. [PMID: 37400001 DOI: 10.1016/j.bbadis.2023.166799] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/12/2023] [Accepted: 06/26/2023] [Indexed: 07/05/2023]
Abstract
COVID-19 has affected the entire world due to the rapid spread of SARS-CoV-2, mainly through airborne particles from saliva, which, being easily obtained, help monitor the progression of the disease. Fourier transform infrared (FTIR) spectra combined with chemometric analysis could increase the diagnostic efficiency of the disease. However, two-dimensional correlation spectroscopy (2DCOS) is superior to conventional spectra as it helps to resolve the minute overlapped peaks. In this work, we aimed to use 2DCOS and receiver operating characteristic (ROC) analyses to compare the immune response in saliva associated with COVID-19, which could be important in biomedical diagnosis. FTIR spectra of human saliva samples from male (575) and female (366) patients ranging from 20 to 82 ± 2 years of age were used for the study. Age groups were segregated as G1 (25-40 ± 2 years), G2 (45-60 ± 2 years), and G3 (65-80 ± 2 years). The results of the 2DCOS analysis showed biomolecular changes in response to SARS-CoV-2. 2DCOS analyses of the male G1 + (1579,1644) and -(1531,1598) crossover peaks evidenced changes such as amide I > IgG. Female G1 crossover peaks -(1504,1645), (1504,1545) and -(1391,1645) resulted in amide I > IgG > IgM. The asynchronous spectra in 1300-900 cm-1 of the G2 male group showed that IgM is more important in diagnosing infections than IgA. Female G2 asynchronous spectra -(1027,1242) and + (1068,1176) showed that IgA > IgM is produced against SARS-CoV-2. The G3 male group evidenced antibody changes in IgG > IgM. The absence of IgM in the female G3 population diagnoses a specifically targeted immunoglobulin associated with sex. Moreover, ROC analysis showed sensitivity (85-89 % men; 81-88 % women) and specificity (90-93 % men; 78-92 % women) for the samples studied. The general classification performance (F1 score) of the studied samples is high for the male (88-91 %) and female (80-90 %) populations. This high PPV (positive predictive value) and NPV (negative predictive value) verify our segregation of COVID-19 positive and negative sample groups. Therefore, 2DCOS with ROC analysis using FTIR spectra have the potential for a non-invasive approach to monitoring COVID-19.
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Affiliation(s)
- Sivakumaran Karthikeyan
- Department of Physics, Dr. Ambedkar Government Arts College, Chennai 600039, Tamil Nadu, India.
| | - Monica Maribel Mata-Miranda
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, Mexico City 11200, Mexico
| | - Adriana Martinez-Cuazitl
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, Mexico City 11200, Mexico; Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Mexico City 07320, Mexico
| | - Raul Jacobo Delgado-Macuil
- Centro de Investigación en Biotecnología Aplicada, Instituto Politécnico Nacional, Tlaxcala, 90700, Mexico
| | - Francisco Garibay-Gonzalez
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, Mexico City 11200, Mexico
| | | | - Alberto Lopez-Reyes
- Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Mexico City, 14389, Mexico
| | - Marlon Rojas-Lopez
- Centro de Investigación en Biotecnología Aplicada, Instituto Politécnico Nacional, Tlaxcala, 90700, Mexico
| | - Daniel Enrique Rivera-Alatorre
- Centro de Investigación y Desarrollo del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, 11400, Mexico
| | - Gustavo Jesus Vazquez-Zapien
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, Mexico City 11200, Mexico; Centro de Investigación y Desarrollo del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, 11400, Mexico.
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6
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Delrue C, De Bruyne S, Speeckaert MM. Unlocking the Diagnostic Potential of Saliva: A Comprehensive Review of Infrared Spectroscopy and Its Applications in Salivary Analysis. J Pers Med 2023; 13:907. [PMID: 37373896 DOI: 10.3390/jpm13060907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/20/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
Infrared (IR) spectroscopy is a noninvasive and rapid analytical technique that provides information on the chemical composition, structure, and conformation of biomolecules in saliva. This technique has been widely used to analyze salivary biomolecules, owing to its label-free advantages. Saliva contains a complex mixture of biomolecules including water, electrolytes, lipids, carbohydrates, proteins, and nucleic acids which are potential biomarkers for several diseases. IR spectroscopy has shown great promise for the diagnosis and monitoring of diseases such as dental caries, periodontitis, infectious diseases, cancer, diabetes mellitus, and chronic kidney disease, as well as for drug monitoring. Recent advancements in IR spectroscopy, such as Fourier-transform infrared (FTIR) spectroscopy and attenuated total reflectance (ATR) spectroscopy, have further enhanced its utility in salivary analysis. FTIR spectroscopy enables the collection of a complete IR spectrum of the sample, whereas ATR spectroscopy enables the analysis of samples in their native form, without the need for sample preparation. With the development of standardized protocols for sample collection and analysis and further advancements in IR spectroscopy, the potential for salivary diagnostics using IR spectroscopy is vast.
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Affiliation(s)
- Charlotte Delrue
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Sander De Bruyne
- Department of Clinical Biology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Marijn M Speeckaert
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium
- Research Foundation-Flanders (FWO), 1000 Brussels, Belgium
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7
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Zhu J, Zhao X, Mao J, Na N, Ouyang J. Single-Molecule Evaluation of the SARS-CoV-2 Nucleocapsid Protein Using Gold Particle-in-a-Frame Nanostructures Enhanced Fluorescent Assay. Anal Chem 2023; 95:5267-5274. [PMID: 36912606 PMCID: PMC10022750 DOI: 10.1021/acs.analchem.2c05191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 03/01/2023] [Indexed: 03/14/2023]
Abstract
Ultrasensitive evaluation of low-abundance analytes, particularly with limits approaching a single molecule, is a key challenge in the design of an assay for profiling severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigen. Herein, we report an aptamer claw strategy for directly evaluating the SARS-CoV-2 antigen based on gold particle-in-a-frame nanostructures (Au PIAFs). Au PIAF was used as a metal-enhanced fluorescence material. The assay integrated with a microplate reader achieved a sensitivity of 44 fg·mL-1 in under 3 min and accurately detected the SARS-CoV-2 nucleocapsid protein (N protein) in human saliva samples. When our assay is combined with a single-molecule counting platform, the limit of detection can be as low as 0.84 ag·mL-1. This rapid and ultrasensitive assay holds promise as a tool for screening SARS-CoV-2 and other contagious viruses.
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Affiliation(s)
- Jiale Zhu
- Key Laboratory of Theoretical and Computational
Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal
University, Beijing 100875, China
| | - Xuan Zhao
- Key Laboratory of Theoretical and Computational
Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal
University, Beijing 100875, China
| | - Jinpeng Mao
- Department of Chemistry, Tsinghua
University, Beijing 100084, China
| | - Na Na
- Key Laboratory of Theoretical and Computational
Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal
University, Beijing 100875, China
| | - Jin Ouyang
- Key Laboratory of Theoretical and Computational
Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal
University, Beijing 100875, China
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8
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Campanella B, Legnaioli S, Onor M, Benedetti E, Bramanti E. The Role of the Preanalytical Step for Human Saliva Analysis via Vibrational Spectroscopy. Metabolites 2023; 13:metabo13030393. [PMID: 36984834 PMCID: PMC10055013 DOI: 10.3390/metabo13030393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 02/27/2023] [Accepted: 03/06/2023] [Indexed: 03/10/2023] Open
Abstract
Saliva is an easily sampled matrix containing a variety of biochemical information, which can be correlated with the individual health status. The fast, straightforward analysis of saliva by vibrational (ATR-FTIR and Raman) spectroscopy is a good premise for large-scale preclinical studies to aid translation into clinics. In this work, the effects of saliva collection (spitting/swab) and processing (two different deproteinization procedures) were explored by principal component analysis (PCA) of ATR-FTIR and Raman data and by investigating the effects on the main saliva metabolites by reversed-phase chromatography (RPC-HPLC-DAD). Our results show that, depending on the bioanalytical information needed, special care must be taken when saliva is collected with swabs because the polymeric material significantly interacts with some saliva components. Moreover, the analysis of saliva before and after deproteinization by FTIR and Raman spectroscopy allows to obtain complementary biological information.
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Affiliation(s)
- Beatrice Campanella
- Institute of Chemistry of Organometallic Compounds (ICCOM), Consiglio Nazionale delle Ricerche(CNR), 56124 Pisa, Italy
| | - Stefano Legnaioli
- Institute of Chemistry of Organometallic Compounds (ICCOM), Consiglio Nazionale delle Ricerche(CNR), 56124 Pisa, Italy
| | - Massimo Onor
- Institute of Chemistry of Organometallic Compounds (ICCOM), Consiglio Nazionale delle Ricerche(CNR), 56124 Pisa, Italy
| | - Edoardo Benedetti
- Hematology Unit of Azienda Ospedaliero Universitaria Pisana (AOUP), 56100 Pisa, Italy
| | - Emilia Bramanti
- Institute of Chemistry of Organometallic Compounds (ICCOM), Consiglio Nazionale delle Ricerche(CNR), 56124 Pisa, Italy
- Correspondence: ; Tel.: +39-050-315-2293
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9
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Zhao B, Zhai H, Shao H, Bi K, Zhu L. Potential of vibrational spectroscopy coupled with machine learning as a non-invasive diagnostic method for COVID-19. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2023; 229:107295. [PMID: 36706562 PMCID: PMC9711896 DOI: 10.1016/j.cmpb.2022.107295] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/10/2022] [Accepted: 11/29/2022] [Indexed: 06/18/2023]
Abstract
BACKGROUND AND OBJECTIVE Efforts to alleviate the ongoing coronavirus disease 2019 (COVID-19) crisis showed that rapid, sensitive, and large-scale screening is critical for controlling the current infection and that of ongoing pandemics. METHODS Here, we explored the potential of vibrational spectroscopy coupled with machine learning to screen COVID-19 patients in its initial stage. Herein presented is a hybrid classification model called grey wolf optimized support vector machine (GWO-SVM). The proposed model was tested and comprehensively compared with other machine learning models via vibrational spectroscopic fingerprinting including saliva FTIR spectra dataset and serum Raman scattering spectra dataset. RESULTS For the unknown vibrational spectra, the presented GWO-SVM model provided an accuracy, specificity and F1_score value of 0.9825, 0.9714 and 0.9778 for saliva FTIR spectra dataset, respectively, while an overall accuracy, specificity and F1_score value of 0.9085, 0.9552 and 0.9036 for serum Raman scattering spectra dataset, respectively, which showed superiority than those of state-of-the-art models, thereby suggesting the suitability of the GWO-SVM model to be adopted in a clinical setting for initial screening of COVID-19 patients. CONCLUSIONS Prospectively, the presented vibrational spectroscopy based GWO-SVM model can facilitate in screening of COVID-19 patients and alleviate the medical service burden. Therefore, herein proof-of-concept results showed the chance of vibrational spectroscopy coupled with GWO-SVM model to help COVID-19 diagnosis and have the potential be further used for early screening of other infectious diseases.
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Affiliation(s)
- Bingqiang Zhao
- College of Chemistry & Chemical Engineering, Lanzhou University; South Tianshui Road 222, Lanzhou, Gansu 730000, PR China
| | - Honglin Zhai
- College of Chemistry & Chemical Engineering, Lanzhou University; South Tianshui Road 222, Lanzhou, Gansu 730000, PR China.
| | - Haiping Shao
- College of Chemistry & Chemical Engineering, Lanzhou University; South Tianshui Road 222, Lanzhou, Gansu 730000, PR China
| | - Kexin Bi
- College of Chemistry & Chemical Engineering, Lanzhou University; South Tianshui Road 222, Lanzhou, Gansu 730000, PR China
| | - Ling Zhu
- College of Chemistry & Chemical Engineering, Lanzhou University; South Tianshui Road 222, Lanzhou, Gansu 730000, PR China
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10
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Huang Z, Yang X, Huang Y, Tang Z, Chen Y, Liu H, Huang M, Qing L, Li L, Wang Q, Jie Z, Jin X, Jia B. Saliva - a new opportunity for fluid biopsy. Clin Chem Lab Med 2023; 61:4-32. [PMID: 36285724 DOI: 10.1515/cclm-2022-0793] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 09/29/2022] [Indexed: 12/15/2022]
Abstract
Saliva is a complex biological fluid with a variety of biomolecules, such as DNA, RNA, proteins, metabolites and microbiota, which can be used for the screening and diagnosis of many diseases. In addition, saliva has the characteristics of simple collection, non-invasive and convenient storage, which gives it the potential to replace blood as a new main body of fluid biopsy, and it is an excellent biological diagnostic fluid. This review integrates recent studies and summarizes the research contents of salivaomics and the research progress of saliva in early diagnosis of oral and systemic diseases. This review aims to explore the value and prospect of saliva diagnosis in clinical application.
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Affiliation(s)
- Zhijie Huang
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Xiaoxia Yang
- Department of Endodontics, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Yisheng Huang
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Zhengming Tang
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Yuanxin Chen
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Hongyu Liu
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Mingshu Huang
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Ling Qing
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Li Li
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Qin Wang
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Zhuye Jie
- BGI Genomics, BGI-Shenzhen, Shenzhen, P.R. China
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen, P.R. China
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Xin Jin
- BGI Genomics, BGI-Shenzhen, Shenzhen, P.R. China
- School of Medicine, South China University of Technology, Guangzhou, P.R. China
| | - Bo Jia
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
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11
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Li Y, Qiao J, Han X, Zhao Z, Kou J, Zhang W, Man S, Ma L. Needs, Challenges and Countermeasures of SARS-CoV-2 Surveillance in Cold-Chain Foods and Packaging to Prevent Possible COVID-19 Resurgence: A Perspective from Advanced Detections. Viruses 2022; 15:120. [PMID: 36680157 PMCID: PMC9864631 DOI: 10.3390/v15010120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/22/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
The pandemic caused by SARS-CoV-2 has a huge impact on the global economy. SARS-CoV-2 could possibly and potentially be transmitted to humans through cold-chain foods and packaging (namely good-to-human), although it mainly depends on a human-to-human route. It is imperative to develop countermeasures to cope with the spread of viruses and fulfil effective surveillance of cold-chain foods and packaging. This review outlined SARS-CoV-2-related cold-chain food incidents and current methods for detecting SARS-CoV-2. Then the needs, challenges and practicable countermeasures for SARS-CoV-2 detection, specifically for cold-chain foods and packaging, were underlined. In fact, currently established detection methods for SARS-CoV-2 are mostly used for humans; thus, these may not be ideally applied to cold-chain foods directly. Therefore, it creates a need to develop novel methods and low-cost, automatic, mini-sized devices specifically for cold-chain foods and packaging. The review intended to draw people's attention to the possible spread of SARS-CoV-2 with cold-chain foods and proposed perspectives for futuristic cold-chain foods monitoring during the pandemic.
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Affiliation(s)
- Yaru Li
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Jiali Qiao
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Xiao Han
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Zhiying Zhao
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Jun Kou
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Wenlu Zhang
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Shuli Man
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Long Ma
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
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12
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Pushpa S, Sukumaran RK, Savithri S. Robustness of FTIR-Based Ultrarapid COVID-19 Diagnosis Using PLS-DA. ACS OMEGA 2022; 7:47357-47371. [PMID: 36570187 PMCID: PMC9773962 DOI: 10.1021/acsomega.2c06786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
The World Health Organization (WHO) declared the Omicron variant (B.1.1.529) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the pathogen responsible for the Coronavirus disease 2019 (COVID-19) pandemic, as a variant of concern on 26 November 2021. By this time, 42% of the world's population had received at least one dose of the vaccine against COVID-19. As on 1 October 2022, only 68% of the world population got the first dose of the vaccine. Although the vaccination is incredibly protective against severe complications of the disease and death, the highly contagious Omicron variant, compared to the Delta variant (B.1.617.2), has led the whole world into more chaotic situations. Furthermore, the virus has a high mutation rate, and hence, the possibility of a new variant of concern in the future cannot be ruled out. To face such a challenging situation, paramount importance should be given to rapid diagnosis and isolation of the infected patient. Current diagnosis methods, including reverse transcription-polymerase chain reaction and rapid antigen tests, face significant burdens during a COVID-19 wave. However, studies reported ultrarapid, reagent-free, cost-efficient, and non-destructive diagnosis methods based on chemometrics for COVID-19 and COVID-19 severity diagnosis. These studies used a smaller sample cohort to construct the diagnosis model and failed to discuss the robustness of the model. The current study systematically evaluated the robustness of the diagnosis models trained using smaller (real and augmented spectra) and larger (augmented spectra) datasets. The Monte Carlo cross-validation and permutation test results suggest that diagnosis using models trained by larger datasets was accurate and statistically significant (Q 2 > 99% and AUROC = 100%).
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Affiliation(s)
- Sreejith
Remanan Pushpa
- Material
Science and Technology Division, CSIR-National
Institute for Interdisciplinary Science and Technology, Industrial Estate P.O., Thiruvananthapuram695019, Kerala, India
- Academy
of Scientific and Innovative Research (AcSIR), Ghaziabad201002, India
| | - Rajeev Kumar Sukumaran
- Microbial
Processes and Technology Division, CSIR-National
Institute for Interdisciplinary Science and Technology, Industrial Estate P.O., Thiruvananthapuram695019, Kerala, India
- Academy
of Scientific and Innovative Research (AcSIR), Ghaziabad201002, India
| | - Sivaraman Savithri
- Material
Science and Technology Division, CSIR-National
Institute for Interdisciplinary Science and Technology, Industrial Estate P.O., Thiruvananthapuram695019, Kerala, India
- Academy
of Scientific and Innovative Research (AcSIR), Ghaziabad201002, India
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13
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Contributions of vibrational spectroscopy to virology: A review. CLINICAL SPECTROSCOPY 2022; 4:100022. [PMCID: PMC9093054 DOI: 10.1016/j.clispe.2022.100022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/30/2022] [Accepted: 05/04/2022] [Indexed: 06/17/2023]
Abstract
Vibrational spectroscopic techniques, both infrared absorption and Raman scattering, are high precision, label free analytical techniques which have found applications in fields as diverse as analytical chemistry, pharmacology, forensics and archeometrics and, in recent times, have attracted increasing attention for biomedical applications. As analytical techniques, they have been applied to the characterisation of viruses as early as the 1970 s, and, in the context of the coronavirus disease 2019 (COVID-19) pandemic, have been explored in response to the World Health Organisation as novel methodologies to aid in the global efforts to implement and improve rapid screening of viral infection. This review considers the history of the application of vibrational spectroscopic techniques to the characterisation of the morphology and chemical compositions of viruses, their attachment to, uptake by and replication in cells, and their potential for the detection of viruses in population screening, and in infection response monitoring applications. Particular consideration is devoted to recent efforts in the detection of severe acute respiratory syndrome coronavirus 2, and monitoring COVID-19.
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14
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Diagnostic performance of attenuated total reflection Fourier-transform infrared spectroscopy for detecting COVID-19 from routine nasopharyngeal swab samples. Sci Rep 2022; 12:20358. [PMID: 36437268 PMCID: PMC9701801 DOI: 10.1038/s41598-022-24751-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 11/21/2022] [Indexed: 11/28/2022] Open
Abstract
Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy coupled with machine learning-based partial least squares discriminant analysis (PLS-DA) was applied to study if severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could be detected from nasopharyngeal swab samples originally collected for polymerase chain reaction (PCR) analysis. Our retrospective study included 558 positive and 558 negative samples collected from Northern Finland. Overall, we found moderate diagnostic performance for ATR-FTIR when PCR analysis was used as the gold standard: the average area under the receiver operating characteristics curve (AUROC) was 0.67-0.68 (min. 0.65, max. 0.69) with 20, 10 and 5 k-fold cross validations. Mean accuracy, sensitivity and specificity was 0.62-0.63 (min. 0.60, max. 0.65), 0.61 (min. 0.58, max. 0.65) and 0.64 (min. 0.59, max. 0.67) with 20, 10 and 5 k-fold cross validations. As a conclusion, our study with relatively large sample set clearly indicate that measured ATR-FTIR spectrum contains specific information for SARS-CoV-2 infection (P < 0.001 for AUROC in label permutation test). However, the diagnostic performance of ATR-FTIR remained only moderate, potentially due to low concentration of viral particles in the transport medium. Further studies are needed before ATR-FTIR can be recommended for fast screening of SARS-CoV-2 from nasopharyngeal swab samples.
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15
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Zhang D, Guo Y, Zhang L, Wang Y, Peng S, Duan S, Geng L, Zhang X, Wang W, Yang M, Wu G, Chen J, Feng Z, Wang X, Wu Y, Jiang H, Zhang Q, Sun J, Li S, He Y, Xiao M, Xu Y, Wang H, Liu P, Zhou Q, Luo H. Integrated System for On-Site Rapid and Safe Screening of COVID-19. Anal Chem 2022; 94:13810-13819. [PMID: 36184789 PMCID: PMC9578365 DOI: 10.1021/acs.analchem.2c02337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/22/2022] [Indexed: 12/04/2022]
Abstract
Since the outbreak of coronavirus disease 2019 (COVID-19), the epidemic has been spreading around the world for more than 2 years. Rapid, safe, and on-site detection methods of COVID-19 are in urgent demand for the control of the epidemic. Here, we established an integrated system, which incorporates a machine-learning-based Fourier transform infrared spectroscopy technique for rapid COVID-19 screening and air-plasma-based disinfection modules to prevent potential secondary infections. A partial least-squares discrimination analysis and a convolutional neural network model were built using the collected infrared spectral dataset containing 857 training serum samples. Furthermore, the sensitivity, specificity, and prediction accuracy could all reach over 94% from the results of the field test regarding 968 blind testing samples. Additionally, the disinfection modules achieved an inactivation efficiency of 99.9% for surface and airborne tested bacteria. The proposed system is conducive and promising for point-of-care and on-site COVID-19 screening in the mass population.
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Affiliation(s)
- Dongheyu Zhang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Yuntao Guo
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Liyang Zhang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Yao Wang
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | - Siqi Peng
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Simeng Duan
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | - Lin Geng
- JINSP
Co., Ltd., Beijing100083, China
| | | | - Wei Wang
- Shanghai
Customs Port Clinic, Shanghai International
Travel Healthcare Center, Shanghai200335, China
| | - Mengjie Yang
- Chinese
Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing102206, China
| | - Guizhen Wu
- Chinese
Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing102206, China
| | - Jiayi Chen
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Zihao Feng
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Xinyuan Wang
- Holy-shine
Technology Co., Ltd., Beijing100045, China
| | - Yue Wu
- Holy-shine
Technology Co., Ltd., Beijing100045, China
| | - Haotian Jiang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Qikang Zhang
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Jingjun Sun
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
| | - Shenwei Li
- Shanghai
Customs Port Clinic, Shanghai International
Travel Healthcare Center, Shanghai200335, China
| | - Yuping He
- Shanghai
Customs Port Clinic, Shanghai International
Travel Healthcare Center, Shanghai200335, China
| | - Meng Xiao
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | - Yingchun Xu
- Department
of Clinical Laboratory, Peking Union Medical
College Hospital, Chinese Academy of Medical Sciences, Beijing100730, China
| | | | - Peipei Liu
- Chinese
Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing102206, China
| | - Qun Zhou
- Department
of Chemistry, Tsinghua University, Beijing100084, China
| | - Haiyun Luo
- Department
of Electrical Engineering, Tsinghua University, Beijing100084, China
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16
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Kistenev YV, Das A, Mazumder N, Cherkasova OP, Knyazkova AI, Shkurinov AP, Tuchin VV, Lednev IK. Label-free laser spectroscopy for respiratory virus detection: A review. JOURNAL OF BIOPHOTONICS 2022; 15:e202200100. [PMID: 35866572 DOI: 10.1002/jbio.202200100] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/20/2022] [Accepted: 07/05/2022] [Indexed: 06/15/2023]
Abstract
Infectious diseases are among the most severe threats to modern society. Current methods of virus infection detection based on genome tests need reagents and specialized laboratories. The desired characteristics of new virus detection methods are noninvasiveness, simplicity of implementation, real-time, low cost and label-free detection. There are two groups of methods for molecular biomarkers' detection and analysis: (i) a sample physical separation into individual molecular components and their identification, and (ii) sample content analysis by laser spectroscopy. Variations in the spectral data are typically minor. It requires the use of sophisticated analytical methods like machine learning. This review examines the current technological level of laser spectroscopy and machine learning methods in applications for virus infection detection.
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Affiliation(s)
- Yury V Kistenev
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | - Anubhab Das
- Department of Microbiology, Ramakrishna Mission Vivekananda Centenary College, Kolkata, India
| | - Nirmal Mazumder
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India
| | - Olga P Cherkasova
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
- Institute of Laser Physics, Siberian Branch of the RAS, Novosibirsk, Russia
| | - Anastasia I Knyazkova
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | - Alexander P Shkurinov
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
- Institute on Laser and Information Technologies, Branch of the Federal Scientific Research Centre "Crystallography and Photonics" of RAS, Shatura, Russia
- Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia
| | - Valery V Tuchin
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
- Science Medical Center, Saratov State University, Saratov, Russia
- Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control of the RAS, Saratov, Russia
| | - Igor K Lednev
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
- Department of Chemistry, University at Albany, SUNY, Albany, NY, USA
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17
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Transflection infrared spectroscopy as a rapid screening tool for urinary 8-isoprostane. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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18
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Calvo-Gomez O, Calvo H, Cedillo-Barrón L, Vivanco-Cid H, Alvarado-Orozco JM, Fernandez-Benavides DA, Arriaga-Pizano L, Ferat-Osorio E, Anda-Garay JC, López-Macias C, López MG. Potential of ATR-FTIR-Chemometrics in Covid-19: Disease Recognition. ACS OMEGA 2022; 7:30756-30767. [PMID: 36092630 PMCID: PMC9453986 DOI: 10.1021/acsomega.2c01374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The COVID-19 pandemic has caused major disturbances to human health and economy on a global scale. Although vaccination campaigns and important advances in treatments have been developed, an early diagnosis is still crucial. While PCR is the golden standard for diagnosing SARS-CoV-2 infection, rapid and low-cost techniques such as ATR-FTIR followed by multivariate analyses, where dimensions are reduced for obtaining valuable information from highly complex data sets, have been investigated. Most dimensionality reduction techniques attempt to discriminate and create new combinations of attributes prior to the classification stage; thus, the user needs to optimize a wealth of parameters before reaching reliable and valid outcomes. In this work, we developed a method for evaluating SARS-CoV-2 infection and COVID-19 disease severity on infrared spectra of sera, based on a rather simple feature selection technique (correlation-based feature subset selection). Dengue infection was also evaluated for assessing whether selectivity toward a different virus was possible with the same algorithm, although independent models were built for both viruses. High sensitivity (94.55%) and high specificity (98.44%) were obtained for assessing SARS-CoV-2 infection with our model; for severe COVID-19 disease classification, sensitivity is 70.97% and specificity is 94.95%; for mild disease classification, sensitivity is 33.33% and specificity is 94.64%; and for dengue infection assessment, sensitivity is 84.27% and specificity is 94.64%.
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Affiliation(s)
- Octavio Calvo-Gomez
- Centro
de Investigación y de Estudios Avanzados del IPN, Km. 9.6 Libramiento Norte Carretera
Irapuato León, 36824 Irapuato, Guanajuato, Mexico
| | - Hiram Calvo
- Center
for Computing Research, Instituto Politécnico
Nacional, 07738 Mexico City, Mexico
| | - Leticia Cedillo-Barrón
- Centro
de Investigación y de Estudios Avanzados del IPN. Avenida IPN #2508, Col. San Pedro
Zacatenco, CP 07360 Mexico, Distrito Federal, Mexico
| | - Héctor Vivanco-Cid
- Laboratorio
Multidisciplinario en Ciencias Biomédicas, Instituto de Investigaciones
Médico-Biológicas, Universidad
Veracruzana, 91000Veracruz, Mexico
| | - Juan Manuel Alvarado-Orozco
- Centro
de Ingeniería y Desarrollo Industrial, Avenida Playa Pie de la Cuesta No.
702, Desarrollo San Pablo, 76125 Santiago de Querétaro, Mexico
| | - David Andrés Fernandez-Benavides
- Centro
de Ingeniería y Desarrollo Industrial, Avenida Playa Pie de la Cuesta No.
702, Desarrollo San Pablo, 76125 Santiago de Querétaro, Mexico
| | - Lourdes Arriaga-Pizano
- Unidad
de
Investigación Médica en Inmunoquímica, UMAE,
Hospital de Especialidades del Centro Médico Nacional Siglo
XXI. Instituto Mexicano del Seguro Social
(IMSS), 06600 Mexico City, Mexico
| | - Eduardo Ferat-Osorio
- Unidad
de
Investigación Médica en Inmunoquímica, UMAE,
Hospital de Especialidades del Centro Médico Nacional Siglo
XXI. Instituto Mexicano del Seguro Social
(IMSS), 06600 Mexico City, Mexico
| | - Juan Carlos Anda-Garay
- Unidad
de
Investigación Médica en Inmunoquímica, UMAE,
Hospital de Especialidades del Centro Médico Nacional Siglo
XXI. Instituto Mexicano del Seguro Social
(IMSS), 06600 Mexico City, Mexico
| | - Constantino López-Macias
- Unidad
de
Investigación Médica en Inmunoquímica, UMAE,
Hospital de Especialidades del Centro Médico Nacional Siglo
XXI. Instituto Mexicano del Seguro Social
(IMSS), 06600 Mexico City, Mexico
| | - Mercedes G. López
- Centro
de Investigación y de Estudios Avanzados del IPN, Km. 9.6 Libramiento Norte Carretera
Irapuato León, 36824 Irapuato, Guanajuato, Mexico
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19
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Rumaling MI, Chee FP, Bade A, Hasbi NH, Daim S, Juhim F, Duinong M, Rasmidi R. Methods of optical spectroscopy in detection of virus in infected samples: A review. Heliyon 2022; 8:e10472. [PMID: 36060463 PMCID: PMC9422564 DOI: 10.1016/j.heliyon.2022.e10472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/05/2022] [Accepted: 08/23/2022] [Indexed: 01/08/2023] Open
Affiliation(s)
- Muhammad Izzuddin Rumaling
- Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
| | - Fuei Pien Chee
- Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
- Corresponding author.
| | - Abdullah Bade
- Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
| | - Nur Hasshima Hasbi
- Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
| | - Sylvia Daim
- Faculty of Medicine and Health Science, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
| | - Floressy Juhim
- Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
| | - Mivolil Duinong
- Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
| | - Rosfayanti Rasmidi
- Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
- Faculty of Applied Sciences, Universiti Teknologi MARA Sabah Branch, Kota Kinabalu Campus, 88997 Kota Kinabalu, Sabah, Malaysia
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20
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Bunaciu AA, Aboul-Enein HY. DETERMINATION OF COVID-19 VIRUSES IN SALIVA USING FOURIER TRANSFORM INFRARED SPECTROSCOPY. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 2022. [PMCID: PMC9519369 DOI: 10.1016/j.cjac.2022.100178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The rapid spread of severe syndrome coronavirus 2 (SARS-CoV-2) has led to the coronavirus disease 2019 (COVID-19) worldwide pandemic. Scientists and researchers all over the world studied different methods in order to accelerate the testing results. In this review, we present some of the most important papers related to the determination of COVID – 19 in saliva using the Fourier Transform Infrared Spectroscopy technique.
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21
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Tobik ER, Kitfield-Vernon LB, Thomas RJ, Steel SA, Tan SH, Allicock OM, Choate BL, Akbarzada S, Wyllie AL. Saliva as a sample type for SARS-CoV-2 detection: implementation successes and opportunities around the globe. Expert Rev Mol Diagn 2022; 22:519-535. [PMID: 35763281 DOI: 10.1080/14737159.2022.2094250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Symptomatic testing and asymptomatic screening for SARS-CoV-2 continue to be essential tools for mitigating virus transmission. Though COVID-19 diagnostics initially defaulted to oropharyngeal or nasopharyngeal sampling, the worldwide urgency to expand testing efforts spurred innovative approaches and increased diversity of detection methods. Strengthening innovation and facilitating widespread testing remains critical for global health, especially as additional variants emerge and other mitigation strategies are recalibrated. AREAS COVERED A growing body of evidence reflects the need to expand testing efforts and further investigate the efficiency, sensitivity, and acceptability of saliva samples for SARS-CoV-2 detection. Countries have made pandemic response decisions based on resources, costs, procedures, and regional acceptability - the adoption and integration of saliva-based testing among them. Saliva has demonstrated high sensitivity and specificity while being less invasive relative to nasopharyngeal swabs, securing saliva's position as a more acceptable sample type. EXPERT OPINION Despite the accessibility and utility of saliva sampling, global implementation remains low compared to swab-based approaches. In some cases, countries have validated saliva-based methods but face challenges with testing implementation or expansion. Here, we review the localities that have demonstrated success with saliva-based SARS-CoV-2 testing approaches and can serve as models for transforming concepts into globally-implemented best practices.
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Affiliation(s)
- Emily R Tobik
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Lily B Kitfield-Vernon
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Russell J Thomas
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Sydney A Steel
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Steph H Tan
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.,Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, USA
| | - Orchid M Allicock
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Brittany L Choate
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Sumaira Akbarzada
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Anne L Wyllie
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
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22
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Bandeira CCS, Madureira KCR, Rossi MB, Gallo JF, da Silva APMA, Torres VL, de Lima VA, Júnior NK, Almeida JD, Zerbinati RM, Braz-Silva PH, Lindoso JAL, da Silva Martinho H. Micro-Fourier-transform infrared reflectance spectroscopy as tool for probing IgG glycosylation in COVID-19 patients. Sci Rep 2022; 12:4269. [PMID: 35277543 PMCID: PMC8914452 DOI: 10.1038/s41598-022-08156-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 02/23/2022] [Indexed: 12/13/2022] Open
Abstract
It has been reported that patients diagnosed with COVID-19 become critically ill primarily around the time of activation of the adaptive immune response. However the role of antibodies in the worsening of disease is not obvious. Higher titers of anti-spike immunoglobulin IgG1 associated with low fucosylation of the antibody Fc tail have been associated to excessive inflammatory response. In contrast it has been also reported that NP-, S-, RBD- specific IgA, IgG, and IgM are not associated with SARS-CoV-2 viral load, indicating that there is no obvious correlation between antibody response and viral antigen detection. In the present work the micro-Fourier-transform infrared reflectance spectroscopy (micro-FTIR) was employed to investigate blood serum samples of healthy and COVID-19-ill (mild or oligosymptomatic) individuals (82 healthcare workers volunteers in “Instituto de Infectologia Emilio Ribas”, São Paulo, Brazil). The molecular-level-sensitive, multiplexing quantitative and qualitative FTIR data probed on 1 µL of dried biofluid was compared to signal-to-cutoff index of chemiluminescent immunoassays CLIA and ELISA (IgG antibodies against SARS-CoV-2). Our main result indicated that 1702–1785 \documentclass[12pt]{minimal}
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\begin{document}$$\hbox {cm}^{-1}$$\end{document}cm-1 spectral window (carbonyl C=O vibration) is a spectral marker of the degree of IgG glycosylation, allowing to probe distinctive sub-populations of COVID-19 patients, depending on their degree of severity. The specificity was 87.5 % while the detection rate of true positive was 100%. The computed area under the receiver operating curve was equivalent to CLIA, ELISA and other ATR-FTIR methods (\documentclass[12pt]{minimal}
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\begin{document}$$>0.85$$\end{document}>0.85). In summary, overall discrimination of healthy and COVID-19 individuals and severity prediction as well could be potentially implemented using micro-FTIR reflectance spectroscopy on blood serum samples. Considering the minimal and reagent-free sample preparation procedures combined to fast (few minutes) outcome of FTIR we can state that this technology is suitable for fast screening of immune response of individuals with COVID-19. It would be an important tool in prospective studies, helping investigate the physiology of the asymptomatic, oligosymptomatic, or severe individuals and measure the extension of infection dissemination in patients.
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Affiliation(s)
| | | | - Meire Bocoli Rossi
- Instituto de Infectologia Emilio Ribas, São Paulo, Sp, 01246-900, Brazil
| | | | | | | | - Vinicius Alves de Lima
- Instituto de Medicina Tropical de São Paulo, Universidade de São Paulo, São Paulo, SP, 05403-000, Brazil
| | - Norival Kesper Júnior
- Instituto de Medicina Tropical de São Paulo, Universidade de São Paulo, São Paulo, SP, 05403-000, Brazil
| | - Janete Dias Almeida
- Departamento de Biociências e Diagnêstico, Instituto de Ciência e Tecnologia, Universidade Estadual Paulista, São José dos Campos, SP, 12245-000, Brazil
| | - Rodrigo Melim Zerbinati
- Instituto de Medicina Tropical de São Paulo, Universidade de São Paulo, São Paulo, SP, 05403-000, Brazil
| | - Paulo Henrique Braz-Silva
- Instituto de Medicina Tropical de São Paulo, Universidade de São Paulo, São Paulo, SP, 05403-000, Brazil.,Faculdade de Odontologia Departamento de Estomatologia, Universidade de São Paulo, São Paulo, SP, 05508-000, Brazil
| | - José Angelo Lauletta Lindoso
- Instituto de Infectologia Emilio Ribas, São Paulo, Sp, 01246-900, Brazil.,Instituto de Medicina Tropical de São Paulo, Universidade de São Paulo, São Paulo, SP, 05403-000, Brazil.,Departamento de Moléstias Infecciosas e Parasitárias, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, 01255-090, Brazil
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23
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Schorer V, Haas J, Stach R, Kokoric V, Groß R, Muench J, Hummel T, Sobek H, Mennig J, Mizaikoff B. Towards the direct detection of viral materials at the surface of protective face masks via infrared spectroscopy. Sci Rep 2022; 12:2309. [PMID: 35145194 PMCID: PMC8831636 DOI: 10.1038/s41598-022-06335-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 01/21/2022] [Indexed: 11/29/2022] Open
Abstract
The ongoing COVID-19 pandemic represents a considerable risk for the general public and especially for health care workers. To avoid an overloading of the health care system and to control transmission chains, the development of rapid and cost-effective techniques allowing for the reliable diagnosis of individuals with acute respiratory infections are crucial. Uniquely, the present study focuses on the development of a direct face mask sampling approach, as worn (i.e., used) disposable face masks contain exogenous environmental constituents, as well as endogenously exhaled breath aerosols. Optical techniques—and specifically infrared (IR) molecular spectroscopic techniques—are promising tools for direct virus detection at the surface of such masks. In the present study, a rapid and non-destructive approach for monitoring exposure scenarios via medical face masks using attenuated total reflection infrared spectroscopy is presented. Complementarily, IR external reflection spectroscopy was evaluated in comparison for rapid mask analysis. The utility of a face mask-based sampling approach was demonstrated by differentiating water, proteins, and virus-like particles sampled onto the mask. Data analysis using multivariate statistical algorithms enabled unambiguously classifying spectral signatures of individual components and biospecies. This approach has the potential to be extended towards the rapid detection of SARS-CoV-2—as shown herein for the example of virus-like particles which are morphologically equivalent to authentic virus—without any additional sample preparation or elaborate testing equipment at laboratory facilities. Therefore, this strategy may be implemented as a routine large-scale monitoring routine, e.g., at health care institutions, nursing homes, etc. ensuring the health and safety of medical personnel.
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Affiliation(s)
- Vanessa Schorer
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany
| | - Julian Haas
- Hahn-Schickard, Sedanstraße 14, 89077, Ulm, Germany
| | - Robert Stach
- Hahn-Schickard, Sedanstraße 14, 89077, Ulm, Germany
| | | | - Rüdiger Groß
- Institute of Molecular Virology, Ulm University Medical Center, Meyerhofstr. 1, 89081, Ulm, Germany
| | - Jan Muench
- Institute of Molecular Virology, Ulm University Medical Center, Meyerhofstr. 1, 89081, Ulm, Germany
| | - Tim Hummel
- Labor Dr. Merk & Kollegen GmbH, Beim Braunland 1, 88416, Ochsenhausen, Germany.,Boehringer Ingelheim Therapeutics GmbH, Beim Braunland 1, 88416, Ochsenhausen, Germany
| | - Harald Sobek
- Labor Dr. Merk & Kollegen GmbH, Beim Braunland 1, 88416, Ochsenhausen, Germany
| | - Jan Mennig
- Labor Dr. Merk & Kollegen GmbH, Beim Braunland 1, 88416, Ochsenhausen, Germany
| | - Boris Mizaikoff
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany. .,Hahn-Schickard, Sedanstraße 14, 89077, Ulm, Germany.
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24
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Nascimento MC, Marcarini WD, Folli GS, da Silva Filho WG, Barbosa LL, Paulo EH, Vassallo PF, Mill JG, Barauna V, Martin FL, de Castro ER, Romão W, Filgueiras PR. Noninvasive Diagnostic for COVID-19 from Saliva Biofluid via FTIR Spectroscopy and Multivariate Analysis. Anal Chem 2022; 94:2425-2433. [PMID: 35076208 PMCID: PMC8805707 DOI: 10.1021/acs.analchem.1c04162] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 01/13/2022] [Indexed: 01/22/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the worst global health crisis in living memory. The reverse transcription polymerase chain reaction (RT-qPCR) is considered the gold standard diagnostic method, but it exhibits limitations in the face of enormous demands. We evaluated a mid-infrared (MIR) data set of 237 saliva samples obtained from symptomatic patients (138 COVID-19 infections diagnosed via RT-qPCR). MIR spectra were evaluated via unsupervised random forest (URF) and classification models. Linear discriminant analysis (LDA) was applied following the genetic algorithm (GA-LDA), successive projection algorithm (SPA-LDA), partial least squares (PLS-DA), and a combination of dimension reduction and variable selection methods by particle swarm optimization (PSO-PLS-DA). Additionally, a consensus class was used. URF models can identify structures even in highly complex data. Individual models performed well, but the consensus class improved the validation performance to 85% accuracy, 93% sensitivity, 83% specificity, and a Matthew's correlation coefficient value of 0.69, with information at different spectral regions. Therefore, through this unsupervised and supervised framework methodology, it is possible to better highlight the spectral regions associated with positive samples, including lipid (∼1700 cm-1), protein (∼1400 cm-1), and nucleic acid (∼1200-950 cm-1) regions. This methodology presents an important tool for a fast, noninvasive diagnostic technique, reducing costs and allowing for risk reduction strategies.
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Affiliation(s)
- Márcia
H. C. Nascimento
- Chemometrics
Laboratory of the Center of Competence in Petroleum Chemistry −
NCQP, Universidade Federal do Espírito
Santo (UFES), Vitória, Espírito Santo 29075-910, Brazil
| | - Wena D. Marcarini
- Department
of Physiological Sciences, Universidade
Federal do Espírito Santo (UFES), Vitória, Espírito Santo 29040-090, Brazil
| | - Gabriely S. Folli
- Chemometrics
Laboratory of the Center of Competence in Petroleum Chemistry −
NCQP, Universidade Federal do Espírito
Santo (UFES), Vitória, Espírito Santo 29075-910, Brazil
| | - Walter G. da Silva Filho
- Department
of Physiological Sciences, Universidade
Federal do Espírito Santo (UFES), Vitória, Espírito Santo 29040-090, Brazil
| | - Leonardo L. Barbosa
- Department
of Physiological Sciences, Universidade
Federal do Espírito Santo (UFES), Vitória, Espírito Santo 29040-090, Brazil
| | - Ellisson Henrique
de Paulo
- Chemometrics
Laboratory of the Center of Competence in Petroleum Chemistry −
NCQP, Universidade Federal do Espírito
Santo (UFES), Vitória, Espírito Santo 29075-910, Brazil
| | - Paula F. Vassallo
- Clinical
Hospital, Universidade Federal de Minas
Gerais, Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - José G. Mill
- Department
of Physiological Sciences, Universidade
Federal do Espírito Santo (UFES), Vitória, Espírito Santo 29040-090, Brazil
| | - Valério
G. Barauna
- Department
of Physiological Sciences, Universidade
Federal do Espírito Santo (UFES), Vitória, Espírito Santo 29040-090, Brazil
| | | | - Eustáquio
V. R. de Castro
- Chemometrics
Laboratory of the Center of Competence in Petroleum Chemistry −
NCQP, Universidade Federal do Espírito
Santo (UFES), Vitória, Espírito Santo 29075-910, Brazil
| | - Wanderson Romão
- Instituto
Federal de Educação, Ciência
e Tecnologia do Espírito Santo, Vila Velha 29106-010, Brazil
| | - Paulo R. Filgueiras
- Chemometrics
Laboratory of the Center of Competence in Petroleum Chemistry −
NCQP, Universidade Federal do Espírito
Santo (UFES), Vitória, Espírito Santo 29075-910, Brazil
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25
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Kazmer ST, Hartel G, Robinson H, Richards RS, Yan K, van Hal SJ, Chan R, Hind A, Bradley D, Zieschang F, Rawle DJ, Le TT, Reid DW, Suhrbier A, Hill MM. Pathophysiological Response to SARS-CoV-2 Infection Detected by Infrared Spectroscopy Enables Rapid and Robust Saliva Screening for COVID-19. Biomedicines 2022; 10:biomedicines10020351. [PMID: 35203562 PMCID: PMC8962262 DOI: 10.3390/biomedicines10020351] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/10/2022] [Accepted: 01/26/2022] [Indexed: 02/04/2023] Open
Abstract
Fourier transform infrared (FTIR) spectroscopy provides a (bio)chemical snapshot of the sample, and was recently used in proof-of-concept cohort studies for COVID-19 saliva screening. However, the biological basis of the proposed technology has not been established. To investigate underlying pathophysiology, we conducted controlled infection experiments on Vero E6 cells in vitro and K18-hACE2 mice in vivo. Potentially infectious culture supernatant or mouse oral lavage samples were treated with ethanol or 75% (v/v) Trizol for attenuated total reflectance (ATR)-FTIR spectroscopy and proteomics, or RT-PCR, respectively. Controlled infection with UV-inactivated SARS-CoV-2 elicited strong biochemical changes in culture supernatant/oral lavage despite a lack of viral replication, determined by RT-PCR or a cell culture infectious dose 50% assay. Nevertheless, SARS-CoV-2 infection induced additional FTIR signals over UV-inactivated SARS-CoV-2 infection in both cell and mouse models, which correspond to aggregated proteins and RNA. Proteomics of mouse oral lavage revealed increased secretion of kallikreins and immune modulatory proteins. Next, we collected saliva from a cohort of human participants (n = 104) and developed a predictive model for COVID-19 using partial least squares discriminant analysis. While high sensitivity of 93.48% was achieved through leave-one-out cross-validation, COVID-19 patients testing negative on follow-up on the day of saliva sampling using RT-PCR was poorly predicted in this model. Importantly, COVID-19 vaccination did not lead to the misclassification of COVID-19 negatives. Finally, meta-analysis revealed that SARS-CoV-2 induced increases in the amide II band in all arms of this study and in recently published cohort studies, indicative of altered β-sheet structures in secreted proteins. In conclusion, this study reveals a consistent secretory pathophysiological response to SARS-CoV-2, as well as a simple, robust method for COVID-19 saliva screening using ATR-FTIR.
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Affiliation(s)
- Seth T. Kazmer
- Precision & Systems Biomedicine Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (S.T.K.); (H.R.); (R.S.R.)
| | - Gunter Hartel
- Biostatistics Unit, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia;
| | - Harley Robinson
- Precision & Systems Biomedicine Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (S.T.K.); (H.R.); (R.S.R.)
| | - Renee S. Richards
- Precision & Systems Biomedicine Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (S.T.K.); (H.R.); (R.S.R.)
| | - Kexin Yan
- Inflammation Biology Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (K.Y.); (D.J.R.); (T.T.L.); (A.S.)
| | - Sebastiaan J. van Hal
- New South Wales Health Pathology-Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia; (S.J.v.H.); (R.C.)
| | - Raymond Chan
- New South Wales Health Pathology-Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia; (S.J.v.H.); (R.C.)
| | - Andrew Hind
- Agilent Technologies Australia, Mulgrave, VIC 3170, Australia; (A.H.); (D.B.); (F.Z.)
| | - David Bradley
- Agilent Technologies Australia, Mulgrave, VIC 3170, Australia; (A.H.); (D.B.); (F.Z.)
| | - Fabian Zieschang
- Agilent Technologies Australia, Mulgrave, VIC 3170, Australia; (A.H.); (D.B.); (F.Z.)
| | - Daniel J. Rawle
- Inflammation Biology Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (K.Y.); (D.J.R.); (T.T.L.); (A.S.)
| | - Thuy T. Le
- Inflammation Biology Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (K.Y.); (D.J.R.); (T.T.L.); (A.S.)
| | - David W. Reid
- Lung Inflammation & Infection Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia;
- The Prince Charles Hospital, Chermside, QLD 4032, Australia
| | - Andreas Suhrbier
- Inflammation Biology Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (K.Y.); (D.J.R.); (T.T.L.); (A.S.)
- Australian Infectious Disease Research Centre, GVN Centre of Excellence, Brisbane, QLD 4029, Australia
| | - Michelle M. Hill
- Precision & Systems Biomedicine Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (S.T.K.); (H.R.); (R.S.R.)
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, QLD 4006, Australia
- Correspondence:
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26
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Ember K, Daoust F, Mahfoud M, Dallaire F, Ahmad EZ, Tran T, Plante A, Diop MK, Nguyen T, St-Georges-Robillard A, Ksantini N, Lanthier J, Filiatrault A, Sheehy G, Beaudoin G, Quach C, Trudel D, Leblond F. Saliva-based detection of COVID-19 infection in a real-world setting using reagent-free Raman spectroscopy and machine learning. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:JBO-210270RR. [PMID: 35142113 PMCID: PMC8825664 DOI: 10.1117/1.jbo.27.2.025002] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 01/20/2022] [Indexed: 05/31/2023]
Abstract
SIGNIFICANCE The primary method of COVID-19 detection is reverse transcription polymerase chain reaction (RT-PCR) testing. PCR test sensitivity may decrease as more variants of concern arise and reagents may become less specific to the virus. AIM We aimed to develop a reagent-free way to detect COVID-19 in a real-world setting with minimal constraints on sample acquisition. The machine learning (ML) models involved could be frequently updated to include spectral information about variants without needing to develop new reagents. APPROACH We present a workflow for collecting, preparing, and imaging dried saliva supernatant droplets using a non-invasive, label-free technique-Raman spectroscopy-to detect changes in the molecular profile of saliva associated with COVID-19 infection. RESULTS We used an innovative multiple instance learning-based ML approach and droplet segmentation to analyze droplets. Amongst all confounding factors, we discriminated between COVID-positive and COVID-negative individuals yielding receiver operating coefficient curves with an area under curve (AUC) of 0.8 in both males (79% sensitivity and 75% specificity) and females (84% sensitivity and 64% specificity). Taking the sex of the saliva donor into account increased the AUC by 5%. CONCLUSION These findings may pave the way for new rapid Raman spectroscopic screening tools for COVID-19 and other infectious diseases.
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Affiliation(s)
- Katherine Ember
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - François Daoust
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - Myriam Mahfoud
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - Frédérick Dallaire
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - Esmat Zamani Ahmad
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
- Institut du cancer de Montréal, Montreal, Canada
| | - Trang Tran
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - Arthur Plante
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - Mame-Kany Diop
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
- Institut du cancer de Montréal, Montreal, Canada
| | - Tien Nguyen
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
- Institut du cancer de Montréal, Montreal, Canada
| | - Amélie St-Georges-Robillard
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - Nassim Ksantini
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - Julie Lanthier
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - Antoine Filiatrault
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - Guillaume Sheehy
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - Gabriel Beaudoin
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
| | - Caroline Quach
- Research Center, CHU Sainte-Justine, Montreal, Canada
- University of Montreal, Faculty of Medicine, Montreal, Quebec, Canada
| | - Dominique Trudel
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
- Institut du cancer de Montréal, Montreal, Canada
- Université de Montréal, Department of Pathology and Cellular Biology, Montreal, Quebec, Canada
- Center Hospitalier de l’Université de Montréal, Department of Pathology, Montreal, Quebec, Canada
| | - Frédéric Leblond
- Polytechnique Montréal, Montreal, Canada
- Center de recherche du Center hospitalier de l’Université de Montréal, Montreal, Canada
- Institut du cancer de Montréal, Montreal, Canada
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27
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Wood BR, Bedolla DE, Kochan K, Godfrey DI, Purcell DFJ, Heraud P. Comment on Ultrarapid On-Site Detection of SARS-CoV-2 Infection Using Simple ATR-FTIR Spectroscopy and an Analysis Algorithm: High Sensitivity and Specificity. Anal Chem 2021; 93:16974-16976. [PMID: 34878756 DOI: 10.1021/acs.analchem.1c03099] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Bayden R Wood
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, Melbourne, Victoria 3800, Australia
| | - Diana E Bedolla
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, Melbourne, Victoria 3800, Australia
| | - Kamila Kochan
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, Melbourne, Victoria 3800, Australia
| | - Dale I Godfrey
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3010, Australia.,Australian Research Council Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Damian F J Purcell
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Philip Heraud
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, Melbourne, Victoria 3800, Australia
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28
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Gogoi P, Singh SK, Pandey A, Chattopadhyay A, Gooh Pattader PS. Nanometer-Thick Superhydrophobic Coating Renders Cloth Mask Potentially Effective against Aerosol-Driven Infections. ACS APPLIED BIO MATERIALS 2021; 4:7921-7931. [PMID: 35006773 PMCID: PMC8525343 DOI: 10.1021/acsabm.1c00851] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 09/30/2021] [Indexed: 12/21/2022]
Abstract
The advent of COVID-19 pandemic has made it necessary to wear masks across populations. While the N95 mask offers great performance against airborne infections, its multilayered sealed design makes it difficult to breathe for a longer duration of use. The option of using highly breathable cloth or silk masks especially for a large populace is fraught with the danger of infection. As a normal cloth or silk mask absorbs airborne liquid, it can be a source of plausible infection. We demonstrate the chemical modification of one such mask, Eri silk, to make it hydrophobic (contact angle of water is 143.7°), which reduces the liquid absorption capacity without reducing the breathability of the mask significantly. The breathability reduces only 22% for hydrophobic Eri silk compared to the pristine Eri silk, whereas N95 shows a 59% reduction of breathability. The modified hydrophobic silk can repel the incoming aqueous liquid droplets without wetting the surface. The results indicate that a multilayered modified silk mask to make it hydrophobic can be an affordable and breathable alternative to the N95 mask.
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Affiliation(s)
- Prerona Gogoi
- Department of Chemical Engineering,
Indian Institute of Technology Guwahati, Guwahati, Assam
781039, India
| | - Sunil Kumar Singh
- Department of Chemical Engineering,
Indian Institute of Technology Guwahati, Guwahati, Assam
781039, India
| | - Ankur Pandey
- Department of Chemical Engineering,
Indian Institute of Technology Guwahati, Guwahati, Assam
781039, India
| | - Arun Chattopadhyay
- Department of Chemistry, Indian Institute
of Technology Guwahati, Guwahati, Assam 781039,
India
- Centre for Nanotechnology, Indian Institute
of Technology Guwahati, Guwahati, Assam 781039,
India
| | - Partho Sarathi Gooh Pattader
- Department of Chemical Engineering,
Indian Institute of Technology Guwahati, Guwahati, Assam
781039, India
- Centre for Nanotechnology, Indian Institute
of Technology Guwahati, Guwahati, Assam 781039,
India
- School of Health Science and Technology,
Indian Institute of Technology Guwahati, Guwahati, Assam
781039, India
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29
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30
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Martinez-Cuazitl A, Vazquez-Zapien GJ, Sanchez-Brito M, Limon-Pacheco JH, Guerrero-Ruiz M, Garibay-Gonzalez F, Delgado-Macuil RJ, de Jesus MGG, Corona-Perezgrovas MA, Pereyra-Talamantes A, Mata-Miranda MM. ATR-FTIR spectrum analysis of saliva samples from COVID-19 positive patients. Sci Rep 2021; 11:19980. [PMID: 34620977 PMCID: PMC8497525 DOI: 10.1038/s41598-021-99529-w] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 09/27/2021] [Indexed: 12/26/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) is the latest biological hazard for the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Even though numerous diagnostic tests for SARS-CoV-2 have been proposed, new diagnosis strategies are being developed, looking for less expensive methods to be used as screening. This study aimed to establish salivary vibrational modes analyzed by attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy to detect COVID-19 biological fingerprints that allow the discrimination between COVID-19 and healthy patients. Clinical dates, laboratories, and saliva samples of COVID-19 patients (N = 255) and healthy persons (N = 1209) were obtained and analyzed through ATR-FTIR spectroscopy. Then, a multivariate linear regression model (MLRM) was developed. The COVID-19 patients showed low SaO2, cough, dyspnea, headache, and fever principally. C-reactive protein, lactate dehydrogenase, fibrinogen, D-dimer, and ferritin were the most important altered laboratory blood tests, which were increased. In addition, changes in amide I and immunoglobulin regions were evidenced in the FTIR spectra analysis, and the MLRM showed clear discrimination between both groups. Specific salivary vibrational modes employing ATR-FTIR spectroscopy were established; moreover, the COVID-19 biological fingerprint in saliva was characterized, allowing the COVID-19 detection using an MLRM, which could be helpful for the development of new diagnostic devices.
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Affiliation(s)
- Adriana Martinez-Cuazitl
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico
| | - Gustavo J Vazquez-Zapien
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico
| | | | - Jorge H Limon-Pacheco
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico
| | - Melissa Guerrero-Ruiz
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico
| | - Francisco Garibay-Gonzalez
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico
| | | | | | | | | | - Monica M Mata-Miranda
- Escuela Militar de Medicina, Centro Militar de Ciencias de la Salud, Secretaría de la Defensa Nacional, 11200, Mexico City, Mexico.
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