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da Silva JB, de Carvalho AEV, Schneider C, Corbellini VA. Saliva may predict quality of life in psoriasis as measured by Fourier transform infrared spectroscopy (FTIR) and chemometrics. Photodiagnosis Photodyn Ther 2022; 39:103017. [PMID: 35843561 DOI: 10.1016/j.pdpdt.2022.103017] [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: 05/22/2022] [Revised: 07/03/2022] [Accepted: 07/11/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Psoriasis is a chronic skin disease, with several comorbidities, such as psoriatic arthritis, inflammatory bowel disease, metabolic syndrome, and impaired quality of life and work activity. The Dermatology Life Quality Index (DLQI) is the most commonly used quality of life index in psoriatic patients, as it is a marker of severe disease. This study evaluated the association between salivary Fourier transform Infrared Spectroscopy (FTIR) metabolic fingerprints and severity of psoriasis as measured by DLQI, using chemometric algorithms. MATERIALS AND METHODS Saliva was collected from 56 (27 with DLQI ≤ 10 [GI]; 29 with DLQI > 10 [GII]) psoriatic patients diagnosed and assessed by DLQI for disease severity by a dermatologist and analyzed by the transflectance technique in mid-infrared. Hierarchic cluster analysis (HCA), principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and orthogonal partial least squares (OPLS) algorithms were used to associate salivary FTIR spectra with the respective DLQI scores. RESULTS Second derivative (2D) discriminated GI and GII at 2522 cm-1 (p < 0.0001). HCA and PCA partially discriminated GI from GII at 4000-450 cm-1 (p = 0.042 and 0.00821, respectively). Data processing with 1st derivative (1D), 3 latent variables (LV) and 1 orthogonal signal correction (OSC) component at 2550-1801 cm-1 generated an FTIR/OPLS-DA model with 100% accuracy to classify the severity of psoriasis, and an FTIR/OPLS model to quantify DLQI (range 0-28) with high performance: root mean square error of prediction (RMSEP) < 0.01 and coefficient of determination (R2) > 0.9999. CONCLUSIONS Salivary FTIR combined with chemometric algorithms such as OPLS-DA and OPLS can be used as a clinical tool to classify or predict the severity of psoriasis according to DLQI in patients with confirmed psoriasis.
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Affiliation(s)
- Jaquelini Barboza da Silva
- Postgraduate Program in Health Promotion, Universidade de Santa Cruz do Sul, RS, Brazil; Department of Life Sciences, Universidade de Santa Cruz do Sul, RS, Brazil.
| | | | - Carolina Schneider
- Postgraduate Program in Health Promotion, Universidade de Santa Cruz do Sul, RS, Brazil; Department of Life Sciences, Universidade de Santa Cruz do Sul, RS, Brazil
| | - Valeriano Antonio Corbellini
- Postgraduate Program in Health Promotion, Universidade de Santa Cruz do Sul, RS, Brazil; Postgraduate Program in Environmental Technology, Universidade de Santa Cruz do Sul, RS, Brazil; Department of Life Sciences, Universidade de Santa Cruz do Sul, RS, Brazil; Department of Sciences, Humanities and Education, Universidade de Santa Cruz do Sul, RS, Brazil
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52
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Filchakova O, Dossym D, Ilyas A, Kuanysheva T, Abdizhamil A, Bukasov R. Review of COVID-19 testing and diagnostic methods. Talanta 2022; 244:123409. [PMID: 35390680 PMCID: PMC8970625 DOI: 10.1016/j.talanta.2022.123409] [Citation(s) in RCA: 91] [Impact Index Per Article: 45.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 01/09/2023]
Abstract
More than six billion tests for COVID-19 has been already performed in the world. The testing for SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) virus and corresponding human antibodies is essential not only for diagnostics and treatment of the infection by medical institutions, but also as a pre-requisite for major semi-normal economic and social activities such as international flights, off line work and study in offices, access to malls, sport and social events. Accuracy, sensitivity, specificity, time to results and cost per test are essential parameters of those tests and even minimal improvement in any of them may have noticeable impact on life in the many countries of the world. We described, analyzed and compared methods of COVID-19 detection, while representing their parameters in 22 tables. Also, we compared test performance of some FDA approved test kits with clinical performance of some non-FDA approved methods just described in scientific literature. RT-PCR still remains a golden standard in detection of the virus, but a pressing need for alternative less expensive, more rapid, point of care methods is evident. Those methods that may eventually get developed to satisfy this need are explained, discussed, quantitatively compared. The review has a bioanalytical chemistry prospective, but it may be interesting for a broader circle of readers who are interested in understanding and improvement of COVID-19 testing, helping eventually to leave COVID-19 pandemic in the past.
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Affiliation(s)
- Olena Filchakova
- Biology Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
| | - Dina Dossym
- Chemistry Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
| | - Aisha Ilyas
- Chemistry Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
| | - Tamila Kuanysheva
- Chemistry Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
| | - Altynay Abdizhamil
- Chemistry Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
| | - Rostislav Bukasov
- Chemistry Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan,Corresponding author
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53
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Raypah ME, Faris AN, Mohd Azlan M, Yusof NY, Suhailin FH, Shueb RH, Ismail I, Mustafa FH. Near-Infrared Spectroscopy as a Potential COVID-19 Early Detection Method: A Review and Future Perspective. SENSORS 2022; 22:s22124391. [PMID: 35746172 PMCID: PMC9229781 DOI: 10.3390/s22124391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/16/2022] [Accepted: 05/23/2022] [Indexed: 02/05/2023]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic is a worldwide health anxiety. The rapid dispersion of the infection globally results in unparalleled economic, social, and health impacts. The pathogen that causes COVID-19 is known as a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A fast and low-cost diagnosis method for COVID-19 disease can play an important role in controlling its proliferation. Near-infrared spectroscopy (NIRS) is a quick, non-destructive, non-invasive, and inexpensive technique for profiling the chemical and physical structures of a wide range of samples. Furthermore, the NIRS has the advantage of incorporating the internet of things (IoT) application for the effective control and treatment of the disease. In recent years, a significant advancement in instrumentation and spectral analysis methods has resulted in a remarkable impact on the NIRS applications, especially in the medical discipline. To date, NIRS has been applied as a technique for detecting various viruses including zika (ZIKV), chikungunya (CHIKV), influenza, hepatitis C, dengue (DENV), and human immunodeficiency (HIV). This review aims to outline some historical and contemporary applications of NIRS in virology and its merit as a novel diagnostic technique for SARS-CoV-2.
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Affiliation(s)
- Muna E. Raypah
- School of Physics, Universiti Sains Malaysia, George Town 11800, Pulau Pinang, Malaysia;
| | - Asma Nadia Faris
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia Health Campus, Kubang Kerian 16150, Kelantan, Malaysia; (A.N.F.); (M.M.A.); (N.Y.Y.); (R.H.S.)
| | - Mawaddah Mohd Azlan
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia Health Campus, Kubang Kerian 16150, Kelantan, Malaysia; (A.N.F.); (M.M.A.); (N.Y.Y.); (R.H.S.)
| | - Nik Yusnoraini Yusof
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia Health Campus, Kubang Kerian 16150, Kelantan, Malaysia; (A.N.F.); (M.M.A.); (N.Y.Y.); (R.H.S.)
| | - Fariza Hanim Suhailin
- Department of Physics, Faculty of Science, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia;
| | - Rafidah Hanim Shueb
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia Health Campus, Kubang Kerian 16150, Kelantan, Malaysia; (A.N.F.); (M.M.A.); (N.Y.Y.); (R.H.S.)
- Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
| | - Irneza Ismail
- Advanced Devices & System (ADS) Research Group, Department of Electrical & Electronic Engineering, Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Bandar Baru Nilai, Nilai 71800, Negeri Sembilan, Malaysia
- Correspondence: (I.I.); (F.H.M.); Tel.: +60-7986569 (I.I.); +60-9-7672432 (F.H.M.)
| | - Fatin Hamimi Mustafa
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia Health Campus, Kubang Kerian 16150, Kelantan, Malaysia; (A.N.F.); (M.M.A.); (N.Y.Y.); (R.H.S.)
- Correspondence: (I.I.); (F.H.M.); Tel.: +60-7986569 (I.I.); +60-9-7672432 (F.H.M.)
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54
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Pullano SA, Bianco MG, Greco M, Mazzuca D, Nisticò SP, Fiorillo AS. FT-IR saliva analysis for the diagnosis of psoriasis: A pilot study. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103525] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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55
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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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56
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Sur UK, Santra C. Spectroscopy: a versatile sensing tool for cost-effective and rapid detection of novel coronavirus (COVID-19). EMERGENT MATERIALS 2022; 5:249-260. [PMID: 35252760 PMCID: PMC8883019 DOI: 10.1007/s42247-022-00358-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/10/2022] [Indexed: 06/14/2023]
Abstract
UNLABELLED The deadly novel coronavirus SARS-CoV-2 is responsible for COVID-19, which was first recognized in Wuhan, China, in December 2019. Rapid identification at primary stage of the novel coronavirus, SARS-CoV-2, is important to restrict it and prevent the pandemic. Real-time RT-PCR assays are the best diagnostic tests presently available for SARS-CoV-2 detection, which are highly sensitive, even though expensive equipment and trained technicians are necessary. Furthermore, the method has moderately long time bound. This deadly viral infection can also be detected by applying various spectroscopic techniques as spectroscopy can provide fast, precise identification and monitoring, leading to the overall understanding of its mutation rates, which will further facilitate antiviral drug development as well as vaccine development. It is an innovative and non-invasive technique for combating the spread of novel coronavirus. This review article demonstrates the application of various spectroscopic techniques to detect COVID-19 rapidly. Different spectroscopy-based detection protocols and additional development of new, novel sensors and biosensors along with diagnostic kits had been described here stressing the status of sensitive diagnostic systems to handle with the COVID-19 outbreak. GRAPHICAL ABSTRACT Spectroscopy: A versatile sensing tool for cost-effective and rapid detection of novel Coronavirus (COVID-19).
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Affiliation(s)
- Ujjal Kumar Sur
- Department of Chemistry, Behala College, University of Calcutta, Parnashree, Kolkata, 700060 West Bengal India
| | - Chittaranjan Santra
- Department of Chemistry (Ex), Netaji Nagar Day College, Kolkata, 700092 India
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57
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Gomez-Gonzalez E, Barriga-Rivera A, Fernandez-Muñoz B, Navas-Garcia JM, Fernandez-Lizaranzu I, Munoz-Gonzalez FJ, Parrilla-Giraldez R, Requena-Lancharro D, Gil-Gamboa P, Rosell-Valle C, Gomez-Gonzalez C, Mayorga-Buiza MJ, Martin-Lopez M, Muñoz O, Gomez-Martin JC, Relimpio-Lopez MI, Aceituno-Castro J, Perales-Esteve MA, Puppo-Moreno A, Garcia-Cozar FJ, Olvera-Collantes L, Gomez-Diaz R, de Los Santos-Trigo S, Huguet-Carrasco M, Rey M, Gomez E, Sanchez-Pernaute R, Padillo-Ruiz J, Marquez-Rivas J. Optical imaging spectroscopy for rapid, primary screening of SARS-CoV-2: a proof of concept. Sci Rep 2022; 12:2356. [PMID: 35181702 PMCID: PMC8857323 DOI: 10.1038/s41598-022-06393-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 01/28/2022] [Indexed: 12/24/2022] Open
Abstract
Effective testing is essential to control the coronavirus disease 2019 (COVID-19) transmission. Here we report a-proof-of-concept study on hyperspectral image analysis in the visible and near-infrared range for primary screening at the point-of-care of SARS-CoV-2. We apply spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence to extract information from optical diffuse reflectance measurements from 5 µL fluid samples at pixel, droplet, and patient levels. We discern preparations of engineered lentiviral particles pseudotyped with the spike protein of the SARS-CoV-2 from those with the G protein of the vesicular stomatitis virus in saline solution and artificial saliva. We report a quantitative analysis of 72 samples of nasopharyngeal exudate in a range of SARS-CoV-2 viral loads, and a descriptive study of another 32 fresh human saliva samples. Sensitivity for classification of exudates was 100% with peak specificity of 87.5% for discernment from PCR-negative but symptomatic cases. Proposed technology is reagent-free, fast, and scalable, and could substantially reduce the number of molecular tests currently required for COVID-19 mass screening strategies even in resource-limited settings.
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Affiliation(s)
- Emilio Gomez-Gonzalez
- Department of Applied Physics III, ETSI School of Engineering, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092, Sevilla, Spain. .,Institute of Biomedicine of Seville (IBIS), 41013, Sevilla, Spain.
| | - Alejandro Barriga-Rivera
- Department of Applied Physics III, ETSI School of Engineering, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092, Sevilla, Spain.,School of Biomedical Engineering, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Beatriz Fernandez-Muñoz
- Unidad de Producción y Reprogramación Celular (UPRC), Red Andaluza de Diseño y Traslación de Terapias Avanzadas, Consejería de Salud y Familias, Junta de Andalucía, 41092, Sevilla, Spain
| | | | - Isabel Fernandez-Lizaranzu
- Department of Applied Physics III, ETSI School of Engineering, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092, Sevilla, Spain.,Institute of Biomedicine of Seville (IBIS), 41013, Sevilla, Spain
| | - Francisco Javier Munoz-Gonzalez
- Department of Applied Physics III, ETSI School of Engineering, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092, Sevilla, Spain
| | | | - Desiree Requena-Lancharro
- Department of Applied Physics III, ETSI School of Engineering, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092, Sevilla, Spain
| | - Pedro Gil-Gamboa
- Department of Applied Physics III, ETSI School of Engineering, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092, Sevilla, Spain
| | - Cristina Rosell-Valle
- Institute of Biomedicine of Seville (IBIS), 41013, Sevilla, Spain.,Unidad de Producción y Reprogramación Celular (UPRC), Red Andaluza de Diseño y Traslación de Terapias Avanzadas, Consejería de Salud y Familias, Junta de Andalucía, 41092, Sevilla, Spain
| | - Carmen Gomez-Gonzalez
- Service of Intensive Care, University Hospital 'Virgen del Rocio', 41013, Sevilla, Spain.,Department of Medicine, College of Medicine, Universidad de Sevilla, 41009, Seville, Spain
| | - Maria Jose Mayorga-Buiza
- Institute of Biomedicine of Seville (IBIS), 41013, Sevilla, Spain.,Service of Anesthesiology, University Hospital 'Virgen del Rocio', 41013, Sevilla, Spain.,Department of Surgery, College of Medicine, Universidad de Sevilla, 41009, Seville, Spain
| | - Maria Martin-Lopez
- Institute of Biomedicine of Seville (IBIS), 41013, Sevilla, Spain.,Unidad de Producción y Reprogramación Celular (UPRC), Red Andaluza de Diseño y Traslación de Terapias Avanzadas, Consejería de Salud y Familias, Junta de Andalucía, 41092, Sevilla, Spain
| | - Olga Muñoz
- Instituto de Astrofísica de Andalucía, CSIC, 18008, Granada, Spain
| | | | - Maria Isabel Relimpio-Lopez
- Department of Surgery, College of Medicine, Universidad de Sevilla, 41009, Seville, Spain.,Department of Ophthalmology, University Hospital 'Virgen Macarena', 41009, Sevilla, Spain.,OftaRed, Institute of Health 'Carlos III', 28029, Madrid, Spain
| | - Jesus Aceituno-Castro
- Instituto de Astrofísica de Andalucía, CSIC, 18008, Granada, Spain.,Centro Astronomico Hispano Alemán, 04550, Almeria, Spain
| | - Manuel A Perales-Esteve
- Department of Electronic Engineering, ETSI School of Engineering, Universidad de Sevilla, 41092, Sevilla, Spain
| | - Antonio Puppo-Moreno
- Service of Intensive Care, University Hospital 'Virgen del Rocio', 41013, Sevilla, Spain.,Department of Medicine, College of Medicine, Universidad de Sevilla, 41009, Seville, Spain
| | | | - Lucia Olvera-Collantes
- Instituto de Investigación e Innovación Biomedica de Cádiz (INIBICA), 11009, Cadiz, Spain
| | | | | | | | | | - Emilia Gomez
- Joint Research Centre, European Commission, 41092, Sevilla, Spain
| | - Rosario Sanchez-Pernaute
- Unidad de Producción y Reprogramación Celular (UPRC), Red Andaluza de Diseño y Traslación de Terapias Avanzadas, Consejería de Salud y Familias, Junta de Andalucía, 41092, Sevilla, Spain
| | - Javier Padillo-Ruiz
- Institute of Biomedicine of Seville (IBIS), 41013, Sevilla, Spain.,Department of Surgery, College of Medicine, Universidad de Sevilla, 41009, Seville, Spain.,Department of General Surgery, University Hospital 'Virgen del Rocío', 41013, Sevilla, Spain
| | - Javier Marquez-Rivas
- Institute of Biomedicine of Seville (IBIS), 41013, Sevilla, Spain.,Department of Surgery, College of Medicine, Universidad de Sevilla, 41009, Seville, Spain.,Service of Neurosurgery, University Hospital 'Virgen del Rocío', 41013, Sevilla, Spain.,Centre for Advanced Neurology, 41013, Sevilla, Spain
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58
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Aitekenov S, Sultangaziyev A, Abdirova P, Yussupova L, Gaipov A, Utegulov Z, Bukasov R. Raman, Infrared and Brillouin Spectroscopies of Biofluids for Medical Diagnostics and for Detection of Biomarkers. Crit Rev Anal Chem 2022; 53:1561-1590. [PMID: 35157535 DOI: 10.1080/10408347.2022.2036941] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
Abstract
This review surveys Infrared, Raman/SERS and Brillouin spectroscopies for medical diagnostics and detection of biomarkers in biofluids, that include urine, blood, saliva and other biofluids. These optical sensing techniques are non-contact, noninvasive and relatively rapid, accurate, label-free and affordable. However, those techniques still have to overcome some challenges to be widely adopted in routine clinical diagnostics. This review summarizes and provides insights on recent advancements in research within the field of vibrational spectroscopy for medical diagnostics and its use in detection of many health conditions such as kidney injury, cancers, cardiovascular and infectious diseases. The six comprehensive tables in the review and four tables in supplementary information summarize a few dozen experimental papers in terms of such analytical parameters as limit of detection, range, diagnostic sensitivity and specificity, and other figures of merits. Critical comparison between SERS and FTIR methods of analysis reveals that on average the reported sensitivity for biomarkers in biofluids for SERS vs FTIR is about 103 to 105 times higher, since LOD SERS are lower than LOD FTIR by about this factor. High sensitivity gives SERS an edge in detection of many biomarkers present in biofluids at low concentration (nM and sub nM), which can be particularly advantageous for example in early diagnostics of cancer or viral infections.HighlightsRaman, Infrared spectroscopies use low volume of biofluidic samples, little sample preparation, fast time of analysis and relatively inexpensive instrumentation.Applications of SERS may be a bit more complicated than applications of FTIR (e.g., limited shelf life for nanoparticles and substrates, etc.), but this can be generously compensated by much higher (by several order of magnitude) sensitivity in comparison to FTIR.High sensitivity makes SERS a noninvasive analytical method of choice for detection, quantification and diagnostics of many health conditions, metabolites, and drugs, particularly in diagnostics of cancer, including diagnostics of its early stages.FTIR, particularly ATR-FTIR can be a method of choice for efficient sensing of many biomarkers, present in urine, blood and other biofluids at sufficiently high concentrations (mM and even a few µM)Brillouin scattering spectroscopy detecting visco-elastic properties of probed liquid medium, may also find application in clinical analysis of some biofluids, such as cerebrospinal fluid and urine.
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Affiliation(s)
- Sultan Aitekenov
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Alisher Sultangaziyev
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Perizat Abdirova
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Lyailya Yussupova
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | | | - Zhandos Utegulov
- Department of Physics, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Rostislav Bukasov
- Department of Chemistry, School of Sciences and Humanities (SSH), Nazarbayev University, Nur-Sultan, Kazakhstan
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59
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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] [Key Words] [MESH Headings] [Grants] [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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60
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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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61
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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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62
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Ramoji A, Pahlow S, Pistiki A, Rueger J, Shaik TA, Shen H, Wichmann C, Krafft C, Popp J. Understanding Viruses and Viral Infections by Biophotonic Methods. TRANSLATIONAL BIOPHOTONICS 2022. [DOI: 10.1002/tbio.202100008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Anuradha Ramoji
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- Center for Sepsis Control and Care Jena University Hospital, Am Klinikum 1, 07747 Jena Germany
| | - Susanne Pahlow
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
| | - Aikaterini Pistiki
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Jan Rueger
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Tanveer Ahmed Shaik
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Haodong Shen
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
| | - Christina Wichmann
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
| | - Christoph Krafft
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Juergen Popp
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- Center for Sepsis Control and Care Jena University Hospital, Am Klinikum 1, 07747 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
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63
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Ami D, Duse A, Mereghetti P, Cozza F, Ambrosio F, Ponzini E, Grandori R, Lunetta C, Tavazzi S, Pezzoli F, Natalello A. Tear-Based Vibrational Spectroscopy Applied to Amyotrophic Lateral Sclerosis. Anal Chem 2021; 93:16995-17002. [PMID: 34905686 PMCID: PMC8717331 DOI: 10.1021/acs.analchem.1c02546] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
![]()
Biofluid analysis
by optical spectroscopy techniques is attracting
considerable interest due to its potential to revolutionize diagnostics
and precision medicine, particularly for neurodegenerative diseases.
However, the lack of effective biomarkers combined with the unaccomplished
identification of convenient biofluids has drastically hampered optical
advancements in clinical diagnosis and monitoring of neurodegenerative
disorders. Here, we show that vibrational spectroscopy applied to
human tears opens a new route, offering a non-invasive, label-free
identification of a devastating disease such as amyotrophic lateral
sclerosis (ALS). Our proposed approach has been validated using two
widespread techniques, namely, Fourier transform infrared (FTIR) and
Raman microspectroscopies. In conjunction with multivariate analysis,
this vibrational approach made it possible to discriminate between
tears from ALS patients and healthy controls (HCs) with high specificity
(∼97% and ∼100% for FTIR and Raman spectroscopy, respectively)
and sensitivity (∼88% and ∼100% for FTIR and Raman spectroscopy,
respectively). Additionally, the investigation of tears allowed us
to disclose ALS spectroscopic markers related to protein and lipid
alterations, as well as to a reduction of the phenylalanine level,
in comparison with HCs. Our findings show that vibrational spectroscopy
is a new potential ALS diagnostic approach and indicate that tears
are a reliable and non-invasive source of ALS biomarkers.
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Affiliation(s)
- Diletta Ami
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
| | - Alessandro Duse
- Department of Materials Science, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milano, Italy.,COMiB Research Centre in Optics and Optometry, Via R. Cozzi 55, 20125 Milano, Italy
| | | | - Federica Cozza
- COMiB Research Centre in Optics and Optometry, Via R. Cozzi 55, 20125 Milano, Italy.,NEuroMuscular Omnicentre (NEMO), Serena Onlus Foundation, Piazza Ospedale Maggiore 3, 20162 Milano, Italy
| | - Francesca Ambrosio
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
| | - Erika Ponzini
- Department of Materials Science, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milano, Italy.,COMiB Research Centre in Optics and Optometry, Via R. Cozzi 55, 20125 Milano, Italy
| | - Rita Grandori
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
| | - Christian Lunetta
- NEuroMuscular Omnicentre (NEMO), Serena Onlus Foundation, Piazza Ospedale Maggiore 3, 20162 Milano, Italy.,NEMO Lab, Piazza Ospedale Maggiore 3, 20162 Milano, Italy
| | - Silvia Tavazzi
- Department of Materials Science, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milano, Italy.,COMiB Research Centre in Optics and Optometry, Via R. Cozzi 55, 20125 Milano, Italy
| | - Fabio Pezzoli
- Department of Materials Science, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milano, Italy
| | - Antonino Natalello
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy
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64
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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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65
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Goulart ACC, Zângaro RA, Carvalho HC, Silveira L. Diagnosing COVID-19 in human sera with detected immunoglobulins IgM and IgG by means of Raman spectroscopy. JOURNAL OF RAMAN SPECTROSCOPY : JRS 2021; 52:2671-2682. [PMID: 34518728 PMCID: PMC8427108 DOI: 10.1002/jrs.6235] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/30/2021] [Accepted: 07/31/2021] [Indexed: 05/05/2023]
Abstract
The severe COVID-19 pandemic requires the development of novel, rapid, accurate, and label-free techniques that facilitate the detection and discrimination of SARS-CoV-2 infected subjects. Raman spectroscopy has been used to diagnose COVID-19 in serum samples of suspected patients without clinical symptoms of COVID-19 but presented positive immunoglobulins M and G (IgM and IgG) assays versus Control (negative IgM and IgG). A dispersive Raman spectrometer (830 nm, 350 mW) was employed, and triplicate spectra were obtained. A total of 278 spectra were used from 94 serum samples (54 Control and 40 COVID-19). The main spectral differences between the positive IgM and IgG versus Control, evaluated by principal component analysis (PCA), were features assigned to proteins including albumin (lower in the group COVID-19 and in the group IgM/IgG and IgG positive) and features assigned to lipids, phospholipids, and carotenoids (higher the group COVID-19 and in the group IgM/IgG positive). Features referred to nucleic acids, tryptophan, and immunoglobulins were also seen (higher the group COVID-19). A discriminant model based on partial least squares regression (PLS-DA) found sensitivity of 84.0%, specificity of 95.0%, and accuracy of 90.3% for discriminating positive Ig groups versus Control. When considering individual Ig group versus Control, it was found sensitivity of 77.3%, specificity of 97.5%, and accuracy of 88.8%. The higher classification error was found for the IgM group (no success classification). Raman spectroscopy may become a technique of choice for rapid serological evaluation aiming COVID-19 diagnosis, mainly detecting the presence of IgM/IgG and IgG after COVID-19 infection.
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Affiliation(s)
| | - Renato Amaro Zângaro
- Biomedical Engineering ProgramUniversidade Anhembi Morumbi – UAMSão PauloState of São PauloBrazil
- Laboratory of Vibrational SpectroscopyCenter for Innovation, Technology and Education – CITÉSão José dos CamposState of São PauloBrazil
| | - Henrique Cunha Carvalho
- Laboratory of Vibrational SpectroscopyCenter for Innovation, Technology and Education – CITÉSão José dos CamposState of São PauloBrazil
| | - Landulfo Silveira
- Biomedical Engineering ProgramUniversidade Anhembi Morumbi – UAMSão PauloState of São PauloBrazil
- Laboratory of Vibrational SpectroscopyCenter for Innovation, Technology and Education – CITÉSão José dos CamposState of São PauloBrazil
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66
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Dogan A, Gurbanov R, Severcan M, Severcan F. CoronaVac (Sinovac) COVID-19 vaccine-induced molecular changes in healthy human serum by infrared spectroscopy coupled with chemometrics. Turk J Biol 2021; 45:549-558. [PMID: 34803453 PMCID: PMC8573849 DOI: 10.3906/biy-2105-65] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 07/30/2021] [Indexed: 12/25/2022] Open
Abstract
From the beginning of the COVID-19 coronavirus pandemic in December of 2019, the disease has infected millions of people worldwide and caused hundreds of thousands of deaths. Since then, several vaccines have been developed. One of those vaccines is inactivated CoronaVac-Sinovac COVID-19 vaccine. In this proof of concept study, we first aimed to determine CoronaVac-induced biomolecular changes in healthy human serum using infrared spectroscopy. Our second aim was to see whether the vaccinated group can be separated or not from the non-vaccinated group by applying chemometric techniques to spectral data. The results revealed that the vaccine administration induced significant changes in some functional groups belonging to lipids, proteins and nucleic acids. In addition, the non-vaccinated and vaccinated groups were successfully separated from each other by principal component analysis (PCA) and linear discriminant analysis (LDA). This proof-of-concept study will encourage future studies on CoronaVac as well as other vaccines and will lead to make a comparison between different vaccines to establish a better understanding of the vaccination outcomes on serum biomolecules.
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Affiliation(s)
- Ayca Dogan
- Department of Physiology, Faculty of Medicine, Altinbaş University, İstanbul Turkey
| | - Rafig Gurbanov
- Biotechnology Application and Research Center, Bilecik Şeyh Edebali University, Bilecik Turkey
| | - Mete Severcan
- Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Altınbaş University, İstanbul Turkey
| | - Feride Severcan
- Department of Biophysics, Faculty of Medicine, Altınbaş University, İstanbul Turkey
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67
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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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68
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Kim K, Narayanan J, Sen A, Chellam S. Virus Removal and Inactivation Mechanisms during Iron Electrocoagulation: Capsid and Genome Damages and Electro-Fenton Reactions. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:13198-13208. [PMID: 34546747 DOI: 10.1021/acs.est.0c04438] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Virus destabilization and inactivation are critical considerations in providing safe drinking water. We demonstrate that iron electrocoagulation simultaneously removed (via sweep flocculation) and inactivated a non-enveloped virus surrogate (MS2 bacteriophage) under slightly acidic conditions, resulting in highly effective virus control (e.g., 5-logs at 20 mg Fe/L and pH 6.4 in 30 min). Electrocoagulation simultaneously generated H2O2 and Fe(II) that can potentially trigger electro-Fenton reactions to produce reactive oxygen species such as •OH and high valent oxoiron(IV) that are capable of inactivating viruses. To date, viral attenuation during water treatment has been largely probed by evaluating infective virions (as plaque forming units) or genomic damage (via the quantitative polymerase chain reaction). In addition to these existing means of assessing virus attenuation, a novel technique of correlating transmission electron micrographs of electrocoagulated MS2 with their computationally altered three-dimensional electron density maps was developed to provide direct visual evidence of capsid morphological damages during electrocoagulation. The majority of coliphages lost at least 10-60% of the capsid protein missing a minimum of one of the 5-fold and two of 3- and 2-fold regions upon electrocoagulation, revealing substantial localized capsid deformation. Attenuated total reflectance-Fourier transform infrared spectroscopy revealed potential oxidation of viral coat proteins and modification of their secondary structures that were attributed to reactive oxygen species. Iron electrocoagulation simultaneously disinfects and coagulates non-enveloped viruses (unlike conventional coagulation), adding to the robustness of multiple barriers necessary for public health protection and appears to be a promising technology for small-scale distributed water treatment.
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Affiliation(s)
- Kyungho Kim
- Department of Civil & Environmental Engineering, Texas A&M University, College Station, Texas 77843-3136, United States
| | - Jothikumar Narayanan
- Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Infectious Diseases, Atlanta, Georgia 30329, United States
| | - Anindito Sen
- Microscopy and Imaging Center, Texas A&M University, College Station, Texas 77843-2257, United States
| | - Shankararaman Chellam
- Department of Civil & Environmental Engineering, Texas A&M University, College Station, Texas 77843-3136, United States
- Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843-3122, United States
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69
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Akter N, Hasan MM, Pala N. A Review of THz Technologies for Rapid Sensing and Detection of Viruses including SARS-CoV-2. BIOSENSORS 2021; 11:349. [PMID: 34677305 PMCID: PMC8534088 DOI: 10.3390/bios11100349] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 09/12/2021] [Accepted: 09/18/2021] [Indexed: 12/15/2022]
Abstract
Virus epidemics such as Ebola virus, Zika virus, MERS-coronavirus, and others have wreaked havoc on humanity in the last decade. In addition, a coronavirus (SARS-CoV-2) pandemic and its continuously evolving mutants have become so deadly that they have forced the entire technical advancement of healthcare into peril. Traditional ways of detecting these viruses have been successful to some extent, but they are costly, time-consuming, and require specialized human resources. Terahertz-based biosensors have the potential to lead the way for low-cost, non-invasive, and rapid virus detection. This review explores the latest progresses in terahertz technology-based biosensors for the virus, viral particle, and antigen detection, as well as upcoming research directions in the field.
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Affiliation(s)
| | | | - Nezih Pala
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA; (N.A.); (M.M.H.)
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70
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GARİP USTAOĞLU Ş, KAYGUSUZ H, BİLGİN MD, SEVERCAN F. Novel approaches for COVID-19 diagnosis and treatment: a nonsystematic review. Turk J Biol 2021; 45:358-371. [PMID: 34803440 PMCID: PMC8573842 DOI: 10.3906/biy-2105-45] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 07/19/2021] [Indexed: 12/13/2022] Open
Abstract
Since COVID-19 pandemic has been continuously rising and spreading, several original contributions and review articles on COVID-19 started to appear in the literature. The review articles are mainly focus on the current status of the pandemic along with current status of the corona diagnosis and treatment process. Due to some disadvantages of the currently used methods, the improvement on the novel promising diagnosis and treatment methods of corona virus is very important issue. In this review, after briefly discussing the status of current diagnosis and treatment methods, we present to the scientific community, novel promising methods in the diagnosis and treatment of COVID-19. As with other novel approaches, first, the diagnosis potential of mass spectroscopy and optical spectroscopic methods such as UV/visible, infrared, and Raman spectroscopy coupled with chemometrics will be discussed for the corona virus infected samples based on the relevant literature. In vibrational spectroscopy studies, due to complexity of the data, multivariate analysis methods are also applied to data. The application of multivariate analysis tools that can be used to extract useful information from the data for diagnostic and characterisation purposes is also included in this review. The reviewed methods include hierarchical cluster analysis, principal component analysis, linear and quadratic discriminant analysis, support vector machine algorithm, and one form of neural networks namely deep learning method. Second, novel treatment methods such as photodynamic therapy and the use of nanoparticles in the in-corona virus therapy will be discussed. Finally, the advantages of novel promising diagnosis and treatment methods in COVID-19, over standard methods will be discussed. One of the main aims of this paper is to encourage the scientific community to explore the potential of this novel tools for their use in corona virus characterization, diagnosis, and treatment.
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Affiliation(s)
- Şebnem GARİP USTAOĞLU
- Department of Medical Biochemistry, Faculty of Medicine, Altınbaş University, İstanbulTurkey
| | - Hakan KAYGUSUZ
- Department of Basic Sciences, Faculty of Engineering and Natural Sciences, Altınbaş University, İstanbulTurkey
- Sabanci University SUNUM Nanotechnology Research Center, İstanbulTurkey
| | - Mehmet Dinçer BİLGİN
- Department of Biophysics, Faculty of Medicine, Aydın Adnan Menderes University, AydınTurkey
| | - Feride SEVERCAN
- Department of Biophysics, Faculty of Medicine, Altınbaş University, İstanbulTurkey
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71
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Roadmap on Universal Photonic Biosensors for Real-Time Detection of Emerging Pathogens. PHOTONICS 2021. [DOI: 10.3390/photonics8080342] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The COVID-19 pandemic has made it abundantly clear that the state-of-the-art biosensors may not be adequate for providing a tool for rapid mass testing and population screening in response to newly emerging pathogens. The main limitations of the conventional techniques are their dependency on virus-specific receptors and reagents that need to be custom-developed for each recently-emerged pathogen, the time required for this development as well as for sample preparation and detection, the need for biological amplification, which can increase false positive outcomes, and the cost and size of the necessary equipment. Thus, new platform technologies that can be readily modified as soon as new pathogens are detected, sequenced, and characterized are needed to enable rapid deployment and mass distribution of biosensors. This need can be addressed by the development of adaptive, multiplexed, and affordable sensing technologies that can avoid the conventional biological amplification step, make use of the optical and/or electrical signal amplification, and shorten both the preliminary development and the point-of-care testing time frames. We provide a comparative review of the existing and emergent photonic biosensing techniques by matching them to the above criteria and capabilities of preventing the spread of the next global pandemic.
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72
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A simple and fast spectroscopy-based technique for Covid-19 diagnosis. Sci Rep 2021; 11:16740. [PMID: 34408169 PMCID: PMC8373901 DOI: 10.1038/s41598-021-95568-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 07/22/2021] [Indexed: 12/24/2022] Open
Abstract
The coronavirus pandemic, which appeared in Wuhan, China, in December 2019, rapidly spread all over the world in only a few weeks. Faster testing techniques requiring less resources are key in managing the pandemic, either to enable larger scale testing or even just provide developing countries with limited resources, particularly in Africa, means to perform tests to manage the crisis. Here, we report an unprecedented, rapid, reagent-free and easy-to-use screening spectroscopic method for the detection of SARS-CoV-2 on RNA extracts. This method, validated on clinical samples collected from 280 patients with quantitative predictive scores on both positive and negative samples, is based on a multivariate analysis of FTIR spectra of RNA extracts. This technique, in agreement with RT-PCR, achieves 97.8% accuracy, 97% sensitivity and 98.3% specificity while reducing the testing time post RNA extraction from hours to minutes. Furthermore, this technique can be used in several laboratories with limited resources.
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73
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Banerjee A, Gokhale A, Bankar R, Palanivel V, Salkar A, Robinson H, Shastri JS, Agrawal S, Hartel G, Hill MM, Srivastava S. Rapid Classification of COVID-19 Severity by ATR-FTIR Spectroscopy of Plasma Samples. Anal Chem 2021; 93:10391-10396. [PMID: 34279898 PMCID: PMC8315140 DOI: 10.1021/acs.analchem.1c00596] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 06/29/2021] [Indexed: 12/24/2022]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic continues to ravage the world, with many hospitals overwhelmed by the large number of patients presenting during major outbreaks. A rapid triage for COVID-19 patient requiring hospitalization and intensive care is urgently needed. Age and comorbidities have been associated with a higher risk of severe COVID-19 but are not sufficient to triage patients. Here, we investigated the potential of attenuated total reflectance Fourier-transform infrared (ATR-FTIR) spectroscopy as a rapid blood test for classification of COVID-19 disease severity using a cohort of 160 COVID-19 patients. A simple plasma processing and ATR-FTIR data acquisition procedure was established using 75% ethanol for viral inactivation. Next, partial least-squares-discriminant analysis (PLS-DA) models were developed and tested using data from 130 and 30 patients, respectively. Addition of the ATR-FTIR spectra to the clinical parameters (age, sex, diabetes mellitus, and hypertension) increased the area under the ROC curve (C-statistics) for both the training and test data sets, from 69.3% (95% CI 59.8-78.9%) to 85.7% (78.6-92.8%) and 77.8% (61.3-94.4%) to 85.1% (71.3-98.8%), respectively. The independent test set achieved 69.2% specificity (42.4-87.3%) and 94.1% sensitivity (73.0-99.0%). Diabetes mellitus was the strongest predictor in the model, followed by FTIR regions 1020-1090 and 1588-1592 cm-1. In summary, this study demonstrates the potential of ATR-FTIR spectroscopy as a rapid, low-cost COVID-19 severity triage tool to facilitate COVID-19 patient management during an outbreak.
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Affiliation(s)
- Arghya Banerjee
- Department
of Biosciences and Bioengineering, Indian
Institute of Technology Bombay, Powai, Mumbai 400 076, India
| | - Abhiram Gokhale
- Department
of Biosciences and Bioengineering, Indian
Institute of Technology Bombay, Powai, Mumbai 400 076, India
| | - Renuka Bankar
- Department
of Biosciences and Bioengineering, Indian
Institute of Technology Bombay, Powai, Mumbai 400 076, India
| | - Viswanthram Palanivel
- Department
of Biosciences and Bioengineering, Indian
Institute of Technology Bombay, Powai, Mumbai 400 076, India
| | - Akanksha Salkar
- Department
of Biosciences and Bioengineering, Indian
Institute of Technology Bombay, Powai, Mumbai 400 076, India
| | - Harley Robinson
- QIMR
Berghofer Medical Research Institute, 300 Herston Road, Herston QLD 4006, Australia
| | - Jayanthi S. Shastri
- Kasturba
Hospital for Infectious Diseases, Chinchpokli, Mumbai, Maharashtra 400034, India
| | - Sachee Agrawal
- Kasturba
Hospital for Infectious Diseases, Chinchpokli, Mumbai, Maharashtra 400034, India
| | - Gunter Hartel
- QIMR
Berghofer Medical Research Institute, 300 Herston Road, Herston QLD 4006, Australia
| | - Michelle M. Hill
- QIMR
Berghofer Medical Research Institute, 300 Herston Road, Herston QLD 4006, Australia
| | - Sanjeeva Srivastava
- Department
of Biosciences and Bioengineering, Indian
Institute of Technology Bombay, Powai, Mumbai 400 076, India
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Brümmer LE, Katzenschlager S, Gaeddert M, Erdmann C, Schmitz S, Bota M, Grilli M, Larmann J, Weigand MA, Pollock NR, Macé A, Carmona S, Ongarello S, Sacks JA, Denkinger CM. Accuracy of novel antigen rapid diagnostics for SARS-CoV-2: A living systematic review and meta-analysis. PLoS Med 2021; 18:e1003735. [PMID: 34383750 PMCID: PMC8389849 DOI: 10.1371/journal.pmed.1003735] [Citation(s) in RCA: 159] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 08/26/2021] [Accepted: 07/14/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND SARS-CoV-2 antigen rapid diagnostic tests (Ag-RDTs) are increasingly being integrated in testing strategies around the world. Studies of the Ag-RDTs have shown variable performance. In this systematic review and meta-analysis, we assessed the clinical accuracy (sensitivity and specificity) of commercially available Ag-RDTs. METHODS AND FINDINGS We registered the review on PROSPERO (registration number: CRD42020225140). We systematically searched multiple databases (PubMed, Web of Science Core Collection, medRvix, bioRvix, and FIND) for publications evaluating the accuracy of Ag-RDTs for SARS-CoV-2 up until 30 April 2021. Descriptive analyses of all studies were performed, and when more than 4 studies were available, a random-effects meta-analysis was used to estimate pooled sensitivity and specificity in comparison to reverse transcription polymerase chain reaction (RT-PCR) testing. We assessed heterogeneity by subgroup analyses, and rated study quality and risk of bias using the QUADAS-2 assessment tool. From a total of 14,254 articles, we included 133 analytical and clinical studies resulting in 214 clinical accuracy datasets with 112,323 samples. Across all meta-analyzed samples, the pooled Ag-RDT sensitivity and specificity were 71.2% (95% CI 68.2% to 74.0%) and 98.9% (95% CI 98.6% to 99.1%), respectively. Sensitivity increased to 76.3% (95% CI 73.1% to 79.2%) if analysis was restricted to studies that followed the Ag-RDT manufacturers' instructions. LumiraDx showed the highest sensitivity, with 88.2% (95% CI 59.0% to 97.5%). Of instrument-free Ag-RDTs, Standard Q nasal performed best, with 80.2% sensitivity (95% CI 70.3% to 87.4%). Across all Ag-RDTs, sensitivity was markedly better on samples with lower RT-PCR cycle threshold (Ct) values, i.e., <20 (96.5%, 95% CI 92.6% to 98.4%) and <25 (95.8%, 95% CI 92.3% to 97.8%), in comparison to those with Ct ≥ 25 (50.7%, 95% CI 35.6% to 65.8%) and ≥30 (20.9%, 95% CI 12.5% to 32.8%). Testing in the first week from symptom onset resulted in substantially higher sensitivity (83.8%, 95% CI 76.3% to 89.2%) compared to testing after 1 week (61.5%, 95% CI 52.2% to 70.0%). The best Ag-RDT sensitivity was found with anterior nasal sampling (75.5%, 95% CI 70.4% to 79.9%), in comparison to other sample types (e.g., nasopharyngeal, 71.6%, 95% CI 68.1% to 74.9%), although CIs were overlapping. Concerns of bias were raised across all datasets, and financial support from the manufacturer was reported in 24.1% of datasets. Our analysis was limited by the included studies' heterogeneity in design and reporting. CONCLUSIONS In this study we found that Ag-RDTs detect the vast majority of SARS-CoV-2-infected persons within the first week of symptom onset and those with high viral load. Thus, they can have high utility for diagnostic purposes in the early phase of disease, making them a valuable tool to fight the spread of SARS-CoV-2. Standardization in conduct and reporting of clinical accuracy studies would improve comparability and use of data.
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Affiliation(s)
- Lukas E. Brümmer
- Division of Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Mary Gaeddert
- Division of Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Stephani Schmitz
- Division of Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Marc Bota
- Agaplesion Bethesda Hospital, Hamburg, Germany
| | - Maurizio Grilli
- Library, University Medical Center Mannheim, Mannheim, Germany
| | - Jan Larmann
- Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Markus A. Weigand
- Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Nira R. Pollock
- Department of Laboratory Medicine, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | | | | | | | | | - Claudia M. Denkinger
- Division of Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
- Partner Site Heidelberg University Hospital, German Center for Infection Research (DZIF), Heidelberg, Germany
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75
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Takemura K. Surface Plasmon Resonance (SPR)- and Localized SPR (LSPR)-Based Virus Sensing Systems: Optical Vibration of Nano- and Micro-Metallic Materials for the Development of Next-Generation Virus Detection Technology. BIOSENSORS 2021; 11:250. [PMID: 34436053 PMCID: PMC8391291 DOI: 10.3390/bios11080250] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 07/13/2021] [Accepted: 07/23/2021] [Indexed: 01/04/2023]
Abstract
The global damage that a widespread viral infection can cause is evident from the ongoing COVID-19 pandemic. The importance of virus detection to prevent the spread of viruses has been reaffirmed by the pandemic and the associated social and economic damage. Surface plasmon resonance (SPR) in microscale and localized SPR (LSPR) in nanoscale virus sensing systems are thought to be useful as next-generation detection methods. Many studies have been conducted on ultra-sensitive technologies, especially those based on signal amplification. In some cases, it has been reported that even a low viral load can be measured, indicating that the virus can be detected in patients even in the early stages of the viral infection. These findings corroborate that SPR and LSPR are effective in minimizing false-positives and false-negatives that are prevalent in the existing virus detection techniques. In this review, the methods and signal responses of SPR and LSPR-based virus detection technologies are summarized. Furthermore, this review surveys some of the recent developments reported and discusses the limitations of SPR and LSPR-based virus detection as the next-generation detection technologies.
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Affiliation(s)
- Kenshin Takemura
- Sensing System Research Center, The National Institute of Advanced Industrial Science and Technology, 07-1 Shuku-Machi, Tosu 841-0052, Japan
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76
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Wood BR, Kochan K, Bedolla DE, Salazar‐Quiroz N, Grimley SL, Perez‐Guaita D, Baker MJ, Vongsvivut J, Tobin MJ, Bambery KR, Christensen D, Pasricha S, Eden AK, Mclean A, Roy S, Roberts JA, Druce J, Williamson DA, McAuley J, Catton M, Purcell DFJ, Godfrey DI, Heraud P. Infrared Based Saliva Screening Test for COVID‐19. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202104453] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Bayden R. Wood
- Centre for Biospectroscopy and School of Chemistry Monash University Clayton Campus 3800 Victoria Australia
- Australian Research Council Centre of Excellence in Advanced Molecular Imaging University of Melbourne Melbourne Victoria 3010 Australia
| | - Kamila Kochan
- Centre for Biospectroscopy and School of Chemistry Monash University Clayton Campus 3800 Victoria Australia
| | - Diana E. Bedolla
- Centre for Biospectroscopy and School of Chemistry Monash University Clayton Campus 3800 Victoria Australia
- Area Science Park Padriciano 99 34149 Trieste Italy
- Elettra-Sincrotrone Trieste S.S. 14 Km 163.5 34149 Trieste Italy
| | | | - Samantha L. Grimley
- Department of Microbiology and Immunology University of Melbourne Melbourne Australia
| | - David Perez‐Guaita
- Centre for Biospectroscopy and School of Chemistry Monash University Clayton Campus 3800 Victoria Australia
- FOCAS Research Institute Dublin Institute of Technology D04 Dublin Ireland
- Department of Analytical Chemistry University of Valencia 50 Dr. Moliner Street, Research Building 46100 Burjassot Valencia Spain
| | - Matthew J. Baker
- Department of Pure and Applied Chemistry University of Strathclyde, Technology and Innovation Centre Level 7 99 George Street Glasgow G1 1RD Scotland UK
| | - Jitraporn Vongsvivut
- ANSTO - Australian Synchrotron 800 Blackburn Road Clayton Victoria 3168 Australia
| | - Mark J. Tobin
- ANSTO - Australian Synchrotron 800 Blackburn Road Clayton Victoria 3168 Australia
| | - Keith R. Bambery
- ANSTO - Australian Synchrotron 800 Blackburn Road Clayton Victoria 3168 Australia
| | - Dale Christensen
- ANSTO - Australian Synchrotron 800 Blackburn Road Clayton Victoria 3168 Australia
| | - Shivani Pasricha
- Department of Microbiology and Immunology University of Melbourne Melbourne Australia
| | - Anthony K. Eden
- Centre for Biospectroscopy and School of Chemistry Monash University Clayton Campus 3800 Victoria Australia
| | - Aaron Mclean
- Centre for Biospectroscopy and School of Chemistry Monash University Clayton Campus 3800 Victoria Australia
| | - Supti Roy
- Centre for Biospectroscopy and School of Chemistry Monash University Clayton Campus 3800 Victoria Australia
| | - Jason A. Roberts
- Victorian Infectious Diseases Reference Laboratory The Peter Doherty Institute for Infection and Immunity Melbourne Vic Australia
| | - Julian Druce
- Victorian Infectious Diseases Reference Laboratory The Peter Doherty Institute for Infection and Immunity Melbourne Vic Australia
| | - Deborah A. Williamson
- Department of Microbiology and Immunology University of Melbourne Melbourne Australia
- Department of Microbiology Royal Melbourne Hospital Melbourne Australia
| | - Julie McAuley
- Department of Microbiology and Immunology University of Melbourne Melbourne Australia
| | - Mike Catton
- Victorian Infectious Diseases Reference Laboratory The Peter Doherty Institute for Infection and Immunity Melbourne Vic Australia
| | - Damian F. J. Purcell
- Department of Microbiology and Immunology University of Melbourne Melbourne Australia
| | - Dale I. Godfrey
- Australian Research Council Centre of Excellence in Advanced Molecular Imaging University of Melbourne Melbourne Victoria 3010 Australia
- Department of Microbiology and Immunology University of Melbourne Melbourne Australia
| | - Philip Heraud
- Centre for Biospectroscopy and School of Chemistry Monash University Clayton Campus 3800 Victoria Australia
- Australian Research Council Centre of Excellence in Advanced Molecular Imaging University of Melbourne Melbourne Victoria 3010 Australia
- Department of Microbiology and the Biomedicine Discovery Institute Faculty of Medicine, Nursing and Health Sciences Monash University Victoria Australia
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77
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Wood BR, Kochan K, Bedolla DE, Salazar-Quiroz N, Grimley SL, Perez-Guaita D, Baker MJ, Vongsvivut J, Tobin MJ, Bambery KR, Christensen D, Pasricha S, Eden AK, Mclean A, Roy S, Roberts JA, Druce J, Williamson DA, McAuley J, Catton M, Purcell DFJ, Godfrey DI, Heraud P. Infrared Based Saliva Screening Test for COVID-19. Angew Chem Int Ed Engl 2021; 60:17102-17107. [PMID: 34043272 PMCID: PMC8222893 DOI: 10.1002/anie.202104453] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Indexed: 11/23/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) has resulted in an unprecedented need for diagnostic testing that is critical in controlling the spread of COVID‐19. We propose a portable infrared spectrometer with purpose‐built transflection accessory for rapid point‐of‐care detection of COVID‐19 markers in saliva. Initially, purified virion particles were characterized with Raman spectroscopy, synchrotron infrared (IR) and AFM‐IR. A data set comprising 171 transflection infrared spectra from 29 subjects testing positive for SARS‐CoV‐2 by RT‐qPCR and 28 testing negative, was modeled using Monte Carlo Double Cross Validation with 50 randomized test and model sets. The testing sensitivity was 93 % (27/29) with a specificity of 82 % (23/28) that included positive samples on the limit of detection for RT‐qPCR. Herein, we demonstrate a proof‐of‐concept high throughput infrared COVID‐19 test that is rapid, inexpensive, portable and utilizes sample self‐collection thus minimizing the risk to healthcare workers and ideally suited to mass screening.
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Affiliation(s)
- Bayden R Wood
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia.,Australian Research Council Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Melbourne, Victoria, 3010, Australia
| | - Kamila Kochan
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia
| | - Diana E Bedolla
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia.,Area Science Park, Padriciano 99, 34149, Trieste, Italy.,Elettra-Sincrotrone Trieste, S.S. 14 Km 163.5, 34149, Trieste, Italy
| | - Natalia Salazar-Quiroz
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Australia
| | - Samantha L Grimley
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Australia
| | - David Perez-Guaita
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia.,FOCAS Research Institute, Dublin Institute of Technology, D04, Dublin, Ireland.,Department of Analytical Chemistry, University of Valencia, 50 Dr. Moliner Street, Research Building, 46100, Burjassot Valencia, Spain
| | - Matthew J Baker
- Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre Level 7, 99 George Street, Glasgow, G1 1RD, Scotland, UK
| | - Jitraporn Vongsvivut
- ANSTO - Australian Synchrotron, 800 Blackburn Road, Clayton, Victoria, 3168, Australia
| | - Mark J Tobin
- ANSTO - Australian Synchrotron, 800 Blackburn Road, Clayton, Victoria, 3168, Australia
| | - Keith R Bambery
- ANSTO - Australian Synchrotron, 800 Blackburn Road, Clayton, Victoria, 3168, Australia
| | - Dale Christensen
- ANSTO - Australian Synchrotron, 800 Blackburn Road, Clayton, Victoria, 3168, Australia
| | - Shivani Pasricha
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Australia
| | - Anthony K Eden
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia
| | - Aaron Mclean
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia
| | - Supti Roy
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia
| | - Jason A Roberts
- Victorian Infectious Diseases Reference Laboratory, The Peter Doherty Institute for Infection and Immunity, Melbourne, Vic, Australia
| | - Julian Druce
- Victorian Infectious Diseases Reference Laboratory, The Peter Doherty Institute for Infection and Immunity, Melbourne, Vic, Australia
| | - Deborah A Williamson
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Australia.,Department of Microbiology, Royal Melbourne Hospital, Melbourne, Australia
| | - Julie McAuley
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Australia
| | - Mike Catton
- Victorian Infectious Diseases Reference Laboratory, The Peter Doherty Institute for Infection and Immunity, Melbourne, Vic, Australia
| | - Damian F J Purcell
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Australia
| | - Dale I Godfrey
- Australian Research Council Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Melbourne, Victoria, 3010, Australia.,Department of Microbiology and Immunology, University of Melbourne, Melbourne, Australia
| | - Philip Heraud
- Centre for Biospectroscopy and School of Chemistry, Monash University, Clayton Campus, 3800, Victoria, Australia.,Australian Research Council Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Melbourne, Victoria, 3010, Australia.,Department of Microbiology and the Biomedicine Discovery Institute, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia
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Li D, Zhou H, Hui X, He X, Mu X. Plasmonic Biosensor Augmented by a Genetic Algorithm for Ultra-Rapid, Label-Free, and Multi-Functional Detection of COVID-19. Anal Chem 2021; 93:9437-9444. [PMID: 34170680 PMCID: PMC8262173 DOI: 10.1021/acs.analchem.1c01078] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
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The
novel coronavirus (COVID-19) is spreading globally due to its
super contagiousness, and the pandemic caused by it has caused serious
damage to the health and social economy of all countries in the world.
However, conventional diagnostic methods are not conducive to large-scale
screening and early identification of infected persons due to their
long detection time. Therefore, there is an urgent need to develop
a new COVID-19 test method that can deliver results in real time and
on-site. In this work, we develop a fast, ultra-sensitive, and multi-functional
plasmonic biosensor based on surface-enhanced infrared absorption
for COVID-19 on-site diagnosis. The genetic algorithm intelligent
program is utilized to automatically design and quickly optimize the
sensing device to enhance the sensing performance. As a result, the
quantitative detection of COVID-19 with an ultra-high sensitivity
(1.66%/nm), a wide detection range, and a diverse measurement environment
(gas/liquid) is achieved. In addition, the unique infrared fingerprint
recognition characteristics of the sensor also make it an ideal choice
for mutant virus screening. This work can not only provide a powerful
diagnostic tool for the ultra-rapid, label-free, and multi-functional
detection of COVID-19 but also help gain new insights into the field
of label-free and ultrasensitive biosensing.
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Affiliation(s)
- Dongxiao Li
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of Education, International R & D Center of Micro-nano Systems and New Materials Technology, College of Optoelectronic Engineering, Chongqing University, 400044 Chongqing, P. R. China
| | - Hong Zhou
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of Education, International R & D Center of Micro-nano Systems and New Materials Technology, College of Optoelectronic Engineering, Chongqing University, 400044 Chongqing, P. R. China
| | - Xindan Hui
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of Education, International R & D Center of Micro-nano Systems and New Materials Technology, College of Optoelectronic Engineering, Chongqing University, 400044 Chongqing, P. R. China
| | - Xianming He
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of Education, International R & D Center of Micro-nano Systems and New Materials Technology, College of Optoelectronic Engineering, Chongqing University, 400044 Chongqing, P. R. China
| | - Xiaojing Mu
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of Education, International R & D Center of Micro-nano Systems and New Materials Technology, College of Optoelectronic Engineering, Chongqing University, 400044 Chongqing, P. R. China
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