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Tripathy S, Supraja P, Mohanty S, Sai VM, Agrawal T, Chowdary CG, Taranikanti M, Bandaru R, Mudunuru AK, Tadi LJ, Suravaram S, Siddiqui IA, Maddur S, Guntuka RK, Singh R, Singh V, Singh SG. Artificial Intelligence-Based Portable Bioelectronics Platform for SARS-CoV-2 Diagnosis with Multi-nucleotide Probe Assay for Clinical Decisions. Anal Chem 2021; 93:14955-14965. [PMID: 34694783 DOI: 10.1021/acs.analchem.1c01650] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
In the context of the recent pandemic, the necessity of inexpensive and easily accessible rapid-test kits is well understood and need not be stressed further. In light of this, we report a multi-nucleotide probe-based diagnosis of SARS-CoV-2 using a bioelectronics platform, comprising low-cost chemiresistive biochips, a portable electronic readout, and an Android application for data acquisition with machine-learning-based decision making. The platform performs the desired diagnosis from standard nasopharyngeal and/or oral swabs (both on extracted and non-extracted RNA samples) without amplifying the viral load. Being a reverse transcription polymerase chain reaction-free hybridization assay, the proposed approach offers inexpensive, fast (time-to-result: ≤ 30 min), and early diagnosis, as opposed to most of the existing SARS-CoV-2 diagnosis protocols recommended by the WHO. For the extracted RNA samples, the assay accounts for 87 and 95.2% test accuracies, using a heuristic approach and a machine-learning-based classification method, respectively. In case of the non-extracted RNA samples, 95.6% decision accuracy is achieved using the heuristic approach, with the machine-learning-based best-fit model producing 100% accuracy. Furthermore, the availability of the handheld readout and the Android application-based simple user interface facilitates easy accessibility and portable applications. Besides, by eliminating viral RNA extraction from samples as a pre-requisite for specific detection, the proposed approach presents itself as an ideal candidate for point-of-care SARS-CoV-2 diagnosis.
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Affiliation(s)
- Suryasnata Tripathy
- Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana 502285, India
| | - Patta Supraja
- Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana 502285, India
| | - Swati Mohanty
- Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana 502285, India
| | - Vallepu Mohan Sai
- Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana 502285, India
| | - Tushant Agrawal
- Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana 502285, India
| | | | - Madhuri Taranikanti
- All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana 508126, India
| | - Rajiv Bandaru
- ESIC Medical College, S R Nagar, Hyderabad, Telangana 500038, India
| | | | - Lakshmi Jyothi Tadi
- All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana 508126, India.,ESIC Medical College, S R Nagar, Hyderabad, Telangana 500038, India
| | - Swathi Suravaram
- ESIC Medical College, S R Nagar, Hyderabad, Telangana 500038, India
| | | | - Srinivas Maddur
- ESIC Medical College, S R Nagar, Hyderabad, Telangana 500038, India
| | | | - Ranjana Singh
- Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana 502285, India
| | - Vikrant Singh
- School of Medicine, University of California, 1 Shields Avenue, Davis, California 95616, United States
| | - Shiv Govind Singh
- Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana 502285, India
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Perez-Puyana V, Ostos FJ, López-Cornejo P, Romero A, Guerrero A. Assessment of the denaturation of collagen protein concentrates using different techniques. Biol Chem 2019; 400:1583-1591. [PMID: 31125311 DOI: 10.1515/hsz-2019-0206] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 05/12/2019] [Indexed: 01/20/2023]
Abstract
The use of collagen and gelatin in the field of regenerative medicine is widely extended. However, most of the studies in this topic are focused on the scaffolds' properties, but only a few are related to the properties of the raw material used. The raw material analysis not only consists of a study of the composition, but also of the denaturation degree that can influence the processing and properties of the structure of the scaffold. Thus, the denaturation degree analysis of different collagen proteins was performed and assessed by the comparison of four different methods: differential scanning calorimetry (DSC), Fourier transform Infrared Spectroscopy (FTIR) and circular dichroism (CD) spectra and sulfhydryls content analysis. DSC measurements put forward a glass transition between 88°C and 95°C as well as from the FTIR measurements; the characteristic peaks for proteins are evidenced. However, from the sulfur content, only a small proportion of free sulfhydryls are present with respect to their total amount. In addition, CD spectra allow to estimate the secondary structure of the protein by the analysis of the α-helix and β-strand and also quantify the denaturation degree with the 'positive/negative ratio' (RPN) from the CD profiles, obtaining values in the range between 25% and 100%.
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Affiliation(s)
- Victor Perez-Puyana
- Departamento de Ingeniería Química, Universidad de Sevilla, Facultad de Química, 41012 Sevilla, Spain
| | - Francisco J Ostos
- Departamento de Química Física, Universidad de Sevilla, Facultad de Química, 41012 Sevilla, Spain
| | - Pilar López-Cornejo
- Departamento de Química Física, Universidad de Sevilla, Facultad de Química, 41012 Sevilla, Spain
| | - Alberto Romero
- Departamento de Ingeniería Química, Universidad de Sevilla, Facultad de Química, 41012 Sevilla, Spain
| | - Antonio Guerrero
- Departamento de Ingeniería Química, Universidad de Sevilla, Escuela Politécnica Superior, 41011 Sevilla, Spain
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Abstract
A variety of congenital cardiac anomalies with severe right ventricular outflow tract (RVOT) obstruction or RVOT interruption require surgical reconstruction from the infundibulum up to the pulmonary artery bifurcation or even into the branches of the pulmonary arteries. Ideally, the conduit or valve required for such reconstruction has to be formed of autologous tissue that grows, resists infection, lasts for the life span of the patient and is readily available in all sizes. Such conduits, however, are not available and although several alternatives have been used, none of which are without potential drawbacks. Contegra valved bovine internal jugular vein conduit (Medtronic Inc., MN, USA) has recently emerged as a promising option for pediatric RVOT reconstruction and has been advocated for its 'off-the-shelf' availability in sizes ranging from 12 to 22 mm, surgical pliability and encouraging short- and mid-term success in experimental animal, as well as clinical studies. This review focuses on the current outcomes of Contegra conduit and highlights some of the major concerns related to the use of this conduit and strategies to tackle these concerns.
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Affiliation(s)
- Shahzad G Raja
- Glasgow Royal Infirmary, Department of Cardiac Surgery, Queen Elizabeth Building, Alexandra Parade, Glasgow, G31 2ER, UK.
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Ye X, Zhao Q, Sun X, Li H. Enhancement of Mesenchymal Stem Cell Attachment to Decellularized Porcine Aortic Valve Scaffold byIn VitroCoating with Antibody Against CD90: A Preliminary Study on Antibody-Modified Tissue-Engineered Heart Valve. Tissue Eng Part A 2009; 15:1-11. [PMID: 18759669 DOI: 10.1089/ten.tea.2008.0001] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Affiliation(s)
- Xiaofeng Ye
- Department of Cardiac Surgery, Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China
| | - Qiang Zhao
- Department of Cardiac Surgery, Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China
| | - Xiaoning Sun
- Department of Cardiac Surgery, Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China
| | - Haiqing Li
- Department of Cardiac Surgery, Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, P.R. China
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