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Subramanian Suriyanarayanan
Has grant
Senior Researcher
Research Interests
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Recent Grants
Grant: Open
Re-engineering Templated Nano-materials for Biomacromolecular Recognition in Diagnostic Development
Open Date: 2024-01-01
Close Date: 2027-11-01
Grant: Close
Advanced Materials for Personalized Medicine & Diagnostics (AMPMeD)
Open Date: 2023-06-01
Close Date: 2026-05-01
Grant: Close
Ultra-sensitive micro-sensors
Open Date: 2020-01-01
Close Date: 2022-01-01
Grant: Close
Better methods for quality control of the next generation of drugs
Open Date: 2017-01-01
Close Date: 2020-01-01
Grant: Close
From Eutectic Mixtures to Hierarchical Material Architectures: Fundamental Studies and Applications
Open Date: 2015-01-01
Close Date: 2018-01-01
Articles (6)
Year:
2025
Year:
2024
Rapid and accurate serological analysis of SARS-CoV-2 antibodies is important for assessing immune protection from vaccination or infection of individuals and for projecting virus spread within a population. The quartz crystal microbalance (QCM) is a label-free flow-based sensor platform that offers an opportunity to detect the binding of a fluid-phase ligand to an immobilized target molecule in real time. A QCM-based assay was developed for the detection of SARS-CoV-2 antibody binding and evaluated for assay reproducibility. The assay was cross-compared to the Roche electrochemiluminescence assay (ECLIA) Elecsys® Anti-SARS-CoV-2 serology test kit and YHLO’s chemiluminescence immunoassay (CLIA). The day-to-day reproducibility of the assay had a correlation of r2 = 0.99, p < 0.001. The assay linearity was r2 = 0.96, p < 0.001, for dilution in both serum and buffer. In the cross-comparison analysis of 119 human serum samples, 59 were positive in the Roche, 52 in the YHLO, and 48 in the QCM immunoassay. Despite differences in the detection method and antigen used for antibody capture, there was good coherence between the assays, 80–100% for positive and 96–100% for negative test results. In summation, the QCM-based SARS-CoV-2 IgG immunoassay showed high reproducibility and linearity, along with good coherence with the ELISA-based assays. Still, factors including antibody titer and antigen-binding affinity may differentially affect the various assays’ responses.
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Collaborators (3)
Ivar Tjernberg
Senior lecturer, Associate professor
Linköping University
Ian A. Nicholls
-
Sudip Mandal
Assistant Professor
Vignan's Foundation for Science, Technology & Research
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