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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Problems of Interpreting Diagnostic Tests for SARS-CoV-2: Analytical Chemistry Concerns

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Author(s):
ISABELA A. MATTIOLI ; FRANK N. CRESPILHO
Total Authors: 2
Document type: Journal article
Source: Anais da Academia Brasileira de Ciências; v. 92, n. 4, p. -, 2020.
Web of Science Citations: 0
Abstract

Abstract The COVID-19 pandemic outbreak made the development of reliable, sensitive, and reproducible testing methods crucial throughout the world. Without proper analytical validation, testing results can be misinterpreted, leading to a certain degree of misinformation in the clinical area. To accurately assess the methods, the determination of an analytical linear range of response of the assay is fundamental. Based on this curve, the evaluation of some parameters as sensitivity, limit of detection, and limit of quantification can be done, as well as the establishment of cut-off values. Statistical treatments of the collected data can be performed for reproducibility and reliability evaluations. In this context, there is a wide range of analytical concerns that should be in-depth discussed in medical, biomedical and chemical areas. This letter aims to briefly clarify some analytical chemistry concepts, as sensitivity, cut-off and limit of detection, and their application towards clinical diagnosis. (AU)

FAPESP's process: 19/15333-1 - Bio-photo-electrochemical hybrid cells for solar energy conversion
Grantee:Frank Nelson Crespilho
Support type: Regular Research Grants
FAPESP's process: 18/11071-0 - Development and application of disposable screen-printed composite electrodes based on metallic nanoparticles and graphite-polyurethane
Grantee:Isabela Alteia Mattioli
Support type: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 19/12053-8 - High performance electrodes applied in organic batteries and in biofuel cell
Grantee:Frank Nelson Crespilho
Support type: Regular Research Grants
FAPESP's process: 18/22214-6 - Toward a convergence of technologies: from sensing and biosensing to information visualization and machine learning for data analysis in clinical diagnosis
Grantee:Osvaldo Novais de Oliveira Junior
Support type: Research Projects - Thematic Grants