Single-molecule immunoassay technology: Recent advances.


Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
01 Dec 2023
Historique:
received: 13 02 2023
revised: 29 06 2023
accepted: 01 07 2023
medline: 2 8 2023
pubmed: 8 7 2023
entrez: 7 7 2023
Statut: ppublish

Résumé

Detecting diseases at the molecular level aids in early diagnosis and treatment. However, traditional immunological detection techniques, such as enzyme-linked immunosorbent assay (ELISA) and chemiluminescence, have detection sensitivities between 10

Identifiants

pubmed: 37418954
pii: S0039-9140(23)00654-9
doi: 10.1016/j.talanta.2023.124903
pii:
doi:

Substances chimiques

Biomarkers 0
Hydrolases EC 3.-

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

124903

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Yi Wu (Y)

University of Electronic Science and Technology of China, Chengdu, China.

Yusheng Fu (Y)

University of Electronic Science and Technology of China, Chengdu, China.

Jiuchuan Guo (J)

University of Electronic Science and Technology of China, Chengdu, China. Electronic address: uestc_gjc@163.com.

Jinhong Guo (J)

School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China; The M.O.E. Key Laboratory of Laboratory Medical Diagnostics, The College of Laboratory Medicine, Chongqing Medical University, #1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China. Electronic address: guojinhong@uestc.edu.cn.

Articles similaires

C-Reactive Protein Humans Biomarkers Inflammation
Humans COVID-19 Immunoglobulin G Antibodies, Viral SARS-CoV-2
Humans Retrospective Studies Male Critical Illness Female
Humans Male Female Intensive Care Units COVID-19

Classifications MeSH