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Enzyme-based colorimetric signal amplification strategy in lateral flow immunoassay

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收录情况: ◇ SCIE ◇ 统计源期刊 ◇ 卓越:领军期刊

机构: [1]Harbin Engn Univ, Coll Mat Sci & Chem Engn, Key Lab Superlight Mat & Surface Technol, Minist Educ, Harbin 150001, Peoples R China [2]Navy Mil Med Univ, Changhai Hosp, Shanghai 200086, Peoples R China [3]Harbin Engn Univ, Yantai Res Inst, Yantai 264000, Peoples R China [4]Univ Elect Sci & Technol China, Sichuan Canc Ctr, Sichuan Canc Hosp & Inst, Sch Med,Dept Clin Lab, Chengdu 610041, Peoples R China [5]King Saud Univ, King Abdullah Inst Nanotechnol, Riyadh 11451, Saudi Arabia
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关键词: Lateral flow immunoassay Signal amplification Enzyme-based enhancement Catalysis Colorimetric signal

摘要:
Lateral flow immunoassay (LFIA), a rapid detection technique noted for simplicity and economy, has showcased indispensable applicability in diverse domains such as disease screening, food safety, and environmental monitoring. Nevertheless, challenges still exist in detecting ultra-low concentration analytes due to the inherent sensitivity limitations of LFIA. Recently, significant advances have been achieved by integrating enzyme activity probes and transforming LFIA into a highly sensitive tool for rapidly detecting trace analyte concentrations. Specifically, modifying natural enzymes or engineered nanozymes allows them to function as immune probes, directly catalyzing the production of signal molecules or indirectly initiating enzyme activity. Therefore, the signal intensity and detection sensitivity of LFIA are markedly elevated. The present review undertakes a comprehensive examination of pertinent research literature, offering a systematic analysis of recently proposed enzyme-based signal amplification strategies. By way of comparative assessment, the merits and demerits of current approaches are delineated, along with the identification of research avenues that still need to be explored. It is anticipated that this critical overview will garner considerable attention within the biomedical and materials science communities, providing valuable direction and insight toward the advancement of high-performance LFIA technologies. (c) 2025 Published by Elsevier B.V. on behalf of Chinese Chemical Society and Institute of Materia Medica, Chinese Academy of Medical Sciences.

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出版当年[2025]版:
大类 | 1 区 化学
小类 | 2 区 化学:综合
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大类 | 1 区 化学
小类 | 2 区 化学:综合
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最新[2023]版:
Q1 CHEMISTRY, MULTIDISCIPLINARY

影响因子: 最新[2023版] 最新五年平均 出版当年[2024版] 出版当年五年平均 出版前一年[2024版]

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第一作者机构: [1]Harbin Engn Univ, Coll Mat Sci & Chem Engn, Key Lab Superlight Mat & Surface Technol, Minist Educ, Harbin 150001, Peoples R China
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通讯机构: [1]Harbin Engn Univ, Coll Mat Sci & Chem Engn, Key Lab Superlight Mat & Surface Technol, Minist Educ, Harbin 150001, Peoples R China [3]Harbin Engn Univ, Yantai Res Inst, Yantai 264000, Peoples R China
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