Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay
Lateral flow immunoassay (LFIA), a prominent rapid detection technology, has been widespreadly exploited in the areas of food safety, environmental monitoring, and clinical diagnosis. Nevertheless, a notable restriction of the conventional gold nanoparticles (AuNPs)-based LFIA lies in relatively low...
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sg-ntu-dr.10356-1630582023-12-29T06:49:44Z Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay Fang, Bolong Xiong, Qirong Duan, Hongwei Xiong, Yonghua Lai, Weihua School of Chemical and Biomedical Engineering Engineering::Chemical engineering Lateral Flow Immunoassay Quantum Dots Lateral flow immunoassay (LFIA), a prominent rapid detection technology, has been widespreadly exploited in the areas of food safety, environmental monitoring, and clinical diagnosis. Nevertheless, a notable restriction of the conventional gold nanoparticles (AuNPs)-based LFIA lies in relatively low sensitivity considering insufficient brightness. Generally, fluorescent LFIA (FLFIA) in which quantum dots (QDs) are deemed as one of the most commonly used signal labels shows higher sensitivity than the conventional AuNPs-based one because of their excellent luminescent properties. In this review, we systematically and comprehensively summarize the emerging strategies of tailing QDs to promote sensing performance of LFIA, including (i) quantum yield enhancement, (ii) QD loading, (iii) antibody labelling method improvement, (iv) background interference reduction, (v) fluorescence quenching, and (vi) nanoparticle flow rate regulation. Further, we put forward the developing status and future outlook on the QDs-based LFIA, which will drive the potential of biosensing applications. Submitted/Accepted version This work was supported by the Key Research and Development Program of Jiangxi Province, China (grant number 20203BBF63030), the Earmarked Fund for the Jiangxi Agriculture Research System, China (grant number JXARS-03), and Jiangxi Institute of Food Inspection and Testing Project, China (grant number 202201). 2022-11-18T02:34:20Z 2022-11-18T02:34:20Z 2022 Journal Article Fang, B., Xiong, Q., Duan, H., Xiong, Y. & Lai, W. (2022). Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay. TrAC Trends in Analytical Chemistry, 157, 116754-. https://dx.doi.org/10.1016/j.trac.2022.116754 0165-9936 https://hdl.handle.net/10356/163058 10.1016/j.trac.2022.116754 2-s2.0-85136133239 157 116754 en TrAC Trends in Analytical Chemistry © 2022 Elsevier B.V. All rights reserved. This paper was published in TrAC Trends in Analytical Chemistry and is made available with permission of Elsevier B.V. application/pdf |
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Engineering::Chemical engineering Lateral Flow Immunoassay Quantum Dots Fang, Bolong Xiong, Qirong Duan, Hongwei Xiong, Yonghua Lai, Weihua Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay |
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Lateral flow immunoassay (LFIA), a prominent rapid detection technology, has been widespreadly exploited in the areas of food safety, environmental monitoring, and clinical diagnosis. Nevertheless, a notable restriction of the conventional gold nanoparticles (AuNPs)-based LFIA lies in relatively low sensitivity considering insufficient brightness. Generally, fluorescent LFIA (FLFIA) in which quantum dots (QDs) are deemed as one of the most commonly used signal labels shows higher sensitivity than the conventional AuNPs-based one because of their excellent luminescent properties. In this review, we systematically and comprehensively summarize the emerging strategies of tailing QDs to promote sensing performance of LFIA, including (i) quantum yield enhancement, (ii) QD loading, (iii) antibody labelling method improvement, (iv) background interference reduction, (v) fluorescence quenching, and (vi) nanoparticle flow rate regulation. Further, we put forward the developing status and future outlook on the QDs-based LFIA, which will drive the potential of biosensing applications. |
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School of Chemical and Biomedical Engineering |
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School of Chemical and Biomedical Engineering Fang, Bolong Xiong, Qirong Duan, Hongwei Xiong, Yonghua Lai, Weihua |
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Article |
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Fang, Bolong Xiong, Qirong Duan, Hongwei Xiong, Yonghua Lai, Weihua |
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Fang, Bolong |
title |
Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay |
title_short |
Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay |
title_full |
Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay |
title_fullStr |
Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay |
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Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay |
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tailored quantum dots for enhancing sensing performance of lateral flow immunoassay |
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2022 |
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https://hdl.handle.net/10356/163058 |
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