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pH-Based immunoassay: explosive generation of hydrogen ions through an immuno-triggered nucleic acid exponential amplification reaction.
Mao, Dongsheng; Chen, Tianshu; Chen, Huinan; Zhou, Mengru; Zhai, Xingwei; Chen, Guifang; Zhu, Xiaoli.
Afiliação
  • Mao D; Center for Molecular Recognition and Biosensing, School of Life Sciences, Shanghai University, Shanghai 200444, China. gfchen@shu.edu.cn xiaolizhu@shu.edu.cn.
Analyst ; 144(13): 4060-4065, 2019 Jul 07.
Article em En | MEDLINE | ID: mdl-31165121
ABSTRACT
In this work, we propose a novel concept and a proof-of-concept strategy for the fabrication of a pH-based immunoassay platform with a certain degree of universality and scalability to make it adaptable for different application scenarios. The immunoreactions for the target detection are converted to pH changes through an engineered and optimized isothermal nucleic acid amplification, named exponential amplification reaction (EXPAR). Thus, a variety of well-developed methods for pH analysis, e.g. pH indicators, pH-strips and pH meters, can be applied for immunoassay directly. Here, we show that this proof-of-concept strategy is applicable for both macromolecular and micromolecular antigens by adopting human platelet-derived growth factor-BB (PDGF-BB) and chloramphenicol (CAP) as the model targets, respectively. The detection can be achieved using a colorimetric pH indicator after a 15 min reaction of the immuno-triggered isothermal nucleic acid amplification. In addition, compared with the traditional enzyme-linked immunosorbent assay (ELISA), the performance of our strategy, especially the detection limits, is improved to varying degrees for different targets, making the strategy a promising alternative for diverse application scenarios of immunoassay.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Analyst Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Analyst Ano de publicação: 2019 Tipo de documento: Article