A microfluidic cathodic photoelectrochemical biosensor chip for the targeted detection of cytokeratin 19 fragments 21-1

被引:34
作者
Feng, Jinhui [1 ]
Wu, Tingting [1 ]
Cheng, Qian [1 ]
Ma, Hongmin [1 ]
Ren, Xiang [1 ]
Wang, Xueying [1 ]
Lee, Jin Yong [2 ]
Wei, Qin [1 ]
Ju, Huangxian [1 ]
机构
[1] Univ Jinan, Collaborat Innovat Ctr Green Chem Mfg & Accurate, Key Lab Interfacial React & Sensing Anal Univ Sha, Sch Chem & Chem Engn, Jinan 250022, Peoples R China
[2] Sungkyunkwan Univ, Dept Chem, Suwon 16419, South Korea
基金
中国国家自然科学基金;
关键词
PHOTOCATALYTIC DEGRADATION; SUPEROXIDE-DISMUTASE; HETEROJUNCTION; EFFICIENCY; JUNCTION; PATHWAY; FACETS;
D O I
10.1039/d0lc01063d
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A microfluidic chip integrated with a microelectrode and a cathodic photoelectrochemical (PEC) biosensor for the ultrasensitive detection of non-small cell lung cancer cytokeratin fragments based on a signal amplification strategy was designed. The mechanism for signal amplification is developed based on the p-n junction of AgI/Bi2Ga4O9, with dissolved O-2 as an electron acceptor to produce the superoxide anion radical (O-2(-)) as the working microelectrode. By combining this with a novel superoxide-dismutase-loaded honeycomb manganese oxide nanostructure (SOD@hMnO(2)) as the co-catalyst signal amplification label, O-2(-) can be catalyzed by SOD via a disproportionation reaction to produce O-2 and H2O2; then, hMnO(2) is able to trigger the decomposition of H2O2 to generate O-2 and H2O. Therefore, the increased O-2 promotes the separation of electron-hole pairs via consuming more electrons, leading to an effective enhancement of the cathodic PEC behavior. Under optimum conditions, with the cytokeratin 19 fragments 21-1 (CYFRA 21-1) as the targeted detection objects, the microfluidic cathodic PEC biosensor chip exhibited excellent linearity from 0.1 pg mL(-1) to 100 ng mL(-1), with a detection limit of 0.026 pg mL(-1) (S/N = 3). The exciting thing that this work offers is a new strategy for the detection of other important cancer biomarkers for disease diagnosis and prognosis.
引用
收藏
页码:378 / 384
页数:7
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