生物传感器
生物污染
异质结
前列腺特异性抗原
胶束
材料科学
对偶(语法数字)
信号(编程语言)
DNA
前列腺癌
纳米技术
光电子学
化学
计算机科学
内科学
医学
生物化学
癌症
膜
水溶液
物理化学
艺术
程序设计语言
文学类
作者
Yanli Li,Haibo Huo,Suping Han,Changzhen Deng,W. J. Liu,Fengqi Zhang,Jiajing Xie,Yihan Xu,Ensheng Xu,Qi Zhang,Qingwang Xue,Xia Li
标识
DOI:10.1109/jsen.2024.3430217
摘要
While the potential of photoelectrochemical-fluorescence (PEC-FL) dual-mode sensing platforms has been established, traditional unidirectional signal output mode is prone to signal cross-interference from dissimilar signaling routes and lack inherent error correction. In this study, we introduced a dual-responsive (“SIGNAL-OFF” PEC and “SIGNAL-ON” FL) and antifouling PEC-FL dual-signal biosensor for detecting prostate-specific antigen (PSA) in biofluid samples. Initially, a DNA micelle-based signal converter system resembling a “three-way valve” was constructed through target activation, CRISPR-Cas12a inactivation, and DNA-cholesterol self-assembly. Then, the DNA monomers in DNA micelle were extended by terminal deoxynucleotidyl transferase and hybridized with biotin-DNA on magnetic Fe3O4 to form magnetic copper nanoparticles (Cu NPs) through incubation with copper sulfate and ascorbic acid. A notable increase in fluorescent signal was observed from magnetic Cu NPs. The subsequent lysis treatments of the Cu NPs facilitated the release of numerous Cu $^{{2}+}$ , which interacted with CdS QDs of the 3-D self-supporting TiO2-ZnO@CdS electrode, resulting in the formation of CuS and creation a tailored “SIGNAL-OFF” PEC mode for PSA determination. In our system, the DNA micelle-based signal converter system facilitates the synchronized conversion of PEC and FL signals to enable reciprocal validation. The dual-responsive signals result in robust and quantitative detection with an FL detection limit of $0.613~\text {fg}\cdot \text {mL}^{-{1}}$ and a PEC detection limit of $0.723~\text {fg}\cdot \text {mL}^{-{1}}$ . In addition, this split mode ensures autonomous biological recognition and signal reporting, thereby improving measurement accuracy. The proposed methodology offers the capability to quantify PSA in human serum and pays the way to the simultaneous acquisition of dual signals.
科研通智能强力驱动
Strongly Powered by AbleSci AI