Target-regulated photoactivities of CdS/Ni-MOF heterojunction with [Ru(bpy) 2 dppz] 2+ intercalator: a bisphenol A photoelectrochemical aptasensor.
Aisyah Protonia TanjungKe YinLei ZhaoJiang-Zhou WuAi-Jun WangLi-Ping MeiPei SongJiu-Ju FengPublished in: Mikrochimica acta (2024)
Bisphenol A (BPA), an important endocrine disrupting compound, has infiltrated human daily lives through electronic devices, food containers, and children's toys. Developing of novel BPA assay methods with high sensitivity holds tremendous importance in valuing the pollution state. Here, we constructed an ultrasensitive photoelectrochemical (PEC) aptasensor for BPA determination by regulating photoactivities of CdS/Ni-based metal-organic framework (CdS/Ni-MOF) with [Ru(bpy) 2 dppz] 2+ sensitizer. CdS/Ni-MOF spheres exhibited excellent photocatalytic performance, serving as a potential sensing platform for the construction of target recognition process. [Ru(bpy) 2 dppz] 2+ were embedded into DNA double-stranded structure, functioning as sensitizer for modulating the signal response of the developed PEC aptasensor. The proposed PEC sensor exhibited outstanding analytical performances, including a wide linear range (0.1 to 1000.0 nM), low detection limit (0.026 nM, at 3σ/m), excellent selectivity, and high stability. This work provides a perspective for the design of ideal photosensitive materials and signal amplification strategies and extends their application in environment analysis.
Keyphrases
- metal organic framework
- quantum dots
- energy transfer
- sensitive detection
- label free
- visible light
- human health
- high throughput
- nucleic acid
- photodynamic therapy
- endothelial cells
- loop mediated isothermal amplification
- heavy metals
- young adults
- circulating tumor
- signaling pathway
- physical activity
- binding protein
- transcription factor
- particulate matter
- mass spectrometry
- cell free
- health risk assessment
- reduced graphene oxide
- highly efficient
- simultaneous determination
- air pollution
- high resolution
- data analysis