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A smartphone-powered photoelectrochemical POCT via Z-scheme Cu2O/Cu3SnS4 for dibutyl phthalate in the environmental and food

Journal of Hazardous Materials 2023 33 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Xiaohong Chen, Wenqin Wu, Jing Zeng, Elena Ibáñez, Alejandro Cifuentes, Jin Mao, Yu Li, Huimin Wu, Peiwu Li, Zhaowei Zhang, Zhaowei Zhang

Summary

Researchers developed a smartphone-powered photoelectrochemical sensor for detecting dibutyl phthalate, a hazardous additive released from microplastics and nanoplastics, in environmental water and food samples. The sensor achieved a detection limit of 7.94 pg/mL with excellent stability and selectivity, providing a practical portable tool for monitoring this plasticizer contaminant in real-world settings.

Body Systems

As a major hazardous additive released from microplastics and nanoplastics, identifying dibutyl phthalate (DBP) in complex matrices attracts a growing concern in environmental monitoring and food safety. For the first time, CuO/CuSnS nanoflower is prepared and serves as the photoactive material which can be constructed as a smartphone-based photoelectrochemical (PEC) point-of-care test (POCT). Effectively matching energy levels between CuO and CuSnS accelerated the transfer of photogenerated electron-hole pairs, significantly improving the intelligent PEC POCT performance. The novel CuO/CuSnS has proven to be the Z-scheme heterojunction by density functional theory calculation. A competitive immunoassay has been realized on a CuO/CuSnS modified electrode, dramatically decreasing the photocurrent signal and enhancing POCT sensitivity. The smartphone has been used to record and transfer PEC results. Under optimal conditions, the PEC POCT exhibited a satisfying linear range (0.04-400 ng/mL) and a low detection limit of 7.94 pg/mL in real samples, together with excellent stability, repeatability, reproducibility and selectivity. The PEC POCT system provides good performance and practicability in determining DBP in water and edible oil samples. This proposal provides a practical strategy for the intelligent POCT for environment monitoring and food safety.

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