Citation: Dongfang Han, Xiaolei Li, Zhishan Liang, Bolin Zhao, Zhifang Wu, Fangjie Han, Dongxue Han, Li Niu. Label-free photoelectric sensor for lactic acid determination in human sweat[J]. Chinese Chemical Letters, ;2023, 34(4): 107722. doi: 10.1016/j.cclet.2022.08.002 shu

Label-free photoelectric sensor for lactic acid determination in human sweat

Dongfang Han ^a ,
Xiaolei Li ^c ,
Zhishan Liang ^a ,
Bolin Zhao ^a ,
Zhifang Wu ^a ,
Fangjie Han ^a ,
Dongxue Han ^{a, b, *,} ,
Li Niu ^{a, *,}

a.
Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China
b.
Guangdong Provincial Key Laboratory of Psychoactive Substances Monitoring and Safety, Anti-Drug Technology Center of Guangdong Province, Guangzhou 510230, China
c.
State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China

dxhan@gzhu.edu.cn

lniu@gzhu.edu.cn

Received Date: 19 April 2022
Revised Date: 21 July 2022
Accepted Date: 2 August 2022
Available Online: 3 August 2022

Figures(4)

A label-free lactic acid sensor has been successfully developed by using a Dysprosium single crystal-based photoelectric potential technique via Dy-SCN/FTO electrode. Interestingly, the proposed sensor demonstrated excellent performance for L-lactic acid analysis with a wide linear range of 0.0196~16.31 mmol/L, the detection limit of as low as 3.20 µmol/L as well as an advisable stability. The feasibility of this strategy was also verified by practical application towards human sweat samples. The mechanism studies indicated that lactic acid molecules specifically bind to the surface of semiconductor materials, which alters the charge distribution of the electrode surface and subsequently results in band bending/photoelectric potential changes. The theoretical formula for this photoelectric chemistry (PEC) strategy was then derived according to charge balance theory. We believe that the proposed Dy-SCN/FTO sensor would open a new way for rapid, non-invasive L-lactic acid level evaluation during human physical condition monitoring.
- L-lactic acid,
- Sweat,
- Photo-potential,
- Nonenzymatic,
- Selectivity
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