Journal
NANOMATERIALS
Volume 12, Issue 17, Pages -Publisher
MDPI
DOI: 10.3390/nano12172977
Keywords
surface-enhanced Raman scattering; metal-phenolic network; sweat; molecular fingerprint; pH
Categories
Funding
- Natural Science Foundation of Guangdong Province [2019A1515012105, 2021A1515011733]
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The biochemical composition of sweat is closely related to the human physiological state, and can be monitored in real-time using the surface-enhanced Raman scattering (SERS) technique. A strategy based on metal-phenolic network (MPN) is established, which allows for ultrasensitive detection of sweat components and pH values.
The biochemical composition of sweat is closely related to the human physiological state, which provides a favorable window for the monitoring of human health status, especially for the athlete. Herein, an ultra-simple strategy based on the surface-enhanced Raman scattering (SERS) technique for sweat analysis is established. Metal-phenolic network (MPN), an outstanding organic-inorganic hybrid material, is adopted as the reductant and platform for the in situ formation of Au-MPN, which displays excellent SERS activity with the limit of detection to 10(-15) M for 4-mercaptobenzoic acid (4-MBA). As an ultrasensitive SERS sensor, Au-MPN is capable of discriminating the molecular fingerprints of sweat components acquired from a volunteer after exercise, such as urea, uric acid, lactic acid, and amino acid. For pH sensing, Au-MPN/4-MBA efficiently presents the pH values of the volunteer's sweat, which can indicate the electrolyte metabolism during exercise. This MPN-based SERS sensing strategy unlocks a new route for the real-time physiological monitoring of human health.
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