期刊
ADVANCED MATERIALS
卷 33, 期 1, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202006444
关键词
flexible sensors; nutritional assessment; sweat sensors; wearable electronics
类别
资金
- National Science Foundation (NSF) Nanomanufacturing Systems for Mobile Computing and Mobile Energy Technologies (NASCENT)
- Berkeley Sensor and Actuator Center (BSAC)
- Bakar fellowship
- Hong Kong Innovation Technology Commission [ITS/115/18]
- Shenzhen Science and Technology Innovation Commission [JCYJ20180306174923335]
A wearable sensor has been developed to selectively measure vitamin C concentration in biofluids using an electrochemical sensor with wide detection linearity, high selectivity, and long-term stability. The effects of vitamin C intake on sweat and urine were explored, showing that sweat and urine analysis could be promising methods for monitoring nutrition levels. The sensor has the potential to facilitate applications such as nutritional screening and dietary intervention.
Nutrients are essential for the healthy development and proper maintenance of body functions in humans. For adequate nourishment, it is important to keep track of nutrients level in the body, apart from consuming sufficient nutrition that is in line with dietary guidelines. Sweat, which contains rich chemical information, is an attractive biofluid for routine non-invasive assessment of nutrient levels. Herein, a wearable sensor that can selectively measure vitamin C concentration in biofluids, including sweat, urine, and blood is developed. Detection through an electrochemical sensor modified with Au nanostructures, LiClO4-doped conductive polymer, and an enzymes-immobilized membrane is utilized to achieve wide detection linearity, high selectivity, and long-term stability. The sensor allows monitoring of temporal changes in vitamin C levels. The effect of vitamin C intake on the sweat and urine profile is explored by monitoring concentration changes upon consuming different amounts of vitamin C. A longitudinal study of sweat's and urine's vitamin C correlation with blood is performed on two individuals. The results suggest that sweat and urine analysis can be a promising method to routinely monitor nutrition through the sweat sensor and that this sensor can facilitate applications such as nutritional screening and dietary intervention.
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