A Novel Smart Hydrogel Strain Sensor for Efficient and Quantitative Detection of Blood Potassium Concentration with a Drop of Serum

Abstract Quantitative detection of potassium ion (K + ) concentration in serum is of great significance for clinical diagnosis and management. Although various methods are developed for quantitative detection of serum K + concentration, the existed techniques often fall short in the realization of rapid detection with small volume of serum sample. Here, a novel smart hydrogel strain sensor that combines poly( N ‐isopropylacrylamide‐ co ‐benzo‐15‐crown‐5‐acrylamide) (PNB) hydrogel and resistance strain gauge is developed for efficient and quantitative detection of serum K + concentration by converting and amplifying biochemical signals into easily measurable strain variations. By rationally regulating PNB hydrogels crosslinked with Laponite XLG nanosheets, the detection of serum K + concentration with PNB hydrogel strain sensors can be rapidly achieved with 2 min. Because the strain sensors with sensitive transformation enables the measurement of extremely slight deformation of hydrogels, only one drop of 16 µL serum is required to achieve efficient and quantitative detection of blood K + concentration with PNB hydrogel strain sensors. The PNB hydrogel strain sensors exhibit exceptional interference resistance and repeated detection performances. The proposed strategy not only offers a novel method for efficient and quantitative detection of blood K + concentrations, but also opens up a new window for developing novel detection methods for various applications.

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Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-03-27
DOI
https://doi.org/10.1002/adfm.202504004
Citations
4
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.70

Funders

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article

A Novel Smart Hydrogel Strain Sensor for Efficient and Quantitative Detection of Blood Potassium Concentration with a Drop of Serum

Liang‐Yin Chu, Rui Xie, Jun Yao, Xiao‐Jie Ju et al.
4 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
2.70
article

A Novel Smart Hydrogel Strain Sensor for Efficient and Quantitative Detection of Blood Potassium Concentration with a Drop of Serum

Liang‐Yin Chu, Rui Xie, Jun Yao, Xiao‐Jie Ju, Wei Wang, Zhuang Liu, Dawei Pan, Xue Zhang, Han Fu, Y Xia
article en
4 citations

Abstract

Abstract Quantitative detection of potassium ion (K + ) concentration in serum is of great significance for clinical diagnosis and management. Although various methods are developed for quantitative detection of serum K + concentration, the existed techniques often fall short in the realization of rapid detection with small volume of serum sample. Here, a novel smart hydrogel strain sensor that combines poly( N ‐isopropylacrylamide‐ co ‐benzo‐15‐crown‐5‐acrylamide) (PNB) hydrogel and resistance strain gauge is developed for efficient and quantitative detection of serum K + concentration by converting and amplifying biochemical signals into easily measurable strain variations. By rationally regulating PNB hydrogels crosslinked with Laponite XLG nanosheets, the detection of serum K + concentration with PNB hydrogel strain sensors can be rapidly achieved with 2 min. Because the strain sensors with sensitive transformation enables the measurement of extremely slight deformation of hydrogels, only one drop of 16 µL serum is required to achieve efficient and quantitative detection of blood K + concentration with PNB hydrogel strain sensors. The PNB hydrogel strain sensors exhibit exceptional interference resistance and repeated detection performances. The proposed strategy not only offers a novel method for efficient and quantitative detection of blood K + concentrations, but also opens up a new window for developing novel detection methods for various applications.

Advanced Functional MaterialsVol. 35(35)
Sichuan University (CN)
National Natural Science Foundation of China, Sichuan University
Openalex Percentile: Top 11%
Advanced Sensor and Energy Harvesting Materials
2.70
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