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Home / Equine Research Bank / Adv Sci (Weinh) / A laser-Engraved Wearable Electrochemical Sensing Patch for ...
Advanced science (Weinheim, Baden-Wurttemberg, Germany)2024; e2310069; doi: 10.1002/advs.202310069

A laser-Engraved Wearable Electrochemical Sensing Patch for Heat Stress Precise Individual Management of Horse.

Abstract: In point-of-care diagnostics, the continuous monitoring of sweat constituents provides a window into individual's physiological state. For species like horses, with abundant sweat glands, sweat composition can serve as an early health indicator. Considering the salience of such metrics in the domain of high-value animal breeding, a sophisticated wearable sensor patch tailored is introduced for the dynamic assessment of equine sweat, offering insights into pH, potassium ion (K), and temperature profiles during episodes of heat stress and under normal physiological conditions. The device integrates a laser-engraved graphene (LEG) sensing electrode array, a non-invasive iontophoretic module for stimulated sweat secretion, an adaptable signal processing unit, and an embedded wireless communication framework. Profiting from an admirable Truth Table capable of logical evaluation, the integrated system enabled the early and timely assessment for heat stress, with high accuracy, stability, and reproducibility. The sensor patch has been calibrated to align with the unique dermal and physiological contours of equine anatomy, thereby augmenting its applicability in practical settings. This real-time analysis tool for equine perspiration stands to revolutionize personalized health management approaches for high-value animals, marking a significant stride in the integration of smart technologies within the agricultural sector.
© 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH.
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Publication Date: 2024-05-10 PubMed ID: 38728620DOI: 10.1002/advs.202310069Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research presents an innovative wearable sensor for continuous monitoring of sweat constituents in horses, which helps to detect early signs of heat stress and under normal physiological conditions with a high degree of accuracy, stability, and reproducibility.

Objective of Study

This study aimed to develop a sophisticated wearable sensor patch specifically tailored for the real-time assessment of horse sweat. The design and functionality of the sensor were optimized to provide valuable insights into the pH, potassium ion (K), and temperature profiles under normal and heated stress conditions.

Research Methodology

  • The patch integrates a laser-engraved graphene (LEG) sensing electrode array. This helps in detecting variations in sweat composition, particularly concerning pH levels and Potassium ion concentration.
  • The sensor also possesses a non-invasive iontophoretic module. This feature facilitates induced sweat secretion in horses, allowing the researchers to study sweat composition in a controlled manner.
  • A critical component of the sensor is its adaptable signal processing unit. This allows for translating physiological data into understandable metrics that can indicate a horse’s health status.
  • The sensor comes with an embedded wireless communication framework. This enables real-time tracking and monitoring of the horse’s health, thus facilitating immediate intervention in case of an identified health issue.

Results

  • The integrated system was found to be adept at early and timely assessment of heat stress. This can immensely benefit horse owners, trainers, and veterinary physicians in managing the health and performance of high-value horses, particularly premium sports and racing horses.
  • The system demonstrates high levels of accuracy, stability, and reproducibility, making it a reliable tool for horse health management.
  • The sensor patch has been customized to sync with the unique physiological attributes of equine anatomy, enhancing its applicability in practical settings.

Conclusive Remarks

In conclusion, this wearable sensor patch for horses has the potential to transform personalized health management for high-value animals. It highlights the increasing integration of smart technologies within livestock farming and the broader agricultural sector, as these can significantly enhance performance, health management, and overall value.

Cite This Article

APA
Pan Y, Su X, Liu Y, Fan P, Li X, Ying Y, Ping J. (2024). A laser-Engraved Wearable Electrochemical Sensing Patch for Heat Stress Precise Individual Management of Horse. Adv Sci (Weinh), e2310069. https://doi.org/10.1002/advs.202310069

Publication

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
ISSN: 2198-3844
NlmUniqueID: 101664569
Country: Germany
Language: English
Pages: e2310069

Researcher Affiliations

Pan, Yuxiang
  • Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China.
  • ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, P. R. China.
Su, Xiaoyu
  • Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China.
  • ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, P. R. China.
Liu, Ying
  • Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China.
  • ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, P. R. China.
Fan, Peidi
  • Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China.
Li, Xunjia
  • Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China.
  • ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, P. R. China.
Ying, Yibin
  • Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China.
  • ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, P. R. China.
Ping, Jianfeng
  • Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China.
  • ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, P. R. China.

Grant Funding

  • Z24C130012 / Natural Science Foundation of Zhejiang Province, China
  • 82302345 / National Natural Science Foundation of China

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