Feng Huanhuan, Fu Yifan, Huang Shihao, Glamuzina Branko, Zhang Xiaoshuan
China Agricultural University, Beijing, 100083, China.
Department of Mechanical and Mechatronic Engineering, National Taiwan Ocean University, Keelung, 202-24, China's Taiwan region, China.
Biosens Bioelectron. 2023 May 15;228:115211. doi: 10.1016/j.bios.2023.115211. Epub 2023 Mar 8.
Fish health/quality issues are increasingly attracting attention during waterless and low-temperature transportation. Nondestructive detection has become a great need for an effective method to improve fish health/quality. Currently, emerging Internet of Things, novel flexible electronics and data fusion technology have received great interest for nondestructive detection on live fish health/quality. This paper analysized nondestructive detection mechanisms using novel flexible sensing technology to achieve high-precision sensing of key parameters, and machine learning based data fusion modeling to achieve live fish health/quality nondestructive evaluation during waterless and low-temperature transportation. Recent studies on novel flexible electrochemical and physiological biosensors development and application for solving key ambient and physiological parameter sensing were summarized. The ML based data fusion modeling framework and application for live fish health/quality nondestructive evaluation was also highlighted. The future perspective is also proposed to provide promising solutions for accurate sensing of multi-parameter and real applications of live fish health/quality nondestructive detection during waterless and low-temperature transportation.
在无水和低温运输过程中，鱼类健康/质量问题日益受到关注。无损检测已成为一种迫切需求，需要一种有效的方法来改善鱼类健康/质量。目前，新兴的物联网、新型柔性电子技术和数据融合技术在活鱼健康/质量的无损检测方面受到了极大关注。本文分析了利用新型柔性传感技术实现关键参数高精度传感的无损检测机制，以及基于机器学习的数据融合建模，以实现无水和低温运输过程中活鱼健康/质量的无损评估。总结了近期关于新型柔性电化学和生理生物传感器开发及应用以解决关键环境和生理参数传感问题的研究。还重点介绍了基于机器学习的数据融合建模框架及其在活鱼健康/质量无损评估中的应用。同时提出了未来展望，为无水和低温运输过程中活鱼健康/质量无损检测的多参数精确传感及实际应用提供有前景的解决方案。
