Chinese Journal of Animal Nutrition >
Research Progress on Application of Electrochemical Sensing Technology in Silage Quality Analysis
Received date: 2026-01-20
Online published: 2026-09-12
Silage serves as the primary nutrient source for ruminants, with its quality closely linked to animal performance and health. The formation and storage of silage involve complex microbial community succession, substrate conversion, and dynamic accumulation of metabolites, resulting in significant dynamic, phased, and complex matrix characteristics in quality control. While traditional analytical methods for analyzing silage quality offer high accuracy under laboratory conditions, they generally suffer from long turnaround times, cumbersome sample preparation, reliance on large-scale instrumentation and specialized personnel, and limitations in achieving rapid on-site detection and continuous in-situ monitoring. These shortcomings make them inadequate for meeting modern livestock industry demands for “rapid, dynamic and precise” silage quality control. Electrochemical sensing technology offers a novel technical pathway for silage quality analysis, leveraging advantages such as high sensitivity, rapid response, ease of operation, relatively low cost, and suitability for miniaturization and system integration. This review summarizes research progress in silage fermentation monitoring, key product analysis, and nutritional evaluation using this technology, while analyzing the applicability of different sensing strategies in complex matrices. Research indicates significant potential for electrochemical sensing in in-situ pH monitoring and rapid analysis of select fermentation products. This holds substantial application value for optimizing fermentation processes, predicting spoilage, enhancing feed utilization efficiency, and safeguarding animal health. However, characteristics of silage matrix, including low pH, high solids, high crude fiber and non-specific adsorption, pose severe challenges to sensor stability and selectivity. Compared to traditional biosensing, bionic recognition strategies with strong environmental tolerance (e.g., molecularly imprinted polymers, nanoenzymes) show greater application potential. Future research should focus on acid-resistant and contamination-tolerant materials, bionic recognition elements, multi-indicator integrated platforms, and machine learning-assisted signal interpretation. This will advance the technology toward multi-parameter dynamic sensing and intelligent early warning, providing more efficient and reliable technical support for silage quality control and precision management in modern animal husbandry.
DU Wenhui , WEN Yangping , QU Mingren , XU Lanjiao . Research Progress on Application of Electrochemical Sensing Technology in Silage Quality Analysis[J]. Chinese Journal of Animal Nutrition, 2026 , 38(9) : 6484 -6493 . DOI: 10.12418/CJAN2026.520
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