智慧农业（中英文）2025，Vol.7Issue(4)：18-30,13.DOI:10.12133/j.smartag.SA202505026
光声光谱技术在农林产品品质评估中的应用研究进展
Application of Photoacoustic Spectroscopy in Quality Assessment of Agricultural and Forestry Products
摘要
Abstract
[Significance]The quality assessment of agricultural and forestry products is a core process in ensuring food safety and en-hancing product competitiveness.Traditional detection methods suffer from drawbacks such as sample destruction,expensive equip-ment,and poor adaptability.As an innovative analytical technique combining optical and acoustic detection principles,photoacoustic spectroscopy technology(PAS)overcomes the limitations of conventional detection techniques that rely on transmitted or reflected op-tical signals through its unique light-thermal-acoustic energy conversion mechanism.With its non-contact,high-sensitivity,and multi-form adaptability characteristics,PAS has been increasingly applied in the quality assessment of agricultural and forestry products in recent years,providing a new solution for the simultaneous detection of internal and external quality in these products.[Progress]In the specific applications of agricultural and forestry product testing,PAS has demonstrated practical value in multiple aspects.In seed testing,researchers have established quantitative relationship models between photoacoustic signals and seed viability also achieved dynamic assessment of seed health by monitoring respiratory metabolic gases(e.g.,CO2 and ethylene).In fruit and vegetable quality analysis,PAS can capture characteristic substance changes during ripening.In the quality control of grain and oil products,Fourier-transform infrared PAS technology has been successfully applied to the rapid detection of protein content in wheat flour and aflatoxin in corn.In food safety monitoring,PAS has achieved breakthrough progress in heavy metal residue detection,pesticide residue analy-sis,and food authenticity identification.[Conclusions and Prospects]Despite its evident advantages,PAS technology still faces multiple challenges in practical implementation.Technically,the complex matrix of agricultural and forestry products causes non-uniform gen-eration and propagation of photoacoustic signals,complicating data analysis.And environmental noise interference(e.g.,mechanical vibrations,temperature fluctuations)compromises detection stability,while spectral peak overlap in multi-component systems limits quantitative analysis accuracy.Equipment-wise,current PAS systems remain bulky and costly,primarily due to reliance on imported core components like high-power lasers and precision lock-in amplifiers,severely hindering widespread adoption.Moreover,the ab-sence of standardized photoacoustic databases and universal analytical models restricts the technology's adaptability across diverse ag-ricultural products.Looking forward,PAS development may focus on these key directions.Firstly,multi-technology integration by combining with Raman spectroscopy,near-infrared spectroscopy,and other sensing methods to construct multidimensional data spac-es for enhanced detection specificity.Moreover,miniaturization through developing chip-based detectors via micro-electromechanical technology,replacing conventional solid-state lasers with vertical-cavity surface-emitting lasers(VCSELs),and adopting 3D printing for integrated photoacoustic cell fabrication to significantly reduce system size and cost.Furthermore,intelligent algorithm innovation with incorporating advanced deep learning models like attention mechanisms and transfer learning to improve interpretation of com-plex photoacoustic spectra.As these technical bottlenecks are progressively overcome,PAS is poised to establish a quality monitoring network spanning the entire"field-to-market"chain—from harvesting to processing/storage to distribution—thereby transforming ag-ricultural quality control from traditional sampling-based methods to intelligent,standardized,full-process monitoring.This will pro-vide technical support for food safety assurance and agricultural industry advancement.关键词
光声光谱/光学传感/农林产品品质/无损检测/种子品质/果蔬品质/粮油成分Key words
photoacoustic spectroscopy/optical sensing/quality of agricultural and forestry products/non-destructive detection/seed quality/fruit and vegetable quality/grain and oil composition分类
轻工纺织引用本文复制引用
谢为俊,陈科颖,乔梦梦,吴斌,郭庆,赵茂程..光声光谱技术在农林产品品质评估中的应用研究进展[J].智慧农业（中英文）,2025,7(4):18-30,13.基金项目
国家自然科学基金项目(32402209) （32402209）
农业生物育种国家科技重大专项(2023ZD0405605-01) National Natural Science Foundation of China(32402209) （2023ZD0405605-01）
Biological Breeding-National Science and Technology Major Project(2023ZD0405605-01) （2023ZD0405605-01）
