植物源农产品品质与产地环境关系密切，极易受到原产地的土壤、气候、水源等特殊地理因素的影响。我国农业区划多样，区域特色农产品资源丰富，但由于特征标志参数不清晰、理化等指标阈值匮乏、身份化及标识化基础工作薄弱等原因，目前许多特色、优质农产品产业化发展水平有待提高，产业链和价值链延伸不充分。产地溯源已成为产区分类分级并保护优质特色农产品的重要技术支撑之一。该文阐述了农产品产地溯源的概念和意义，归纳分析了近红外光谱法、有机组分分析法、矿物元素指纹图谱法、稳定同位素分析法、智能感官系统、分子生物学及代谢组学分析等产地溯源技术的优缺点，总结了产地溯源中常用的化学计量学手段，并综述了近年来这些溯源技术在农产品产地识别方面的应用进展，以期为助推区域农产品的优质向好发展提供一定的借鉴。

The quality of plant-based agricultural products is closely related to the production environment, and is highly susceptible to special geographical factors such as soil, climate, and water sources in the production area. China has diverse agricultural divisions and abundant regional characteristic agricultural product resources. However, due to unclear characteristic markers, lack of physical and chemical indicator thresholds, and weak identification and identity foundation work, the industrialization development level of many characteristic agricultural products is generally not high, and the extension of the industrial chain and value chain is not sufficient. Origin tracing has become one of the important technical supports for classifying and grading production areas and protecting high-quality or distinctive agricultural products. This article elaborates on the concept and significance of origin traceability for agricultural products, and summarizes the advantages and disadvantages of origin traceability technologies such as near-infrared spectroscopy, organic component analysis, mineral element fingerprinting, stable isotope analysis, intelligent sensory systems, molecular biology, and metabolomics analysis, as well as the commonly used chemometric methods in origin tracing. The recent application progress of these origin traceability technologies in identifying the origin of agricultural products was also summarized and analyzed, in order to provide some reference for promoting the high-quality development of regional agricultural products.

辽宁省自然科学基金计划（2024-BS-293）；辽宁省农业科学院院长基金项目（2024BS1003）；中国博士后科学基金面上项目（2024M751276）