减肥食药产品非法添加物检测方法的研究进展
Advances in Detection Methods for Illegally Added Substances in Weight Loss Food and Drug Products
摘要: 随着肥胖问题日益严峻,减肥类食品与药品市场需求持续增长。然而,部分不法商家为追求速效,在宣称“纯天然”的减肥产品中非法添加化学药物,严重威胁消费者健康与用药安全。传统检测方法虽准确可靠,但普遍存在前处理复杂、检测周期长、仪器昂贵等问题,难以满足大批量样品的现场快速筛查需求。近年来,各类新型检测技术不断涌现,涵盖光谱分析、色谱–质谱联用、电化学传感、免疫分析等多个领域,在检测灵敏度、分析速度、操作便捷性等方面各具优势。本文系统综述了减肥类产品中非法添加物的检测方法研究进展,重点分析了近红外光谱、拉曼光谱、薄层色谱、高效液相色谱–质谱联用、表面增强拉曼散射、免疫层析等技术的特点与应用现状,通过对比不同方法的检测限、分析时间、适用场景等关键指标,总结了各类方法的优势与局限性,并探讨了当前研究面临的主要挑战与未来发展方向,以期为减肥产品非法添加物的快速筛查与准确确证提供技术参考。
Abstract: With the escalating obesity problem, the market demand for weight loss foods and pharmaceutical products continues to grow. However, some unscrupulous manufacturers illegally add chemical drugs to products claiming to be “all-natural” in pursuit of rapid efficacy, posing serious threats to consumer health and medication safety. Although traditional detection methods are accurate and reliable, they generally suffer from issues such as complex pretreatment, long analysis cycles, and expensive instrumentation, making it difficult to meet the demands for on-site rapid screening of large sample batches. In recent years, various novel detection technologies have emerged, covering multiple fields including spectroscopic analysis, chromatography-mass spectrometry, electrochemical sensing, and immunoassays, each offering distinct advantages in detection sensitivity, analysis speed, and operational convenience. This review systematically summarizes the research progress in detection methods for illegally added substances in weight loss products. It focuses on analyzing the characteristics and application status of technologies such as near-infrared spectroscopy, Raman spectroscopy, thin-layer chromatography, high-performance liquid chromatography-mass spectrometry, surface-enhanced Raman scattering, and immunochromatography. By comparing key indicators such as detection limits, analysis time, and applicable scenarios across different methods, the advantages and limitations of each approach are summarized. The major challenges facing current research and future development directions are also discussed, aiming to provide technical references for rapid screening and accurate confirmation of illegal additives in weight loss products.
文章引用:谭成, 祁文杰, 何彬霞, 薛智, 曾淼. 减肥食药产品非法添加物检测方法的研究进展[J]. 分析化学进展, 2026, 16(2): 101-109. https://doi.org/10.12677/aac.2026.162012

参考文献

[1] 付金凤, 张佳莉. 2019年常州市减肥类非法添加案件结果分析[J]. 食品安全导刊, 2020(22): 65.
[2] 张璐, 李可强, 朱辉, 等. 减肥类保健食品中非法添加化学药物及检测技术研究进展[J]. 食品安全质量检测学报, 2021, 12(3): 904-913.
[3] 白雪, 李锋武, 李卓, 等. 降糖类中成药和保健食品中非法添加化学药物检测技术的研究进展[J]. 华西药学杂志, 2020, 35(3): 338-341.
[4] 彭梦侠, 陈梓云. 减肥类保健品中呋塞米、酚酞的快速筛查[J]. 食品工业, 2019, 40(9): 217-220.
[5] 彭梦侠, 姚婉清, 陈梓云, 等. 近红外光谱法快速筛查减肥类保健品中的咖啡因[J]. 化学试剂, 2019, 41(4): 388-391.
[6] 吕凌云. 减肥类保健品中非法添加化学药品的快速筛查[J]. 商品与质量, 2021(14): 209.
[7] 陈东洋, 张昊, 冯家力, 等. 高效液相色谱法测定减肥类保健食品中7种功效成分[J]. 实用预防医学, 2020, 27(12): 1457-1459.
[8] 肖之敏, 莫益倩, 廖雯意, 等. 超高效液相色谱-串联质谱法测定减肥类保健食品中3种违法添加的缓泻药成分的含量[J]. 食品安全质量检测学报, 2020, 11(5): 1379-1383.
[9] 吴国萍, 姚一佳, 马睿悦, 等. 表面增强拉曼光谱法鉴别减肥食品中6种违禁药品[J]. 理化检验(化学分册), 2022, 58(12): 1407-1414.
[10] 甘志成, 孙盛, 纪小玲, 等. 拉曼光谱快速检测减肥保健品中非法添加酚酞的研究[J]. 中外食品工业, 2020(13): 46-47.
[11] 黄鹏宇, 张婷, 刘昊阳. 红外光谱结合化学计量学在食品检测中的应用[J]. 化学通报(印刷版), 2025, 88(11): 1151-1163.
[12] 周颖, 李冬云. 近红外光谱技术在保健食品和中成药非法添加化学药物筛查方面的优点及应用发展[J]. 广州化工, 2023, 51(5): 135-138.
[13] 方毅, 聂子轩, 宋博恒, 等. 纳米酶生物传感器在食品安全检测中的应用进展[J]. 现代食品, 2025(14): 142-146.
[14] 刘凤银, 陆曼芝, 梁水源, 等. 酶联免疫法快速检测保健食品中吲哚美辛和阿西美辛[J]. 食品与发酵工业, 2023, 49(13): 266-271.
[15] 王龙健, 陈学国, 杜政达, 等. 减肥类食品和保健品中非法添加成分的研究进展[J]. 中国食品添加剂, 2025, 36(5): 195-202.
[16] 王爱华, 任昕昕, 琚妍妍, 等. 减肥食品中非法添加化学药物现状及检测技术研究进展[J]. 刑事技术, 2019, 44(6): 530-534.
[17] 包文雯. 高效液相色谱法在食品添加剂残留检测中的应用与挑战[J]. 餐饮世界, 2025(18): 115-117.
[18] 程冬, 刘梦媛, 尹菁, 等. 应用液相色谱-质谱联用技术检测非法添加司美格鲁肽等6种GLP-1RA类药物成分[J]. 中国药学杂志, 2026, 61(3): 308-314.
[19] 赵琪, 张珊珊, 张超, 等. 超高效液相色谱串联四级杆飞行时间质谱法测定食品中的酚丁、酚酞及其衍生物[J]. 食品科技, 2024, 49(11): 320-326.
[20] Liu, Y., Feng, F., Wang, X., Du, R., Feng, X. and Zhang, F. (2025) Non-Targeted Screening of Illegal Added Hypoglycemic Drugs and Their Derivatives in Functional Foods Using Characteristic Fragment Ions Scanning Based on Liquid Chromatography-High-Resolution Mass Spectrometry. Journal of Chromatography B, 1251, Article 124432. [Google Scholar] [CrossRef] [PubMed]
[21] 宋辉, 李想, 夏鑫鑫, 等. 气相色谱-质谱联用法检测“上头电子烟”和“加料”烟草中非法添加的依托咪酯[J]. 分析试验室, 2025, 44(2): 258-263.
[22] 刘佳明, 陈立波, 吕维维, 等. 近红外光谱快速鉴别清咽类制剂中3种非法添加化学药物的方法[J]. 食品与药品, 2023, 25(1): 51-57.
[23] 高芳, 鲍蕾. 近红外光谱技术结合化学计量学快速检测蛋黄粉掺假[J]. 食品安全质量检测学报, 2024, 15(24): 42-50.
[24] 吴芳海, 许琨琨, 卢文斌, 等. 表面增强拉曼光谱在保健食品常见非法添加药物成分测定中的应用[J]. 食品安全导刊, 2023(33): 158-160.
[25] 接昭玮, 王之宇, 王继芬, 等. 基于特征融合的减肥药太赫兹时域光谱模式识别[J]. 激光与光电子学进展, 2023, 60(10): 469-477.
[26] 李想, 谭丽丽, 刘吉成, 等. TLC原位拉曼光谱法快速检测减肥类保健食品中非法添加的四种成分[J]. 光谱学与光谱分析, 2018, 38(3): 830-836.
[27] 王耀, 曹金博, 陈曦, 等. 免疫分析技术在“新型瘦肉精”残留检测中的应用[J]. 食品与发酵工业, 2019, 45(6): 231-235.
[28] 谭贵良, 潘子强, 张世伟, 等. 肉眼读取-荧光微球竞争免疫层析法半定量快速检测保健食品中的西布曲明[J]. 食品科学, 2021, 42(8): 313-318.
[29] Shi, L., Wang, L., Li, W. and Guan, J. (2024) Graphene-Modified Electrochemical Analysis System for the Detection of Food-Borne Stimulants Sibutramine in Sports. Journal of Food Measurement and Characterization, 18, 7751-7761. [Google Scholar] [CrossRef