食品与发酵工业 >

2023 , Vol. 49 >Issue 16: 291 - 297

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.033500

分析与检测

基于优化的高效液相色谱法测定蜜饯中七种人工合成色素及风险分析

  • 肖杰 ,
  • 苏明 ,
  • 钟宇思 ,
  • 王咏麟 ,
  • 李玉宝
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  • (四川省轻工业研究设计院有限公司,四川 成都,610081)
第一作者:学士,工程师(李玉宝工程师为通信作者,E-mail:scqgyxj@163.com)

收稿日期: 2022-09-01

  修回日期: 2022-10-13

  网络出版日期: 2023-09-12

基金资助

四川省科技项目 (2021JDR0111)

收起

Determination of 7 kinds of synthetic colorants in preserved fruits by optimized high-performance liquid chromatography and risk analysis

  • XIAO Jie ,
  • SU Ming ,
  • ZHONG Yusi ,
  • WANG Yonglin ,
  • LI Yubao
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  • (Sichuan Light Industry Research and Design Institute Co.Ltd., Chengdu 610081, China)

Received date: 2022-09-01

  Revised date: 2022-10-13

  Online published: 2023-09-12

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摘要

该研究建立了一种优化的高效液相色谱分析方法,实现对蜜饯类食品中7种人工合成色素的高效检测,并评估蜜饯类食品中人工合成色素违规添加的风险。样品可食用部分经破壁机破碎后,首先用乙醇/氨水碱性混合溶液于60 ℃水浴下超声提取,然后基于聚酰胺固相萃取柱法进行净化,最后在可见光区固定单波长下(428 nm)上机检测。研究表明,7种人工合成色素的检出限均为0.2 mg/kg,在0.1~50 μg/mL浓度内具有良好的线性关系,相关系数均在0.999 0以上,平均回收率介于82.1%~96.6%,相对标准偏差(relative standard deviation, RSD)为3.71%~8.35%。该方法具有准确度和灵敏度高、操作简单、普适性强等特性,适用于大批量蜜饯样品中多种人工合成色素的高效检测。利用该方法对市售多批次蜜饯类样品进行检测,发现蜜饯中人工合成色素如柠檬黄、苋菜红、胭脂红、日落黄的检出率较高,且依然存在超限量添加的现象,加强市场监管可有效确保蜜饯类食品安全,进而为人体健康保驾护航。

关键词： 蜜饯; 人工合成色素; 高效液相色谱法; 方法优化; 高效检测; 风险评估

本文引用格式

肖杰 , 苏明 , 钟宇思 , 王咏麟 , 李玉宝 . 基于优化的高效液相色谱法测定蜜饯中七种人工合成色素及风险分析[J]. 食品与发酵工业, 2023 , 49(16) : 291 -297 . DOI: 10.13995/j.cnki.11-1802/ts.033500

Abstract

This work proposed an optimized high-performance liquid chromatography (HPLC) method for the efficient detection of 7 kinds of synthetic colorants in preserved fruits, and further analyzed the risk of their illegal addition. The edible parts of the sample were smashed. Synthetic colorants were extracted by ultrasound with ethanol/ammonia alkaline solution in a water bath at 60 ℃. Then, they were purified with a polyamide solid phase extraction technique and detected at a fixed single wavelength of 428 nm. The detection limits for 7 kinds of synthetic colorants were both 0.2 mg/kg, and their correlation coefficients were above 0.999 0 in the range of 0.1-50 μg/mL. The average recoveries were between 82.1%-96.6% and the relative standard deviations (RSD) were between 3.71%-8.35%. This proposed method had the advantages of high accuracy and sensitivity, simple operation, and strong universality, which was suitable for the efficient large-batch detection of various synthetic colorants in preserved fruits. Based on these, this method was used to detect many batches of commercially preserved fruit samples. Results showed that synthetic colorants such as tartrazine, amaranth, carmine, and sunset yellow, were detected frequently, and illegal addition behaviors still could be observed. Notably, market supervision should be strengthened for the food safety of preserved fruits and the protection of human health.

Key words： preserved fruits; synthetic colorants; high-performance liquid chromatography; method optimization; efficient detection; risk evaluation

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