食品科学 ›› 2023, Vol. 44 ›› Issue (19): 239-258.doi: 10.7506/spkx1002-6630-20220803-041

• 专题论述 • 上一篇    

混合模式吸附剂在食品安全分析样品前处理中的应用

任雪,王轻,张彦青   

  1. (天津商业大学生物技术与食品科学学院,天津 300134)
  • 发布日期:2023-11-07
  • 基金资助:
    国家自然科学基金青年科学基金项目(32001774);天津市“131”创新型人才团队项目(201927)

Application of Mixed-Mode Adsorbents in Sample Pretreatment for Food Safety Analysis

REN Xue, WANG Qing, ZHANG Yanqing   

  1. (School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300134, China)
  • Published:2023-11-07

摘要: 随着食品行业的迅速发展,人们对食品安全的关注度也不断提高,因此,发展快速、便捷、精确的食品分析检测技术尤为重要。在食品安全分析中,由于基质成分复杂且目标物的浓度很低,为了达到良好的萃取效果,选择合适的样品前处理方法和萃取吸附剂至关重要。混合模式吸附剂可与同类目标物同时发生两种或两种以上的相互作用,或可以同时与性质不同的多目标组分发生相互作用,相比于单一模式吸附剂,可以起到提高对目标分析物选择性和吸附容量的效果。因此,本文对混合模式吸附剂的分类、特点及在食品分析领域中的应用进行综述,以期为混合模式吸附剂的选择、制备及应用提供参考,并促进混合模式吸附剂在食品分析领域中的发展。

关键词: 混合模式吸附剂;食品安全分析;样品前处理;多类多组分分析;应用

Abstract: With the rapid development of the food industry and the growing concerns about food safety, it is particularly significant to develop fast, convenient and accurate techniques for food analysis and testing. In the analysis of food safety, due to the complex matrix composition and the low concentration of the target compounds, selecting the appropriate sample pretreatment method and extraction adsorbent is important for achieving good extraction efficiency. Two or more interactions of mixed-mode adsorbents with target compounds of the same type can occur simultaneously, and mixed-mode adsorbents can also interact with multiple target components with different properties simultaneously, resulting in increased adsorption selectivity and capacity compared to single-mode adsorbents. Hence, in this article, the classification, characteristics and application of mixed-mode adsorbents in the field of food analysis are reviewed with the purpose of providing a reference for researchers in the selection, preparation and application of mixed-mode adsorbents and of boosting the development of mixed-mode adsorbents in the field of food analysis.

Key words: mixed-mode adsorbents; food safety analysis; sample pretreatment; multi-class and multi-target analysis; application

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