An adsorbent of molecularly imprinted polymer incorporating graphene quantum dots to extract and determine bisphenols in soft drinks and milk

IF 4 2区 农林科学 Q2 CHEMISTRY, APPLIED Journal of Food Composition and Analysis Pub Date : 2024-11-06 DOI:10.1016/j.jfca.2024.106938
Sirintorn Jullakan , Sarawut Khongkla , Opas Bunkoed
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Abstract

A highly selective magnetic composite adsorbent composed of graphene quantum dots (GQDs) and molecularly imprinted polymer (MIP) was fabricated and applied for the extraction and quantification of three bisphenols in soft drink and milk samples. Magnetite nanoparticles incorporated into the MIP enabled the adsorbent to be isolated from the sample solution with a magnet. The extraction efficiency toward target bisphenols was enhanced by the selective recognition sites of the MIP layer and also the abundant adsorption sites in GQDs. In the optimum condition, the composite adsorbent coupled with high-performance liquid chromatography (HPLC) exhibited linearity in the range of 10.0–200.0 µg L−1. The limit of detection was 3.0 µg L−1 while the limit of quantification was 10.0 µg L−1. Applied to determine bisphenols in real samples, the proposed method achieved relative recoveries from 84.3 % to 94.9 % with relative standard deviations (RSDs) of less than 7 %. The proposed method is simple, rapid, efficient and accurate. The adsorbent can be reused for up to four extraction and desorption cycles, thus reducing the cost of analysis.
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含有石墨烯量子点的分子印迹聚合物吸附剂,用于提取和测定软饮料和牛奶中的双酚
制备了一种由石墨烯量子点(GQDs)和分子印迹聚合物(MIP)组成的高选择性磁性复合吸附剂,并将其应用于软饮料和牛奶样品中三种双酚的萃取和定量分析。分子印迹聚合物(MIP)中加入了磁铁矿纳米颗粒,可利用磁铁将吸附剂从样品溶液中分离出来。MIP 层的选择性识别位点和 GQDs 中丰富的吸附位点提高了对目标双酚的萃取效率。在最佳条件下,复合吸附剂与高效液相色谱(HPLC)的线性范围为 10.0-200.0 µg L-1。检测限为 3.0 µg L-1,定量限为 10.0 µg L-1。将该方法用于测定实际样品中的双酚,其相对回收率为 84.3 % 至 94.9 %,相对标准偏差(RSD)小于 7 %。该方法简单、快速、高效、准确。吸附剂可重复使用,最多可进行四次萃取和解吸循环,从而降低了分析成本。
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
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