{"title":"An adsorbent of molecularly imprinted polymer incorporating graphene quantum dots to extract and determine bisphenols in soft drinks and milk","authors":"Sirintorn Jullakan , Sarawut Khongkla , Opas Bunkoed","doi":"10.1016/j.jfca.2024.106938","DOIUrl":null,"url":null,"abstract":"<div><div>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<sup>−1</sup>. The limit of detection was 3.0 µg L<sup>−1</sup> while the limit of quantification was 10.0 µg L<sup>−1</sup>. 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.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106938"},"PeriodicalIF":4.0000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157524009724","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
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.
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.