Ma Haiyan, Ran Congcong, Li Mengjiao, Gao Jinglin, Wang Xinyu, Zhang Lina, Bian Jing, Li Junmei, Jiang Ye
a Department of Pharmaceutical Analysis, School of Pharmacy , Hebei Medical University , Shijiazhuang , PR China.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2018 Apr;35(4):772-781. doi: 10.1080/19440049.2017.1416182. Epub 2018 Feb 16.
Mycotoxins are potential food pollutants produced by fungi. Among them, aflatoxins (AFs) are the most toxic. Therefore, AFs were selected as models, and a sensitive, simple and green graphene oxide (GO)-based stir bar sorptive extraction (SBSE) method was developed for extraction and determination of AFs with high performance liquid chromatography-laser-induced fluorescence detector (HPLC-LIF). This method improved the sensitivity of AFs detection and solved the deposition difficulty of the direct use of GO as adsorbent. Several parameters including a spiked amount of NaCl, stirring rate, extraction time and desorption time were investigated. Under optimal conditions, the quantitative method had low limits of detection of 2.4-8.0 pg/mL, which were better than some reported AFs analytical methods. The developed method has been applied to soy milk samples with good recoveries ranging from 80.5 to 102.3%. The prepared GO-based SBSE can be used as a sensitive screening technique for detecting AFs in soy milk.
霉菌毒素是由真菌产生的潜在食品污染物。其中，黄曲霉毒素（AFs）毒性最强。因此，选择AFs作为模型，开发了一种灵敏、简单且绿色的基于氧化石墨烯（GO）的搅拌棒吸附萃取（SBSE）方法，用于通过高效液相色谱 - 激光诱导荧光检测器（HPLC - LIF）萃取和测定AFs。该方法提高了AFs检测的灵敏度，解决了直接使用GO作为吸附剂时的沉积难题。研究了包括NaCl加标量、搅拌速率、萃取时间和解吸时间在内的几个参数。在最佳条件下，该定量方法的检测限低至2.4 - 8.0 pg/mL，优于一些已报道的AFs分析方法。所开发的方法已应用于豆浆样品，回收率良好，范围为80.5%至102.3%。制备的基于GO的SBSE可作为检测豆浆中AFs的灵敏筛选技术。
