Key Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, College of Chemistry and Environmental Science, Hebei University, Baoding 071002, China.
Key Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, College of Chemistry and Environmental Science, Hebei University, Baoding 071002, China; Key Laboratory of Analytical Science and Technology of Hebei Province, Institute of Life Science and Green Development, Hebei University, Baoding 071002, China.
Food Chem. 2021 Jul 1;349:128982. doi: 10.1016/j.foodchem.2020.128982. Epub 2021 Jan 6.
This paper reports a selective, sensitive, and miniaturized analytical method based on a molecularly imprinted graphene oxide (MIP-GO) composite as adsorbent for miniaturized tip solid-phase extraction (MTSPE) to determine naphthalene-derived plant growth regulators (PGRs) in apples. The proposed method combines the advantages of MIP-GOs (high selectivity), MTSPE (low consumption), and high-performance liquid chromatography-fluorescence detection (high sensitivity). Under optimized conditions, the method exhibited appreciable linearity (2.00-200 ng/g), low detection limits (0.21-0.53 ng/g), high accuracy (absolute recoveries: 87.6-99.5%), and high precision (relative standard deviations ≤ 3.0%), along with low consumption (0.5 mL sample solution and 2.0 mg adsorbent). In addition, the adsorption performance of the MIP-GO adsorbent did not decrease over ten months, highlighting the long storage and operational lifetime of the adsorbent. The proposed method was employed for the analysis of naphthalene-derived PGR residues in apples and exhibited promising potential for application in food safety analysis.
本文报道了一种基于分子印迹氧化石墨烯(MIP-GO)复合材料作为吸附剂的选择性、灵敏、微型化分析方法,用于微型针尖固相萃取(MTSPE),以测定苹果中的萘衍生植物生长调节剂(PGRs)。该方法结合了 MIP-GOs(高选择性)、MTSPE(低消耗)和高效液相色谱-荧光检测(高灵敏度)的优点。在优化条件下,该方法表现出良好的线性(2.00-200ng/g)、低检测限(0.21-0.53ng/g)、高准确度(绝对回收率:87.6-99.5%)和高精密度(相对标准偏差≤3.0%),同时消耗低(0.5mL 样品溶液和 2.0mg 吸附剂)。此外,MIP-GO 吸附剂的吸附性能在十个月内没有下降,突出了吸附剂的长储存和操作寿命。该方法用于分析苹果中的萘衍生 PGR 残留,在食品安全分析中具有广阔的应用前景。