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新型计算机辅助在线富集 HPLC-FLD 分离预测策略在儿童水瓶中双酚同时监测中的应用。

Novel computer-assisted separation prediction strategy for online-enrichment-HPLC-FLD in simultaneous monitoring of bisphenols in children's water bottles.

机构信息

College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Avenue, Nanjing 210023, China.

College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Avenue, Nanjing 210023, China; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing 210023, China; Jiangsu Key Laboratory of Research and Development in Marine Bio-resource Pharmaceutics, Nanjing University of Chinese Medicine, Nanjing 210023, China.

出版信息

Food Chem. 2021 Mar 1;339:127766. doi: 10.1016/j.foodchem.2020.127766. Epub 2020 Aug 19.

DOI:10.1016/j.foodchem.2020.127766
PMID:32866697
Abstract

An on-line enrichment-liquid chromatography-fluorescence detection (LC-FD) method was developed for simultaneous determination of nine bisphenols (BPs). In this process, we predicted the separation based on an in-house developed software allowing for calculating both retention time (t) and half-peak width (W) of the solute by mobile phase fraction (φ) under gradient conditions. The proposed strategy was applied to separation prediction of BPs with high accuracy. Under the optimized conditions, good linearity was obtained with the correlation coefficients (R) ranging from 0.998 to 1.000. The recoveries in spiked samples were 91.3-110.7% with the intra-day and inter-day relative standard deviation ranging 0.4-9.6% and 0.5-10.2%, respectively. The limits of detection and quantification were 0.13-66.7 ng L and 0.40-200 ng L. The developed approach was used to monitor the nine BPs in 28 children's water bottles. The developed method provides an effective way for monitoring bisphenols in other similar matrix.

摘要

建立了一种在线富集-液相色谱-荧光检测(LC-FD)方法,用于同时测定九种双酚(BPs)。在这个过程中,我们基于一个内部开发的软件进行了分离预测,该软件允许在梯度条件下通过流动相分数(φ)计算溶质的保留时间(t)和半峰宽(W)。该策略被应用于 BP 的分离预测,具有很高的准确性。在优化的条件下,获得了良好的线性,相关系数(R)范围从 0.998 到 1.000。在加标样品中的回收率为 91.3-110.7%,日内和日间相对标准偏差分别为 0.4-9.6%和 0.5-10.2%。检测限和定量限分别为 0.13-66.7 ng L 和 0.40-200 ng L。该方法用于监测 28 个儿童水瓶中的九种 BPs。所建立的方法为监测其他类似基质中的双酚类化合物提供了一种有效的方法。

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