三维荧光结合化学多维校正快速灵敏测定环境水样中的噻菌灵和双酚A

doi:10.3964/j.issn.1000-0593(2021)08-2511-07

摘要
参考文献
相关文章 (15)

全文: PDF (2753 KB)
输出: BibTeX | EndNote (RIS)

摘要：随着经济的高速发展，环境问题正在日益引起人们的广泛关注。在实际生产中，农药和塑化剂长期存在滥用的问题，使其成为最为广泛的环境污染源并对生态环境、食品、人畜等造成严重的危害。针对环境中农药和塑化剂的残留问题，开发一种灵敏、快速的高效检测分析方法，采用三维荧光结合化学计量学方法用于环境水样中噻菌灵（TBZ）与双酚A（BPA）的快速灵敏分析。兼顾了三维荧光分析的灵敏度高、信息丰富及化学多维校正方法“数学分离”的显著优势，仅需要简单的预处理过程即可实现TBZ和BPA的痕量检测。即使分析物之间以及分析物和水样中未知背景干扰之间的光谱存在严重的重叠，基于交替三线性分解（ATLD）算法的二阶校正方法仍能借助其显著的“二阶优势”对其进行解析，并获得可靠的定性定量结果。其中，TBZ在20~200 ng·mL^-1范围内线性关系良好（r=0.9999），而BPA在40~280 ng·mL^-1范围内线性关系良好（r=0.999 1）。TBZ和BPA在两种水样中的平均加标回收率分别为96.3%~99.1%和90.0%~90.8%，且标准偏差均低于7.2%。另外，计算品质因子，如灵敏度（SEN）、选择性（SEL）、检测限（LOD）和定量限（LOQ），评估了该方法的准确性。所得结果均令人满意，表明所提出的方法能够用于环境水样中TBZ和BPA的准确、快速定量分析，为环境中农药和塑化剂的残留问题提供了一种科学有效的监测手段。

关键词：三维荧光；二阶校正；交替三线性分解算法；噻菌灵；双酚A

Abstract：As the economy is making high-speed progress, and environmental issues have raised people’s attention. Long-term abuse of pesticides and plasticizers in the actual production makes them the most pervasive environmental pollution source. Moreover, this issue does severe harm to ecotope, food stuff and human and animal, etc. In this paper, to solve the residual pesticides and plasticizers issue, a fast, sensitive and effective analysis strategy that the three-dimensional fluorescence spectroscopy coupled with the chemometrics-based method was developed for simultaneous determination of thiabendazole (TBZ) and bisphenol A (BPA) in environmental water samples. This analysis strategy gives consider both high sensitivity and abundant information of three-dimensional fluorescence spectroscopy and the significant advantage of “mathematical separation” of the chemical multi-way calibration method. It can achieve the trace analysis for TBZ and BPA only need simple pretreatment. Although the fluorescence spectra of TBZ and BPA overlapped each other and unknown interferences coexisted in the matrices, reliable qualitative and quantitative results were obtained by the proposed method with the help of a significant “second-order advantage”.TBZ had a good linear relationship (r=0.999 9) in range of 20~200 ng·mL^-1, while BPA had good linear relationship (r=0.999 1) in 40~280 ng·mL^-1. In two kinds of environmental water samples, the obtained average recoveries of TBA and BPA were 96.3%～99.1% and 90.0%～90.8%, respectively. Meanwhile, the standard deviations were less than 7.2%. In order to evaluate the performances of the proposed method, the figures of merit such as sensitivity (SEN), selectivity (SEL), the limit of detection (LOD) and limit of quantification (LOQ) were investigated. The satisfactory results indicated that it might be promising as an effective strategy for rapidly and accurately quantifying TBZ and BPA in complex environmental water samples. So this work provides an effective and scientific monitoring tool for pesticides and plasticizers residues.

Key words：Excitation-emission matrix fluorescence; Second-ordercalibration; Alternating trilinear decomposition algorithm; Thiabendazole; Bisphenol A

收稿日期: 2020-07-08 修订日期: 2020-11-29

中图分类号:

X832

基金资助: 国家自然科学基金项目（21775039）资助

通讯作者: 吴海龙 E-mail: hlwu@hnu.edu.cn

作者简介: 孙海博，1998年生，湖南大学化学化工学院本科生 e-mail: 735456088@qq.com

引用本文:

孙海博，吴海龙，陈安祺，孙小东. 三维荧光结合化学多维校正快速灵敏测定环境水样中的噻菌灵和双酚A[J]. 光谱学与光谱分析, 2021, 41(08): 2511-2517.
SUN Hai-bo, WU Hai-long, CHEN An-qi, SUN Xiao-dong. Determination of Thiabendazole and Bisphenol A in Environmental Water Samples Using Excitation-Emission Matrix Fluorescence Coupled With Chemical Multi-Way Calibration Method. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2511-2517.

链接本文:

https://www.gpxygpfx.com/CN/10.3964/j.issn.1000-0593(2021)08-2511-07 或 https://www.gpxygpfx.com/CN/Y2021/V41/I08/2511

[1] Murillo Pulgarin J A, Garcia Bermejo L F, Becedas Rodriguez S. Food Analytical Methods, 2018, 11(2): 394.
[2] Pellegrino Vidal R B, Ibanez G A, Escandar G M. Talanta, 2015, 143: 162.
[3] Manikkam M, Tracey R, Guerrero-Bosagna C, et al. PLOS ONE, 2013, 8(1), e55387.
[4] Li J, Kuang D, Feng Y, et al. Microchimica Acta, 2011, 172(3-4): 379.
[5] Chen Y, Wu H L, Sun X D, et al. Spectrochimica Acta Part A-Molecular and Biomolecular Spectroscopy, 2019, 216: 283.
[6] Liu X, Zhang X, Zhang H, et al. Journal of Chromatographic Science, 2008, 46(7): 596.
[7] Pellegrino Vidal R B, Ibanez G A, Escandar G M. Talanta, 2016, 159: 336.
[8] Arenas R V, Rahman H, Johnson N A. Journal of AOAC International, 1996, 79(2): 579.
[9] Yoshioka N, Akiyama Y, Teranishi K. Journal of Chromatography A, 2004, 1022(1-2): 145.
[10] Zimmers S M, Browne E P, O’Keefe P W, et al. Chemosphere, 2014, 104: 237.
[11] ZHANG Hui, WANG Shu-tao, ZHANG Li-juan, et al（张慧，王书涛，张立娟，等）. Spectroscopy and Spectral Analysis（光谱学与光谱分析）, 2020, 40(2): 506.
[12] OUYANG Yang-zi, WU Hai-long, FANG Huan, et al（欧阳洋子，吴海龙，方焕，等）. Fine Chemical Intermediates（精细化工中间体）, 2019, 49(3): 64.
[13] Wu H L, Shibukawa M, Oguma K. Journal of Chemometrics, 1998, 12(1): 1.
[14] Bahram M, Bro R, Stedmon C, et al. Journal of Chemometrics, 2006, 20(3-4): 99.
[15] Bro R, Kiers H A L. Journal of Chemometrics, 2003, 17(5): 274.
[16] Olivieri A C. Chemical Reviews, 2014, 114(10): 5358.
[17] Reyes-Gallardo E M, Lucena R, Cárdenas S, et al. Microchemical Journal, 2016, 124: 751.
[18] Xu Z, Ding L, Long Y, et al. Analytical Methods, 2011, 3(8): 1737.
[19] O’Mahony J, Moloney M, McCormack M, et al. Journal of Chromatography B, 2013, 931: 164.
[20] Piccirilli G N, Escandar G M. Analyst, 2010, 135(6): 1299.
[21] Pulgarín J A M, Bermejo L F G, Rodríguez S B. Food Analytical Methods, 2018, 11(2): 394.