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超高效液相色谱-串联质谱法测定粉尘中的26种双酚类物质

[Determination of 26 bisphenols in dust by ultra performance liquid chromatography-tandem mass spectrometry].

作者信息

Sun Jia-Lin, Niu Yu-Min, Gao Qun, Zhang Jing, Shao Bing

机构信息

School of Public Health, Capital Medical University, Beijing 100069, China.

Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China.

出版信息

Se Pu. 2023 May 8;41(5):417-425. doi: 10.3724/SP.J.1123.2022.08022.

Abstract

Bisphenol A (BPA) is one of the most widely produced compounds in the world and was listed as a substance of very high concern by the European Chemicals Agency in 2016. Because of its toxicity, many countries and regions, including China, have banned BPA addition in feeding-bottles. And the European Union (EU) has banned BPA use in other food contact materials and thermal paper. Restrictions on BPA have contributed to the widespread use of alternatives. As the toxicity of BPA alternatives continues to be revealed, the alternatives of BPA alternatives are being developing. As the most extensive alternative for BPA, bisphenol S (BPS) was proven to have estrogen-disrupting effects and developmental toxicity of the neuroendocrine system. Therefore, BPS alternatives are used in thermal paper. In this study, alternatives to both BPA and BPS are collectively referred to as bisphenols (BPs). As a pooling matrix of many indoor chemicals, dust is an important pathway for human exposure to BPs. BPA and its alternatives are routinely detected in dust. As BPS alternatives have been detected in recycled paper and sludge, it is also very important to detected in dust. However, common analytical methods for BPs have low sensitivity and contain few BPS alternatives. Therefore, a high-throughput, high-accuracy, and high-sensitivity method must be established for the determination of BPs in dust; this will lay the foundation for subsequent studies on the environmental behavior and exposure risk of BPs. In this study, an ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was developed for the simultaneous determination of 26 variations of BPs in dust. UPLC-MS/MS parameters of the variations were optimized to compare the separation effect and response intensity in different columns and mobile phases. The influence of the extraction solvent and solid phase extraction (SPE) on the extraction efficiency and purification effect of target compounds were optimized by using the isotopic internal standard method, and the 26 variations of BPs in dust was quantitatively analyzed. Finally, the dust samples were extracted by using 3 mL of acetonitrile and 3 mL of a 50% methanol aqueous solution in an ultrasound bath. The combined extract was further purified by using an Oasis HLB cartridge (60 mg/3 mL). The cartridge was then washed with a 40% methanol aqueous solution (0.5 mL) and eluted with methanol (2 mL). The target compounds were separated on a CORTECS UPLC C column (100 mm×2.1 mm, 1.6 μm), with methanol and 1 mmol/L ammonium fluoride solution as mobile phases and a flow rate of 0.3 mL/min. Electrospray ionization (ESI) was applied in the positive, negative, and multiple reaction monitoring (MRM) modes for the mass scan. Under optimized conditions, the linear ranges of the 26 targets behaved well linearly in their respective ranges with correlation coefficients ()>0.999. The limits of detection (LODs) and limits of quantification (LOQs) were assessed using signal-to-noise () ratios of 3 and 10, respectively. The LODs and LOQs of the method were 0.01-0.75 μg/kg and 0.02-2.50 μg/kg, respectively. The accuracy of the method was evaluated by conducting a recovery test at three spiked levels: LOQ, two times the LOQ, and 10 times the LOQ, with the average recoveries ranging from 83.7% to 114.9%. The precision of the method was evaluated by using the relative standard deviation (RSD). The intra-day RSDs and inter-day RSDs were 0.86%-9.79% (=6) and 5.16%-19.5% (=6), respectively. The established method was used to determine 11 dust samples. Fifteen BPs were detected at a detection rate of 9.1%-100.0%. The detection rate for BPA, BPS, bisphenol F (BPF), 4-hydroxy-4'-isopropoxydiphenylsulfone (BPSIP), and diphenyl sulfone (DPS) was 100.0%. BPSIP, 4-allyloxy-4'-hydroxydiphenyl sulfone (BPS-MAE), and bis-(3-allyl-4-hydroxyphenyl) sulfone (TGSA) were first detected in Chinese dust, whereas 4-benzyloxy-4'-hydroxydiphenyl sulfone (BPS-MPE), 4-hydroxybenzoic acid benzyl (PHBB), and DPS were first detected in dust samples worldwide. This method is simple, rapid, and sensitive, and is suitable for the qualitative screening and quantitative analysis of the 26 BPs in dust samples.

摘要

双酚A(BPA)是世界上产量最高的化合物之一,2016年被欧洲化学品管理局列为高度关注物质。因其毒性,包括中国在内的许多国家和地区已禁止在奶瓶中添加BPA。欧盟也已禁止在其他食品接触材料和热敏纸中使用BPA。对BPA的限制促使了替代品的广泛使用。随着BPA替代品的毒性不断被揭示,BPA替代品的替代品也在不断开发。作为BPA应用最为广泛的替代品,双酚S(BPS)被证明具有雌激素干扰效应和神经内分泌系统发育毒性。因此,BPS替代品被应用于热敏纸中。在本研究中,BPA和BPS的替代品统称为双酚类化合物(BPs)。作为多种室内化学物质的汇集基质,灰尘是人类接触BPs的重要途径。在灰尘中经常检测到BPA及其替代品。由于在回收纸和污泥中已检测到BPS替代品,在灰尘中进行检测也非常重要。然而,BPs的常用分析方法灵敏度较低,且检测的BPS替代品种类较少。因此,必须建立一种高通量、高精度和高灵敏度的方法来测定灰尘中的BPs;这将为后续研究BPs的环境行为和暴露风险奠定基础。在本研究中,建立了一种超高效液相色谱-串联质谱(UPLC-MS/MS)方法,用于同时测定灰尘中26种BPs变体。对这些变体的UPLC-MS/MS参数进行了优化,以比较不同色谱柱和流动相中的分离效果和响应强度。采用同位素内标法优化了萃取溶剂和固相萃取(SPE)对目标化合物萃取效率和净化效果的影响,并对灰尘中26种BPs变体进行了定量分析。最后,采用3 mL乙腈和3 mL 50%甲醇水溶液在超声浴中对灰尘样品进行萃取。合并后的萃取液通过Oasis HLB柱(60 mg/3 mL)进一步净化。然后用40%甲醇水溶液(0.5 mL)冲洗柱子,并用甲醇(2 mL)洗脱。目标化合物在CORTECS UPLC C柱(100 mm×2.1 mm,1.6 μm)上分离,以甲醇和1 mmol/L氟化铵溶液为流动相,流速为0.3 mL/min。采用电喷雾电离(ESI)在正、负和多反应监测(MRM)模式下进行质量扫描。在优化条件下,26种目标物在各自范围内线性关系良好,相关系数()>0.999。分别采用信噪比()为3和10来评估检测限(LOD)和定量限(LOQ)。该方法的LOD和LOQ分别为0.01 - 0.75 μg/kg和0.02 - 2.50 μg/kg。通过在三个加标水平(LOQ、两倍LOQ和十倍LOQ)进行回收率试验来评估该方法的准确性,平均回收率为83.7%至114.9%。采用相对标准偏差(RSD)来评估该方法的精密度。日内RSD和日间RSD分别为0.86% - 9.79%(=6)和5.16% - 19.5%(=6)。所建立的方法用于测定11个灰尘样品。检测到15种BPs,检出率为9.1% - 100.0%。BPA、BPS、双酚F(BPF)、4-羟基-4'-异丙氧基二苯砜(BPSIP)和二苯砜(DPS)的检出率为100.0%。BPSIP、4-烯丙氧基-4'-羟基二苯砜(BPS-MAE)和双(3-烯丙基-4-羟基苯基)砜(TGSA)首次在中国灰尘中被检测到,而4-苄氧基-4'-羟基二苯砜(BPS-MPE)、4-羟基苯甲酸苄酯(PHBB)和DPS首次在全球灰尘样品中被检测到。该方法简便、快速、灵敏,适用于灰尘样品中26种BPs的定性筛选和定量分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c3d/10122761/ca2bdb4d3bf0/img_1.jpg

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