Wang Junxia, Xu Sijie, Sun Yueying, Lei Huihui, Cheng Yuanyuan, Wang Xuedong, Zhang Zhan'en
School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
Jiangsu Key Laboratory for Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
Se Pu. 2024 Jan 8;42(1):64-74. doi: 10.3724/SP.J.1123.2023.04018.
Organophosphorus flame retardants (OPFRs) are widely used in commercial products owing to their exceptional flame-retarding and plasticizing properties. However, OPFRs are also well recognized as emerging persistent organic pollutants (POPs) because of their environmental persistence, biological concentration, and potential toxicity. Thus, the accurate detection of OPFRs in environmental media is critical for analyzing their fate, transport, and ecological risk. However, very few OPFR detection methods are currently available, and the types of OPFRs detected may vary from site to site. In this study, matrix solid-phase dispersion extraction (MSPD), a simple, rapid, and versatile technique for preparing solid, semisolid, liquid, and viscous samples, was combined for the first time with gas chromatography-tandem mass spectrometry (GC-MS/MS) to analyze 10 OPFRs in soil, namely, tripropyl phosphate (TPrP), tri--butyl phosphate (TnBP), tri-iso-butyl phosphate (TiBP), tris(2-chloroisopropyl) phosphate (TCIPP), tris(2-chloroethyl) phosphate (TCEP), tris(1,3-dichloro-2-propyl) phosphate (TDCPP), triphenyl phosphate (TPHP), 2-ethylhexyl diphenyl phosphate (EHDPP), triphenylphosphine oxide (TPPO), and trimethylphenyl phosphate (TCP). The GC-MS/MS system was equipped with a Bruker-5MS capillary column coupled with a triple quadrupole mass spectrometer operated in multiple reaction monitoring (MRM) mode. Prior to detection, a mixed standard solution was fortified with 10 ng ofC-PCB208 as an internal standard. The optimal conditions under which MSPD could achieve high selectivity for OPFRs were determined. In addition, single-factor analysis was used to examine the influence of the sorbent (i. e., C18, PSA, Florisil, GCB, and multiwalled carbon nanotubes (MWCNTs)) as well as the dosage, type, and volume of the eluent on the extraction efficiency of the method for the 10 OPFRs. When GCB and ethyl acetate were used as the adsorbent and solvent, respectively, during elution, high extraction recoveries for the OPFRs were achieved. Optimization via response surface methodology (RSM) was adopted to further analyze the impact of three key factors, namely, the adsorbent dosage, eluent volume, and grinding time, as well as their interactions, on OPFR recoveries. Under the optimal conditions of 0.3 g of GCB as the adsorbent, 10 mL of ethyl acetate as the eluent, and 5 min of grinding time, the relative average recovery of the OPFRs was 87.5%. Furthermore, the 10 OPFRs showed good linear relationships under five concentration gradients, with correlation coefficients greater than 0.998. The limits of detection (LODs) and quantification (LOQs) were calculated as signal-to-noise ratios () of 3 and 10, respectively, and found to be in the ranges of 0.006-0.161 and 0.020-0.531 ng/g, respectively. The performance of the proposed method was verified by determining the recoveries and relative standard deviations (RSDs) of the OPFRs in soils spiked at low, medium, and high levels (10, 20, and 100 ng/g, respectively). The recoveries of the OPFRs ranged from 70.4% to 115.4%, with RSDs ranging from 0.7% to 6.7%. Compared with the conventional accelerated solvent extraction (ASE) method, MSPD presents higher efficiency, simpler operation, and less solvent requirements. The developed method was applied to determine OPFRs in soil samples collected from different sites in Suzhou, including an electronics factory, an auto-repair factory, a paddy field, and a school field. The results revealed that the contents of OPFRs in the soils from the electronics and auto-repair factories were significantly higher than those in the soils from the paddy and school fields. The main pollutants in the soil samples collected from the electronics and auto-repair factories were TCIPP, TPPO, TCEP, and TDCPP. Moreover, the contents of these compounds were 5.30, 4.44, 4.54, and 4.20 ng/g, in soils from the electronics factory and 2.70, 3.93, 7.60, and 5.04 ng/g, in soils from the auto-repair factory. To the best of our knowledge, this study is the first to determine high concentrations of TPPO in industrial soils. Thus, the combination of MSPD and GC-MS/MS adopted in this study can provide useful insights into the detection of the 10 OPFRs in soil.
有机磷阻燃剂(OPFRs)因其卓越的阻燃和增塑性能而被广泛应用于商业产品中。然而,由于OPFRs具有环境持久性、生物富集性和潜在毒性,它们也被公认为是新兴的持久性有机污染物(POPs)。因此,准确检测环境介质中的OPFRs对于分析其归宿、迁移和生态风险至关重要。然而,目前可用的OPFR检测方法非常少,而且不同地点检测到的OPFR种类可能会有所不同。在本研究中,基质固相分散萃取(MSPD)这一用于制备固体、半固体、液体和粘性样品的简单、快速且通用的技术,首次与气相色谱 - 串联质谱(GC - MS/MS)相结合,用于分析土壤中的10种OPFRs,即磷酸三丙酯(TPrP)、磷酸三丁酯(TnBP)、磷酸三异丁酯(TiBP)、磷酸三(2 - 氯异丙基)酯(TCIPP)、磷酸三(2 - 氯乙基)酯(TCEP)、磷酸三(1,3 - 二氯 - 2 - 丙基)酯(TDCPP)、磷酸三苯酯(TPHP)、2 - 乙基己基二苯基磷酸酯(EHDPP)、三苯基氧化膦(TPPO)和磷酸三甲苯酯(TCP)。GC - MS/MS系统配备了Bruker - 5MS毛细管柱,并与在多反应监测(MRM)模式下运行的三重四极杆质谱仪相连。在检测之前,向混合标准溶液中加入10 ng的C - PCB208作为内标。确定了MSPD能够实现对OPFRs高选择性的最佳条件。此外,采用单因素分析来考察吸附剂(即C18、PSA、弗罗里硅土、石墨化炭黑和多壁碳纳米管(MWCNTs))以及洗脱剂的用量、类型和体积对该方法测定10种OPFRs萃取效率的影响。当在洗脱过程中分别使用石墨化炭黑和乙酸乙酯作为吸附剂和溶剂时,实现了对OPFRs的高萃取回收率。采用响应面法(RSM)进行优化,以进一步分析吸附剂用量、洗脱剂体积和研磨时间这三个关键因素及其相互作用对OPFRs回收率的影响。在0.3 g石墨化炭黑作为吸附剂、10 mL乙酸乙酯作为洗脱剂以及5分钟研磨时间的最佳条件下,OPFRs的相对平均回收率为87.5%。此外,10种OPFRs在五个浓度梯度下呈现出良好的线性关系,相关系数大于0.998。检测限(LODs)和定量限(LOQs)分别计算为信噪比()为3和10时的值,结果发现分别在0.006 - 0.161和0.020 - 0.531 ng/g范围内。通过测定低、中、高加标水平(分别为10、20和100 ng/g)土壤中OPFRs的回收率和相对标准偏差(RSDs),验证了所提出方法的性能。OPFRs的回收率在70.4%至115.4%之间,RSDs在0.7%至6.7%之间。与传统的加速溶剂萃取(ASE)方法相比,MSPD具有更高的效率、更简单的操作和更少的溶剂需求。所开发的方法应用于测定从苏州不同地点采集的土壤样品中的OPFRs,这些地点包括一家电子厂、一家汽车修理厂、一块稻田和一块校园田地。结果表明,电子厂和汽车修理厂土壤中OPFRs的含量显著高于稻田和校园田地土壤中的含量。从电子厂和汽车修理厂采集的土壤样品中的主要污染物是TCIPP、TPPO、TCEP和TDCPP。此外,这些化合物在电子厂土壤中的含量分别为5.30、4.44、4.54和4.20 ng/g,在汽车修理厂土壤中的含量分别为2.70、3.93、7.60和5.04 ng/g。据我们所知,本研究首次在工业土壤中检测到高浓度的TPPO。因此,本研究中采用的MSPD与GC - MS/MS的结合可为土壤中10种OPFRs的检测提供有用的见解。