烷基苯酚类化合物的气相色谱保留值与其结构参数的定量关系

计算了44个烷基苯酚类化合物的组成、拓扑、几何、静电和量子化学等结构参数,运用启发式方法对这些结构参数进行筛选,得到了含3个变量的化合物的定量结构与色谱保留值的线性关系模型,同时以这3个变量作为支持向量机模型的输入变量建立非线性回归模型。两种方法的相关系数(R2 )分别为0.98和0.92,相应的均方根误差分别是0.99和2.77。通过对两种模型的稳定性和预测能力的比较,发现线性模型能够更好地反映烷基苯酚的气相色谱保留值与其结构参数之间的定量关系。在已知烷基苯酚类化合物结构参数的情况下,线性回归模型更有助于它们的色谱分析。     

纺织品与食品包装材料中烷基酚及双酚A迁移量的液相色谱-串联质谱分析

建立了纺织品与食品包装材料中烷基酚及双酚A迁移量的液相色谱-串联质谱分析方法.纺织品和食品包装材料浸泡液经Supelclean Envi-Carb石墨化碳黑固相萃取柱净化,以Waters XBridge C_(18)(150 mm×2.1 mm,3.5 μm)色谱柱分离后,进行LC-MS/MS多反应监测模式下的定性及定量分析.烷基酚和双酚A在纺织品模拟汗液、食品模拟物介质中特定迁移量的定量下限分别为2、4 μg/kg.在低、中、高3个添加水平下,测得纺织品样品的回收率为83%～91%,相对标准偏差为4.1%～9.0%;食品包装材料样品的回收率为82%～94%,相对标准偏差为3.9%～8.7%.     

烃基酚类化合物对四膜虫毒性的定量结构-活性相关研究

在B3LYP/6-311G*水平上全优化计算了41个烃基苯酚的量子化学参数,连同取代烃基位置编码参数共同表征有机物的分子结构,应用基于预测的模型变量选择方法(VSMP)选择描述子最佳子集,建立了偶极距(μ)和分子平均极化率(α)与烃基苯酚对梨形四膜虫水生毒性pIGC50 两变量线性QSAR模型,模型的相关系数r为0.9434,均方根误差RMSE为0.2548,LOO交叉验证相关系数Q为0.9170,均方根误差RMSV为0.3066;为检验模型的稳定性和预测能力,将41个样本分作了奇数集和偶数集,分别建立了模型,并用y-Randomization方法对全部样本、奇数集和偶数集所建立的模型进行了检验;建立的奇数集和偶数集模型均满足Tropsha研究小组建议的预测能力标准.     

液相色谱串联质谱法同时测定垃圾渗滤液中的邻苯二甲酸酯和烷基酚

利用反相液相色谱-电喷雾-串联质谱法同时分析了水体中的6种邻苯二甲酸酯(DMP、DEP、DBP、DEHP、DOP和DNP)以及OP、NP和BPA。用Waters XTerraTMMS C18色谱柱,乙腈和乙酸铵溶液作为梯度洗脱的流动相。结果表明,9种物质的分离效果良好,邻菲二甲酸酯采用亚离子模式检测,烷基酚采用负离子模式检测。通过多反应监测模式(MRM)对各目标物进行定量,检出限为0.1~1μg/L。该方法已用于北京某垃圾填埋场渗滤液中相关物质的检测,结果表明:原水中邻苯二甲酸酯和烷基酚的总浓度为218~291μg/L,其中主要是DEHP。垃圾渗滤液处理工艺对这些物质有明显的去除效果。     

Determination of octylphenol and nonylphenol in aqueous sample using simultaneous derivatization and dispersive liquid–liquid microextraction followed by gas chromatography–mass spectrometry

A simple and fast sample preparation method for the determination of nonylphenol (NP) and octylphenol (OP) in aqueous samples by simultaneous derivatization and dispersive liquid–liquid microextraction (DLLME) was investigated using gas chromatography–mass spectrometry (GC/MS). In this method, a combined dispersant/derivatization catalyst (methanol/pyridine mixture) was firstly added to an aqueous sample, following which a derivatization reagent/extraction solvent (methyl chloroformate/chloroform) was rapidly injected to combine in situ derivatization and extraction in a single step. After centrifuging, the sedimented phase containing the analytes was injected into the GC port by autosampler for analysis. Several parameters, such as extraction solvent, dispersant solvent, amount of derivatization reagent, derivatization and extraction time, pH, and ionic strength were optimized to obtain higher sensitivity for the detection of NP and OP. Under the optimized conditions, good linearity was observed in the range of 0.1–1000 μg L⁻¹ and 0.01–100 μg L⁻¹ with the limits of detection (LOD) of 0.03 μg L⁻¹ and 0.002 μg L⁻¹ for NP and OP, respectively. Water samples collected from the Pearl River were analyzed with the proposed method, the concentrations of NP and OP were found to be 2.40 ± 0.16 μg L⁻¹ and 0.037 ± 0.001 μg L⁻¹, respectively. The relative recoveries of the water samples spiked with different concentrations of NP and OP were in the range of 88.3–106.7%. Compared with SPME and SPE, the proposed method can be successfully applied to the rapid and convenient determination of NP and OP in aqueous samples.     

热辅助下的在线甲基衍生化-气相色谱法分析银杏叶中的银杏酸

采用热辅助下的在线甲基衍生化-气相色谱法测定银杏叶中的银杏酸。银杏叶样品与衍生化试剂四甲基氢氧化铵(TMAH, 25%甲醇溶液)同时进样,在300 ℃的进样口瞬间生成了银杏酸甲基衍生物,银杏叶中6种银杏酸得到很好的分离。在一定的质量浓度范围内银杏酸的线性关系良好,回归系数均大于0.9966,最低检出限范围为0.8～2.8 mg/kg。银杏叶中主要的烷基酚类物质为银杏酸C13∶0,C15∶1和C17∶1,它们的含量(用质量分数表示)分别为11.0%,36.7%和42.8%,3次平行测定的相对标准偏差(RSD)均小于3.4%(n=3)。银杏叶样品中总银杏酸的含量为4.0～10.9 mg/g。该方法无需繁琐费时的衍生化和纯化等前处理步骤,不失为银杏叶中银杏酸测定的一种快速、简便、准确的方法。     

Resolution and identification of co‐eluting alkylphenols in comprehensive two‐dimensional gas chromatography–mass spectrometry by multivariate curve resolution‐alternating least squares

The interest in the analysis of alkylphenols (APs) has widely increased in the last decades because of the endocrine disrupting features of these phenol derivatives. However, the isolation and identification of many of the multiple chemical structures of all APs is a very challenging task because of their similar physicochemical properties. In this work, the co‐elution of the isomers present in technical mixtures and using comprehensive two‐dimensional gas chromatography coupled to quadrupole mass spectrometry was resolved using multivariate curve resolution‐alternating least squares algorithm. The mass spectrum of each resolved compound was compared with the theoretical mass spectrum obtained from the literature, in order to assign the appropriate identification of each isomer. Two commercial mixtures were studied; in one of them, 34 compounds were resolved, and in the second mixture, 40 compounds were resolved. The relative abundances of the compounds were also calculated in both mixtures. Copyright © 2015 John Wiley & Sons, Ltd.     

液相色谱-串联质谱法测定污水处理厂水样中双酚A、四溴双酚A及烷基酚类化合物

近年来,双酚A、四溴双酚A及烷基酚类化合物由于其对水生生物的内分泌干扰作用受到越来越广泛的关注。污水处理厂是处理这类化合物的重要途径,研究目标物在其中的浓度分布对于探明此类物质在环境中的暴露水平具有重要意义,而建立相应的分析测定方法则是开展上述研究的基础。本研究建立了同时测定污水处理厂水样中双酚A、四溴双酚A及6种烷基酚类化合物的反相液相色谱-电喷雾串联质谱分析方法。结果发现,以ZORBAX Eclipse Plus C18色谱柱（150 mm×2.1 mm,3.5 μm）为分离柱,乙腈和0.02%（v/v）氨水溶液为梯度洗脱的流动相,电喷雾质谱负离子模式下目标化合物在11 min内分离;在1~100 μg/L范围内,双酚A、四溴双酚A及6种烷基酚类化合物的峰面积与质量浓度的线性关系良好（R²≥0.998）,方法定量限为2.0~20 ng/L;添加水平分别为0.2、2、20 μg/L时,目标化合物的平均回收率分别为64.3%~118.0%、65.9%~100.5%、70.3%~102.7%,相对标准偏差均小于7.1%。基于上述方法,对江苏省某工业园区污水处理厂水样中相关物质进行检测,出水中检出5种目标化合物,质量浓度范围为11.9~3015.3 ng/L。结果表明,该方法准确可靠、灵敏度高,适用于污水处理厂水样中相关烷基酚类化合物的检测。     

超高效液相色谱-串联质谱法同时测定化妆品中8种双酚类及烷基酚类内分泌干扰物

建立了超高效液相色谱-串联质谱法(UPLC-MS/MS)同时测定化妆品中8种双酚类及烷基酚类化合物含量的分析方法。粉类、水剂、膏霜乳液类、凝胶类化妆品采用乙腈-1%氨水(4∶1,体积比)混合溶液超声提取,经BEH Phenyl色谱柱(2.1 mm×100 mm,2.5μm)分离,用流动相甲醇和0.1%氨水溶液梯度洗脱,在负离子模式下,采用多反应监测(MRM)扫描方式测定。在优化条件下,8种双酚类及烷基酚类化合物在一定质量浓度范围内具有良好的线性关系,线性系数(r)均大于0.997,方法检出限(LOD)为0.001 25～0.025 mg/kg,定量下限为0.005～0.05 mg/kg。回收率为75.1%～107%,相对标准偏差(RSD,n=6)为0.1%～1.6%。该方法灵敏度高、通用性强、重复性好,能够有效分离多种同分异构体,适用于同时测定化妆品中的8种双酚类和烷基酚类内分泌干扰物。     

Determination of alkylphenols and their short-chained ethoxylates in Polish river waters

A simple and robust analytical method for analysis of octyl- and nonylphenol as well as their short-chained ethoxylates in river water was proposed. Quantification of these analytes was performed by high-performance liquid chromatography with fluorescence detection after isolation using solid phase extraction with polytetrafluoroethylene sorbent. The method allowed one to obtain about 80–100% recovery for octylphenol and its ethoxylates and 70–80% for nonylphenol and its ethoxylates. Also, there was no need for additional sample cleaning before chromatographic analysis. The limit of detection was 0.01?µg?L^?1 for octylphenol and its ethoxylates and 0.03?µg?L^?1 for nonylphenol and its ethoxylates. The proposed method was used for quantitation of octyl- and nonylphenol together with their short-chained ethoxylates. Nonylphenol, nonylphenol mono- and diethoxylates were detected at concentrations ranging from 0.12 to 0.53?µg?L^?1. Octylphenol, octylphenol mono- and diethoxylates were detected in four out of eleven samples at concentrations ranging from 0.03 to 0.17?µg?L^?1. High concentrations of nonylphenol and its ethoxylates were found in the samples, despite the fact that their use in European countries was forbidden several years ago.