Organic contamination in clams,Venerupis aurea laeta and Cerastoderma edule glaucum,from Sicily (Italy)

Two species of edible clams Venerupis aurea laeta and Cerastoderma edule glaucum from Ganzirri Lake (Sicily, Italy) were investigated to determine OCP and PCB residues by GC-MS. Thirty-five samples were examined for two years in order to perform: a) their actual contamination; b) the daily dietary exposure of seafood consumers to the pollutants in question. In all the clams analysed in this study, PCB and OCP (4,4′-DDE) residues are always below the limits fixed by law. It seems that there is some seasonality of concentrations observed. In fact the more high concentrations of residues are detected in the hot months, for both species and years. Given the consumption of clams and the values obtained in this study for the two species analysed, it is possible estimate that the average daily dietary intake of NDL-PCB and of 4,4′-DDE for adults is really low.     

Comparative study on Artemisia halodendron Turcz. and its two related plants by GC-MS analysis and protective effect against carbon tetrachloride-induced hepatotoxicity in mice

A rapid method had been used for comparative study on Artemisia halodendron Turcz. and its two related plants by gas phase-mass spectrometry (GC-MS). The comparison of the volatile oils obtained in three plants by GC-MS were similar in 20 compositions. However, n-Hexadecanoic acid (10.40%), Biphenyl (7.867%) and 9,12-Octadecadienoic acid (7.25%) were the predominant in the volatile oils of A. halodendron Turcz., whereas these constituents did not exist in the other two plants. And the study investigated the effect of three plants against CCl₄-induced hepatotoxicity in mice. 70% ethanol extracts of A. halodendron Turcz. showed weaker protective effect than the other two plants. It suggested that they provide a basis for the identification of the A. halodendron Turcz. from the other two plants and the ethanol extract from three plants exerted a protecting effect against hepatotoxicity.     

Validated Stability-Indicating GC-MS Method for Characterization of Forced Degradation Products of Trans-Caffeic Acid and Trans-Ferulic Acid

When dealing with simple phenols such as caffeic acid (CA) and ferulic acid (FA), found in a variety of plants, it is very important to have control over the most important factors that accelerate their degradation reactions. This is the first report in which the stabilities of these two compounds have been systematically tested by exposure to various different factors. Forced degradation studies were performed on pure standards (trans-CA and trans-FA), dissolved in different solvents and exposed to different oxidative, photolytic and thermal stress conditions. Additionally, a rapid, sensitive, and selective stability-indicating gas chromatographic-mass spectrometric method was developed and validated for determination of trans-CA and trans-FA in the presence of their degradation products. Cis-CA and cis-FA were confirmed as the only degradation products in all the experiments performed. All the compounds were perfectly separated by gas chromatography (GC) and identified using mass spectrometry (MS), a method that additionally elucidated their structures. In general, more protic solvents, higher temperatures, UV radiation and longer storage times led to more significant degradation (isomerization) of both trans-isomers. The most progressive isomerization of both compounds (up to 43%) was observed when the polar solutions were exposed to daylight at room temperature for 1 month. The method was validated for linearity, precision as repeatability, limit of detection (LOD) and limit of quantitation (LOQ). The method was confirmed as linear over tested concentration ranges from 1−100 mg L⁻¹ (r²s were above 0.999). The LOD and LOQ for trans-FA were 0.15 mg L⁻¹ and 0.50 mg L⁻¹, respectively. The LOD and LOQ for trans-CA were 0.23 mg L⁻¹ and 0.77 mg L⁻¹, respectively.     

气相色谱-质谱法测定环境水体中24种半挥发性有机物

采用液液萃取-气相色谱-质谱法同时测定环境水体中的24种半挥发性有机物。水样经二氯甲烷萃取,萃取液经浓缩定容后在DB-5MS毛细管色谱柱上分离,质谱中选择电子轰击离子源-选择离子监测模式,以菲-D10为内标物进行定量。24种化合物的质量浓度在一定范围内与其峰面积呈线性关系,检出限为0.03~0.28μg·L-1。加标回收率在70.1%~128%之间,测定值的相对标准偏差(n=6)小于6%。实际样品分析结果表明,某地地表水和化工区水样中均检出硝基苯类、氯代苯酚类、酞酸酯类等化合物。     

低温富集液液萃取-气相色谱-串联质谱法测定水样中15种农药残留

利用低温冷冻条件下农药在水相和有机相之间达到新的传质平衡,建立了低温富集液液萃取-气相色谱-三重四极杆串联质谱法同时测定水样中15种有机磷、有机氯及菊酯类农药的方法。通过对样品前处理中的溶剂选择、冷冻温度及冷冻时间的优化,最终确定的样品前处理条件为:萃取溶剂为甲苯2.0 mL;冷冻温度-40℃;冷冻时间1h。15种农药的检出限(3S/N)在0.005~0.02μg·L-1范围,测定下限(10S/N)为0.02~0.07μg·L-1。方法用于水样中农药的分析,加标回收率在78.8%~124%之间,测定值的相对标准偏差(n=5)在0.9%~9.1%之间。     

固相萃取-气相色谱-质谱法测定辐照鱼油中2-烷基环丁酮

提出了固相萃取-气相色谱-质谱法测定辐照鱼油中2-烷基环丁酮(2-十二烷基环丁酮和2-十四烷基环丁酮)含量的方法。0.300g辐照鱼油样品用正己烷溶解,ProElut Silica固相萃取柱净化。在气相色谱分离中用HP-5MS色谱柱为固定相,在质谱分析中采用选择离子监测模式。2种2-烷基环丁酮的质量浓度均在0.01~1.0mg·L-1范围内与其峰面积呈线性关系,方法的测定下限(10S/N)为10μg·kg-1。加标回收率在91.2%~96.0%之间,测定值的相对标准偏差(n=6)在3.7%~5.9%之间。     

同位素稀释-气相色谱-质谱法测定白酒中23种邻苯二甲酸酯类化合物

提出了同位素稀释-气相色谱-质谱法测定白酒中23种邻苯二甲酸酯类化合物含量的方法。样品用正己烷-乙酸乙酯(1+1)混合液提取后,经DB-5MS毛细管色谱柱分离,采用电子轰击离子源选择离子反应监测模式进行质谱测定,同位素内标法进行定量分析。23种邻苯二甲酸酯类化合物的线性范围在0.2~3.0mg·L-1之间,测定下限(10S/N)在0.05~0.1mg·kg-1之间。加标回收率在73.2%~122%之间,相对标准偏差(n=6)在0.49%~11%之间。     

气相色谱-质谱法测定水中25种挥发性有机物及其在污水厂应急溯源中的应用

采用吹扫捕集-气相色谱-质谱法测定水中25种挥发性有机物的含量,并研究了其在污水厂应急溯源中的应用。25种挥发性有机物在一定的质量浓度范围内与其峰面积呈线性关系,方法的检出限(3.143s)在0.6~5.0μg·L-1之间。以空白样品为基体进行加标回收试验,所得回收率在91.6%~102%之间,测定值的相对标准偏差(n=6)在2.7%~4.6%之间。在一起污水厂冲击案例中,通过污水管网采样及污水样品分析,确定污染因子二氯甲烷,并根据二氯甲烷浓度变化快速锁定污染源头,确保污水厂出口水质达标。     

顶空气相色谱-质谱联用结合同位素峰形校正检索技术鉴别芝麻油风味成分

采用顶空气相色谱-质谱联用(GC-MS)仪结合同位素峰形校正检索技术鉴别了市售芝麻油风味成分中的71种化合物,占总检出化合物的90.2%。检出化合物可分为吡嗪、吡咯、吡啶、噻唑、噻吩、吲哚、唑、呋喃、醛类和酚类等,其中醛、酚、吡嗪和呋喃类化合物的含量较高,分别占风味成分含量的37.4%,20.1%,10.0%和6.7%。同位素峰形校正检索技术在低分辨率质谱上可对化合物的相对分子质量实现精确测量,从而为低分辨率四极杆质谱确定化合物的元素组成和解析化合物结构提供了重要依据,同时也为芝麻油的成分分析提供了新的技术手段。     

农产品中6种有机溶剂残留的气相色谱-质谱检测方法

建立了蔬菜、粮食等农产品中6种有机溶剂残留(甲苯、邻二甲苯、间二甲苯、对二甲苯、N,N-二甲基甲酰胺(DMF)和二甲基亚砜(DMSO)的液液萃取/气相色谱-质谱分析方法。不同类型的样品经乙腈-水溶液或乙腈溶剂提取后,用Agilent DB-624(30.0 m×250μm×1.4μm)毛细管色谱柱分离,在GC-MS选择离子监测(SIM)模式下检测,以保留时间和特征离子丰度比定性,外标法定量。结果表明,该方法对不同样品中4种苯系物在0.005~0.500 mg/L,DMF在0.025~0.125 mg/L,DMSO在0.050~0.500 mg/L浓度范围内线性关系良好,相关系数(r)为0.992 0~0.997 1。6种有机溶剂的平均加标回收率为60.1%~115.2%,相对标准偏差不大于11.0%。苯系物、DMF和DMSO的方法检出限(S/N=3)分别为0.002~0.050,0.010~0.025,0.060~0.150 mg/kg。该方法准确、快速、灵敏,可用于各种农产品中有机溶剂残留的监控。