烟草植物在有机医药和农药中的应用

烟草植物富含优质蛋白质和生物碱,具有很高的药用价值。对近年来烟草植物在有机医药、农药方面的应用进行了总结,对烟草的应用前景进行了展望。     

平阳县近岸海域养殖水产品重金属与农药监测

2007年6月、9月、12月和2008年3月对平阳县近岸海域养殖水产品中的重金属和农药含量进行了调查.结果表明：水产品中的各污染质量分数分别为Hg 0.013～0.084μg·g-1,As ND～3.0μg·g-1,Pb ND～0.48μg·g-1,Cd 0.002～0.579μg·g-1,Cu ND～11.7μg·g-1,Cr ND～4.1μg·g-1,六六六ND～0.001 5μg·g-1和DDT为ND～0.173μg·g-1.参照《农产品安全质量无公害水产品安全要求》标准发现,平阳县近岸海域养殖水产品中超标项主要有Cd、As和Cr,另外重金属和农药残留量除DDT、Cr外,其余污染物质量分数均呈甲壳类、贝类〉鱼类.同时,采用危害指标公式探讨水产品摄取量与健康风险之关系,并估算其每日可接受安全量,得出每人以平均体重为60kg折算,若水产品中的砷含量为3.0μg·g-1时,建议每人每日可接受安全量为42.9g·d-1.     

分散固相萃取气相色谱-负化学离子源质谱法测定大豆和玉米中20种农药的残留量

建立了一种大豆和玉米中20种农药残留量的分散固相萃取气相色谱-负化学离子源质谱分析方法。样品经乙腈提取并浓缩后加入N-丙基乙二胺（PSA）、石墨化碳黑和C18 3种填料进行分散固相萃取净化,气相色谱-负化学离子源质谱分时段选择离子监测技术测定与确证,外标法定量。所有农药在20～400 μg/L范围内线性均良好;方法的定量限(LOQ)均不高于2 μg/kg;在5,10和20 μg/kg 3个添加水平下所有农药的平均回收率均处于70%～130%之间,相对标准偏差(RSD)低于17%;运用该方法检测大豆和玉米样品时没有干扰现象。     

分散液相微萃取-气相色谱-串联质谱法快速测定蔬菜中8种亲脂类农药残留

建立了分散液相微萃取-气相色谱-串联质谱(GC-MS/MS)联用方法用于快速分析蔬菜中8种亲脂类农药残留。样品用水-丙酮(5:1, v/v)混合溶液提取,经布氏漏斗减压抽滤。滤液经N-丙基乙二胺(PSA)吸附剂、C18吸附剂、石墨炭黑粉净化后,用氯苯萃取,GC-MS/MS测定。对影响萃取和富集效率的因素进行了优化。在优化的实验条件下,农药的富集倍数达526～878,检出限为0.001～0.02 mg/kg,线性范围为0.005～10 mg/kg,线性相关系数为0.9921～0.9989,平均加标回收率为60.1%～82.5%,相对标准偏差为1.2%～9.6%。该方法已成功应用于蔬菜中8种亲脂类农药残留的测定。     

Dissipation and residue behaviour of oryzalin in grape ecosystem using RRLC-QqQ-MS/MS

The dissipation and terminal residues of oryzalin in grape ecosystem under open-field condition were investigated at two different locations, Beijing and Shandong in China. Residues in field-treated samples were determined by a sample method using rapid resolution liquid chromatography triples quadrupole tandem mass spectrometry (RRLC-QqQ-MS/MS). This method showed satisfactory qualitative and quantitative performance. The mean recoveries of oryzalin at different fortification levels (0.01, 0.1 and 1 mg/kg for grape; 0.01, 0.1, 1, 10 and 30 mg/kg for soil) ranged from 88.2% to 98.8%, with the relative standard deviations ≤4.9%. The limits of detection and quantification were, respectively, 0.003 and 0.01 mg/kg. In soil, the dissipation half-lives were about 9 days and the terminal residues ranged from <0.01 to 0.58 mg/kg in both Beijing and Shandong. The concentrations of oryzalin in grapes were lower than 0.01 mg/kg in most of the samples of dissipation study and all the samples of residue study. As far as we know, this is the first study focusing on the dissipation and terminal residue of oryzalin in grape ecosystem, and no maximum residue limits (MRLs) of oryzalin in grapes were recommended by China, Codex Alimentarius Commission or European Union . Therefore, these data not only provide important information about the fate and residues of oryzalin in grape ecosystem, but also could be very useful for the establishment of the MRLs of oryzalin in grapes.     

Validation of short run time LC-ESI (+) MS/MS method for determination of twenty recommended pesticide residues in food based on QuEChERS extraction technique

Food is expected to contain pesticide residues that might have many problems due to their toxicities for human and animals. So, it is very important to detect and quantify the pesticides contamination levels to increase food safety for the human. The target of our study is to analyse a 20 new pesticides including different pesticide classes such as 1 acaricide, 3 fungicides, 2 plant growth regulators, 11 herbicides, 1 insecticide, 1 rodenticide, and 1 metabolite which were selected according to their modern application in the Egyptian agriculture as well as the recommendation of the Egyptian Agriculture Pesticides Committee (APC). The research is focused on the method validation for the routine analysis of the targeted pesticide residues according to the European SANTE/11,813/2017 guideline. The validation was carried out by fortifying of three levels at 0.01, 0.05 and 0.1 mg/kg in four blank matrices: apple, green beans, fennel seeds and rice which represent different classes of food. The most common citrate buffered QuEChERS extraction method and liquid chromatography coupled with triple quadrupole mass spectrometry (LC-MS/MS) device were used. The mass spectrometer was operated in the positive electrospray ionisation ESI (+) mode and the non-scheduled multiple reactions monitoring (MRM) method in a short run time of 16.0 min. The limits of quantifications (LOQs) for all pesticides ranged between 0.01 and 0.05 mg/kg. Good linearity of the method was in the concentration range 0.001–0.5 μg/ml with acceptable correlation coefficients (r²) ≥ 0.99 for all analytes. The average recoveries for all the target pesticide residues were in the range of 70–120% with relative standard deviations RSDs ≤ 20%. The matrix effect was compensated by using the standard addition method. This short run time LC ESI (+) MS/MS Method may help laboratories which deal with the routine pesticide residues analysis in different food samples.     

气相色谱-质谱联用法测定农药制剂中29种助剂

建立了气相色谱-质谱联用法（GC-MS）同时测定农药制剂中29种助剂的方法。农药制剂经甲醇稀释,取上清液过0.22 μm滤膜后检测分析。采用VF-1701MS毛细管柱（60 m×0.25 mm×0.25 μm）分离,选择离子监测模式下（SIM）测定,外标法定量。结果表明,29种农药助剂在6.2~400.0 mg/L范围内线性关系良好,相关系数（R²）均大于0.99,方法定量限为4.4~439.1 mg/kg,乳油型和可溶液剂型农药样品的平均加标回收率分别为82.0%~111.9%和82.6%~112.9%,相对标准偏差为0.4%~7.2%和0.3%~8.2%（RSD,n=6）。应用该方法对110份农药制剂样品进行检测,其中28份检出苯酚、N-甲基吡咯烷酮、二氯甲烷、正己烷等共11种农药助剂,含量范围为0.05%~15.65%。此方法操作简单,灵敏度高,准确性好,适用于农药制剂中29种助剂的同时检测。     

高效液相色谱-串联质谱法测定烟草中有机磷农药的残留量

建立了一种基于液相色谱-串联质谱法(LC-MS/MS)定量分析微量有机磷农药残留的方法,并应用于烟草中农药残留物的定量检测。采用乙腈超声提取烟草中的有机磷农药残留,以甲醇-水（含0.1%乙酸铵）(体积比为95∶5)为流动相,经高效液相色谱分离,以串联质谱在多反应监测(MRM)模式下测定,在2.5 min内完成了甲胺磷、乙酰甲胺磷、乐果、敌百虫、毒死蜱5种常用有机磷农药的定量分析。5种农药在1~200 μg/L内的线性关系良好(r>0.998),平均回收率为77%~104%,检出限为1.0~5.0 μg/kg。     

气相色谱-负离子化学电离质谱法分析测定蔬菜水果中有机磷农药的残留

将气相色谱-负离子化学电离质谱法(GC-NCI-MS)应用于蔬菜水果中9种有机磷农药残留的分析测定,初步解析了这些农药的NCI-MS特征阴离子结构和断裂机理,并初步探讨了GC-NCI-MS分析蔬菜水果中有机磷农药残留时基体效应的影响。采用空白样品基体匹配校准曲线法(MC)进行定量分析,有效地降低了基体效应的影响。蔬菜水果样品用乙酸乙酯超声提取,以乙硫磷为内标物,采用GC-NCI-MS的选择离子监测方式(SIM)进行定性和定量分析。9种有机磷农药的方法检测限为0.12～1.0 μg/kg。在方法的检测限与1000 μg/kg范围内,线性相关系数都大于0.9993。当空白蔬菜水果(西红柿）样品的加标水平为100,400,800 μg/kg时,平均加标回收率为78%～126%,相对标准偏差为0.58%～14.7%。     

近红外光谱结合特征变量筛选方法用于农药乳油中毒死蜱含量的测定

为提高毒死蜱农药乳油中有效成分近红外光谱定量分析模型的精度和稳定性。采用联合区间偏最小二乘法(siPLS)结合遗传算法(GA)筛选特征变量,由交互验证法确定最佳主成分因子数及筛选的变量数。结果表明,从全光谱区优选出81个变量,主成分因子数为11时,能建立性能最优的模型,模型预测集的决定系数R_p~2为0.972,预测均方根误差(RMSEP)为0.353%。研究表明,利用siPLS结合GA方法优选特征变量,能大幅度地消除农药乳油光谱变量间的冗余信息和无关信息,降低模型的复杂度,提高农药有效成分预测模型的精度及稳定性。