高效液相色谱-串联质谱法测定植物源食品中四溴菊酯

建立了测定8种植物源食品中四溴菊酯残留的高效液相色谱-串联质谱分析方法。样品以乙酸乙酯为提取剂,经浓缩、净化,用流动相定容,采用高效液相色谱分离,以串联质谱在多反应监测模式下测定。结果表明,四溴菊酯质量浓度在20～1000μg/L范围内线性良好,相关系数为0.9998;在0.01、0.02和0.1 mg/kg(粮谷类样品)和0.005、0.01和0.05 mg/kg(果蔬类样品)添加水平下的回收率为81.6%～92.1%,相对标准偏差为4.0%～13%,定量限为0.01 mg/kg(粮谷类样品)和0.005 mg/kg(果蔬类样品)。     

气相色谱-质谱法测定植物源性食品中残留的联苯菊酯

建立了气相色谱-质谱检测8种植物源性食品中联苯菊酯残留量的方法。粮谷类样品采用乙腈提取、凝胶渗透色谱（GPC）结合Florisil固相萃取柱净化;蔬菜类样品采用乙酸乙酯提取、Florisil固相萃取柱净化,然后采用气相色谱-质谱测定,选择离子监测模式检测。方法的检出限为5 μg/kg（S/N=10）;在0.005～0.5 mg/L范围内呈现良好的线性关系,相关系数为0.9999;在0.005,0.04和0.1 mg/kg 3个添加水平下,联苯菊酯的添加回收率在74%～99%之间,相对标准偏差(RSD)小于13%。该方法灵敏度高,净化效果良好,能有效地消除复杂基质带来的干扰,可以作为日常样品中联苯菊酯残留量的检测和确证方法。     

固相萃取-超高效液相色谱-串联质谱法同时测定果蔬中6种酰胺类农药残留量

建立了同时测定果蔬中6种酰胺类农药的固相萃取-超高效液相色谱-串联质谱(SPE-UPLC-MS/MS)方法。样品经乙腈高速匀浆提取、Florisil固相萃取柱净化,采用超高效液相色谱-串联质谱法测定6种农药。质谱分析采用电喷雾电离,正负双离子扫描,多反应监测(MRM)模式。结果表明:6种农药在0.0005~1.00 mg/L范围内均呈现良好的线性关系,相关系数均大于0.999;在0.01、0.1和1.0 mg/kg(氟苯虫酰胺为0.001、0.01和0.1 mg/kg) 3个浓度添加水平下的平均回收率为72.4%~119.4%,相对标准偏差(n=5)小于15%;定量限为0.01 mg/kg(溴氰虫酰胺、双炔酰菌胺、啶酰菌胺、氟吡菌胺和噻呋酰胺)和0.001 mg/kg(氟苯虫酰胺)。该方法简单、快速、重现性好、灵敏度高,可满足果蔬中6种酰胺类农药残留检测的要求。     

气相色谱-串联质谱法测定茶叶中83种农药残留

建立了气相色谱-串联质谱(GC-MS/MS)测定茶叶中83种农药残留的测定方法。茶叶样品经超纯水浸泡,用正己烷提取,过石墨化炭固相萃取小柱净化,待测农药在气相色谱-串联质谱(GC-MS/MS)上测定,用保留时间和特征离子对定性,外标法定量。在最佳的仪器条件下,待测农药在5～500μg/L线性关系良好,定量离子对的相关系数大于0.999,待测农药的检出限LOD(S/N=3)为2～20μg/kg,定量限LOQ(S/N>10)为5～50μg/kg。在空白茶叶样品中添加83种农药,添加水平分别为50、100、500μg/kg时,回收率范围在70.0%～110.0%,相对标准偏差(RSD)范围为3.2%～11.6%。对实际样品检测结果表明,大部分茶叶均有农药残留检出,主要为戊唑醇、溴虫腈、联苯菊酯、氯氟氰菊酯、氯氰菊酯、苯醚甲环唑、溴氰菊酯、唑虫酰胺,检出浓度集中在10～1 000μg/kg。该方法不但可以有效降低基线,减少杂峰的干扰,而且简单、灵敏、稳定,方法灵敏度满足国内外农药残留监测限量标准要求。     

亲水作用色谱-串联质谱法测定茶叶中杀螟丹农药残留量

采用亲水作用色谱-串联质谱(HILIC-MS/MS)测定茶叶中的杀螟丹农药残留。样品经乙腈-甲醇-乙酸(93:5:2)提取,C18固相萃取(SPE)或GCB与C18分散固相萃取(d-SPE)净化。以乙腈-10mmol/L乙酸铵为流动相,ZIC-HILIC色谱柱分离,电喷雾电离(ESI),多反应监测模式(MRM)质谱检测。结果表明,基质效应随着茶叶种类、样品质量的变化而变化。杀螟丹在0.005～0.5mg/L范围内线性关系良好(r2≥0.998),方法的定量下限(LOQ)为0.008mg/kg(绿茶)和0.005mg/kg(红茶)。采用绿茶和红茶基质进行1倍、5倍、10倍LOQ 3个水平的加标回收率实验,测得回收率为70%～89%,相对标准偏差(RSD)低于6%。该方法灵敏、准确,满足茶叶中杀螟丹农药残留检测的要求。     

非衍生化/液相色谱-串联质谱法测定果蔬中氨基酸类有机磷除草剂残留

建立了果蔬中4种氨基酸类有机磷除草剂的非衍生化/液相色谱-串联质谱分析方法。样品采用水-二氯甲烷混合溶液提取,经二氯甲烷液液萃取法结合HLB固相萃取柱净化后,进行液相色谱-串联质谱测定。最佳实验条件下,4种化合物在0.010～0.200 mg/L质量浓度范围内呈良好线性关系,相关系数（r）均大于0.996,方法检出限为0.01 mg/kg,定量下限为0.05 mg/kg。在0.050、0.100、0.200 mg/kg 3个加标水平下的平均回收率为72.2%～109%,相对标准偏差（RSD,n=6）为2.2%～11%。该方法快速、简便、灵敏、准确,可用于水果、蔬菜中氨基酸类有机磷除草剂的定量检测和确证。     

凝胶渗透色谱-分散固相萃取法同时测定鸡蛋中多溴联苯醚及其衍生物、四溴双酚A和六溴环十二烷

建立了一种同时检测鸡蛋中四溴双酚A(TBBP A)、六溴环十二烷(HBCD)和多溴联苯醚(PBDEs)及其衍生物羟基多溴联苯醚(OH-PBDEs)和甲氧基多溴联苯醚(MeO-PBDEs)的凝胶渗透色谱(GPC)-分散固相萃取(DSPE)-液相色谱-串联质谱(HPLC-MS/MS)和气相色谱-负化学源质谱(GC-NCI/MS)的检测方法。样品经正己烷、二氯甲烷(1∶1,V/V)加速溶剂萃取,凝胶渗透色谱净化后,经100 mg十八烷基键合硅胶(C18)分散固相萃取吸附剂去除杂质,液相色谱-串联质谱和气相色谱-负化学源质谱方法测定,外标法定量。在蛋白和蛋黄样品中添加1.0或5.0μg/kg的目标物,其回收率分别为64.5%~97.2%和65.6%~109.2%(除BDE-85为54.8%,OH-BDE-137为47.4%外),相对标准偏差小于20.2%,定量限为0.01~0.2μg/kg。     

气相色谱法同时测定浓缩苹果汁中6种拟除虫菊酯类农药的残留量

建立了气相色谱法同时测定浓缩苹果汁中联苯菊酯、甲氰菊酯、三氟氯氰菊酯、氯菊酯、氰戊菊酯和溴氰菊酯残留量的分析方法.采用HP-5石英毛细管柱(30 m×0.32 mm,0.25μm)和电子捕获检测器测定,用6种农药的基准物质配成混合标准溶液,制作浓度范围在0.1～0.4 mg/L之间的校正曲线,6条曲线的相关系数分别为0.9996、0.9997、0.9992、0.9997、0.9991和0.9985.样品加标回收率为88.1%～106.7%,相对标准偏差为0.014%～0.04%,检出限分别为0.005、0.001、0.0005、0.01、0.005和0.005 mg/kg.     

浊点萃取-异辛烷反萃取-气相色谱测定茶叶中拟除虫菊酯农药残留

建立了浊点萃取-异辛烷反萃取-气相色谱(ECD)检测茶叶中联苯菊酯(Bifenthrin)、甲氰菊酯(Fenpropathrin)、功夫菊酯(Cyhalothrin)、氯菊酯(Permethrin)、氰戊菊酯(Fenvalerate)、溴氰菊酯(Deltamethrin)6种拟除虫菊酯农药残留的方法.对含1.2%(m/V)聚乙二醇6000(PEG6000)表面活性剂和40%(m/V)(NH4)2SO4的6种拟除虫菊酯溶液进行加热萃取,所获得的富集相用异辛烷超声反萃取,并经离心对上层异辛烷溶液进行进一步净化处理,即可获得富集倍数达75倍的6种农药.本方法的检出限(LOD)为:联苯菊酯、甲氰菊酯和功夫菊酯0.4 μg/kg;氰戊菊酯2.1 μg/kg;氯菊酯和溴氰菊酯3.0 μg/kg;用本方法测定了新鲜茶叶中6种拟除虫菊酯农药,含量分别为4.17, 4.15, 4.09, 4.01, 3.93和3.51 μg/kg.在上述茶叶样品中添加20 μg/kg 的6种农药后测定,添加回收率为72.3%～85.6%; 相对标准偏差为2.2%～5.6%.     

凝胶渗透色谱-固相萃取净化测定茶叶中16种菊酯残留量

建立了以凝胶渗透色谱(GPC)和固相萃取(SPE)净化,气相色谱-质谱(GC-MS)负化学源(NCI)技术测定茶叶中七氟菊酯、 四氟菊酯、丙烯菊酯、联苯菊酯、胺菊酯、甲氰菊酯、氯氟氰菊酯、氟丙菊酯、苯醚氰菊酯、氟氯氰菊酯、氯氰菊酯、氟氰戊菊酯、氰戊菊酯、 氟胺氰菊酯、溴氰菊酯、氯菊酯等16种菊酯残留量的方法.样品经V(丙酮)∶V(乙酸乙酯)∶V(正己烷)＝1∶2∶1提取,经GPC去除大分子的色素和类脂杂质,弗罗里硅土 SPE柱进一步净化,以毒死蜱同位素D-10作内标,内标法定量.方法的回收率67.2%～108%之间.变异系数小于18%.16种菊酯方法定量限在0.0125～0.025 mg/kg之间.     

气相色谱法测定茶叶中多种有机磷农药残留量

 采用微量化学法和全自动固相萃取技术 ,建立了气相色谱法同时测定茶叶中 14种有机磷农药残留量的方法 ,并对样品的前处理作了一定的探讨。结果表明 ,采用程序升温 ,所测定的 14种有机磷农药在SPBTM 170 1石英毛细管柱上得到了很好的分离 ,且方法快速、灵敏 ,完全符合实际应用需要。     

液相色谱-串联质谱法快速测定植物源性食品中的百草枯

建立了水果、蔬菜、豆类和粮谷中百草枯残留的高效液相色谱-串联质谱(HPLC-MS/MS)分析方法.用水提取样品中的百草枯,弱阳离子交换(WCX)固相萃取柱(SPE)净化.采用CAPCELL PAK ST色谱柱(150 mm×2.0mm).乙腈-10 mmol/L乙酸铵水溶液(用甲酸调至pH 4.0)为流动相,以电喷雾离...     

Multiresidue method for determination of 90 pesticides in fresh fruits and vegetables using solid-phase extraction and gas chromatography-mass spectrometry

A multiresidue method for analysis of 90 pesticides with different physico-chemical properties in fruits and vegetables was developed. The method involves a rapid and small-scale extraction procedure with acetone using vortex mixing. Solid-phase extraction (SPE) on a highly cross-linked polystyrene divinylbenzene column (LiChrolut EN) was used for clean-up and pre-concentration of the pesticides from the water-diluted acetone extracts. For most fruit and vegetable samples this partial clean-up was sufficient, but some of them with more co-extracting substances need further clean-up (cereals, spinach, carrots, etc.). Diethylaminopropyl (DEA) modified silica was used for efficient removal of interferences caused by various organic acids, sugars, etc. The pesticide residues were determined by gas chromatography with a mass selective detector (GC-MS). The majority of pesticide recoveries for various fruits and vegetables were >80% in the concentration range from 0.01 to 0.50 mg/kg, except for the most polar pesticides (methamidophos, acephate, omethoate) which cannot be determined by this method. The limit of quantitation for most of the pesticides was 0.01 mg/kg with majority of relative standard deviations (R.S.D.s) below 10%.     

分散固相萃取-气相色谱-串联质谱法测定蔬菜中107种农药的残留量

采用分散固相萃取-气相色谱-串联质谱(QuEChERS-GC-MS/MS)建立了蔬菜中107种农药残留量的分析方法。样品由含1%冰醋酸的正己烷饱和乙腈提取、分散固相萃取法净化,采用气相色谱-串联质谱方法在分时段选择反应监测模式下进行测定,外标法定量。所有农药在0.05～1 mg/L范围内线性关系均良好;所有农药的方法定量限(LOQ)均低于10 μg/kg;在10 μg/kg的添加水平下,大蒜、青刀豆、萝卜和菠菜4种基质中绝大多数农药的平均回收率处于60%～130%之间,相对标准偏差(RSD)不大于15.3%。该方法不仅能用于多种蔬菜基质中107种农药残留的检测,而且还能较好地解决本底成分相当复杂的大蒜基质极易出现的干扰问题。     

Combination of the quick, easy, cheap, effective, rugged, and safe (QuEChERS) method and dispersive liquid-liquid microextraction in the identification and determination of pesticides from various classes in food products by gas-liquid chromatography

A procedure for the identification (104 substances) and determination (40 substances) of the active components of combined pesticides from different classes in water, vegetables, fruits, and meat by gas chromatography with mass-spectrometric and electron-capture detectors was proposed. The pesticides were extracted from the samples of vegetables, fruits, and meat with acetonitrile using the QuEChERS method. The extracts were preconcentrated by a factor of 50–60 and additionally purified by dispersive liquid-liquid microextraction. The pesticides were extracted from water by dispersive liquid-liquid microextraction with hexane (degree of concentration was higher than 100). The limits of detection by the time-of-flight detector equaled 0.01–0.02 mg/kg for solid samples and 1–2 μg/L for aqueous solutions. The limits of quantitation for pesticides were 1–2 mg/kg for solid samples and 0.05–0.1 μg/L for solutions. The analysis time was 1–2 h, and the RSD of the results did not exceed 18%.     

Applications of LC/ESI-MS/MS and UHPLC QqTOF MS for the determination of 148 pesticides in fruits and vegetables

This paper presented the applications of liquid chromatography electrospray ionization tandem mass spectrometry (LC/ESI-MS/MS) and ultra-high-pressure liquid chromatography electrospray ionization quadrupole time-of-flight mass spectrometry (UHPLC QqTOF MS) for the determination of 148 pesticides in fruits and vegetables. Pesticides were extracted from fruits and vegetables using a buffered QuEChERS method. Quantification was achieved using matrix-matched standard calibration curves with isotopically labeled standards or a chemical analog as internal standards in an analytical range from 5 to 500 μg/kg. The method performance parameters including overall recovery, intermediate precision, and measurement uncertainty were evaluated according to a statistically designed experiment, i.e., a nested design. For LC/ESI-MS/MS, 95% of the pesticides had recoveries between 81% and 110%; 97% had an intermediate precision ≤20%; and 95% (in fruits) or 93% (in vegetables) showed measurement uncertainty ≤40%. Compared to LC/ESI-MS/MS, UHPLC QqTOF MS showed a relatively poor repeatability and large measurement uncertainty. About 93% (in fruits) or 94% (in vegetables) of the pesticides had recoveries between 81% and 110%; 86% (in fruits) or 90% (in vegetables) had an intermediate precision ≤20%; and 79% (in fruits) or 88% (in vegetables) showed measurement uncertainty ≤40%. LC/ESI-MS/MS proved to be the first choice for quantification or pre-target analysis due to its superior sensitivity and good repeatability. UHPLC QqTOF MS provided accurate mass measurement and isotopic patterns, and was an ideal tool for post-target screening and confirmation.     

What are we determining using gas chromatographic multiresidue methods: tralomethrin or deltamethrin?

The analytical behaviour of the relatively new pyrethroid insecticide tralomethrin has been evaluated by using gas chromatography (GC) with electron-capture and mass spectrometry (MS) detectors, and liquid chromatography (LC)-atmospheric pressure ionization mass spectrometry with electrospray interfacing. Under the GC conditions commonly used in pesticide residue analysis, it was found that tralomethrin is transformed into deltamethrin (in a reproducible way) in the injector port of the GC system. Results obtained in this work indicate that the GC multiresidue methodologies routinely applied in the analysis of pyrethroid pesticides in foods cannot distinguish between these two pesticides, and the chromatographic signal obtained at the retention time of deltamethrin/tralomethrin can be really quantified as either deltamethrin or tralomethrin, including when it is confirmed as deltamethrin by MS. Under the LC-MS conditions assessed in this work, deltamethrin and the two diasteroisomers of tralomethrin were well separated and identified.     

气相色谱-质谱法测定茶叶中的25种有机氯农药残留

利用气相色谱-质谱(GC-MS)联用技术建立了茶叶中25种有机氯农药残留同时测定的方法。茶叶样品中有机氯农药残留通过正己烷-丙酮(体积比为2∶1)溶液提取,浓缩后过弗罗里硅土柱净化,采用正己烷-乙酸乙酯(体积比为9∶1)溶液淋洗,GC-MS选择离子监测模式(SIM)检测。方法的线性范围为0.010～0.500 mg/L。在茶叶样品中0.01～0.20 mg/kg加标水平下有机氯混标的加标回收率为70.8%～105.5%,相对标准偏差为1.6%～12.7%。除硫丹Ⅰ和硫丹Ⅱ的定量限为0.02 mg/kg以外,其余23种有机氯农药的定量限均为0.01 mg/kg。     

Analysis of pesticides residues in fresh produce using buffered acetonitrile extraction and aminopropyl cleanup with gas chromatography/triple quadrupole mass spectrometry, liquid chromatography/triple quadrupole mass spectrometry, gas chromatography/ion trap detector mass spectrometry, and GC with a halogen-specific detector

A rapid and inexpensive multiresidue method for determining pesticides in fruits and vegetables is presented. Extraction of a 15 g sample with 15 mL acetonitrile was followed by buffering with magnesium sulfate, sodium chloride, sodium citrate dihydrate, and disodium citrate. Acidification with formic acid prior to dispersive cleanup with aminopropyl sorbent and magnesium sulfate was used to stabilize base-sensitive pesticides such as chlorothalonil. Extracts were concentrated to 2 g/mL. Analyses were conducted by GC/ion trap detector MS, GC-halogen-specific detector, and LC/triple quadrupole MS. Accuracy and repeatability for 166 compounds in tomato, potato, and cabbage were 70-120% and <20% CV in 85% of the compounds, respectively. Reproducibility over a 4 month period in multiple commodities and analytical conditions was 62-124%, with CVs better than 30% for 91% of the compounds. Supply cost/sample was reduced 66%, and time to extract a batch of 24 samples was reduced by half compared to the prior method that used a 50 g sample, 100 mL acetonitrile, multiple SPE columns, and additional instrumentation. Additional extraction studies were conducted in tomatoes, oranges, and green beans at 4 g/mL using a GC/MS triple quadrupole system with a programmable temperature vaporization inlet. Recoveries of 70-120% were achieved in 93% of all compounds in green beans, 95% in tomatoes, and 97% in oranges.