陈皮中农药残留分析及风险评估研究

通过分析中药陈皮的农药残留问题开展风险评估研究。采用气相色谱-串联质谱(GC-MS/MS)和高效液相色谱-串联质谱(HPLC-MS/MS)对198批陈皮中的117种农药进行检测;采用点评估方式计算陈皮中农药残留的急性和慢性摄入风险;采用英国兽药残留委员会提出的兽药残留风险排序矩阵计算各农药的风险得分;采用危害指数(HI)法计算有机磷农药的慢性累积风险。198批陈皮中共检出30种农药(含13种禁用农药),总检出率为98.5%,农药检出量为0.001~11.7 mg/kg。检出农药的慢性膳食摄入风险(%ADI)为0.003%~3.142%,急性膳食摄入风险(%ARfD)为0.022%~26.667%,风险均远低于100%,表明陈皮中农药的膳食暴露风险处于较低水平。6种有机磷农药的慢性累积暴露危害指数为0.942,略小于1,表明风险虽可控但需要关注。风险排序结果表明,陈皮中有16种为中高风险农药,应在生产和安全监管中重点关注。     

GC/LC-Q/TOF MS测定当归中农药残留及膳食风险评估

采用气相色谱/液相色谱-四极杆飞行时间质谱（GC/LC-Q/TOF MS）对100例市售当归样品进行了989种农药残留分析,按照风险排序法对检出农药的风险等级进行归类,采用点评估法评估了检出农药的慢性、急性膳食摄入风险,危害指数法（HI）计算了累积风险值。100例当归的总检出率为95%,共检出27种农药,其中甲拌磷和毒死蜱的检出率较高,农药残留量为0.001 0～1.407 7 mg/kg。依据《中国药典（2020年版）》和GB 2763-2021,检出农药中只有甲拌磷、甲基异柳磷、特丁硫磷有最大残留限量（MRL）值,其中甲拌磷的超标率最高。风险排序结果表明,高风险农药为甲拌磷、特丁硫磷、甲基异柳磷。膳食摄入风险和累积风险结果显示,检出农药的慢性膳食摄入风险（%ADI）和急性膳食摄入风险（%ARfD）平均值分别为0.290 8%和0.097 8%,均远低于100%;慢性累积暴露危害指数（HIc）和急性累积暴露危害指数（HIa）分别为0.066 89和0.011 73,均远小于1,慢性和急性膳食摄入风险及累积风险均处于可接受水平。当归中检出农药的膳食摄入和累积暴露的风险均较低,但仍需加强...     

气相色谱-串联质谱法测定花椒中106种农药残留及膳食暴露风险评估

建立了固相萃取结合气相色谱-串联质谱（GC-MS/MS）测定花椒中106种农药残留量的方法。采用多反应监测（MRM）模式检测,基质匹配标准曲线法定量。结果表明：106种农药的定量限（LOQ）范围为0.010～0.10 mg/kg,且在定量限～1.0 mg/L范围内线性关系良好,线性相关系数R2≥0.99。106种农药的平均加标回收率在60.8%～118.6%之间,相对标准偏差（RSD）在0.79%～19%之间。将该方法用于53批次市售花椒样品的筛查,结果检出21种农药残留,其中有最大残留限量值（MRL）的农药有9种,无MRL值的农药有12种。无MRL值的农药慢性膳食摄入风险值（ADI）为0.002%～0.343%, 12种农药ADI总计为1.03%,花椒中农药残留的膳食摄入风险较低。     

改进的QuEChERS结合LC-MS/MS同时测定蜂蜜中60种兽药残留

建立了同时测定蜂蜜中60种兽药残留的LC-MS/MS检测方法。蜂蜜样品采用Mcllvaine缓冲溶液(pH 4)稀释,5%乙酸乙腈提取,提取液经盐析,NH2吸附剂分散固相萃取净化,LC-MS/MS动态多反应监控模式测定。在3个添加水平下(n=6),60种兽药平均回收率在70%～120%范围内的占比分别为96.7%,98.3%和98.3%,RSD为0.6%～20%。在0.1～1000μg/kg范围内,81.7%的目标物的线性相关系数(r2)>0.995,检出限和定量限范围分别为0.01～17.99μg/kg和0.02～59.97μg/kg。对16个市售蜂蜜样品进行测定,其中5个样品中检出磺胺类、喹诺酮类、硝基咪唑类等兽药残留。该方法具有一次处理样品,可同时测定60种兽药残留的特点,适合于蜂蜜中多类兽药的高通量筛查检测。     

超高效液相色谱-四极杆-飞行时间质谱法快速筛查牛奶中的农药和兽药残留

利用超高效液相色谱-四极杆-飞行时间质谱(UPLC-Q-TOF-MS)技术建立了牛奶中42种农药和兽药残留的快速检测方法。目标药物包括常用的13种农药和29种兽药,采用QuEChERS（Quick, Easy, Cheap, Effective, Rugged, and Safe）方法进行样品前处理。牛奶样品经含1%甲酸的乙腈溶液提取,同时加入无水硫酸钠和氯化钾盐析,提取液经C18填料净化后直接测定。目标药物经ACQUITY UPLCTMBEH C18柱分离,以乙腈和0.1%甲酸水溶液为流动相进行梯度洗脱,采用正离子全信息串联质谱扫描模式(MSE)进行检测。结果表明,牛奶中42种农药和兽药的定量限(LOQ, S/N=10)为1～100 μg/kg; 3个加标水平的平均回收率为68.2%～129.1%,相对标准偏差为2.8%～30.8%。该方法快速简便、灵敏度较高,可用于牛奶中42种农兽药的快速筛查。     

会理地区种植基地果蔬中农药残留现状与分析

为了提高基层农检站对种植基地农产品的监管,了解会理地区基地果蔬中的农药残留状况,分析区域内基地果蔬的质量安全现状,采集会理地区25个乡镇种植基地果蔬样品497个,采用气相色谱和高效液相色谱法对样本中的40种农药进行残留检测和分析.497个果蔬中共检出农药123次,检出率最高为氯氟氰菊酯(32次)和毒死蜱(25次).农药残留检出率较高,超标率小,有2个不合格样品,总体合格率为99.6%.不同果蔬的农药污染不同,蔬菜农残检出率排名前三为叶菜类、豆类、茄果类,水果检出率排名前三为葡萄、李子和桃.果蔬中农残检出率较高的样本分布在春、夏季.重点发现该区域基地蔬菜中频繁检出毒死蜱,因此,应多向种植户宣传其使用范围,勿再混用于蔬菜种植.应加大禁限用农药的查处力度,加强农药生产和销售监管,提高种植基地农产品质量安全.     

QuEChERS结合液相色谱-串联质谱法快速测定奶酪中多类兽药残留

建立了一种快速测定奶酪中大环内酯类、磺胺类、喹诺酮类和四环素类共50种兽药残留的分析方法。方法采用改进后的QuEChERS对奶酪进行前处理。样品在加入Na₂EDTA缓冲液和陶瓷均质子后,在5%(v/v)醋酸乙腈条件下进行振荡提取,氯化钠和无水硫酸钠用于盐析,经C₁₈吸附剂净化后,供液相色谱-串联质谱(LC-MS/MS)测定。目标化合物经ZORBAX-SB-C₁₈柱梯度分离,在正离子动态多反应监测模式下进行检测。结果表明,奶酪中50种兽药的定量限(LOQ)为0.05~20 μg/kg;在3个添加浓度(20、50、100 μg/kg)下(n=6),平均回收率在70%~120%范围内的比例分别为94%、92%和96%,相对标准偏差(RSD)为1%~14%。对市售的7个样品进行测定,其中两个样品分别检出了微量的罗红霉素和氟甲喹兽药残留。该方法快速简便,适用于奶酪中兽药残留的快速检测和日常监控。     

复合式净化体系结合实时直接分析-串联质谱测定畜禽肉中41种兽药残留北大核心CSCD

在食品安全问题屡禁不止的市场环境下,兽药残留带来的食品安全问题以及耐药性传递带来的生物安全问题备受关注。该研究建立了复合式净化体系结合实时直接分析-串联质谱(DART-MS/MS)测定畜禽肉中41种兽药残留的方法。首先采用单标溶液进样的方式优化筛选出最佳定性离子对和定量离子对,再按照欧盟2002/657准则要求对溶剂混合标准溶液和基质混合标准溶液中各兽药化合物的丰度比进行计算,确保DART-MS/MS对41种兽药化合物的准确定性,最后将QuEChERS技术的净化原料丙基乙二胺(PSA)、十八烷基键合硅胶(C18)与多壁碳纳米管相结合,形成复合式净化前处理体系,实现了对畜禽肉样品中物理化学性质差异较大的41种兽药化合物的一步净化。实验以41种兽药化合物的定量离子峰面积为判定指标,考察了DART离子源中关键性参数对其检测的影响。针对41种兽药化合物解离常数(pK_(a))的差异及各样品基质的特点,以回收率为判定指标分别对提取溶剂、基质分散溶剂、净化方式等进行了优化。确认了以1.0%甲酸乙腈溶液为提取溶剂,含50 mg PSA、50 mg C18的多壁碳纳米管为净化小柱的样品预处理方式。喹诺酮类、磺胺类、硝基咪唑类38种兽药在2~200μg/L内线性关系良好,相关系数为0.9979~0.9999,检出限为0.5μg/kg,定量限为2.0μg/kg;3种氯霉素类兽药在0.5~20μg/L内线性关系良好,相关系数为0.9995~0.9997,检出限为0.1μg/kg,定量限为0.5μg/kg。鸡肉、猪肉、牛肉、羊肉等不同基质样品中的41种兽药在低、中、高3个加标水平下的加标回收率为80.0%~109.6%,日内精密度为0.3%~6.8%,日间精密度为0.4%~7.0%。通过采用国家标准方法和该研究所建立的方法同时对100批次畜禽肉样品(猪肉、鸡肉、牛肉、羊肉各25批次)以及部分已知阳性样品进行测定,结果表明,3批次猪肉样品中检出磺胺嘧啶(89.2、78.1、105.3μg/kg),2批次鸡肉样品中检出沙拉沙星(56.3、102.0μg/kg),其余样品未检出;两种方法对已知阳性样品的检测结果一致。该方法具有操作快速、简单、灵敏、绿色等优点,适用于畜禽肉中多种兽药残留的同时筛查检测。     

液相色谱-四极杆/ 飞行时间质谱快速筛查与确证苹果、番茄和甘蓝中的281种农药残留

建立了苹果、番茄和甘蓝中281种农药残留的QuEChERS结合液相色谱-四极杆/飞行时间质谱(LC-Q-TOF/MS)快速筛查方法。方法采用1%醋酸乙腈提取样品,经丙基乙二胺(PSA)净化,LC-Q-TOF/MS测定。281种农药在苹果、番茄和甘蓝中3个添加水平下的回收率在70%～120%范围的比例分别为98.6%、99.3%和98.2%;回收率的相对标准偏差(RSD)均≤20%(n=5);在0.25～10倍最大残留限量(MRL)的含量范围内,线性相关系数r²≥0.99的农药比例分别为95.7%、96.1%和98.2%;检出限分别为0.03～4.47、0.01～4.49和0.02～3.61 μg/kg。本方法采用精确质量数据库和谱图库检索的方式,实现了不用农药标准品对照而完成对果蔬中农药残留的快速筛查,提高了定性鉴别的准确性。应用所建立的方法对30个市售果蔬样品进行筛查,共检出13种农药残留。其中,甘蓝中甲胺磷的含量超过了GB 2763-2012《食品安全国家标准\5食品中农药最大残留限量》和欧盟的MRL;番茄中鱼藤酮的含量超出欧盟的MRL。     

液相色谱-四极杆/ 飞行时间质谱快速筛查与确证苹果、番茄和甘蓝中的281种农药残留

建立了苹果、番茄和甘蓝中281种农药残留的QuEChERS结合液相色谱-四极杆/飞行时间质谱(LC-Q-TOF/MS)快速筛查方法。方法采用1%醋酸乙腈提取样品,经丙基乙二胺(PSA)净化,LC-Q-TOF/MS测定。281种农药在苹果、番茄和甘蓝中3个添加水平下的回收率在70%～120%范围的比例分别为98.6%、99.3%和98.2%;回收率的相对标准偏差(RSD)均≤20%(n=5);在0.25～10倍最大残留限量(MRL)的含量范围内,线性相关系数r²≥0.99的农药比例分别为95.7%、96.1%和98.2%;检出限分别为0.03～4.47、0.01～4.49和0.02～3.61 μg/kg。本方法采用精确质量数据库和谱图库检索的方式,实现了不用农药标准品对照而完成对果蔬中农药残留的快速筛查,提高了定性鉴别的准确性。应用所建立的方法对30个市售果蔬样品进行筛查,共检出13种农药残留。其中,甘蓝中甲胺磷的含量超过了GB 2763-2012《食品安全国家标准\5食品中农药最大残留限量》和欧盟的MRL;番茄中鱼藤酮的含量超出欧盟的MRL。     

Determination of pesticide residues in peaches by using gas chromatography and mass spectrometric detection

ABSTRACT

A multi-residue method using selected ion monitoring mode GC-MSD has been developed for the quantitative analysis of 30 widely used pesticides in fresh peaches produced in Swat Malakand, Pakistan. The planned methodology involved a sample extraction procedure using liquid-liquid partition with acetonitrile followed by a clean-up step based on solid-phase extraction (SPE). Method validation was performed in accordance with European Union guidelines. The European Union criteria (recovery 70–120%, RSD <20%) were met for majority of pesticides. For most of the pesticides, signal-to-noise ratios were good and background-corrected mass spectra often contained sufficient diagnostic to enable identity and confirmation. The limits of quantification (LOQs) were in the range 0.01–1.0 mg/kg. The above method was successfully applied to the analysis of peach samples (n = 30) from the field. Pesticide concentration in real peach samples was compared with the maximum residue levels (MRLs). Pesticide residues were detected in 73% of the peach samples. Most frequent residues were metalaxyl, α-cypermethrin, azoxystrobin, dimethoate, tebuconazol, λ-cyhalothrin and spiromesifin in peach samples.     

Pesticide residue determination in vegetables from western China applying gas chromatography with mass spectrometry

In this study,an effort has been made to evaluate the pesticide residues in vegetables from western China. Fifty‐one pesticides, including organophosphorus, organochlorine, carbamate and pyrethroid, were detected in 369 commonly used vegetables by GC‐MS. Concentrations of organophosphorus pesticides were detected ranging from 0.0008 to 18.8200 mg/kg, among which organophosphorus pesticide concentrations exceeded their maximum residue levels (MRLs) in five samples. Carbamate and organochlorine pesticides were determined to have concentrations in the range of 0.0012–0.7928 mg/kg. The residual concentrations of carbamate pesticides in six samples and organochlorine pesticides in four samples exceeded their MRLs. The residual concentrations of five pyrethroid pesticides were within the range of 0.0016–6.0827 mg/kg and the pyrethroid residues in two samples exceeded their MRLs. The results revealed that pesticide residues in 70.73% of the vegetables samples were not detected, while in the rest of vegetables there were one or more pesticide residues and some even exceeded their MRLs, which would threaten the health of consumers. Our work provides significant information for the food safety regulations to control the excessive use of some pesticides on those kinds of vegetables from western China. Copyright © 2016 John Wiley & Sons, Ltd.     

Determination of five pesticide residues in oranges by matrix solid-phase dispersion and liquid chromatography to estimate daily intake of consumers.

Residues of benzoylphenylurea insecticides (diflubenzuron, hexaflumuron, and flufenuxuron), carboxamide acaricides (hexythiazox), and carbamate insecticides (benfuracarb) were determined in 150 orange fruit samples from September 1998 to June 1999, to estimate exposure of the Valencian population to oranges contaminated with these newly developed pesticides. The method for monitoring these residues is based on matrix solid-phase dispersion and liquid chromatography with UV or atmospheric pressure chemical ionization/mass spectrometry (APCI/MS) detection. Orange samples representing 11 varieties were collected from an agricultural cooperative and examined for the 5 pesticides. In 74.6% of all analyzed samples, the pesticide residues were below detection limits, which ranged from 0.002 to 0.05 mg/kg. Residues were detected in 25.4% of the samples, with higher incidences of diflubenzuron, flufenuxuron, hexythiazox, and benfuracarb; hexaflumuron residues were detected only occasionally. Two different pesticides exceeded maximum residue limits (MRLs) in 4 (2.7%) of the orange samples. Diflubenzuron surpassed 1 mg/kg MRL in 3 samples and flufenuxuron exceeded the 0.3 mg/kg MRL in 3 samples. The estimated daily intake of the 5 pesticide residues during the period was 0.077 microg/kg body weight per day. This value is much lower than the total admissible daily intake proposed by the Food and Agricultural Organization and the World Health Organization.     

Monitoring pesticide residues in Egyptian fruits and vegetables in 1995.

Organophosphorus, dithiocarbamates, and some synthetic pyrethroids pesticides, which are commonly used in Egypt for pest control, were monitored, as well as persistent organochlorines, which had been prohibited from use several years ago. Fruit and vegetable samples (397) were collected from 8 local markets and examined for 52 pesticides. Of all analyzed samples, 42.8% contained detectable residues, of which 1.76% exceeded their maximum residue limits (MRLs). The rates of contamination with the different pesticides were 0-86%. However, violation rates among contaminated products were very low, ranging from 0 to 4.6%. In general, organochlorine pesticide residues were not detected in most samples. Dithiocarbamate residues were found in 70.4% of 98 samples analyzed for dithiocarbamates, but only one grape sample had residues exceeding the MRL established by the Codex Committee on Pesticide Residues.     

Measurement of permethrin,deltamethrin and malathion pesticide residues in the wheat flour and breads and probabilistic health risk assessment: a case study in Kermanshah,Iran

ABSTRACT

This study was conducted to investigate the residues of pyrethroid and organophosphorus pesticide in flour and breads which were collected from local markets in Kermanshah province, Iran. Four different types of breads and two types of flour samples with high distribution were taken from market and their residues of pesticides were measured. A simple dispersive liquid–liquid microextraction (DLLME) method with solidification of floating organic drop was developed for the measurement. The health risk of these pesticides on adults and children health was assessed by target hazard quotient (THQ) using Monte Carlo simulation (MCS) method. About, 15% and 11.1% of total samples contained detectable levels of deltamethrin and malathion, respectively. None of the tested samples showed any permethrin residue. The results from all samples showed that none of the pesticides exceeded the maximum residue limits (MRLs). About 85% of pesticide residue detections were observed in tropical and mild weather area which is due to high consumption rate of insecticides in these areas. The percentile 95% of THQ is due to bread ingestion content of deltamethrin which was 0.033 and 0.070 for the adults and children, respectively, while this value for malathion was found to be, 0.015 and 0.030, respectively. In the adults and children for both deltamethrin and malathion, the percentile 95% of THQ value were lower than 1 (acceptable level). The non-carcinogenic health risk assessment indicated that bread consumers in Kermanshah province are not at a considerable risk because of deltamethrin and malathion.     

Quantitative analysis of six pesticides in fruits by capillary electrophoresis-electrospray-mass spectrometry

A method to identify and quantify six pesticide residues - dinoseb, pirimicarb, procymidone, pyrifenox, pyrimethanil, and thiabendazole - in peaches and nectarines using capillary electrophoresis-electrospray ionization-quadrupole ion trap-tandem mass spectrometry (CE-ESI-MS/MS) is described. Separation was carried out using a buffer of 0.3 M ammonium acetate at pH 4 with 10% methanol. Pesticide residues present in peach and nectarine samples were preconcentrated by solid-phase extraction using C(18), eluted with CH(2)Cl(2), concentrated to dryness, and redissolved in buffer to obtain lower detection limits. The recoveries of the analytes ranged from 58 to 99% and the relative standard deviations were 9 to 19%. Under optimized CE-MS/MS conditions the minimum detectable levels for the six pesticides in spiked peach samples were between 0.01 mg/kg for pirimicarb and 0.05 mg/kg for procymidone with pressure injection of 50 mbar for 5 s (5 nL) at a signal-to-noise ratio of 3, which constitutes a severalfold increase in sensitivity compared to CE-MS, using a single quadrupole, and to conventional CE-UV. The potential of the method was demonstrated by analyzing different samples taken from regional agricultural cooperatives. The pesticides most often detected were thiabendazole and procymidone.     

Analytical methods for pesticide residues in rice

Rice consumption has increased worldwide over recent decades, as it has become one of the most common foods. Although the analysis of environmental samples coming from rice areas has been well documented, there is less information regarding the analysis of pesticide residues in rice-grain samples.Rice (paddy, brown and white) can be considered a complex matrix, leading to difficulties in the application of the different multiresidue methods described in the literature. This review addresses and compares the principal extraction and clean-up methodologies [e.g., liquid-liquid extraction, solid-phase extraction, pressurized-liquid extraction, QuEChERS (quick, easy, cheap, effective, rugged and safe), gel-permeation chromatography and supercritical-fluid extraction - with QuEChERS-based methods being the most frequently employed].Traditionally, the determination of pesticide residues in rice has been based on gas chromatography with mass spectrometry (MS). But the application of new classes of pesticides has driven laboratories to increase the use of liquid chromatography with tandem MS. The limits of detection and quantification are in the ranges 0.09-90 μg/kg and 1-297 μg/kg, respectively, for the methodologies reported. These values agree with the current internationally-accepted maximum residue limits (MRLs).Based on the European Union (EU) database, more than 3000 analyses of pesticide residues in rice have been performed by official EU laboratories over the past decade. Of these, 6% reported pesticide residues above the MRLs.Physico-chemical properties can explain the occurrence of pesticides in rice commodities: lipophilic pesticides are frequently found in brown rice, whereas fungicides are mainly found in milled rice. Carbendazim, malathion, iprodione, tebuconazole, quinclorac and tricyclazole are the pesticides most frequently found in white rice, while buprofezin, hexaconazole, chlorpyrifos and edifenphos are most commonly found in paddy rice.Pesticide-residue concentrations can be affected during rice processing - with concentrations generally lower in the final products. However, few studies focusing on primary processing have addressed the setting of precise values applicable for the processing factors.     

Analysis of pesticides in fruits by pressurized liquid extraction and liquid chromatography-ion trap-triple stage mass spectrometry

A multi-residue method using pressurized liquid extraction (PLE) and liquid chromatography-quadrupole ion trap-triple stage mass spectrometry (LC-IT-MS(3)) has been developed for determining trace levels of pesticides in fruits. The selected pesticides can be distinguished in: benzimidazoles and azoles, organophosphorus, carbamates, neonicotinoids, and acaricides. PLE has been optimized to extract these pesticide residues from oranges and peaches by studying the effect of experimental variables on PLE efficiency. Samples were extracted at high temperature and pressure (75 degrees C and 1500psi) using ethyl acetate as extraction solvent and acidic alumina as drying agent. The recoveries obtained by PLE ranged from 58% to 97% and the relative standard deviation (RSDs) from 5% to 19%. The limits of quantification (LOQs) of the compounds were from 0.025 to 0.25mgkg(-1), which are well-below the maximum residue limits (MRLs) established by the European Union (EU) and the Spanish legislations.     

Multi-residue analysis of pesticide residues in mangoes using solid-phase microextraction coupled to liquid chromatography and UV-Vis detection

A sensitive and efficient solid‐phase microextraction method, based on liquid chromatography and UV–Vis detection, was developed and validated as an alternative method for sample screening prior to LC‐MS analysis. It enables the simultaneous determination of ten pesticides in mango fruits. The fiber used was polydimethylsiloxane while optimum SPME conditions employed have been developed and optimized in a previous work. The desorption process was performed in static mode, using acetonitrile as a solvent. The results indicate that the DI‐SPME/HPLC/UV–Vis procedure resulted in good linear range, accuracy, precision and sensibility and is adequate for analyzing pesticide residues in mango fruits. The limits of detection (0.6–3.3 μg/kg) and quantification (2.0–10.0 μg/kg) were achieved with values lower than the maximum residue levels (MRLs) established by Brazilian legislation for all pesticides in this study. The average recovery rates obtained for each pesticide ranged from 71.6 to 104.3% at three fortification levels, with the relative standard deviation ranging from 4.3 to 18.6%. The proposed method was applied for the determination of the aforementioned compounds in commercial mango samples and residues of azoxystrobin, fenthion, permethrin, abamectin and bifenthrin were detected in the mango samples, although below the MRLs established by Brazilian legislation.