Dai Wei, Li Qiao, Zhu Ming, Liang Yixin, Cai Qiu, Wang Mian, Li Jie, Liu Kangshu, Wang Xingning
Comprehensive Technology Centre of Guiyang Customs, Guiyang 550081, China.
Se Pu. 2021 Nov;39(11):1213-1221. doi: 10.3724/SP.J.1123.2021.01029.
As among the most widely used pesticides in agriculture, plant growth regulators (PGRs) have a positive influence on plants. However, the overuse of PGRs may induce toxicity in food and even be hazardous to human health. Numerous studies have investigated the presence and residues of PGRs on vegetables and fruits. Animal-derived foods are one of the most dominant food sources providing nutrients to fulfil the daily dietary intake, and could also be potentially contaminated by PGRs. However, there is little information on PGR residues in animal-derived foods. Standardization also lacks among the techniques for PGR determination in animal-derived foods, thereby restricting the further establishment of pesticide usage and food safety regulations. Therefore, in this study, a rapid and effective method for analyzing chlormequat chloride, thidiazuron, and paclobutrazol in animal-derived food samples was established. The method primarily involves high performance liquid chromatography-tandem mass spectrometry combined with the use of isotope-labeled internal standards. The extraction and clean-up procedures were based on the QuEChERS method. The analytes were extracted from pork, beef, chicken, pork liver, egg, and milk samples using acetonitrile, followed by 4 g anhydrous magnesium sulfate (MgSO), and 1 g sodium chloride (NaCl). The supernatant was removed using a mixture of 50 mg -propyl ethylenediamine (PSA), 50 mg octadecyl silane (C18), and 150 mg MgSO, and then passed through a 0.22 μm membrane filter before determination. The Agilent ZORBAX Eclipse Plus C18 column (150 mm×3.0 mm, 1.8 μm) was used to separate the analytes under a gradient elution program, with acetonitrile and 5 mmol/L ammonium acetate solution as mobile phases. The analytes were detected by mass spectrometry using the positive and negative electrospray ionization modes under the multiple reaction monitoring mode. Matrix-matched calibration combined with internal standards was used to quantify the PGRs. The linear regression correlation coefficients () for the PGRs were all greater than 0.990 in the corresponding linear concentration ranges. Chlormequat chloride, thidiazuron, and paclobutrazol showed good linearities in the range of 0.1-100 μg/L for the egg and pork liver samples and 0.1-50 μg/L for the pork, beef, and chicken samples. For the milk samples, thidiazuron and paclobutrazol showed good linearities in the range of 0.05-10 μg/L, while chlormequat chloride showed linearity in the range of 0.05-5 μg/L. The limit of detection (LOD) and limit of quantification (LOQ) for each PGR were based on the signal-to-noise () ratios. Under optimal conditions, the LODs ranged from 0.01 μg/kg to 0.1 μg/kg, where the LOD was defined as the amount of the tested compound that generated an ratio higher than 3. In addition, the LOQs were in the range of 0.5-5 μg/kg, with an ratio higher than 10. The precision and accuracy were evaluated by recovery experiments. At the LOQ, twice the LOQ, and 10 times the LOQ, the mean recoveries were in the range of 70.0%-117.4%, and the relative standard deviations (RSDs) ranged from 0.8% to 16.1%. The results indicated that the proposed method is accurate and reliable. This method is a modification of the QuEChERS method, and is advantageous owing to its simplicity and high sensitivity. The use of matrix-matching calibration curves and internal standards can eliminate matrix interference, thereby increasing the accuracy of the method. This method satisfies the testing requirements for chlormequat chloride, thidiazuron, and paclobutrazol residues in animal-derived foods, and is promising for the determination of other PGRs or other types of pesticides in animal-derived foods.
作为农业中使用最广泛的农药之一,植物生长调节剂(PGRs)对植物有积极影响。然而,PGRs的过度使用可能会导致食品中毒性,甚至危害人体健康。众多研究调查了蔬菜和水果上PGRs的存在和残留情况。动物性食品是提供营养以满足每日膳食摄入量的最主要食物来源之一,也可能受到PGRs的潜在污染。然而,关于动物性食品中PGR残留的信息很少。动物性食品中PGR测定技术也缺乏标准化,从而限制了农药使用和食品安全法规的进一步制定。因此,本研究建立了一种快速有效的方法来分析动物性食品样品中的氯化氯胆碱、噻苯隆和多效唑。该方法主要涉及高效液相色谱-串联质谱联用同位素标记内标。提取和净化程序基于QuEChERS方法。使用乙腈从猪肉、牛肉、鸡肉、猪肝、鸡蛋和牛奶样品中提取分析物,然后加入4 g无水硫酸镁(MgSO)和1 g氯化钠(NaCl)。使用50 mg丙基乙二胺(PSA)、50 mg十八烷基硅烷(C18)和150 mg MgSO的混合物去除上清液,然后通过0.22 μm膜过滤器进行测定。使用安捷伦ZORBAX Eclipse Plus C18柱(150 mm×3.0 mm,1.8 μm)在梯度洗脱程序下分离分析物,以乙腈和5 mmol/L醋酸铵溶液作为流动相。在多反应监测模式下,使用正、负电喷雾电离模式通过质谱检测分析物。采用基质匹配校准结合内标对PGRs进行定量。在相应的线性浓度范围内,PGRs的线性回归相关系数()均大于0.990。对于鸡蛋和猪肝样品,氯化氯胆碱、噻苯隆和多效唑在0.1 - 100 μg/L范围内呈良好线性;对于猪肉、牛肉和鸡肉样品,在0.1 - 50 μg/L范围内呈良好线性。对于牛奶样品,噻苯隆和多效唑在0.05 - 10 μg/L范围内呈良好线性,而氯化氯胆碱在0.05 - 5 μg/L范围内呈线性。每个PGR的检测限(LOD)和定量限(LOQ)基于信噪比()。在最佳条件下,LOD范围为0.01 μg/kg至0.1 μg/kg,其中LOD定义为产生高于3的信噪比的被测化合物量。此外,LOQ范围为0.5 - 5 μg/kg,信噪比高于10。通过回收率实验评估精密度和准确度。在LOQ、两倍LOQ和十倍LOQ水平下,平均回收率在70.0% - 117.4%范围内,相对标准偏差(RSD)范围为0.8%至16.1%。结果表明所提出的方法准确可靠。该方法是对QuEChERS方法的改进,因其简单性和高灵敏度而具有优势。使用基质匹配校准曲线和内标可以消除基质干扰,从而提高方法的准确性。该方法满足动物性食品中氯化氯胆碱、噻苯隆和多效唑残留的检测要求,对于动物性食品中其他PGRs或其他类型农药的测定具有前景。