芒果中农药残留吡唑醚菌酯抽检监测数据
收藏资源简介：
对平湖市市场上销售的芒果进行抽检监测，检测项目吡唑醚菌酯农药残留，吡唑醚菌酯农药在芒果中残留超标，存在一定风险隐患，通过监测为政府监管部门提供依据，避免农药残留超标而产生食品安全问题。1.样品来源：本项目监测样品全部来源于平湖市流通环节销售的芒果。2.数据检测：芒果样品依据GB/T 20769-2008标准，进行前处理后，采用液相色谱-串联质谱法进行检测，得出数据。3.数据判定：试样中吡唑醚菌酯的含量计算X=c×V×n/(m×1000)，式中X——试样中被测组分含量，单位mg/kg；c——被测组分浓度，单位ng/mL；V——试样溶液定容体积，单位mL；n——稀释倍数；m——试样质量，单位g。吡唑醚菌酯为安全指标，GB 2763-2021《食品安全国家标准 食品中农药最大残留限量》标准规定芒果中最大残留限量≤0.05mg/kg，大于为不合格。4.通过监测数据分析研判，对于有检出不合格的经商户，加强抽检监测频率，加大监管力度，切实保障农产品质量安全。
A spot inspection and monitoring was carried out on mangoes sold in the market of Pinghu City, targeting the pesticide residue of pyraclostrobin. It was found that the residual levels of pyraclostrobin in some mangoes exceeded the standard, posing certain potential risks. This monitoring provides a basis for government regulatory departments to avoid food safety issues caused by excessive pesticide residues. 1. Sample Source: All monitoring samples in this project were sourced from mangoes sold in the circulation links of Pinghu City. 2. Data Detection: After pretreatment according to the standard GB/T 20769-2008, the mango samples were detected using liquid chromatography-tandem mass spectrometry to obtain the test data. 3. Data Judgment: The content of pyraclostrobin in the test sample is calculated by the formula $X = c imes V imes n/(m imes 1000)$, where: $X$ represents the content of the detected component in the test sample, unit: mg/kg; $c$ represents the concentration of the detected component, unit: ng/mL; $V$ represents the constant volume of the sample solution, unit: mL; $n$ represents the dilution multiple; $m$ represents the mass of the test sample, unit: g. Pyraclostrobin is a safety indicator. The national food safety standard GB 2763-2021 *Maximum Residue Limits of Pesticides in Foods* stipulates that the maximum residual limit of pyraclostrobin in mangoes shall be ≤0.05 mg/kg, and samples with detected levels exceeding this value are deemed unqualified. 4. Through data analysis and risk assessment of the monitoring results, for merchants whose products are detected as unqualified, the frequency of spot inspection and monitoring will be increased, and supervision efforts will be strengthened to effectively ensure the quality and safety of agricultural products.
