遇见数据集

诸暨市鸡蛋中恩诺沙星含量安全评价检测数据

收藏
浙江省数据知识产权登记平台2023-12-09 更新2024-05-08 收录
官方服务:

资源简介:

为保证鸡蛋安全性,需要对鸡蛋中恩诺沙星含量进行把控。《食品安全国家标准 食品中兽药最大残留限量》(GB 31650—2019)中规定,鸡蛋中恩诺沙星不得检出。本数据主要用于监测诸暨市流通领域鸡蛋含量指标的情况,为监管部门提供监管依据1、.数据采集:数据采集于诸暨市场的抽检样品;2、对我市市场的抽检产品的检测值按照如下公式进行计算:X=C*V*f/m,式中:X为试样中待测组分含量,单位为微克每千克(ug/kg);C为试样待测液中恩诺沙星含量,单位为微克每升(ug/L);V为试样待测液定容体积 ,单位为毫升(mL);m为试样质量 ,单位为克(g) 。可得检查项目恩诺沙星的含量数据。3.将以上检测数据对比GB 31650-2019《食品安全国家标准 食品中兽药最大残留限量》中标定的数据要求,未检出为合格,检出为不合格。

To ensure egg safety, it is necessary to control the enrofloxacin content in eggs. The National Food Safety Standard: Maximum Residue Limits for Veterinary Drugs in Foods (GB 31650—2019) stipulates that enrofloxacin shall not be detected in eggs. This dataset is primarily used to monitor the enrofloxacin content indicators of eggs in the circulation market of Zhuji City, providing regulatory support for relevant supervision departments. 1. Data Collection: The dataset is sourced from randomly sampled surveillance specimens collected from markets in Zhuji City. 2. Calculation Formula: The detection values of the sampled products in Zhuji's markets are calculated using the following formula: X = C × V × f / m Where: - X: Content of enrofloxacin (the target analyte) in the test sample, unit: micrograms per kilogram (ug/kg); - C: Concentration of enrofloxacin in the sample test solution, unit: micrograms per liter (ug/L); - V: Constant volume of the sample test solution, unit: milliliters (mL); - m: Mass of the test sample, unit: grams (g). The enrofloxacin content data for the inspection item can be obtained via this calculation. 3. Qualification Judgment: Compare the aforementioned detection data with the requirements specified in GB 31650-2019 National Food Safety Standard: Maximum Residue Limits for Veterinary Drugs in Foods. Samples with no detected enrofloxacin are deemed qualified, while those with detected enrofloxacin are deemed unqualified.

创建时间:
2023-11-20
搜集汇总
数据集介绍
诸暨市鸡蛋中恩诺沙星含量安全评价检测数据 数据集图片
特点
该数据集包含诸暨市鸡蛋中恩诺沙星含量的检测数据,规模为27729条,每年更新,用于监测鸡蛋安全性,确保符合国家标准GB 31650-2019的要求。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务