遇见数据集

茶叶农药残留检测与质量评估数据集

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贵州省数据知识产权登记平台2025-09-22 更新2025-09-23 收录
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资源简介:

本数据集的生成遵循以下规则与算法: 1.检测方法标准化: 采用国际标准 BS EN 15662:2018 及中国国家标准(如GB/T 23204-2008)进行农药残留检测。使用GC-MS/MS和LC-MS/MS等高精度仪器进行定量分析。 2.判定逻辑:检测结果与欧盟限量标准(EC)No 396/2005进行比对,判定是否超标。对于无限量标准的农药,标注“需确认”,并依据检测值与检出限(LOD)进行风险提示。 3.数据处理规则:检测结果低于检出限(LOD)的记为“ND”(未检出)。 复合农药(如灭菌丹总量)按国际惯例进行加和计算(如 Folpet + 2×Phthalimide)。 4.质量控制: 所有检测均在CNAS认可实验室完成,确保数据的可靠性与可追溯性。

This dataset is generated in accordance with the following rules and algorithms: 1. Standardization of detection methods: Pesticide residue testing is conducted in accordance with international standards BS EN 15662:2018 and Chinese national standards (e.g., GB/T 23204-2008). Quantitative analysis is performed using high-precision instruments such as GC-MS/MS and LC-MS/MS. 2. Judgment logic: The test results are compared against the EU maximum residue limit (MRL) standard Regulation (EC) No 396/2005 to determine whether they exceed the allowable limits. For pesticides without established MRLs, they will be marked as "Confirmation Required", and risk prompts will be issued based on the detected values and the limit of detection (LOD). 3. Data processing rules: Test results below the limit of detection (LOD) are recorded as "ND" (Not Detected). For combined pesticides (e.g., total folpet), the calculation is performed by summation in accordance with international practices (e.g., Folpet + 2×Phthalimide). 4. Quality control: All tests are conducted in CNAS-accredited laboratories to ensure the reliability and traceability of the data.

创建时间:
2025-09-22
搜集汇总
数据集介绍
茶叶农药残留检测与质量评估数据集 数据集图片
背景与挑战
背景概述
该数据集由贵州馥远茶业有限公司自行产生,规模为21kb,年更新,专注于茶叶农药残留检测与质量评估。它采用标准化检测方法(如BS EN 15662:2018)和高精度仪器,适用于政府监管、企业质量控制、科研及消费者权益保护等多场景,确保数据可靠性和风险监测。
以上内容由遇见数据集搜集并总结生成
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