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猫粮中粗蛋白含量安全评价检测数据

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浙江省数据知识产权登记平台2024-01-12 更新2024-05-08 收录
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为了确保猫粮的质量和食用安全,对其中的粗蛋白含量进行检测,数据对象为粗蛋白的相关检测数据。通过这些数据,我们可以判断不同种类的猫粮中粗蛋白含量是否符合安全标准。这有助于监督和管理猫粮生产,保障猫咪的健康。帮助消费者选择符合标准的猫粮,保障宠物健康饮食。1. 数据采集:从不同种类的猫粮中随机抽取样品,为每个样品分配样品编号,并记录样品名称。 2. 数据检测:采用适当的检测方法和仪器对粗蛋白含量进行定量检测,得出实测值。 3. 数据处理:计算粗蛋白含量合格率和检测数量合格率,并将其与相应的标准值对比,计算超标比例,通过加权算法判断判断合格性。评估分值具体公式如下:粗蛋白含量>35%,检测分类则归为A类,其余归B类。粗蛋白含量合格率=检验含量/粗蛋白含量标准值;粗蛋白含量合格率分值=检验含量/粗蛋白含量标准值*100;检测数量合格率分值:检测数量合格率*100,则总评估分值=蛋白含量合格率分值*0.5+检测数量合格率分值*0.5。若最终分值(X)≥90分,则评定为“优秀”;80≤X≤89则评定为“合格”;X<80,则评定为“不合格”

To ensure the quality and food safety of cat food, this dataset focuses on the relevant detection data of crude protein content. By analyzing these data, we can verify whether the crude protein content in various types of cat food complies with safety standards, which supports the supervision and management of cat food production, protects the health of cats, and assists consumers in selecting eligible cat food to guarantee a healthy diet for their pets. 1. Data Collection: Randomly sample different types of cat food, assign a unique sample ID to each sample, and record the sample name. 2. Data Detection: Utilize appropriate detection methods and instruments to quantitatively measure the crude protein content, thereby obtaining the measured values. 3. Data Processing: Calculate the pass rate of crude protein content and the pass rate of detected samples, compare these metrics with their corresponding standard values, and compute the over-standard proportion. The qualification is determined via a weighted algorithm. The specific formulas for the evaluation score are listed below: - If the crude protein content exceeds 35%, the sample is categorized as Class A; otherwise, it is categorized as Class B. - Pass rate of crude protein content = Measured crude protein content / Standard crude protein content value - Score of crude protein content pass rate = (Measured crude protein content / Standard crude protein content value) × 100 - Score of detection quantity pass rate = Pass rate of detected samples × 100 - Total evaluation score = (Score of crude protein content pass rate) × 0.5 + (Score of detection quantity pass rate) × 0.5 - Final rating criteria: - "Excellent" if the final score (X) ≥ 90 - "Qualified" if 80 ≤ X ≤ 89 - "Unqualified" if X < 80
提供机构:
杭州直捷科技有限公司
创建时间:
2023-11-03
搜集汇总
数据集介绍
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特点
该数据集包含51条猫粮样品中粗蛋白含量的检测数据,用于评估猫粮质量和食用安全。数据每年更新,通过加权算法计算合格率,帮助监督猫粮生产,保障猫咪健康。
以上内容由遇见数据集搜集并总结生成
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