猫粮中水分含量安全评价检测数据

猫粮中的水分可以维持猫咪的生命活动，缺少水分容易导致猫咪尿结石、尿闭等泌尿系统疾病，它在猫粮中的含量需要受到控制以确保宠物的健康。这些数据可以用于指导生产商制定猫粮配方，用于评估猫粮中的水分含量符合标准。以确保猫粮的质量和适宜性。帮助消费者选择符合标准的猫粮，保障宠物健康饮食。数据采集： 收集市面上来自不同品牌和种类的猫粮样本。对每个样本进行编号，并记录样品名称、检测项目（水分含量）、实测值。
数据检测： 使用适当的实验方法和仪器，对每个样本中的水分含量进行检测。确保检测过程准确可靠。
数据处理：评估分值具体公式如下：水分含量≤10%,则归为A类，得分；水分含量标准值/检验含量*100，检测分类则归为A类，其余归B类。水分含量合格率分值=水分含量标准值/检测含量*100；检测数量合格率分值=检测数量合格率*100，则总评估分值=水分含量合格率分值*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”
数据应用： 将检测结果记录下来，包括超标比例和合格判定。这些数据可以用于指导生产商制定猫粮配方，确保猫粮中的水分含量符合安全标准。以确保猫粮的质量和适宜性。帮助消费者选择符合标准的猫粮，保障宠物健康饮食。

Water in cat food supports the vital physiological activities of cats. Insufficient water intake can easily induce urinary system diseases in cats, including urolithiasis and urinary retention. Therefore, the moisture content in cat food must be strictly controlled to safeguard pet health. These datasets can be used to guide manufacturers in formulating optimal cat food recipes, verify whether the moisture content of cat food conforms to relevant standards, ensure the quality and suitability of cat food products, and assist consumers in selecting cat food that meets regulatory requirements, thereby protecting the healthy diet of companion animals.

### Data Collection
Cat food samples from various brands and product types available on the market were collected. Each sample was assigned a unique identification number, and the sample name, detection item (moisture content), and measured moisture value were recorded.

### Data Detection
Appropriate experimental methods and analytical instruments were employed to measure the moisture content of each sample, ensuring the accuracy and reliability of the entire detection process.

### Data Processing
The specific formulas and criteria for evaluation scoring are as follows:
1. Classification rule: If the measured moisture content ≤ 10%, the sample is categorized as Class A, with the score calculated as (standard moisture content value / measured moisture content) × 100; samples meeting this criterion are classified as Class A, while all remaining samples are classified as Class B.
2. Score calculation: The moisture content qualified rate score = (standard moisture content value / measured moisture content) × 100; the detection quantity qualified rate score = (qualified sample detection ratio) × 100. The total evaluation score is calculated as: Total Score = (Moisture Content Qualified Rate Score × 0.5) + (Detection Quantity Qualified Rate Score × 0.5).
3. Rating standards: If the final total score (X) ≥ 90, the sample batch is rated as "Excellent"; if 80 ≤ X ≤ 89, it is rated as "Qualified"; if X < 80, it is rated as "Unqualified".

### Data Application
Test results including the proportion of non-compliant samples and qualified/unqualified judgments were documented. These datasets can be utilized to guide manufacturers in refining cat food formulations, ensuring that the moisture content of cat food meets safety standards, thus guaranteeing the quality and suitability of cat food products. Additionally, they can help consumers select cat food that complies with relevant standards, protecting the healthy dietary habits of their pets.

搜集汇总

数据集介绍

特点

该数据集包含51条猫粮水分含量检测记录，用于评估猫粮质量，确保宠物健康。数据每年更新，涵盖样品信息、检测结果和判定标准，适用于指导猫粮生产和消费者选择。