高油脂烘焙食品品质新鲜度与工艺合规性多维评价数据集

本数据集合源自食品检测实验室对市场流通及自制烘焙食品的质量监测记录。针对传统检测仅关注“合格/不合格”二元结论，无法量化产品新鲜度差异及潜在工艺风险的痛点，本数据集构建了基于国标限值的多维评价模型。通过对原始理化指标进行清洗与重构，算法计算了反映油脂氧化程度的“油脂氧化负荷系数”及反映添加剂使用水平的“工艺合规控制指数”。数据集最终生成了包含量化负荷值及“品质综合星级”在内的衍生评价数据，实现对烘焙食品货架期质量的精细分级，为食品安全风险预警与优选消费提供科学依据。

This dataset is derived from quality monitoring records of commercially distributed and homemade baked foods collected by food testing laboratories. Addressing the pain point that traditional detection methods only focus on the binary "qualified/unqualified" conclusion and fail to quantify product freshness differences and potential process risks, this dataset constructs a multi-dimensional evaluation model based on national standard limits. Through cleaning and restructuring of original physicochemical indicators, the algorithm calculates two derived indices: the "fat oxidation load coefficient" which reflects the degree of fat oxidation, and the "process compliance control index" which reflects the level of additive usage. Finally, the dataset generates derived evaluation data including quantified load values and the "comprehensive quality star rating", achieving fine-grained grading of the shelf-life quality of baked foods, and providing scientific basis for food safety risk early warning and optimal consumer selection.

搜集汇总

背景与挑战

背景概述

该数据集是一个针对高油脂烘焙食品的多维评价工具，基于国标限值构建了'油脂氧化负荷系数'和'工艺合规控制指数'，并衍生出'品质综合星级'，用于量化产品新鲜度和工艺合规性，实现精细分级。它支持食品安全风险分级监管和新零售渠道的优选选品，提升监管精准度和货架期管理效率。数据集包含75条脱敏记录，以xlsx格式月更新，适用于食品制造业的质量监测与消费指导。