Labeling of pickled vegetable products produced by agroindustries: compliance analysis based on the Brazilian legislation

Q2 Agricultural and Biological Sciences Food Science and Technology Pub Date : 2023-12-19 DOI:10.5327/fst.00053
P. E. Lozer, D. K. Rosario, Jackline Freitas Brilhante de SÃO JOSÉ
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Abstract

Labeling is an important tool used to provide consumers with information about food products in compliance with health regulations. The aim of this study was to investigate the compliance of labels associated with pickled vegetable products produced by rural family agroindustries in the Serrana Region, Espírito Santo State, Brazil, with the Brazilian sanitary surveillance legislation. Secondary data from the State Food Monitoring Program developed by Espírito Santo State’s sanitary surveillance agency were herein used. Collected data were systematized into a legislation-based checklist comprising 108 items that were divided into 8 blocks, namely, General principles, Language, Mandatory information, Mandatory information presentation and distribution, Voluntary labeling, Gluten, Allergens, and Nutritional labeling of packaged foods. The results were analyzed through descriptive statistics, multivariate data analysis based on the Ward method, and non-hierarchical data analysis based on the K-means method. The minimum and maximum adequacy rates reached 23.1% and 94.3%, respectively, and the mean adequacy rate was 57.1%. The highest non-compliance mean values were linked to nutritional labeling (66.4%), gluten-incidence indication (55.2%), voluntary labeling (56.0%), and mandatory information presentation and distribution (42.8%). All product labels were classified as non-compliant; therefore, the health legislation was not met.
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农业企业生产的腌制蔬菜产品的标签:基于巴西立法的合规性分析
标签是一种重要的工具,用于向消费者提供符合卫生法规的食品信息。本研究旨在调查巴西圣埃斯皮里图州塞拉纳地区农村家庭农业企业生产的腌制蔬菜产品的相关标签是否符合巴西卫生监督法规。本文使用的二手数据来自圣埃斯皮里图州卫生监督机构制定的州食品监督计划。收集到的数据被系统化为一个基于立法的核对表,包含 108 个项目,分为 8 个模块,即一般原则、语言、强制性信息、强制性信息展示和分发、自愿标签、麸质、过敏原和包装食品的营养标签。研究结果通过描述性统计、基于 Ward 法的多元数据分析和基于 K-means 法的非层次数据分析进行了分析。最低和最高合格率分别为 23.1%和 94.3%,平均合格率为 57.1%。不符合率平均值最高的是营养标签(66.4%)、麸质发生率指示(55.2%)、自愿标签(56.0%)以及强制性信息展示和分发(42.8%)。所有产品标签都被归类为不合规;因此,不符合卫生法规。
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来源期刊
Food Science and Technology
Food Science and Technology 农林科学-食品科技
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