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用于估算各类加工食品原料摄入量的加工食品到原料食品转换因子的生成:膳食暴露评估的宝贵工具。

Generation of Processed-to-Raw Food Conversion Factors for Estimating Food Raw Material Intake From Various Processed Foods: Valuable Tools for Dietary Exposure Assessments.

作者信息

Baek Jiyun, Han Yerim, Kim Chaehyun, Kang You Rim, Baik Seung Hui, Park Yoon Jung, Kim Ji-Myung, Kwon Youngjoo

机构信息

Department of Food Science and Biotechnology Ewha Womans University Seoul Republic of Korea.

Department of Nutritional Science and Food Management Ewha Womans University Seoul Republic of Korea.

出版信息

Food Sci Nutr. 2025 Jun 1;13(6):e70064. doi: 10.1002/fsn3.70064. eCollection 2025 Jun.

Abstract

Estimating food intake is an important means of assessing dietary exposure to chemicals. However, while sources of concentration data (e.g., safety levels and nutrient content) are often available for food raw materials, foods are consumed in both processed and raw forms. Therefore, processed food intake levels must be properly converted to those of their constituent ingredients to accurately estimate food intake. On this premise, the current study aimed to generate processed-to-raw food conversion factors (PRCFs). To generate PRCFs, two approaches were primarily employed. One approach involved the percentage yield method, wherein conversion factors were generated by calculating reverse percentage yield. For foods that had undergone simple processing procedures (e.g., soaking and dehydration) as a whole foods, percentage yield was exclusively used. Nevertheless, numerous processed foods (e.g., milled grains and butter) are simultaneously produced from distinct fractions after undergoing separation from their initial raw materials. For these foods, PRCFs were derived using partition ratios in combination with reverse percentage yield. For the remaining processed foods (e.g., vinegars and tea infusions) in which weight changes were not easily traceable, the migration rate method, which calculates the content of specific components in the final processed food relative to that in the initial food ingredients, was utilized. The literature was extensively reviewed to collect the required data. In addition, polyphenol content was directly measured using the Folin-Ciocalteu assay to derive polyphenol migration rates for tea infusions and stocks prepared with spices. In total, the current study generated 120 PRCFs across diverse processing procedures and food types. These factors will serve as a valuable tool for the accurate estimation of food intake, thereby facilitating adequate dietary exposure assessments associated with food chemicals, such as pesticide residues, food contaminants, nutrients, and other substances.

摘要

估算食物摄入量是评估饮食中化学物质暴露的重要手段。然而,虽然通常可以获取食物原料的浓度数据来源(如安全水平和营养成分),但食物是以加工和未加工两种形式被食用的。因此,必须将加工食品的摄入量水平正确转换为其成分的摄入量水平,以便准确估算食物摄入量。在此前提下,本研究旨在生成加工食品与未加工食品的转换因子(PRCFs)。为了生成PRCFs,主要采用了两种方法。一种方法涉及百分产率法,即通过计算反向百分产率来生成转换因子。对于作为完整食品经过简单加工过程(如浸泡和脱水)的食物,仅使用百分产率。然而,许多加工食品(如磨制谷物和黄油)在从其初始原料分离后是由不同部分同时生产出来的。对于这些食物,PRCFs是通过结合反向百分产率使用分配比来推导的。对于其余难以追踪重量变化的加工食品(如醋和茶饮料),采用迁移率法,该方法计算最终加工食品中特定成分相对于初始食品成分中的含量。对文献进行了广泛综述以收集所需数据。此外,使用福林 - 西奥尔特法直接测量多酚含量,以得出茶饮料和用香料制备的汤料的多酚迁移率。本研究总共针对不同加工过程和食物类型生成了120个PRCFs。这些因子将作为准确估算食物摄入量的宝贵工具,从而有助于进行与食品化学物质相关的充分饮食暴露评估,如农药残留、食品污染物、营养素和其他物质。

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