Evidence map›Paper›PMID 40458081›Full record

ArticleFood science & nutrition2025

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

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

Abstract read
In one paragraph

Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jiyun BaekDepartment of Food Science and Biotechnology Ewha Womans University Seoul Republic of Korea.
Yerim HanDepartment of Nutritional Science and Food Management Ewha Womans University Seoul Republic of Korea.
Chaehyun KimDepartment of Nutritional Science and Food Management Ewha Womans University Seoul Republic of Korea.
You Rim KangDepartment of Food and Nutrition Shinhan University Uijeongbu Gyeonggi Republic of Korea.
Seung Hui BaikDepartment of Food and Nutrition Shinhan University Uijeongbu Gyeonggi Republic of Korea.
Yoon Jung ParkDepartment of Nutritional Science and Food Management Ewha Womans University Seoul Republic of Korea.
Ji-Myung KimDepartment of Food and Nutrition Shinhan University Uijeongbu Gyeonggi Republic of Korea.
Youngjoo KwonDepartment of Food Science and Biotechnology Ewha Womans University Seoul Republic of Korea.ORCID https://orcid.org/0000-0003-3582-4192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

dietary exposure assessmentmigration ratepartition ratiopercentage yieldprocessed foodsprocessed‐to‐raw food conversion factor

Identifiers

PMID40458081
PMCPMC12127218

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.