Evidence map›Paper›PMID 36496652›Full record

ArticleFoods (Basel, Switzerland)2022

A New Technique for Determining Micronutrient Nutritional Quality in Fruits and Vegetables Based on the Entropy Weight Method and Fuzzy Recognition Method.

Xuemei Zhao, Mengdong Zhu, Xiao Ren, Qi An, Junmao Sun, Dazhou Zhu

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Optimized Preparation ofCurrent issues in molecular biology · 2026
    Article
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  3. Plants (Basel, Switzerland) · 2025
    Review
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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

6 authors at 1 institution in 1 country.

Xuemei ZhaoInstitute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100080, China.ORCID 0000-0001-6616-1294
Mengdong ZhuInstitute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100080, China.
Xiao RenInstitute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100080, China.
Qi AnInstitute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100080, China.
Junmao SunInstitute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100080, China.
Dazhou ZhuInstitute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100080, China.
Ministry of Agriculture and Rural Affairs · CN

Funding

the Agricultural Science and Technology Innovation Program of CAAS "Evaluation and Regulation of Nutritional Quality of Major Agricultural Products CAAS-XTCX20190025
6 · The paper itself

Abstract

The human body needs nutrients to maintain its regular physiological activity. It requires 40 essential nutrients, including macronutrients (carbohydrates, protein, and fat) and micronutrients (vitamins and minerals). Although macronutrient intake has been improved in China due to people's increased social awareness, the population's micronutrient intake remains insufficient.

objectiveThe current food evaluation system is primarily used to assess macronutrients, while an effective assessment method for micronutrients is still lacking. Fruits and vegetables are low-energy food sources that mainly provide vitamins and minerals and supply the human body with various micronutrients.

methodsIn this paper, the entropy and fuzzy recognition methods were used to construct the Vitamin Index (Vitamin Index = Vitamin A Index + Vitamin Comprehensive Index + Vitamin Matching Index) and Mineral Index (Mineral Index = Calcium Index + Mineral Comprehensive Index + Mineral Matching Index) and to evaluate the micronutrient quality of 24 vegetables and 20 fruits.

resultsThe assessment results showed that Chinese dates displayed the highest Vitamin and Mineral Index among fruits (Vitamin Index = 2.62 and Mineral Index = 2.63), while collard greens had the highest Vitamin Index of the vegetables, at 2.73, and red amaranth had the highest Mineral Index, at 2.74.

conclusionsThe study introduces a new method for assessing the nutritional quality of micronutrients, which provides a new idea for assessing the nutrient quality of agricultural products.

Indexed as

entropy weight methodfuzzy mathematical methodhidden hungermethod constructionnutritional quality of fruits and vegetables

Identifiers

PMID36496652
PMCPMC9740144
OpenAlexW4310142609

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.