Evidence map›Paper›PMID 42279786›Full record

ArticleFoods (Basel, Switzerland)2026

A Comprehensive Instrumental Analysis Framework for Assessing the Dissolvability and Taste Properties of Plant Extract Instant Granules.

Xiao Ma, Zhaozhou Lin, Yidan Wang, Hui Jiang, Juntao Xie, Qifei Gu, Yifan Hu, Gan Luo, Bing Xu

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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

9 authors.

Xiao MaDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, China.
Zhaozhou LinDepartment of Drug Screening, Beijing Tongrentang Technology Development Co., Ltd., Beijing 100079, China.
Yidan WangDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, China.
Hui JiangDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, China.
Juntao XieDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, China.
Qifei GuDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, China.
Yifan HuDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, China.
Gan LuoDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, China.
Bing XuDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, China.

Funding

Ministry of Industry and Information Technology No. TC2308068
6 · The paper itself

Abstract

Flavor profile and water dissolvability serve as core evaluation benchmarks for the quality of food and medicinal plant-derived instant granules. Currently, studies integrating flavor and dissolvability analysis to comprehensively characterize the overall performance of such granules remain scarce, and the existing literature lacks systematic comparative research on commercial products across multiple sources and batches. This study investigated 90 batches of four categories of plant extract instant granules and established a dynamic-static joint evaluation system coupled with multiple indicators and the Analytic Hierarchy Process (AHP). The three primary indicators were dissolving extent, dissolving rate, and taste, with equal weights assigned to each; the secondary indicators were classified and integrated based on the results of Principal Component Analysis (PCA) and correlation matrix. Quantitative analysis revealed that the comprehensive evaluation scores of all 90 batches of samples fluctuated between 0.5406 and 0.9503, and obvious disparities existed among different granule varieties. This multi-index evaluation framework effectively avoids the subjective bias inherent in conventional evaluation approaches, and lays a solid scientific foundation for quality supervision, formula optimization research and development, as well as market popularization of plant-based instant granules.

Indexed as

analytic hierarchy processelectronic tongueinstant granulesmulti-criteria evaluationquality assessmentrehydration performance

Identifiers

PMID42279786
PMCPMC13257170

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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.