Evidence map›Paper›PMID 40822519›Full record

ArticleFood science & nutrition2025

Modeling and Optimization of Microwave Vacuum Drying for Pinelliae Rhizoma: Integrating Drying Kinetics, Artificial Neural Networks, and Quality Preservation.

Pan Wang, Xiaoping Yang, Xiaopeng Huang, Guojun Ma, Shidong Zhang, Siqi Wang, Ming Wang, Zewen Zhu, Yanrui Xu, ZePeng Zang and 1 more

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Pan WangCollege of Mechanical and Electronical Engineering Gansu Agricultural University Lanzhou China.ORCID https://orcid.org/0009-0005-5291-5637
Xiaoping YangCollege of Mechanical and Electronical Engineering Gansu Agricultural University Lanzhou China.
Xiaopeng HuangCollege of Mechanical and Electronical Engineering Gansu Agricultural University Lanzhou China.
Guojun MaCollege of Mechanical and Electronical Engineering Gansu Agricultural University Lanzhou China.
Shidong ZhangLanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Science Lanzhou China.
Siqi WangLanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Science Lanzhou China.
Ming WangCollege of Plant Protection Gansu Agricultural University Lanzhou China.
Zewen ZhuCollege of Mechanical and Electronical Engineering Gansu Agricultural University Lanzhou China.
Yanrui XuCollege of Mechanical and Electronical Engineering Gansu Agricultural University Lanzhou China.
ZePeng ZangCollege of Mechanical and Electronical Engineering Gansu Agricultural University Lanzhou China.
Xu LiuCollege of Mechanical and Electronical Engineering Gansu Agricultural University Lanzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the effects of drying temperature and vacuum degree on the drying characteristics, color, rehydration ratio, nucleoside content, and microstructure of Pinelliae Rhizoma (PR) during microwave-vacuum drying (MVD). The results demonstrated that MVD significantly reduced the drying time and enhanced processing efficiency. Four different mathematical models and artificial neural network (ANN) predictive models are developed for further comparison. Among the models, the Midilli model provided the best fit for all samples (

Indexed as

artificial neural networksdrying characteristicsmicrostructuremicrowave vacuum dryingPinelliae RhizomaPinellia ternata (Thunb.) Breit

Identifiers

PMID40822519
PMCPMC12355724

What OpenQuestion holds

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LicenceCC BY
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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.