Evidence map›Paper›PMID 35889294›Full record

ArticleMolecules (Basel, Switzerland)2022

Water Status and Predictive Models of Moisture Content during Drying of Soybean Dregs Based on LF-NMR.

Tianyou Chen, Wenyu Zhang, Yuxin Liu, Yuqiu Song, Liyan Wu, Cuihong Liu, Tieliang Wang

Open access · goldAbstract read
In one paragraph

Article in Molecules (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
2.7field-weighted citation impact, top 11% 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, 21 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Tianyou ChenCollege of Engineering, Shenyang Agricultural University, Shenyang 110866, China.
Wenyu ZhangCollege of Engineering, Shenyang Agricultural University, Shenyang 110866, China.
Yuxin LiuCollege of Engineering, Shenyang Agricultural University, Shenyang 110866, China.
Yuqiu SongCollege of Engineering, Shenyang Agricultural University, Shenyang 110866, China.
Liyan WuCollege of Engineering, Shenyang Agricultural University, Shenyang 110866, China.
Cuihong LiuCollege of Engineering, Shenyang Agricultural University, Shenyang 110866, China.
Tieliang WangCollege of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China.
Shenyang Agricultural University · CN

Funding

Education Department of Liaoning Province LSNJC201908Science and Technology Department of Liaoning Province 2020-MS-203Shenyang Agricultural University X2021046
6 · The paper itself

Abstract

To explore the drying characteristics of soybean dregs and a nondestructive moisture content test method, in this study, soybean dregs were dried with hot air (80 °C), the moisture content was measured using the drying method, water status was analyzed using low-field nuclear magnetic resonance (LF-NMR) and the moisture content prediction models were built and validated. The results revealed that the moisture contents of the soybean dregs were 0.57 and 0.01 g/g(w.b.), respectively, after drying for 5 and 7 h. The effective moisture diffusivity increased with the decrease in moisture content; it ranged from 5.27 × 10

Indexed as

Glycine maxWaterDesiccationMagnetic Resonance ImagingMagnetic Resonance SpectroscopyWaterby-productsdrying processingmoisture content predictionrelaxation peakwater status

Identifiers

PMID35889294
PMCPMC9320078
OpenAlexW4285006824

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.