Evidence map›Paper›PMID 40486055›Full record

ArticleFood chemistry: X2025

Purine content of different soybean products and dynamic transfer in food processing techniques.

Yuting Zheng, Xinxin Ma, Li Li, Lulu Yang, Hongfeng Yu, Yong Zhao, Haiquan Liu

Abstract read
In one paragraph

Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Yuting ZhengCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Xinxin MaShanghai Tramy Green Food (Group) Co., Ltd., Shanghai 201300, China.
Li LiShanghai Tramy Green Food (Group) Co., Ltd., Shanghai 201300, China.
Lulu YangCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Hongfeng YuCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Yong ZhaoCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Haiquan LiuCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high purine characteristics of soybeans limit their industrial development through a multi-level transmission mechanism of health concerns, market contraction, research and development resource diversion, and increased policy costs. This research investigated purine dynamics during non-fermented soy product processing by high performance liquid chromatography (HPLC). Purine content was systematically quantified across processing stages to reveal the regulation mechanism of key processes on the dynamic change of purine. Results showed that processed products exhibited significantly reduced purine levels (15.11-84.42 mg/100 g, wet basis). Front-stages processing (soaking reduced purines by ∼50 %, grinding / boiling reduced purines by∼10 %) effectively lowered purines. However, back-stage processing (coagulation, squeezing, yuba formation) increased purine content by 3-50 % due to protein entrapment and moisture loss. This article first revealed a "decrease-then-increase" two-way regulation of purine, providing a theoretical basis for optimizing processes and developing low-purine soybean products.

Indexed as

Food processing technologyHPLCLow purine foodPurineSoybean products

Identifiers

PMID40486055
PMCPMC12141938

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.