Evidence map›Paper›PMID 39012554›Full record

ArticleBioresources and bioprocessing2024

Effects of thermophilic and acidophilic microbial consortia on maize wet-milling steeping.

Yaqin Sun, Wenjing Xia, Langjun Tang, Zhilong Xiu, Weiwu Jin, Xiaoyan Wang, Jin Tao, Haijun Liu, Hongyan An, Yi Li and 1 more

Abstract read
In one paragraph

Article in Bioresources and bioprocessing, 2024. 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

11 authors.

Yaqin SunMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, 116024, P.R. China. sunyaqin@dlut.edu.cn.
Wenjing XiaMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, 116024, P.R. China.
Langjun TangMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, 116024, P.R. China.
Zhilong XiuMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, 116024, P.R. China.
Weiwu JinJilin COFCO Biochemistry Co., Ltd. (National Engineering Research Center of Corn Deep Processing), 1717 Xiantai Street, Nanguan District, Changchun City, Jilin Province, 130033, P.R. China.
Xiaoyan WangJilin COFCO Biochemistry Co., Ltd. (National Engineering Research Center of Corn Deep Processing), 1717 Xiantai Street, Nanguan District, Changchun City, Jilin Province, 130033, P.R. China.
Jin TaoJilin COFCO Biochemistry Co., Ltd. (National Engineering Research Center of Corn Deep Processing), 1717 Xiantai Street, Nanguan District, Changchun City, Jilin Province, 130033, P.R. China.
Haijun LiuJilin COFCO Biochemistry Co., Ltd. (National Engineering Research Center of Corn Deep Processing), 1717 Xiantai Street, Nanguan District, Changchun City, Jilin Province, 130033, P.R. China.
Hongyan AnJilin COFCO Biochemistry Co., Ltd. (National Engineering Research Center of Corn Deep Processing), 1717 Xiantai Street, Nanguan District, Changchun City, Jilin Province, 130033, P.R. China.
Yi LiJilin COFCO Biochemistry Co., Ltd. (National Engineering Research Center of Corn Deep Processing), 1717 Xiantai Street, Nanguan District, Changchun City, Jilin Province, 130033, P.R. China.
Yi TongJilin COFCO Biochemistry Co., Ltd. (National Engineering Research Center of Corn Deep Processing), 1717 Xiantai Street, Nanguan District, Changchun City, Jilin Province, 130033, P.R. China. tongyi@cofco.com.

Funding

National Key Research and Development Program of China 2021YFD2101000/2021YFD2101002
6 · The paper itself

Abstract

To understand the ecology of species and promote biotechnology through beneficial strain selection for improving starch yield in maize wet-milling steeping, bacterial diversity and community structure during the counter-current steeping process in a commercial steeping system were characterized and investigated. The microbial diversity in the steeping liquor, which consisted of 16 phyla, 131 families, and 290 genera, was more abundant compared to those present on the surface of unsteeped maize. As the counter-current steeping progressed, exposing newer maize to the older steepwater, Lactobacillus dominated, replacing Rahnella, Pseudomonas, Pantoea, and Serratia. The thermophilic and acidophilic microbial consortia were enriched through adaptive evolution engineering and employed to improve starch yield. Several steeping strategies were evaluated, including water alone, SO

Indexed as

Adaptive evolution engineeringMaize steepingMicrobial consortiumProtein matrixThermophilic and acidophilic

Identifiers

PMID39012554
PMCPMC11252109

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.