Evidence map›Paper›PMID 40901257›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Optimization of biocatalytic production of sodium gluconate using a dual-enzyme system.

Jialei Ren, Piwu Li, Xiaofeng Wei, Jianbin Wang, Chuanzhuang Guo, Keyi Liu, Junqing Wang, Xia Li

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

8 authors.

Jialei RenState Key Laboratory of Green Papermaking and Resource Recycling, Shandong Academy of Science, Qilu University of Technology, Jinan, China.
Piwu LiState Key Laboratory of Green Papermaking and Resource Recycling, Shandong Academy of Science, Qilu University of Technology, Jinan, China.
Xiaofeng WeiDongxiao Bioengineering (Shandong) Co., Ltd., Jinan, China.
Jianbin WangDongxiao Bioengineering (Shandong) Co., Ltd., Jinan, China.
Chuanzhuang GuoDongxiao Bioengineering (Shandong) Co., Ltd., Jinan, China.
Keyi LiuState Key Laboratory of Green Papermaking and Resource Recycling, Shandong Academy of Science, Qilu University of Technology, Jinan, China.
Junqing WangState Key Laboratory of Green Papermaking and Resource Recycling, Shandong Academy of Science, Qilu University of Technology, Jinan, China.
Xia LiState Key Laboratory of Green Papermaking and Resource Recycling, Shandong Academy of Science, Qilu University of Technology, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sodium gluconate has a wide range of applications, including in the fields of construction, textiles, medicine, the chemical industry, and food, so the industrialized production of sodium gluconate is particularly important. However, the preparation process of sodium gluconate is not mature enough, and the production cost is high, which restricts the development of the industry. In this study, the optimization of process conditions for the catalytic production of sodium gluconate from glucose via a dual-enzyme system of glucose oxidase (GOD) and catalase (CAT) was investigated in detail. Factors such as pH, temperature, metal ions, enzyme addition, stirring speed, and aeration were examined. After optimizing these parameters through one-way experiments, the Box-Behnken design (BBD) was employed to refine the process further, focusing on stirring speed, enzyme addition, and aeration. The optimal reaction conditions were identified as follows: a reaction pH of 5.9, a reaction temperature of 38°C, enzyme addition of 0.2%, batch addition, 80% GOD at 0 h, 20% GOD at 2 h, stirring speed of 700 rpm, aeration amount of 1.2 vvm, and a tank pressure of 0.04 Pa. Under these conditions, the reaction cycle for sodium gluconate production was reduced to 7.75 ± 0.5 h. These optimized conditions significantly improve existing methods, offering a more efficient and cost-effective approach to sodium gluconate production. The findings provide valuable insights for scaling up biocatalytic processes, with the potential for a substantial industrial impact, particularly in reducing production costs and improving sustainability in the chemical and food industries.

Indexed as

dissolved oxygendual enzyme methodresponse surfacesodium gluconatetechnology optimization

Identifiers

PMID40901257
PMCPMC12399976

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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.