Evidence map›Paper›PMID 40895717›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Optimization of the scale-up production process for high-yield laccase from white-rot fungi.

Yaping Ma, Minchang Liu, Ruifang Gu, Rongya Zhang, Xiaomei Ji, Juan Zhang, Wu Wen, Zheng Peng

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. 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. Simultaneous degradation of aflatoxin BFrontiers in nutrition · 2026
    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

8 authors.

Yaping Ma *Technology Center, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Minchang Liu *Technology Center, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Ruifang GuTechnology Center, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Rongya ZhangTechnology Center, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Xiaomei JiKey Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.
Juan ZhangKey Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.
Wu WenTechnology Center, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Zheng PengKey Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Laccase exhibits significant applications in food additives, wastewater treatment, and biomass processing. Fungal laccase exhibits high activity, good stability, and excellent performance. However, scale-up production of high-yield laccase from fungi is challenging. This study aimed to identify crucial factors affecting enzyme production and analyze the enzymatic properties of laccase during fermentation. Methods: A laccase-producing white-rot fungus was used for fermentation process optimization in 200 L and 1200 L fermenters. The Plackett-Burman design revealed three significant influencing factors: temperature, aeration ratio, and agitation speed. The steepest ascent experiment was used to approximate the maximum response region, followed by the establishment of a regression model between experimental factors and laccase activity using the Box-Behnken response surface methodology and optimal fermentation condition selection. Results: The optimal conditions for laccase production by Discussion: This study provides valuable theoretical and data support for the industrial production of laccase by fungi through optimized fermentation processes.

Indexed as

fermentation optimizationGanoderma lucidumlaccaseresponse surface methodologywhite-rot fungus

Identifiers

PMID40895717
PMCPMC12394975

What OpenQuestion holds

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Registered trials

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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.