Evidence map›Paper›PMID 40227479›Full record

ArticleBioprocess and biosystems engineering2025

Itaconic acid production from corn stover hydrolysates for a newly isolated Aspergillus terreus through adaptive evolution.

Xia Yi, Xinji Li, Jianqi Han, Zhidan Liu, Xiaohui Shi, Tao Wen, Jie Zhu

Abstract read
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In one paragraph

Article in Bioprocess and biosystems engineering, 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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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.

Xia YiNational-Local Joint Engineering Research Center for Biomass Refining and High-Quality Utilization, Institute of Urban and Rural Mining, Changzhou Key Laboratory of Biomass Green, Safe and High Value Utilization Technology, School of Petrochemical Engineering, School of Environmental Science and Engineering, Changzhou University, Changzhou, 213164, China. mote_13@cczu.edu.cn.ORCID http://orcid.org/0000-0002-0260-4057
Xinji LiNational-Local Joint Engineering Research Center for Biomass Refining and High-Quality Utilization, Institute of Urban and Rural Mining, Changzhou Key Laboratory of Biomass Green, Safe and High Value Utilization Technology, School of Petrochemical Engineering, School of Environmental Science and Engineering, Changzhou University, Changzhou, 213164, China.
Jianqi HanNational-Local Joint Engineering Research Center for Biomass Refining and High-Quality Utilization, Institute of Urban and Rural Mining, Changzhou Key Laboratory of Biomass Green, Safe and High Value Utilization Technology, School of Petrochemical Engineering, School of Environmental Science and Engineering, Changzhou University, Changzhou, 213164, China.
Zhidan LiuNational-Local Joint Engineering Research Center for Biomass Refining and High-Quality Utilization, Institute of Urban and Rural Mining, Changzhou Key Laboratory of Biomass Green, Safe and High Value Utilization Technology, School of Petrochemical Engineering, School of Environmental Science and Engineering, Changzhou University, Changzhou, 213164, China.
Xiaohui ShiNational-Local Joint Engineering Research Center for Biomass Refining and High-Quality Utilization, Institute of Urban and Rural Mining, Changzhou Key Laboratory of Biomass Green, Safe and High Value Utilization Technology, School of Petrochemical Engineering, School of Environmental Science and Engineering, Changzhou University, Changzhou, 213164, China.
Tao WenNational-Local Joint Engineering Research Center for Biomass Refining and High-Quality Utilization, Institute of Urban and Rural Mining, Changzhou Key Laboratory of Biomass Green, Safe and High Value Utilization Technology, School of Petrochemical Engineering, School of Environmental Science and Engineering, Changzhou University, Changzhou, 213164, China.
Jie ZhuNational-Local Joint Engineering Research Center for Biomass Refining and High-Quality Utilization, Institute of Urban and Rural Mining, Changzhou Key Laboratory of Biomass Green, Safe and High Value Utilization Technology, School of Petrochemical Engineering, School of Environmental Science and Engineering, Changzhou University, Changzhou, 213164, China. zhujie@cczu.edu.cn.ORCID http://orcid.org/0000-0002-8602-717X

Funding

National Natural Science Foundation of China 22278040Scientific Research Foundation of Changzhou University ZMF22020021State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology CRE-24-C004
6 · The paper itself

Abstract

Itaconic acid can be produced using lignocellulosic biomass; however, the inhibitors from pretreatment process of biorefinery are toxic to the fermenting strains. Here, with 35.70 ± 0.69 g/L (0.19 ± 0.05 g/L·h and 73.84 ± 0.01%) itaconic acid from shake flask fermentation of synthetic medium (SM), a newly isolated Aspergillus terreus just produced 1.01 ± 0.01 g/L itaconic acid from corn stover hydrolysates (CSH) for the serious block of aldehyde inhibitors and acetic acid. Convincingly, 25.34 ± 3.94 g/L (0.13 ± 0.02 g/L·h and 37.92 ± 3.89%) itaconic acid was achieved from the detoxified CSH (with residual 0.49 g/L acetic acid) using 4.0% activated charcoal. 21.64 ± 2.42 g/L (0.05 ± 0.01 g/L·h and 26.96 ± 7.81%) itaconic acid was further achieved from CSH for the adapted A. terreus with better degradation ability of furanic aldehydes and phenolic aldehydes. Furthermore, the 108 mutation sites of nine genes from adaptive laboratory evolution (ALE) for A. terreus were further uncovered through single nucleotide polymorphisms (SNPs) analysis, and thus would be responsible for the improved fermentability of itaconic acid from CSH. The current work broke the bottlenecks in itaconic acid fermentation directly from CSH through improving A. terreus using directed evolution technique, and thus would provide a strain biocatalyst A. terreus and establish the alternative strategy to efficiently produce itaconic acid using corn stover.

Indexed as

AspergillusSuccinatesZea maysFermentationHydrolysisitaconic acidSuccinatesAdaptationAspergillus terreusItaconic acidSingle nucleotide polymorphisms (SNPs)

Identifiers

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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.