Evidence map›Paper›PMID 39570516›Full record

ArticleApplied biochemistry and biotechnology2025

Cold Plasma Treatment Facilitated the Conversion of Lignin-Derived Aldehyde for Pseudomonas putida.

Jianqi Han, Meng Zhang, Yilong Wang, Zhidan Liu, Xiaohui Shi, Yucai He, Jie Zhu, Xia Yi

Abstract read
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In one paragraph

Article in Applied biochemistry and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

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 & High Value Utilization Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, 213164, China.
Meng ZhangNational-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 & High Value Utilization Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, 213164, China.
Yilong WangSchool of Pharmacy & School of Biological and Food Engineering, Changzhou University, Changzhou, 213164, Jiangsu, 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 & High Value Utilization Technology, School of Petrochemical 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 & High Value Utilization Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, 213164, China.
Yucai HeSchool of Pharmacy & School of Biological and Food Engineering, Changzhou University, Changzhou, 213164, Jiangsu, China. yucaihe@cczu.edu.cn.ORCID http://orcid.org/0000-0002-7905-4217
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 & High Value Utilization Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, 213164, China. zhujie@cczu.edu.cn.ORCID http://orcid.org/0000-0002-8602-717X
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 & High Value Utilization Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, 213164, China. mote_13@cczu.edu.cn.ORCID http://orcid.org/0000-0002-0260-4057

Funding

National Natural Science Foundation of China 21978072National 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

Syringaldehyde derived from lignin is one of the essential intermediates for the production of basic chemicals. However, it was poorly understood for the direct microbial conversion of syringaldehyde. Here, this study tried to use cold plasma technique to enhance syringaldehyde conversion for the bacterium Pseudomonas putida. It illustrated that cell growth and syringaldehyde conversion were separately increased by 1.49 times at 3 h and 1.60 times at 6 h for 35 s, 1.16 and 3.44 times for 140 W, and 1.63 and 4.02 times for 105 Pa for P. putida through single factor assays of cold plasma treatment. To be sure, cell growth and syringaldehyde conversion were enhanced by 1.14 and 5.54 times at 3 h under the optimum parameters (35 s, 140 W, and 105 Pa) for P. putida. Furthermore, genome re-sequencing further discovered single-nucleotide polymorphisms of P. putida, such as PP_2589 (A428V), PP_5651 (V82F), and PP_0545 (W335R), and thus indicated that the potential genetic changes derived from cold plasma treatment would be responsible for the acceleration of syringaldehyde conversion. This work would provide a robust strain catalyst and the potential candidate mutation sites for genetic manipulation for microbial bioconversion of the value-added and lignin-based biochemicals.

Indexed as

AldehydesBenzaldehydesLigninPlasma GasesPseudomonas putidaPolymorphism, Single NucleotideAldehydesBenzaldehydesLigninPlasma GasessyringaldehydeCold plasma treatmentPseudomonas putidaSingle-nucleotide polymorphisms (SNPs)Syringaldehyde

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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.