Evidence map›Paper›PMID 40756320›Full record

ReviewGreen chemistry : an international journal and green chemistry resource : GC2025

Advancing lignocellulosic conversion though biosensor-enabled metabolic engineering.

Qi Gan, Jianli Zhang, Xinyu Gong, Yusong Zou, Yajun Yan

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Green chemistry : an international journal and green chemistry resource : GC, 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. Review
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

5 authors.

Qi GanSchool of Chemical, Materials, and Biomedical Engineering, College of Engineering, The University of Georgia Athens GA 30602 USA yajunyan@uga.edu.
Jianli ZhangSchool of Chemical, Materials, and Biomedical Engineering, College of Engineering, The University of Georgia Athens GA 30602 USA yajunyan@uga.edu.
Xinyu GongSchool of Chemical, Materials, and Biomedical Engineering, College of Engineering, The University of Georgia Athens GA 30602 USA yajunyan@uga.edu.
Yusong ZouSchool of Chemical, Materials, and Biomedical Engineering, College of Engineering, The University of Georgia Athens GA 30602 USA yajunyan@uga.edu.
Yajun YanSchool of Chemical, Materials, and Biomedical Engineering, College of Engineering, The University of Georgia Athens GA 30602 USA yajunyan@uga.edu.ORCID https://orcid.org/0000-0002-9993-3016

Funding

Engineering Dynamic Control of Natural Product Biosynthesis in BacteriaR35GM128620 · NIGMS · UNIVERSITY OF GEORGIA · PI Yajun Yan · 2018 to 2026
$3.0M
NIGMS NIH HHS R35 GM128620
6 · The paper itself

Abstract

Lignocellulosic biomass holds great potential to produce a wide range of chemicals, including biofuels, biomaterials, and bioactive compounds. Effective utilization of these biomass feedstocks can significantly benefit human well-being while helping to mitigate climate change and reduce the environmental damage associated with fossil fuel use. Microbial synthesis plays a key role in converting biomass into valuable products. However, further optimization of these metabolic pathways is required to improve productivity. The design and optimization of these pathways remain major bottlenecks due to the complexity of biological systems and our limited understanding of them. Biosensors hold significant potential in advancing microbial metabolic engineering and enhancing substrate-to-product bioconversion. In this review, we discuss the major microbial conversion pathways for lignocellulosic biomass, the development and optimization of biosensors, and their applications in efficient biocatalytic processes for lignocellulosic conversion.

Identifiers

PMID40756320
PMCPMC12315519

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.