Evidence map›Paper›PMID 42289753›Full record

ArticleBiotechnology for biofuels and bioproducts2026

SynBio-DSP: an integrated synthetic biology platform with fed-batch fermentation and continuous downstream processing for sustainable production of thermostable cellulases.

Shah Faisal Mohammad, Fawad Ali, Mamirkulova Shynara

Abstract read
In one paragraph

Article in Biotechnology for biofuels and bioproducts, 2026. 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

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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

3 authors.

Shah Faisal MohammadSchool of Medical Sciences, Shandong Xiehe University, Jinan, Shandong, 250109, People's Republic of China. shahfaisalmohammad@sdxiehe.edu.cn.
Fawad AliDepartment of Biotechnology, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan.
Mamirkulova ShynaraGraduate School of Chemical Engineering and Biotechnology, Mukhtar Auezov South Kazakhstan State University, Shymkent, Kazakhstan.

Funding

Shandong Xiehe University,P.R.China SDXHQD2025086
6 · The paper itself

Abstract

backgroundThe economic viability of enzymatic lignocellulosic biomass conversion is hindered by high production costs and energy-intensive recovery of thermostable enzymes. Traditional optimization approaches treat strain engineering, fermentation, and downstream processing as separate domains, leading to suboptimal system performance. This study aimed to develop an integrated platform that synergistically combines synthetic biology, machine learning-guided bioprocess optimization, and continuous downstream processing for sustainable cellulase production.

resultsWe engineered a Bacillus subtilis chassis with a Quorum-Lysis-Modulation (QLM) system for auto-induction of hyperthermostable cellulase CtCel9A and CRISPRi-mediated cell wall weakening. The QLM strain achieved a CtCel9A titer of 9.32 ± 0.29 IU/mL, a 3.6-fold increase over conventional methods. Fermentation was optimized using Gaussian Process Regression in high-throughput microbioreactors, yielding excellent predictive performance (R

conclusionsThe SynBio-DSP platform establishes a new paradigm for sustainable biocatalyst manufacturing by co-optimizing cellular design and process configuration. The integrated approach demonstrates that simultaneous improvements in productivity, cost, and environmental impact are achievable for scalable, economically viable biofuel enzyme production.

Indexed as

Continuous downstream processingMachine learning optimizationPulsed electric fieldResponse surface methodologySustainable enzyme productionSynthetic biology

Identifiers

PMID42289753
PMCPMC13491823

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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.