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Tiong, Y. W.

Publications and source records attributed to Tiong, Y. W..

2 recordsLinked to original sources

Enhanced Medium-Chain Fatty Acid Production in Megasphaera elsdenii via Adaptive Laboratory Evolution and Genomic Insights

The shift toward a sustainable bioeconomy has increased interest in microbial platforms capable of producing valuable fatty acids. Megasphaera elsdenii is emerging as a promising candidate for fatty acid bioproduction, although its performance varies depending on the strain. This study compares two M. elsdenii strains, JCM 1772 (ATCC 25940) and JCM 35779, revealing that JCM 35779 produces up to 5.8 times more hexanoic acid than JCM 1772. Comparative genomic analysis identified key differences between the strains, including the loss of enzymes involved in the pyruvate-to-butyric acid pathway in JCM 35779, indicating a rerouting of carbon flux that favors chain elongation toward hexanoic acid instead of butyric acid. Overall, this work links genomic variation to metabolic phenotype, establishes JCM 35779 as a superior medium-chain fatty acid producer, and supports the development of M. elsdenii as an effective platform for sustainable production of medium-chain fatty acids. HighlightsO_LIPig-feces M. elsdenii shows >5 times higher HA production than its rumen strain. C_LIO_LIGenomic analysis reveals strain-specific deletions in pathways for MCFA synthesis. C_LIO_LIThis includes etfB2, cat1 and abfD. C_LI

microbiology↗

An Experimental and Multiphysics Simulations Study of Clostridium carboxidivorans sp. 624 for Acid and Alcohol Production in CO2/H2

Biotechnological advances in CO2 utilization through gas fermentation offer a sustainable alternative to energy-intensive chemical processes. This study investigates and optimizes fermentation dynamics of Clostridium carboxidivorans sp. 624 for enhanced production of C2-C6 acids via combined experimental and computational methods. A systematic experimental evaluation of temperature and medium conditions, along with time-course analysis elucidates metabolic pathway regulation. Experimental optimisation, complemented by modelling, identified gas-liquid volumetric ratios VL/VG = 4 as optimal for maximizing longer-chain acids production, attributed to enhanced gas solubility and substrate bioavailability. Additionally, a hybrid model combining dynamic-kinetic model and computational fluid dynamics (CFD) successfully predict product formation. By capturing spatial inhomogeneities in gas-liquid interactions, the model also provides critical insights for optimizing fermentation performance and establishes a framework for improving process design parameters for CO2/H2 fermentation, paving the way for scalable and efficient CO2-based bioprocesses.

microbiology↗