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Towards one sample per second for mass spectrometric screening of engineered microbial strains
Lihao Fu1, Erpeng Guo2, Jianzhi Zhang3
1CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Rapid mass spectrometry (MS) assays enable high-throughput screening of microbial cell factories for chemical production. Advances in MS technology are accelerating the discovery of improved microbial strains for sustainable manufacturing.
Area of Science:
- Synthetic biology and metabolic engineering.
- Analytical chemistry and mass spectrometry.
- Biotechnology and bioprocessing.
Background:
- Microbial cell factories are crucial for converting renewable resources into valuable chemicals and materials.
- Predictive modeling for microbial strain engineering is underdeveloped, necessitating high-throughput screening.
- Mass spectrometry (MS) offers sensitive, label-free analysis with high chemical specificity.
Purpose of the Study:
- To review recent advancements in rapid mass spectrometry (MS) assays for microbial screening.
- To highlight the application of these rapid MS assays in screening microbial libraries.
- To discuss challenges and future directions in MS-based microbial strain library screening.
Main Methods:
- Review of recent developments in high-throughput mass spectrometry (MS) techniques.
- Integration of massively parallel cultivation and robotic sample preparation.
- Utilization of chromatography-free instrumentation for accelerated MS analysis.
Main Results:
- Rapid MS assays have achieved or approached screening rates of one microbial sample per second.
- These advancements significantly improve the throughput of analyzing complex microbial samples.
- Demonstrated effectiveness of MS in label-free screening of microbial libraries.
Conclusions:
- Rapid MS assays are revolutionizing microbial strain engineering by enabling faster screening.
- Key challenges in MS screening of strain libraries include data complexity and standardization.
- Future solutions will likely involve further automation, advanced data analysis, and novel MS instrumentation.
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