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Single-cell Microfluidic Analysis of Bacillus subtilis
Published on: January 26, 2018
Ecology-microbiome engineering in Sauce-flavor Baijiu via Single-Cell Raman Spectroscopy.
Xi Sun1,2, Xinyun Yi1,3, Jia Zhang3,4,5,6,7
1College of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin, 300384, China.
Biodesign Research
|May 28, 2026
Summary
This study introduces advanced single-cell tools to understand the complex microbial communities in Sauce-flavor Baijiu fermentation. These methods bridge the gap between microbial composition and function, enabling intelligent brewing design.
Area of Science:
- Microbiology
- Biotechnology
- Food Science
Background:
- Sauce-flavor Baijiu fermentation involves complex microbial consortia under extreme conditions.
- High-throughput sequencing shows spatial and temporal microbial variations, but a composition-function disconnect persists.
- Current methods fail to resolve the roles of individual microbes within the heterogeneous environment.
Purpose of the Study:
- To propose a novel toolkit for cell-resolved functional analysis of Baijiu fermentation microbiomes.
- To demonstrate how single-cell technologies can bridge the composition-function gap.
- To establish a framework for rational design and intelligent optimization of Baijiu fermentation.
Main Methods:
- Single-Cell Raman Spectroscopy (SCRS) and its derivatives (D2O-Raman, scRACS-Seq, scRACS-Culture, IRCA).
- Label-free, culture-independent analysis within solid-state matrices.
- Integration into a Design-Build-Test-Learn (DBTL) engineering cycle.
Main Results:
- SCRS-based methods enable phenotype-to-genome linkage and recovery of rare functional strains.
- These tools provide cell-resolved metabolic phenotyping and activity mapping.
- The proposed toolkit addresses the limitations of bulk omics and traditional cultivation.
Conclusions:
- Single-cell technologies offer a powerful solution to dissect microbial functions in complex environments like Baijiu fermentation.
- This approach facilitates the transition from empirical craftsmanship to data-driven, intelligent brewing.
- The integration of synthetic ecology and process analytical technologies is key for future advancements.
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