@article{Sun2026, 
author = {Xi Sun and Xinyun Yi and Jia Zhang},
title = {Ecology-microbiome engineering in Sauce-flavor Baijiu via Single-Cell Raman Spectroscopy},
year = {2026},
journal = {BioDesign Research},
volume = {8},
number = {2},
keywords = {Microbial community, Sauce-flavor Baijiu, Single-cell Raman Spectroscopy, Metabolic networks, Design-build-test-learn},
url = {https://www.sciopen.com/article/10.1016/j.bidere.2026.100089},
doi = {10.1016/j.bidere.2026.100089},
abstract = {Sauce-flavor Baijiu owes its layered aroma to a diverse microbial consortium fermenting under extreme, open, solid-state conditions. High-throughput sequencing has revealed marked spatiotemporal heterogeneity in community composition, yet a fundamental composition-function disconnect persists: bulk omics average signals across heterogeneous micro-niches and cultivation recovers only a minor fraction of total diversity, leaving “who is doing what” unresolved. Closing this disconnect is a prerequisite for rational design of fermentation microbiomes and demands cell-resolved functional tools within an iterative engineering framework. This review proposes that Single-Cell Raman Spectroscopy (SCRS) and its derivatives, including D2O-Raman activity mapping, scRACS-Seq phenotype-to-genome linkage, scRACS-Culture recovery of rare functional strains, and Intra-Ramanome Correlation Analysis (IRCA) predictive metabolic phenotyping, collectively provide a label-free, culture-independent toolkit suited to this role in solid-state matrices. We delineate how these single-cell insights feed each stage of a Design-Build-Test-Learn (DBTL) cycle, from phenotype-informed strain selection through consortium assembly and functional validation to data-driven iterative optimization. This convergence of cell-resolved functional dissection, synthetic ecology, and process analytical technologies establishes the foundation for advancing Sauce-flavor Baijiu from experience-dependent craftsmanship toward intelligent brewing.}
}