Abstract: Researchers have revealed the antibacterial mechanism of cationic and anionic surfactants against S. aureus using single-cell Raman spectroscopy (SCRS) in a multi-dimensional manner. The study provides new theoretical foundations and technical support for the application of surfactants in daily chemicals, medical fields, and beyond.

Abstract: Through metabolic reprogramming and the use of the RamanEye system (a high-throughput flow-mode Raman-activated cell sorter), researchers successfully achieved efficient and stable production of fungal siderophores by overcoming iron repression. This provides a novel technological pathway for the large-scale industrial production of siderophores. Moreover, the study demonstrates that the Raman-based “metabolic quality inspection and enhancement of seed cultures” can significantly improve the yield and efficiency of industrial fermentation.

Abstract: By reconstructing the archaeal membrane lipid biosynthesis pathway in Escherichia coli, researchers successfully synthesized archaeal membrane lipids ranging from simple to complex forms and investigated their effects on bacterial cell physiology. This study, combining experimental investigation with theoretical analysis, offers new perspectives on membrane lipid transitions in early life evolution and provides novel insights into possible pathways for the origin of eukaryotes.

Abstract: The new technology, FISH-scRACS-seq (Fluorescence-In-Situ-Hybridization-guided Single-Cell Raman-activated Sorting and Sequencing), leverages the Raman-activated Optical Tweezers-based Cell Sorter developed by Single-Cell Biotech Inc. to combine species-targeting fluorescence in situ hybridization (FISH) with Raman spectroscopy, enabling the direct identification and isolation of functional single cells and their encoding enzymes from environmental samples. This dual-targeting approach enables researchers to match microbial species to their specific metabolic functions and uncover the underlying genomic resources that drive these processes. The method allows for the high-resolution study of ecological processes, linking species, metabolic abilities, genome sequences, metabolic pathways, and enzyme activities.

Abstract: The artificial intelligence-assisted Raman-activated cell sorting (AI-RACS) system automated the isolation and functional analysis of aluminum-tolerant microorganisms (ATMs) from acidic soil, marking a shift from manual, labor-intensive procedures to high-throughput automated workflows. By employing SCRS to assess cellular metabolic activity under aluminum stress, the researchers successfully identified and isolated 13 aluminum-tolerant strains, including Burkholderia spp., Rhodanobacter spp., and Staphylococcus aureus. These strains exhibited higher metabolic activity compared to those identified through traditional cultivation methods.

Abstract: Researchers employed metronidazole as a model antibiotic, and establish a method for eMIC-MA-based AST. The speed, accuracy, low cost, and mode-of-action revelation of CAST-R-HP for measuring metronidazole AST suggest it as a valuable tool for H. pylori eradication and resistance mechanism dissection.