Related Experiment Video
Updated: Sep 14, 2026

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
Published on: January 9, 2020
High-Throughput Dual Resonance and Non-Resonance Mode Raman-Activated Cell Sorting With Low-Volume Harvesting
Teng Xu1,2,3, Pengfei Zhu4, Yukuan Wang4
1Single-Cell Center, State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China.
Abstract:
Raman-activated cell sorting (RACS) platforms are limited by inflexibility in tackling different Raman signals and inability to export the sorted cells in a sufficiently low volume for downstream processing. Here, we present a generally applicable RACS platform that tackles these challenges. For adaptive dual-mode operation that supports diverse spontaneous Raman signals, microfluidic optical tweezers are designed with switchable capture strategies, with a high-throughput in-stream mode (up to 834 events/min) for resonance Raman signals with short exposures (<0.1 s) for resonance-Raman-based screening, and a high-precision out-stream mode (up to 50 events/min) for non-resonance Raman detection with extended exposures (>0.1 s). Moreover, to achieve low-volume concentrated harvesting, an on-chip storage and centralized harvesting mechanism delivers target cells in uniform 10 µL suspensions with >97% purity. Using the in-stream mode for resonance Raman screening, we isolated a Yarrowia lipolytica mutant with 77% increased β-carotene production in just one sorting round directly from a mutant library. Employing the out-stream mode for non-resonance Raman detection, we enriched phosphate-solubilizing bacteria from wastewater with nearly 100% recovery in concentrated 10 µL volumes, enabling direct function-targeted mini-metagenomics. This high-throughput dual-mode RACS platform with low-volume cell harvesting greatly expands the application of label-free live-cell sorting via metabolic phenome.

