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FlowRACS 高通量流式拉曼分选仪

单细胞拉曼光谱具有非标记、无损、快速测量细胞代谢表型组、可与单细胞测序对接等优势。基于单细胞拉曼光谱，FlowRACS®不需分离培养、在单细胞精度直接鉴定单细胞种类，并可并行测量底物代谢、物质合成、代谢物互作网络、环境应激、物种间互作等代谢表型组及其细胞间异质性。

其独创的pDEP-RACS技术，通过在高速液流中基于介电迟滞来精确捕获和采集单细胞拉曼信号，克服了单细胞拉曼分选的通量限制，从而完成了单细胞拉曼信号采集与单细胞分选（及微液滴导出）的集成。

同时，FlowRACS®利用全光谱实时判别算法，实现了活体单细胞超高通量拉曼分选的高度自动化，为单细胞层面的代谢表型快检、种质资源挖掘和功能机制研究提供了新一代装备解决方案。

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产品特性

采用独创的pDEP-RACS技术，通过周期性施加介电场确保高速流动的单细胞被精确捕获在拉曼激光位点，有效克服了高速液流中细胞拉曼信号弱的难题，确保高质量拉曼谱图的采集。

采用介电确定性侧向位移技术（pDEP-DLD），实现宽场中高速流动细胞的高效聚焦和目标细胞的高通量分选（分选通量300-600 cells/min）

无需外加标记，在液相环境开展单细胞拉曼采集及分选，最大程度保留细胞活性与基因组完整性，可对接单细胞培养和测序。

全光谱、实时、在线的单细胞拉曼光谱计算引擎，为单细胞代谢表型组分析、分选与数据挖掘提供一站式解决方案。

技术参数

检测精度 单个细胞水平（免培养）
适用范围 天然种质资源、突变株、工程株
细胞大小 1-40 μm
样品起始量 10^2-10^4 个/mL
显微物镜 10×/50×/100×
分选方式 介电
分选环境 液相
液相流速 10-40 μL/min
分析速度 60-3000 events/min
分选速度 60-2000 events/min
稳定运行时间 ＞5h

应用案例

高产虾青素雨生红球藻筛选

将诱导3天的雨生红球藻细胞（累计大量虾青素）和未诱导的雨生红球藻细胞（累计少量虾青素）按1:9混合后进行筛选，筛选准确率＞95%，筛选通量~260个细胞/分钟。

色素酵母筛选

将产色素酵母和普通酿酒酵母按1:9混合后进行筛选，筛选准确率＞95%，通量~300个细胞/分钟。

油脂酵母筛选

甘油三脂（TAG）含量筛选：将TAG酵母和非TAG酵母按1:1混合后筛选，准确率＞90%（D），分选后培养说明分选过程无损伤（E），将TAG酵母和非TAG酵母按不同比例混合后筛选，当TAG酵母量＞1%时，分选准确率＞90%，当当TAG酵母量在~0.1%时，分选准确率＞80%（F），筛选通量~300个细胞/分钟。

油脂酵母筛选

多基因同步转化后TAG酵母筛选：将潜在具有二酰甘油转移酶活性的基因和对照组空质粒进行同步转化后形成转化库，分选前进行高通量测序证明转化均一（A），经一轮分选后所得细胞进行高通量测序（B）或平板培养后进行单克隆测序（C），成功分选获得3个之前已报道的强功能基因（2A、2C和2D）和2个未报道的弱功能基因（2F和2H）。

油脂酵母产油过程多表型同时检测

在酵母累计油脂的过程中，在不同时间点取样，进行4重水孵育（A），随后检测其单细胞拉曼光谱（B，每个时间点＞1500条谱），根据不同表型的特征峰可基于同一光谱分析多个表型，如TAG累计量、饱和度及代谢活性等（C和D）。根据所获得的全谱并耦合深度学习算法，可准确（＞95%）区分不同时间点的细胞（E和F）。

不同肿瘤细胞种类区分

基于流式检测获取不同肿瘤细胞的单细胞拉曼光谱（A，每种细胞＞1500条谱），基于深度学习算法可准确（＞90%）区分不同肿瘤细胞（B和C）。

相关产品

媒体报道

• 中国科学院：青岛能源所研制出高通量流式拉曼分选仪 • 仪器信息网：Science Advances：青岛能源所推出首台高通量流式拉曼分选仪 • 分析测试百科网：青岛能源所基于pDEP-RADS推出首台高通量流式拉曼分选仪 • EurekAlert!: Scientists introduce FlowRACS for high-throuhput discovery of enzymes • News Break: Scientists introduce FlowRACS for high-throughput discovery of enzymes

星赛用户论文集萃

2025.12.25 Juline Savigny, et al., 　　Nature Communications

Single cell profiling framework reveals metabolic subpopulations as drivers of bioproduction heterogeneity AREA OF INTEREST Industrial Biotech

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FlowRACS DOI : 10.1038/s41467-025-67408-x PubMed : 41423463

2025.08.19 Jie Wang 　　Environ Sci Technol

Microplastic-Derived Dissolved Organic Matter Regulates SoilCarbon Respiration via Microbial Ecophysiological Controls AREA OF INTEREST Environment and Agriculture

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FlowRACS DOI : 10.1021/acs.est.5c07544 PubMed : 40728032

2025.07.17 Xiaotong Ji, Xixian Wang, et al., 　　Biotechnol Biofuels Bioprod

Label-free isolation of lipid-rich Saccharomyces cerevisiae mutant by high-throughput flow-mode Raman-activated cell sorting and multi-omics analysis for uncovering the mechanism of enhanced lipid accumulation AREA OF INTEREST Industrial Biotech

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Yeast

FlowRACS, Chips, Kits DOI : 10.1186/s13068-025-02677-8 PubMed : 40676605

2025.05.30 Xixian Wang, Sen Wang, Zhidian Diao, Xibao Hou, et al., 　　Proc Natl Acad Sci U S A

Label-free high-throughput live-cell sorting of genome-wide random mutagenesis libraries for metabolic traits by Raman flow cytometry AREA OF INTEREST Industrial Biotech

SPECIES

Fungi

FlowRACS, Chips, Kits DOI : 10.1073/pnas.2503641122 PubMed : 40445753

2025.05.19 Jia Zhang, Jianmei Wang, Pengfei Zhu, Zhidian Diao, et al., 　　iMetaOmics

Raman flow cytometry based single-cell species classification, viable-cell counting and vitality test for probiotic products AREA OF INTEREST Industrial Biotech

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Bacteria

FlowRACS, Chips, Kits DOI : 10.1002/imo2.70024 PubMed :

2025.04.23 Xinxin Kang, Weixing Liu, et al., 　　ACS Synth Biol

Iron-derepressed robust production of fusarinine C siderophore by Aureobasidium melanogenum AREA OF INTEREST Industrial Biotech

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Fungi

FlowRACS, Chips, Kits DOI : 10.1021/acssynbio.4c00897 PubMed : 40266998

2025.03.27 Li Liu, 　　Biosaf Health

Detecting and classifying metabolic activity of Staphylococcus aureus by D2O-probed single-cell Raman spectroscopy and machine learning AREA OF INTEREST Industrial Biotech

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FlowRACS DOI : 10.1016/j.bsheal.2025.03.004 PubMed : 40453474

2024.09.11 Xi Sun, Xin Zhou, et al., 　　Synth Syst Biotechnol

Assessing the physiological properties of baker's yeast based on single-cell Raman spectrum technology AREA OF INTEREST Industrial Biotech

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Yeast

FlowRACS, Chips DOI : 10.1016/j.synbio.2024.09.004 PubMed : 39493334

2024.04.08 Yan Ren, et al., 　　Front Microbiol

Rapid identification of lactic acid bacteria at species/subspecies level via ensemble learning of Ramanomes AREA OF INTEREST Industrial Biotech

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Bacteria

FlowRACS DOI : 10.3389/fmicb.2024.1361180 PubMed : 38650881

2023.11.11 Jingyu Cui, Rongze Chen, et al., 　　Synth Syst Biotechnol

Culture-free identification of fast-growingcyanobacteria cells by Raman-activatedgravity-driven encapsulation and sequencing AREA OF INTEREST Industrial Biotech

SPECIES

Algae

FlowRACS, RACS-Seq DOI : 10.1016/j.synbio.2023.11.001 PubMed : 38053584

2023.03.04 Xixian Wang, Lihui Ren, Zhidian Diao, Yuehui He, et al., 　　Adv Sci

Robust Spontaneous Raman Flow Cytometry for Single-Cell Metabolic Phenome Profiling via pDEP-DLD-RFC AREA OF INTEREST Industrial Biotech

SPECIES

Bacteria

Human

Yeast

FlowRACS DOI : 10.1002/advs.202207497 PubMed : 36871147

2020.08.07 Xixian Wang, et al., 　　Sci Adv

Positive dielectrophoresis–based Raman-activated droplet sorting for culture-free and label-free screening of enzyme function in vivo AREA OF INTEREST Industrial Biotech Ocean

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Algae

Yeast

FlowRACS DOI : 10.1126/sciadv.abb3521 PubMed : 32821836

2017.11.03 Xixian Wang，et al., 　　Anal Chem

Raman-Activated Droplet Sorting (RADS) for Label-Free High-Throughput Screening of Microalgal Single-Cells AREA OF INTEREST Industrial Biotech

SPECIES

Algae

FlowRACS, Chips, Kits DOI : 10.1021/acs.analchem.7b03884 PubMed : 29099582

2015.02.17 Peiran Zhang，et al., 　　Anal Chem

Raman-activated cell sorting based on dielectrophoretic single-cell trap and release AREA OF INTEREST Industrial Biotech

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Yeast

FlowRACS DOI : 10.1021/ac503974e PubMed : 25607599

2014.12.21 Qiang Zhang, et al., 　　Lab Chip

On-demand control of microfluidic flow via capillary-tuned solenoid microvalve suction AREA OF INTEREST Industrial Biotech

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Yeast

FlowRACS DOI : 10.1039/c4lc00833b PubMed : 25231434
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