journal article·2022-10

High‐Throughput Raman‐Activated Cell Sorting in the Fingerprint Region

Matthew Lindley, Julia Gala de Pablo, Walker Peterson, Akihiro Isozaki, Kotaro Hiramatsu, Keisuke Goda

Advanced Materials Technologies· Volume 7· Issue 10
Publisher page

Abstract

Abstract Cell sorting is the workhorse of biological research and medicine. Cell sorters are commonly used to sort heterogeneous cell populations based on their intrinsic features. Raman‐activated cell sorting (RACS) has recently received considerable interest by virtue of its ability to discriminate cells by their intracellular chemical content, in a label‐free manner. However, the broad deployment of RACS beyond lab‐based demonstrations is hindered by a fundamental trade‐off between throughput and measurement bandwidth (i.e., cellular information content). Here this trade‐off is overcome and broadband RACS in the fingerprint region (300–1600 cm −1 ) with a record high throughput of ≈50 cells per second is demonstrated. This represents a 25× throughput increase compared to previous demonstrations of broadband fingerprint‐region RACS outside the resonance Raman regime. To show the utility of the RACS, real‐time label‐free sorting of microalgal cells based on their accumulation of carotenoids and polysaccharide granules is demonstrated. These results hold promise for medical, biofuel, and bioplastic applications.
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Research context

OpenAlex topics: Microfluidic and Bio-sensing Technologies · 3D Printing in Biomedical Research · Spectroscopy Techniques in Biomedical and Chemical Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry The University of Tokyo Tokyo Japan

Kanagawa Institute of Industrial Science and Technology Kanagawa Japan

Research Center for Spectrochemistry The University of Tokyo Tokyo Japan

PRESTO Japan Science and Technology Agency Saitama Japan

Institute of Technological Sciences Wuhan University Hubei China

Department of Bioengineering University of California Los Angeles CA USA

Funding

Ogasawara Foundation

References (67)

Show source-provided references
1. 10.1039/C4LC01246A10.1039/C4LC01246A ↗
2. 10.1016/j.algal.2017.12.01310.1016/j.algal.2017.12.013 ↗
3. Lippé R. · J. Virol. · 2017 · 92 · 01765
4. 10.1016/j.biopha.2016.11.04810.1016/j.biopha.2016.11.048 ↗
5. 10.1002/cyto.a.2202210.1002/cyto.a.22022 ↗
6. 10.1016/j.bej.2009.07.01310.1016/j.bej.2009.07.013 ↗
7. 10.1371/journal.pone.001605310.1371/journal.pone.0016053 ↗
8. 10.1039/D0LC00080A10.1039/D0LC00080A ↗
9. 10.1016/j.cell.2018.08.02810.1016/j.cell.2018.08.028 ↗
10. 10.1038/s41592-020-0831-y10.1038/s41592-020-0831-y ↗
11. 10.1021/acs.analchem.0c0535210.1021/acs.analchem.0c05352 ↗
12. 10.1002/admt.20210090610.1002/admt.202100906 ↗
13. 10.1038/nri141610.1038/nri1416 ↗
14. 10.1021/acs.accounts.1c0000110.1021/acs.accounts.1c00001 ↗
15. 10.1364/OL.30.00180010.1364/OL.30.001800 ↗
16. 10.1039/b803598a10.1039/b803598a ↗
17. 10.1111/j.1758-2229.2008.00002.x10.1111/j.1758-2229.2008.00002.x ↗
18. 10.1021/ac403107p10.1021/ac403107p ↗
19. 10.1021/ac503974e10.1021/ac503974e ↗
20. 10.1039/C6LC00251J10.1039/C6LC00251J ↗
21. 10.1021/acs.analchem.7b0388410.1021/acs.analchem.7b03884 ↗
22. 10.1111/1462-2920.1426810.1111/1462-2920.14268 ↗
23. 10.1039/D0LC00679C10.1039/D0LC00679C ↗
24. 10.1038/s41467-020-17285-310.1038/s41467-020-17285-3 ↗
25. 10.1126/sciadv.abb352110.1126/sciadv.abb3521 ↗
26. Jing X. · mSystems · 2021 · 6 · 00181
27. 10.1038/s41564-019-0394-910.1038/s41564-019-0394-9 ↗
28. 10.1111/1751-7915.1242010.1111/1751-7915.12420 ↗
29. 10.1111/1462-2920.1426810.1111/1462-2920.14268 ↗
30. 10.1021/acs.analchem.9b0534510.1021/acs.analchem.9b05345 ↗
31. Potma E. O. · 2016 · 3
32. 10.1126/sciadv.aau024110.1126/sciadv.aau0241 ↗
33. 10.1038/srep2103610.1038/srep21036 ↗
34. 10.1364/BOE.38295710.1364/BOE.382957 ↗
35. 10.1039/C7LC00536A10.1039/C7LC00536A ↗
36. 10.3390/molecules2417311410.3390/molecules24173114 ↗
37. 10.1186/s13068-017-0753-910.1186/s13068-017-0753-9 ↗
38. 10.1016/j.btre.2018.e0029810.1016/j.btre.2018.e00298 ↗
39. 10.1016/j.carbpol.2018.12.05710.1016/j.carbpol.2018.12.057 ↗
40. 10.1016/j.jbiotec.2015.04.00410.1016/j.jbiotec.2015.04.004 ↗
41. 10.1016/j.bbrc.2017.09.16710.1016/j.bbrc.2017.09.167 ↗
42. 10.1292/jvms.09-052610.1292/jvms.09-0526 ↗
43. 10.1039/c3fo60256g10.1039/c3fo60256g ↗
44. 10.1016/0166-3542(93)90063-O10.1016/0166-3542(93)90063-O ↗
45. 10.3389/fbioe.2019.0010810.3389/fbioe.2019.00108 ↗
46. Inui H. · 2017 · 26910.1007/978-3-319-54910-1_13 ↗
47. 10.1016/j.carbpol.2014.01.05310.1016/j.carbpol.2014.01.053 ↗
48. 10.1371/journal.pone.019532910.1371/journal.pone.0195329 ↗
49. 10.1038/srep1493610.1038/srep14936 ↗
50. 10.3390/md1206348710.3390/md12063487 ↗
51. 10.3389/fpls.2016.0053110.3389/fpls.2016.00531 ↗
52. 10.1038/s41598-018-26565-410.1038/s41598-018-26565-4 ↗
53. 10.1021/acs.jafc.9b0458810.1021/acs.jafc.9b04588 ↗
54. 10.3389/fpls.2019.0107510.3389/fpls.2019.01075 ↗
55. 10.1364/OL.29.00292310.1364/OL.29.002923 ↗
56. 10.1364/OE.14.00844810.1364/OE.14.008448 ↗
57. 10.1364/OL.44.00528210.1364/OL.44.005282 ↗
58. 10.1103/PhysRevLett.90.21390210.1103/PhysRevLett.90.213902 ↗
59. 10.1103/PhysRevLett.111.10390210.1103/PhysRevLett.111.103902 ↗
60. 10.1021/acsphotonics.0c0165610.1021/acsphotonics.0c01656 ↗
61. 10.1038/nmeth.457810.1038/nmeth.4578 ↗
62. 10.1002/smll.20130288510.1002/smll.201302885 ↗
63. 10.1016/j.vibspec.2020.10304210.1016/j.vibspec.2020.103042 ↗
64. 10.1364/OE.17.00952610.1364/OE.17.009526 ↗
65. 10.1126/sciadv.aba671210.1126/sciadv.aba6712 ↗
66. 10.1364/OE.26.01885510.1364/OE.26.018855 ↗
67. 10.1364/JOSAB.16.00200510.1364/JOSAB.16.002005 ↗