Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/159352
Title: | Imaging-based optofluidic biolaser array encapsulated with dynamic living organisms | Authors: | Gong, Xuerui Feng, Shilun Qiao, Zhen Chen, Yu-Cheng |
Keywords: | Engineering::Electrical and electronic engineering Engineering::Bioengineering |
Issue Date: | 2021 | Source: | Gong, X., Feng, S., Qiao, Z. & Chen, Y. (2021). Imaging-based optofluidic biolaser array encapsulated with dynamic living organisms. Analytical Chemistry, 93(14), 5823-5830. https://dx.doi.org/10.1021/acs.analchem.1c00020 | Project: | A2084c0063 NAP SUG-M4082308.040 |
Journal: | Analytical Chemistry | Abstract: | Optofluidic biolasers have emerged as promising tools for biomedical analysis due to their strong light-matter interactions and miniaturized size. Recent developments in optofluidic lasers have opened a new Frontier in monitoring biological processes. However, most biolasers require precise recording of the lasing spectrum at the single cavity level, which limits its application in high-throughput applications. Herein, a microdroplet laser array encapsulated with living Escherichia coli was printed on highly reflective mirrors, where laser emission images were employed to reflect the dynamic changes in living organisms. The concept of image-based lasing analysis was proposed by quantifying the integrated pixel intensity of the lasing image from whispering-gallery modes. Finally, dynamic interactions between E. coli and antibiotic drugs were compared under fluorescence and laser emission images. The amplification that occurred during laser generation enabled the quantification of tiny biological changes in the gain medium. Laser imaging presented a significant increase in integrated pixel intensity by 2 orders of magnitude. Our findings demonstrate that image-based lasing analysis is more sensitive to dynamic changes than fluorescence analysis, paving the way for high-throughput on-chip laser analysis of living organisms. | URI: | https://hdl.handle.net/10356/159352 | ISSN: | 0003-2700 | DOI: | 10.1021/acs.analchem.1c00020 | Schools: | School of Electrical and Electronic Engineering School of Chemical and Biomedical Engineering |
Rights: | © 2021 American Chemical Society. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Journal Articles SCBE Journal Articles |
SCOPUSTM
Citations
20
10
Updated on Sep 24, 2023
Web of ScienceTM
Citations
20
9
Updated on Sep 24, 2023
Page view(s)
41
Updated on Sep 25, 2023
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.