Surface-enhanced Raman scattering (SERS) tags have been intensively applied in biological detection and imaging in recent years. However, both applications often suffer from high Raman background signals from containers such as 96-well plates or autofluorescence signals from biological tissues. Here, we greatly mitigate the influence of these high background Raman or fluorescent signals in both biological detection and imaging using two multivariate curve resolution (MCR) methods including negative matrix factorization and classical least squares. The limit of detection is lowered by one order of magnitude after applying MCR methods to detect target SERS tags in a 96-well plate. Additionally, in a multiplexed cell imaging assay, both false-negative and false-positive results were eliminated with the aid of MCR methods. Accordingly, we suggest a wider application of MCR methods during both biological detection and imaging of SERS tags with high background signals.
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7 May 2019
Research Article|
May 01 2019
Improvement of surface-enhanced Raman scattering detection and imaging by multivariate curve resolution methods

Special Collection:
Magnetic and Plasmonic Nanoparticles for Biomedical Devices
Ziyang Tan;
Ziyang Tan
1
State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University
, Shanghai 200030, People’s Republic of China
Search for other works by this author on:
Yuqing Zhang;
Yuqing Zhang
1
State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University
, Shanghai 200030, People’s Republic of China
2
College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University
, Hangzhou, People’s Republic of China
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Benjamin D. Thackray;
Benjamin D. Thackray
1
State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University
, Shanghai 200030, People’s Republic of China
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Jian Ye
Jian Ye
a)
1
State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University
, Shanghai 200030, People’s Republic of China
a)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Ziyang Tan
1
Yuqing Zhang
1,2
Benjamin D. Thackray
1
Jian Ye
1,a)
1
State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University
, Shanghai 200030, People’s Republic of China
2
College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University
, Hangzhou, People’s Republic of China
a)Author to whom correspondence should be addressed: [email protected]
Note: This paper is part of the Special Topic on Magnetic and Plasmonic Nanoparticles for Biomedical Devices.
J. Appl. Phys. 125, 173101 (2019)
Article history
Received:
February 02 2019
Accepted:
March 17 2019
Connected Content
A companion article has been published:
Reducing background signals in SERS detection and imaging
Citation
Ziyang Tan, Yuqing Zhang, Benjamin D. Thackray, Jian Ye; Improvement of surface-enhanced Raman scattering detection and imaging by multivariate curve resolution methods. J. Appl. Phys. 7 May 2019; 125 (17): 173101. https://doi.org/10.1063/1.5091477
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