Discrimination of target proteins using arrayed fluorescent liposomes incorporated with cholesterol by principal component analysis

R. Imamura, Z. Zhang, T. Yoshikawa, N. Murata, K. Yamashita, M. Fukuzawa, M. Noda, Toshinori Shimanouchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A bio array sensing system is newly composed utilizing different phospholipid liposomes encapsulating fluorescent molecules. We have confirmed a high output intensity of fluorescence emission due to the characteristics dependent on the concentration of fluorescent molecules when the fluorescent molecules leak from inside of the liposome through perturbed lipid membrane. After measuring a whole array image of fluorescence emission output from every element of liposome sensor by a new CMOS imager system, the outputs of fluorescence emission from all the elements were analyzed by a statistical method of principal component analysis (PCA). It was found from obtained PCA plots that different species of proteins with several concentrations were discriminated with high cumulative contribution ratio.

Original languageEnglish
Title of host publication2015 IEEE SENSORS - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479982028
DOIs
Publication statusPublished - Dec 31 2015
Event14th IEEE SENSORS - Busan, Korea, Republic of
Duration: Nov 1 2015Nov 4 2015

Other

Other14th IEEE SENSORS
CountryKorea, Republic of
CityBusan
Period11/1/1511/4/15

Fingerprint

Liposomes
Cholesterol
cholesterol
principal components analysis
Principal component analysis
discrimination
Fluorescence
proteins
Proteins
fluorescence
Molecules
output
molecules
encapsulating
Phospholipids
Membrane Lipids
Image sensors
lipids
CMOS
Statistical methods

Keywords

  • Array
  • Biosensor
  • Cholesterol
  • Fluorescence
  • Liposome
  • Principal Component Analysis
  • Protein

ASJC Scopus subject areas

  • Instrumentation
  • Electronic, Optical and Magnetic Materials
  • Spectroscopy
  • Electrical and Electronic Engineering

Cite this

Imamura, R., Zhang, Z., Yoshikawa, T., Murata, N., Yamashita, K., Fukuzawa, M., ... Shimanouchi, T. (2015). Discrimination of target proteins using arrayed fluorescent liposomes incorporated with cholesterol by principal component analysis. In 2015 IEEE SENSORS - Proceedings [7370493] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSENS.2015.7370493

Discrimination of target proteins using arrayed fluorescent liposomes incorporated with cholesterol by principal component analysis. / Imamura, R.; Zhang, Z.; Yoshikawa, T.; Murata, N.; Yamashita, K.; Fukuzawa, M.; Noda, M.; Shimanouchi, Toshinori.

2015 IEEE SENSORS - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. 7370493.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Imamura, R, Zhang, Z, Yoshikawa, T, Murata, N, Yamashita, K, Fukuzawa, M, Noda, M & Shimanouchi, T 2015, Discrimination of target proteins using arrayed fluorescent liposomes incorporated with cholesterol by principal component analysis. in 2015 IEEE SENSORS - Proceedings., 7370493, Institute of Electrical and Electronics Engineers Inc., 14th IEEE SENSORS, Busan, Korea, Republic of, 11/1/15. https://doi.org/10.1109/ICSENS.2015.7370493
Imamura R, Zhang Z, Yoshikawa T, Murata N, Yamashita K, Fukuzawa M et al. Discrimination of target proteins using arrayed fluorescent liposomes incorporated with cholesterol by principal component analysis. In 2015 IEEE SENSORS - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. 7370493 https://doi.org/10.1109/ICSENS.2015.7370493
Imamura, R. ; Zhang, Z. ; Yoshikawa, T. ; Murata, N. ; Yamashita, K. ; Fukuzawa, M. ; Noda, M. ; Shimanouchi, Toshinori. / Discrimination of target proteins using arrayed fluorescent liposomes incorporated with cholesterol by principal component analysis. 2015 IEEE SENSORS - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015.
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