Development of a portable surface plasmon resonance sensor with multi-sensing points based on the linear CCD sensor

Jie Zhan, Koji Furui, Hizuru Nakajima, Noriaki Kaneki, Ryoichi Ishimatsu, Koji Nakano, Toshihiko Imato, Akihide Hemmi

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A portable-type surface plasmon resonance (SPR) sensor, composed from a new optical system for multi-sensing, has been developed to apply to environment analysis, clinical diagnosis etc., where many samples are desired to be analyzed at high throughput. The optical system of the sensor consists of a light-emitting diode, a pair of cylindrical lenses, a pair of collimator lenses, a correction lens, a prism, a polarizer and a linear CCD sensor with 2048 pixels. Reflected light from a sensor chip of the width of 6 mm at a certain incident angle was detected by ca. 618 pixels of the linear CCD sensor as an SPR sensor signal. An SPR sensor signal at a specified incident angle is controllable for optimization by adjusting the position of the CCD sensor. A sensor chip having a 30-stripe linear pattern (100 μm width/stripe) was prepared. The spatial resolution as well as the performance of the sensor were evaluated by using sucrose solutions. As a result, the acquisition of SPR sensor signals from 30 sensing points was successfully achieved with a spatial resolution of 100 μm (distance between 2 sensing points). A lower detection limit of ca. 3.2-5.5 × 10 -5 RIU with a standard deviation of ±4.5% was obtained by averaging the signals from 6-7 pixels of the CCD sensor per one sensing stripe. 2016.

Original languageEnglish
Pages (from-to)673-679
Number of pages7
Journalanalytical sciences
Volume32
Issue number6
DOIs
Publication statusPublished - 2016

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry

Fingerprint Dive into the research topics of 'Development of a portable surface plasmon resonance sensor with multi-sensing points based on the linear CCD sensor'. Together they form a unique fingerprint.

Cite this