- 著者
- Hiroki Okada Masahiro Mimura Shunsuke Tomita Ryoji Kurita
- 出版者
- The Japan Society for Analytical Chemistry
- 雑誌
- Analytical Sciences (ISSN:09106340)
- 巻号頁・発行日
- pp.20SCP23, (Released:2021-01-29)
- 被引用文献数
- 3
- 著者
- Hiroka SUGAI Shunsuke TOMITA Ryoji KURITA
- 出版者
- The Japan Society for Analytical Chemistry
- 雑誌
- Analytical Sciences (ISSN:09106340)
- 巻号頁・発行日
- vol.36, no.8, pp.923-934, 2020-08-10 (Released:2020-08-10)
- 参考文献数
- 105
- 被引用文献数
- 13
To capture a broader scope of complex biological phenomena, alternatives to conventional sensing based on specificity for cell detection and characterization are needed. Pattern-recognition-based sensing is an analytical method designed to mimic mammalian sensory systems for analyte identification based on the pattern recognition of multivariate data, which are generated using an array of multiple probes that cross-reactively interact with analytes. This sensing approach is significantly different from conventional specific cell sensing based on highly specific probes, including antibodies against biomarkers. Encouraged by the advantages of this technique, such as the simplicity, rapidity, and tunability of the systems without requiring a priori knowledge of biomarkers, numerous sensor arrays have been developed over the past decade and used in a variety of cell sensing applications; these include disease diagnosis, drug discovery, and fundamental research. This review summarizes recent progress in pattern-recognition-based cell sensing, with a particular focus on guidelines for designing materials and arrays, techniques for analyzing response patterns, and applications of sensor systems that are focused primarily for the biomedical field.
- 著者
- Hiroka SUGAI Shunsuke TOMITA Ryoji KURITA
- 出版者
- The Japan Society for Analytical Chemistry
- 雑誌
- Analytical Sciences (ISSN:09106340)
- 巻号頁・発行日
- pp.20R002, (Released:2020-04-03)
- 被引用文献数
- 13
- 著者
- Shunsuke TOMITA Saki YOKOYAMA Ryoji KURITA Osamu NIWA Keitaro YOSHIMOTO
- 出版者
- (社)日本分析化学会
- 雑誌
- Analytical Sciences (ISSN:09106340)
- 巻号頁・発行日
- vol.32, no.2, pp.237-240, 2016-02-10 (Released:2016-02-10)
- 参考文献数
- 27
- 被引用文献数
- 2 7
A cross-reactive sensor array consisting of polyion complexes (PICs) between anionic enzymes and poly(ethylene glycol)-modified (PEGylated) polyamines has been used to identify the source of mammalian sera. Although the catalytic activity of enzymes was inhibited by PIC formation with PEGylated polyamines, the subsequent addition of sera caused enzyme releases from PICs through competitive interactions between PICs and serum proteins, generating unique response patterns of changes in the enzyme activity. Linear discriminant analysis of the obtained patterns enabled the discrimination of five sera from different mammalian sources.