Title: | Molecularly imprinted sol-gel/Au@Ag core-shell nano-urchin localized surface plasmon resonance sensor designed in reflection mode for detection of organic acid vapors |
Author(s): | Chen B; Guo H; Liu C; Shang L; Ye X; Chen L; Feng C; Hayashi K; |
Address: | "Chongqing Key Laboratory of Non-linear Circuit and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, 400715, PR China. Electronic address: chenbin121@swu.edu.cn. Department of Electronics, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, 819-0395, Japan. Chongqing Key Laboratory of Non-linear Circuit and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, 400715, PR China. Department of Electronics, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, 819-0395, Japan. Electronic address: hayashi@ed.kyushu-u.ac.jp" |
DOI: | 10.1016/j.bios.2020.112639 |
ISSN/ISBN: | 1873-4235 (Electronic) 0956-5663 (Linking) |
Abstract: | "A molecularly imprinted sol-gel (MISG)/Au@Ag core-shell NU sensor is proposed for organic vapor detection in an optical fiber-based reflection mode. The compact structure design of the system in the reflection model is promising for practical use as a portable and rapid responsivity sensing probe. Volatile organic acids (OAs) are analogs to biogenetic volatile organic vapors related to specific human diseases. Here, Au@Ag core-shell nano-urchins exhibiting branched tips were synthesized and deposited on indium tin oxide (ITO) glass in small dimer and trimmer clusters to generate an enhanced electric field. A MISG solution was then spin-coated on the substrate to fabricate MISG-LSPR sensors, and three types of MISGs were developed for the detection of hexanoic acid, heptanoic acid and octanoic acid. The normalized spectral response indicated selectivity of the MISG-LSPR sensors for the corresponding template OAs. With Native Bayes and linear discriminant analysis of the sensor responses, where the latter were detected by the proposed system, single- and mixed-OA vapors could be classified into separate clusters. This signified that the proposed MISG-LSPR sensor can be applied toward pattern recognition of single vapors or multiple vapor mixtures" |
Keywords: | Bayes Theorem *Biosensing Techniques Gold Humans Silver *Surface Plasmon Resonance Biogenetic volatile organic compound Localized surface plasmon resonance Molecularly imprinted sol-gel Vapor clustering; |
Notes: | "MedlineChen, Bin Guo, Hao Liu, Chuanjun Shang, Liang Ye, Xiao Chen, Lin Feng, Changhao Hayashi, Kenshi eng England 2020/09/27 Biosens Bioelectron. 2020 Dec 1; 169:112639. doi: 10.1016/j.bios.2020.112639. Epub 2020 Sep 20" |