4.7 Article

LSPR sensor array based on molecularly imprinted sol-gels for pattern recognition of volatile organic acids

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 249, Issue -, Pages 14-21

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2017.04.048

Keywords

Human body odor; Volatile organic acid; Localized surface plasma resonance; Molecularly imprinted sol-gel; Sensor array; Linear discriminant analysis

Funding

  1. China Scholarship Council (CSC)
  2. JSPS KAKENHI [25420409, 15H01713]
  3. China Postdoctoral Science Foundation [2016M602631]
  4. Grants-in-Aid for Scientific Research [15H01713, 25420409] Funding Source: KAKEN

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Volatile organic acids are important compounds contained in human body odor. The detection and recognition of volatile organic acids in human body odor are significant in many areas. The present study explored a possibility to use localized surface plasmon resonance (LSPR) of Au nanoparticles (AuNPs) and molecularly imprinted sol-gels (MISGs) as the sensitive layer to recognize typical organic acid odorants, propanoic acid (PA), hexanoic acid (HA), heptanoic acid (HPA) and octanoic acid (OA), from human body. The LSPR layer was prepared by vacuum sputtering of AuNPs on a glass substrate and consequently thermal annealing. The sensitive layer was fabricated by spin-coating molecularly imprinted titanate sol-gel on the AuNPs layer. A homemade optical device was developed to detect the change of transmittance, which was caused by the index changes of organic acid vapors where selecting absorbed by the MISG layers. It was found that compared with MISG coated samples, samples coated with non-imprinted sol gel (NISG) shown no responses to any acid vapors. For the MISG coated sensors, the LSPR sensitivity was affected by the spin coating speed. In addition, a sensor array based on MISGs with different templates (HA, HPA and OA) was constructed to detect the organic acids in single and their binary mixtures. The sensor response was analyzed by principal component analysis (PCA) and linear discriminant analysis (LDA). A 100% classification rate was achieved by leave-one-out cross-validation technique for LDA model. This work demonstrated that the MISGs coated LSPR sensor array has a great potential in organic acid odor recognition of human body odor. (C) 2017 Elsevier B.V. All rights reserved.

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