Nanoparticle-structured sensing array materials and pattern recognition for VOC detection

Li Han, Xiajing Shi, Wendy Wu, F. Louis Kirk, Jin Luo, Lingyan Wang, Derrick Mott, Lisa Cousineau, Stephanie I.Im Lim, Susan Lu, Chuan Jian Zhong

Research output: Contribution to journalArticlepeer-review

78 Citations (Scopus)

Abstract

Nanostructured sensing arrays combined with pattern-recognition analysis provide new opportunities for enhancing the design of sensor materials in terms of sensitivity and selectivity. In this work, we report findings of an investigation of nanostructured sensing arrays for the detection of volatile organic compounds (VOCs) and nitro-aromatic compounds (NACs) and the data analysis based on pattern recognition using principle component analysis (PCA) and artificial neural networks (ANN) techniques. The nanostructured array elements consist of thin film assemblies of alkanethiolate-monolayer-capped gold nanoparticles which were formed by molecularly mediated assembly using mediators or linkers of different chain lengths and functional groups. Each array element displayed linear responses to the vapor concentration. The observed high specificity to NACs constitutes an unprecedented example resulting from the unique combination of hydrogen-bonding donor/acceptor and hydrophobicity in the interparticle structure. A set of ANNs along with PCAs was used for the analysis of a series of vapor responses. The PCA technique was used to cluster data and feature extraction. A hierarchical BP neural network system was employed as the pattern classifier, which was shown to enhance the correct pattern-recognition rate. A satisfactory identification performance of the system has been demonstrated for a set of vapor responses. The results have also provided us important insights into the delineation of the design criteria for constructing nanostructured sensing arrays.

Original languageEnglish
Pages (from-to)431-441
Number of pages11
JournalSensors and Actuators, B: Chemical
Volume106
Issue number1 SPEC. ISS.
DOIs
Publication statusPublished - 2005 Apr 29
Externally publishedYes

Keywords

  • Nanoparticles
  • Nanostructures
  • Pattern-recognition analysis
  • Sensor arrays

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Electrical and Electronic Engineering
  • Materials Chemistry

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