• DocumentCode
    47374
  • Title

    The Interaction Study of Colorimetric Sensor Array and Volatile Organic Compounds Using Density Functional Theory

  • Author

    Haiyang Gu ; Xingyi Huang ; Liya Yao ; Teye, Ernest ; Yan Wen

  • Author_Institution
    Sch. of Food & Biol. Eng., Jiangsu Univ., Zhenjiang, China
  • Volume
    14
  • Issue
    8
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    2620
  • Lastpage
    2625
  • Abstract
    Density functional theory method with B3LYP/LANL2DZ basis set was performed to investigate the influence of different cations on the binding process of volatile organic compounds (VOCs) to metalloporphyrins. The optimized ground state of VOCs-metalloporphyrins is carried out to calculate binding energies, relative spin state energies, electron density, and mulliken charge. The cation has a large effect in the above calculation results. However, all the results can be cross validated by the others. The calculated binding energies can be used as the indicators to design colorimetric sensor array (CSA). While mulliken charge is another way to select the proper sensors to detect VOCs without specifically calculating the binding energies. The results of this theoretical investigation were used to design the proper sensors for CSA.
  • Keywords
    binding energy; colorimetry; density functional theory; electron density; food products; organic compounds; positive ions; sensor arrays; B3LYP; CSA; LANL2DZ; VOC; binding energy calculation; binding process; cation; colorimetric sensor array; density functional theory; electron density calculation; ground state optimization; metalloporphyrins; mulliken charge; relative spin state energy calculation; volatile organic compounds; Energy states; Geometry; Sensor arrays; Stationary state; Volatile organic compounds; Colorimetric sensor array; Colormetric sensor array; Food quality; Metalloporhyrin; Volatile organic compounds; food quality; metalloporphyrin; volatile organic compounds;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2014.2313001
  • Filename
    6777352