• DocumentCode
    3141139
  • Title

    Investigation of common compounds in high grade and low grade Aquilaria Malaccensis using correlation analysis

  • Author

    Ismail, Nurlaila ; Rahiman, Mohd Hezri Fazalul ; Jailani, Rozita ; Taib, Mohd Nasir ; Ali, Nor Azah Mohd ; Tajuddin, Saiful Nizam

  • Author_Institution
    Fac. of Electr. Eng., UiTM Shah Alam, Selangor, Malaysia
  • fYear
    2012
  • fDate
    16-17 July 2012
  • Firstpage
    277
  • Lastpage
    281
  • Abstract
    This paper presents a correlation analysis between high grade and low grade of Aquilaria Malaccensis (AM). Seven selected samples of AM were identified using Gas Chromatograph - Mass Spectra (GC-MS) and several statistical techniques have been employed. The samples were separated into two grades such as high grade and low grade. The analysis involves of normality test such as Shapiro Wilk, standard deviation, skewness, kurtosis and correlation analysis. All the analysis was done using SPSS ver. 15.0. The result shows that there are no significant correlation between high grade and low grade and it is a high correlation among compounds in similar grade. Three common compounds and highly correlated found in both grade and they are hexadecanoic acid, valencene and α-guaiene.
  • Keywords
    chemical engineering; chemical technology; chromatography; correlation methods; essential oils; mass spectra; quality control; statistical analysis; α-guaiene; GC-MS method; SPSS 15.0; Shapiro Wilk; correlation analysis; gas chromatograph-mass spectra; hexadecanoic acid; high grade Aquilaria Malaccensis; kurtosis; low grade Aquilaria Malaccensis; normality test; skewness; standard deviation; statistical techniques; valencene; Compounds; Control systems; Correlation; Data analysis; Image color analysis; Oils; Standards; Aquilaria malaccensis; agarwood oil; correlation; high grade; low grade;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and System Graduate Research Colloquium (ICSGRC), 2012 IEEE
  • Conference_Location
    Shah Alam, Selangor
  • Print_ISBN
    978-1-4673-2035-1
  • Type

    conf

  • DOI
    10.1109/ICSGRC.2012.6287176
  • Filename
    6287176