• Title of article

    Chemometric tools to highlight non-intentionally added substances (NIAS) in polyethylene terephthalate (PET)

  • Author/Authors

    Kassouf، Wassim نويسنده Division of Urology & Robotics, McGill University Health Centre , , Amine and Maalouly، نويسنده , , Jacqueline and Chebib، نويسنده , , Hanna and Rutledge، نويسنده , , Douglas N. and Ducruet، نويسنده , , Violette، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2013
  • Pages
    10
  • From page
    928
  • To page
    937
  • Abstract
    In an effort to identify non-intentionally added substances (NIAS), which is still a challenging task for analytical chemists, PET pellets, preforms and bottles were analyzed by an optimized headspace solid phase microextraction coupled to gas chromatography–mass spectrometry (HS–SPME/GC–MS). Fingerprints obtained by the proposed method were analyzed by three chemometric tools: Principal Components Analysis (PCA), Independent Components Analysis (ICA) and a multi-block method (Common Components and Specific Weights Analysis CCSWA) in order to extract pertinent variations in NIAS concentrations. Total ion current (TIC) chromatograms were used for PCA and ICA while extracted ion chromatograms (EIC) were used for CCSWA, each ion corresponding to a block. PCA managed to discriminate pellets and preforms from bottles due to several NIAS. Volatiles like 2-methyl-1,3-dioxolane, ethylene glycol, ethylbenzene and xylene were responsible for the discrimination of pellets and preforms. Less volatile compounds like linear aldehydes and phthalates were responsible for the discrimination of bottles. ICA showed more specific discriminations especially for bottles and pellets while CCSWA managed to discriminate preforms. The proposed methodology, combining HS–SPME/GC–MS with chemometric tools proved its efficiency in highlighting NIAS in PET samples in a relatively simple and fast approach compared to classical techniques.
  • Keywords
    PET , NIAS , Principal components analysis (PCA) , Independent Components Analysis (ICA) , HS–SPME/GC–MS , Common Components and Specific Weights Analysis (CCSWA)
  • Journal title
    Talanta
  • Serial Year
    2013
  • Journal title
    Talanta
  • Record number

    1668625