Journal Articles

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https://hdl.handle.net/20.500.14170/1997

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Browsing Journal Articles by Subject "Chemometric"
  • Publication
    A disposable sensor for assessing Artocarpus Heterophyllus L. (Jackfruit) maturity
    ( 2003)
    Maxsim Sim
    ;
    Mohd Noor Ahmad
    ;
    Ali Yeon Md Shakaff
    ;
    Chang Ju
    ;
    Chang Cheen
    The purpose of this work was an attempt to monitor the ripeness process and to investigate the different maturity stages of jackfruit by chemometric treatment of the data obtained from the disposable sensor. Response of the sensor strip fabricated using screen- printing technology was analyzed using Principal Component Analysis (PCA) and the classification model constructed by means of Canonical Discriminant Analysis (CDA) enable unknown maturity stages of jackfruit to be identified. Results generated from the combination of the two classification principles show the capability and the performance of the sensor strip towards jackfruit analysis.
      2  11
  • Publication
    Development of multichannel artificial lipid-polymer membrane sensor for phytomedicine application
    ( 2006)
    Mohd Noor Ahmad
    ;
    Zhari Ismail
    ;
    Oon–Sim Chew
    ;
    AKM Islam
    ;
    Ali Yeon Md Shakaff
    Quality control of herbal medicines remain a challenging issue towards integrating phytomedicine into the primary health care system. As medicinal plants is a complicated system of mixtures, a rapid and cost-effective evaluation method to characterize the chemical fingerprint of the plant without performing laborious sample preparation procedure is reported. A novel research methodology based on an in-house fabricated multichannel sensor incorporating an array of artificial lipid-polymer membrane as a fingerprinting device for quality evaluation of a highly sought after herbal medicine in the Asean Region namely Eurycoma longifolia (Tongkat Ali). The sensor array is based on the principle of the bioelectronic tongue that mimics the human gustatory system through the incorporation of artificial lipid material as sensing element. The eight non-specific sensors have partially overlapping selectivity and cross-sensitivity towards the targeted analyte. Hence, electrical potential response represented by radar plot is used to characterize extracts from different parts of plant, age, batch-to-batch variation and mode of extraction of E. longifolia through the obtained potentiometric fingerprint profile. Classification model was also developed classifying various E. longifolia extracts with the aid of chemometric pattern recognition tools namely hierarchical cluster analysis (HCA) and principal component analysis (PCA). The sensor seems to be a promising analytical device for quality control based on potentiometric fingerprint analysis of phytomedicine.