مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

387
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

222
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

LINEAR AND NONLINEAR MULTIVARIATE CLASSIFICATION OF IRANIAN BOTTLED MINERAL WATERS ACCORDING TO THEIR ELEMENTAL CONTENT DETERMINED BY ICP-OES

Pages

  15-22

Abstract

 The combinations of inductively coupled plasma-optical emission spectrometry (ICP-OES) and three classification algorithms, i.e., partial least squares discriminant analysis (PLS-DA), least squares support vector machine (LS-SVM) and soft independent modeling of class analogies (SIMCA), for discriminating different brands of Iranian bottled mineral waters, were explored. ICP-OES was used for the determination of Li, Na, K, Ca, Mg, Sr, Ba, B, Si and Zn in bottled mineral waters (150 samples) from 30 brands. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) showed differences in water samples according to the mineral composition.120 samples (4 for each brand) were selected randomly for the calibration set, and 30 samples (1 for each brand) for the prediction set. PLS-DA, LS-SVM and SIMCA were implemented for calibration models. The results suggest that ICP-OES combined with PLS-DA, LS-SVM and SIMCA models had the capability to discriminate the different brands of mineral waters with high accuracy. The model can resolve the tap water samples from classified mineral waters accordingly.

Multimedia

  • No record.
  • Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    GHASEMI, J.B., ZOLFONOUN, E., & KHOSROUKHAVAR, R.. (2013). LINEAR AND NONLINEAR MULTIVARIATE CLASSIFICATION OF IRANIAN BOTTLED MINERAL WATERS ACCORDING TO THEIR ELEMENTAL CONTENT DETERMINED BY ICP-OES. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, 24(1), 15-22. SID. https://sid.ir/paper/593771/en

    Vancouver: Copy

    GHASEMI J.B., ZOLFONOUN E., KHOSROUKHAVAR R.. LINEAR AND NONLINEAR MULTIVARIATE CLASSIFICATION OF IRANIAN BOTTLED MINERAL WATERS ACCORDING TO THEIR ELEMENTAL CONTENT DETERMINED BY ICP-OES. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN[Internet]. 2013;24(1):15-22. Available from: https://sid.ir/paper/593771/en

    IEEE: Copy

    J.B. GHASEMI, E. ZOLFONOUN, and R. KHOSROUKHAVAR, “LINEAR AND NONLINEAR MULTIVARIATE CLASSIFICATION OF IRANIAN BOTTLED MINERAL WATERS ACCORDING TO THEIR ELEMENTAL CONTENT DETERMINED BY ICP-OES,” JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, vol. 24, no. 1, pp. 15–22, 2013, [Online]. Available: https://sid.ir/paper/593771/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button