Orthogonal Signal Correction -- Partial Least Squares Method for Simultaneous Spectrophotometric Determination of Nickel, Cobalt, and Zinc

Ali NIAZI; Amir AZIZI

Makale detayları

Orthogonal Signal Correction -- Partial Least Squares Method for Simultaneous Spectrophotometric Determination of Nickel, Cobalt, and Zinc

Yazarlar:

Ali NIAZI | Amir AZIZI

Yayıncı:

TUBITAK

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Turkish Journal of Chemistry 2008 Vol.32 Issue 2, pp.217-228

Belge Tipi:

Makale

Yayın Tarihi:

1/2008

Belge Dili:

İngilizce

Document ID (Org No.):

2000728538

Sıklık:

İki Aylık

eISSN:

1303-6130

pISSN:

1300-0527

Özet:

 

The simultaneous determination of nickel, cobalt, and zinc  mixtures by spectrophotometric method is a difficult problem in  analytical chemistry, due to spectral interferences.  By multivariate  calibration methods, such as partial least squares (PLS) regression,  it is possible to obtain a model adjusted to the concentration values  of the mixtures used in the calibration range.  Orthogonal signal  correction (OSC) is a preprocessing technique used for removing the  information unrelated to the target variables based on constrained  principal component analysis.  OSC is a suitable preprocessing method  for partial least squares calibration of mixtures without loss of  prediction capacity using spectrophotometric method.  In this study,  the calibration model is based on absorption spectra in the 450-600 nm  range for 21 different mixtures of nickel, cobalt, and zinc.   Calibration matrices were formed from samples containing 0.025-0.55,  0.025-0.50, and 0.025-0.50 m g mL-1 for nickel, cobalt, and zinc,  respectively.  The RMSEP for nickel, cobalt, and zinc with OSC and  without OSC were 0.0127, 0.0101, and 0.0145, and 0.0045, 0.0049, and  0.0058 m g mL-1, respectively.  This procedure allows the  simultaneous determination of nickel, cobalt, and zinc in synthetic  and real samples and good reliability of the determination was proved.

 

The simultaneous determination of nickel, cobalt, and zinc  mixtures by spectrophotometric method is a difficult problem in  analytical chemistry, due to spectral interferences.  By multivariate  calibration methods, such as partial least squares (PLS) regression,  it is possible to obtain a model adjusted to the concentration values  of the mixtures used in the calibration range.  Orthogonal signal  correction (OSC) is a preprocessing technique used for removing the  information unrelated to the target variables based on constrained  principal component analysis.  OSC is a suitable preprocessing method  for partial least squares calibration of mixtures without loss of  prediction capacity using spectrophotometric method.  In this study,  the calibration model is based on absorption spectra in the 450-600 nm  range for 21 different mixtures of nickel, cobalt, and zinc.   Calibration matrices were formed from samples containing 0.025-0.55,  0.025-0.50, and 0.025-0.50 m g mL-1 for nickel, cobalt, and zinc,  respectively.  The RMSEP for nickel, cobalt, and zinc with OSC and  without OSC were 0.0127, 0.0101, and 0.0145, and 0.0045, 0.0049, and  0.0058 m g mL-1, respectively.  This procedure allows the  simultaneous determination of nickel, cobalt, and zinc in synthetic  and real samples and good reliability of the determination was proved.

Makale detayları

Orthogonal Signal Correction -- Partial Least Squares Method for Simultaneous Spectrophotometric Determination of Nickel, Cobalt, and Zinc

Yazarlar: Ali NIAZI | Amir AZIZI

Yayıncı: TUBITAK

Ana Başlıklar: Uygulamalı fizik

Dergi: Turkish Journal of Chemistry 2008 Vol.32 Issue 2, pp.217-228

Belge Tipi: Makale

Yayın Tarihi: 1/2008

Belge Dili: İngilizce

Document ID (Org No.): 2000728538

Sıklık: İki Aylık

eISSN: 1303-6130

pISSN: 1300-0527

Sayı

Yazarlar:

Ali NIAZI | Amir AZIZI

Yayıncı:

TUBITAK

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Turkish Journal of Chemistry 2008 Vol.32 Issue 2, pp.217-228

Belge Tipi:

Makale

Yayın Tarihi:

1/2008

Belge Dili:

İngilizce

Document ID (Org No.):

2000728538

Sıklık:

İki Aylık

eISSN:

1303-6130

pISSN:

1300-0527