Optical spectral signatures of liquids by means of fiber optic technology for product and quality parameter identification

A. G. Mignani; L. Ciaccheri; A. A. Mencaglia; N. Diaz-Herrera; P. B. Garcia-Allende; H. Ottevaere; H. Thienpont; C. Attilio; A. Cimato; S. Francalanci; A. Paccagnini; F. S. Pavone

doi:10.2971/jeos.2009.09005

Journal of the European Optical Society - Rapid publications, Vol 4 (2009)

Optical spectral signatures of liquids by means of fiber optic technology for product and quality parameter identification

A. G. Mignani, L. Ciaccheri, A. A. Mencaglia, N. Diaz-Herrera, P. B. Garcia-Allende, H. Ottevaere, H. Thienpont, C. Attilio, A. Cimato, S. Francalanci, A. Paccagnini, F. S. Pavone

Abstract

Absorption spectroscopy in the wide 200-1700 nm spectral range is carried out by means of optical fiber instrumentation to achieve a digital mapping of liquids for the prediction of important quality parameters. Extra virgin olive oils from Italy and lubricant oils from turbines with different degrees of degradation were considered as ‘case studies’. The spectral data were processed by means of multivariate analysis so as to obtain a correlation to quality parameters. In practice, the wide range absorption spectra were considered as an optical signature of the liquids from which to extract product quality information. The optical signatures of extra virgin olive oils were used to predict the content of the most important fatty acids. The optical signatures of lubricant oils were used to predict the concentration of the most important parameters for indicating the oil’s degree of degradation, such as TAN, JOAP anti-wear index, and water content.

Full Text: PDF

Citation Details

Cite this article

References

H. M. Roche, M. J. Gibney, A. Kafatos, A. Zampelas, and C. M. Williams, "Beneficial properties of olive oil" Food Res. Int. 33, 227- 231 (2000).

U. Wahrburg, "What are the health effects of fat?" Eur. J. Nutr. 43,I/6-I/11 (2004).

J. Harwood and R. Aparicio, Handbook of Olive Oil (1st edition, Aspen Pbl, USA, 1999).

M. Jae, Oils and Fats Authentication (Blackwell Publishing, CRC Press, Boca Raton FL, 2002).

C. K. Chow, Fatty Acids in Food and their Health Implications (III Edition, Taylor & Francis Group LLC, CRC Press, Boca Raton FL, 2008).

D. I. Mostofski, S. Yehuda, and N. Salem Jr, Fatty Acids (Humana Press Inc., Totowa NJ, 2001).

J. J. Moreno and M. T. Mitjavila, "The degree of unsaturation of dietary fatty acids and the development of atherosclerosis (Review)" J. Nutr. Biochem. 14, 182-195 (2005).

R. Reynoso, L. M. Salgado, and V. Calderon, "High levels of palmitic acid lead to insulin resistance due to changes in the level of phosphorylation of the insulin receptor and insulin receptor substrate- 1" Mol. Cell. Biochem. 246, 155-162 (2003).

D. Troyer and J. Fitch, Oil Analysis Basics (Noria Corporation, Tulsa OK, 1999).

Basic Handbook of Lubrication (Society of Tribologists and Lubrication Engineers - Alberta Section, 2003).

ASTM, http://www.astm.org/

Ocean Optics Inc., http://www.oceanoptics.com/products/dh2000bal.asp

Ocean Optics Inc., http://www.oceanoptics.com/products/spectrometers.asp

Instrument Systems GmbH, http://www.instrumentsystems.de/en/products/spectrometer/spectro-320/

Ocean Optics Inc., http://www.oceanoptics.com/Products/cuvall.asp

S. Kasemsumran, Y. P. Du, K. Maruo, and Y. Ozaki, "Selective removal of interference signals for near-infrared spectra of biomedical samples by using region orthogonal signal correction" Anal. Chim. Acta 526, 193-202 (2004).

S. Wold, M. Sjöström, and L. Eriksson, "PLS-regression: a basic tool of chemometrics" Chem. Int. Lab. Sys. 58, 109-130 (2001).

E. Bertran, H. Iturriaga, S. Maspoch, and I. Montoliu, "Effect of orthogonal signal correction on the determination of coumpounds with very similar near infrared spectra" Anal. Chim. Acta 431, 303- 311 (2001).