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.

Highlights

  • MOTIVATIONOne of the most important issues in many industrial applications is the possibility of measurements performed in real time without any sample withdraw, which is the so-called control online

  • Et al In order to demonstrate the potential of this method, which has an application in many industrial sectors, two types of very different liquids were considered as ’case studies’, such as extra virgin olive oils (EVOOs) produced in Italy, and lubricant oils with different degree of degradation coming from big machineries

  • The wide range absorption spectra of EVOOs allowed to predicting nutritional factors such as the most important fatty acids, while the spectral signature of lubricant oils showed a significant correlation with parameters of wear identification

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Summary

MOTIVATION

One of the most important issues in many industrial applications is the possibility of measurements performed in real time without any sample withdraw, which is the so-called control online. This work presents a method of analysis for liquids capable of comparing similar samples in order to predict relevant quality parameters that are usually measured by means of bulky and expensive laboratory equipment. Absorption spectroscopy in the wide 200–1700 nm spectral range is carried out by means of optical fiber instrumentation to demonstrate the feasibility of the online approach. Et al. In order to demonstrate the potential of this method, which has an application in many industrial sectors, two types of very different liquids were considered as ’case studies’, such as extra virgin olive oils (EVOOs) produced in Italy, and lubricant oils with different degree of degradation coming from big machineries. The wide range absorption spectra of EVOOs allowed to predicting nutritional factors such as the most important fatty acids, while the spectral signature of lubricant oils showed a significant correlation with parameters of wear identification. A good fitting between predicted and true values was achieved, demonstrating that cheap micro-optic technologies and multivariate data analysis can provide a tool for low-cost product characterization

Extra virgin olive oils
Lubricant oils
ABSORPTION SPECTROSCOPY
PREDICTION OF QUALITY PARAMETERS
CONCLUSIONS
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