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FTIR Spectrometry with PLS Regression for Rapid TBN Determination of Worn Mineral Engine Oils

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F20%3A39916744" target="_blank" >RIV/00216275:25510/20:39916744 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26610/20:PU138324

  • Result on the web

    <a href="https://www.mdpi.com/1996-1073/13/23/6438" target="_blank" >https://www.mdpi.com/1996-1073/13/23/6438</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/en13236438" target="_blank" >10.3390/en13236438</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    FTIR Spectrometry with PLS Regression for Rapid TBN Determination of Worn Mineral Engine Oils

  • Original language description

    The TBN (Total Base Number) parameter is generally recognized by both engine oil processors and engine manufacturers as a key factor of oil quality. This is especially true for lubricating oils used in diesel and gas engines, which are exposed to relatively high temperatures and, therefore, require more effective protection against degradation. The FTIR spectrometry method together with a multivariate statistical software helped to create a model for the determination of TBN of worn motor oil SAE 15W-40 ACEA: E5/E7, API: CI-4. The best results were provided using a model FTIR with Partial Least Squares (PLS) regression in an overall range of 4000–650 cm−1 without the use of mathematical adjustments of the scanned spectra by derivation. Individual spectral information was condensed into nine principal components with linear combinations of the original absorbances at given wavenumbers that are mutually not correlated. A correlation coefficient (R) between values of TBN predicted by the FTIR-PLS model and values determined using a potentiometric titration in line with the ČSN ISO 3771 standard reached a value of 0.93. The Root Mean Square Error of Calibration (RMSEC) was determined to be 0.171 mg KOH.g−1, and the Root Mean Square Error of Prediction (RMSEP) was determined to be 0.140 mg KOH.g−1. The main advantage of the proposed FTIR-PLS model can be seen in a rapid determination and elimination of the necessity to work with dangerous chemicals. FTIR-PLS is used mainly in areas of oil analysis where the speed of analysis is often more important than high accuracy.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20704 - Energy and fuels

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Energies

  • ISSN

    1996-1073

  • e-ISSN

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    23

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    000597102900001

  • EID of the result in the Scopus database