Application of FTIR spectrometry using multivariate analysis for prediction fuel in engine oil

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F17%3A39902757" target="_blank" >RIV/00216275:25510/17:39902757 - isvavai.cz</a>

Výsledek na webu

<a href="https://acta.mendelu.cz/media/pdf/actaun_2017065030933.pdf" target="_blank" >https://acta.mendelu.cz/media/pdf/actaun_2017065030933.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11118/actaun201765030933" target="_blank" >10.11118/actaun201765030933</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Application of FTIR spectrometry using multivariate analysis for prediction fuel in engine oil

Popis výsledku v původním jazyce

This work presents the potentiality of partial least squares (PLS) regression associated with Fourier transform infrared spectroscopy (FTIR spectrometry) for detecting penetration of diesel fuel into the mineral engine oil SAE 15W-40 in the concentration range from 0% to 9.5% (w/w). As a best practice has proven FTIR-PLS model, which uses the data file in the spectral range 835–688 cm-1.The quality of the model was evaluated using the root mean square error of calibration (RMSEC) and cross validation (RMSECV). A correlation coefficient R=0.999 and values of RMSEC, RMSECV were obtained 0.11% and 0.38% respectively. After the calibration of the FTIR spectrometer, the contamination engine oil with diesel fuel could be obtained in 1–2 min per sample.

Název v anglickém jazyce

Application of FTIR spectrometry using multivariate analysis for prediction fuel in engine oil

Popis výsledku anglicky

This work presents the potentiality of partial least squares (PLS) regression associated with Fourier transform infrared spectroscopy (FTIR spectrometry) for detecting penetration of diesel fuel into the mineral engine oil SAE 15W-40 in the concentration range from 0% to 9.5% (w/w). As a best practice has proven FTIR-PLS model, which uses the data file in the spectral range 835–688 cm-1.The quality of the model was evaluated using the root mean square error of calibration (RMSEC) and cross validation (RMSECV). A correlation coefficient R=0.999 and values of RMSEC, RMSECV were obtained 0.11% and 0.38% respectively. After the calibration of the FTIR spectrometer, the contamination engine oil with diesel fuel could be obtained in 1–2 min per sample.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20702 - Petroleum engineering (fuel, oils)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

ISSN

1211-8516

e-ISSN

—

Svazek periodika

65

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

6

Strana od-do

933-938

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85021840530