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Determination of the oxidation stability of biodiesel and oils by spectrofluorimetry and multivariate calibration
Oxidation stability is an important quality parameter for biodiesel. In general, the methods used to evaluate the oxidation stability of oils and biodiesels are time-consuming. This work reports the use of spectrofluorimetry, a fast analytical technique, associated with multivariate data analysis as...
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Published in: | Talanta (Oxford) 2011-07, Vol.85 (1), p.430-434 |
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creator | Meira, Marilena Quintella, Cristina M. Tanajura, Alessandra dos Santos da Silva, Humbervânia Reis Gonçalves Fernando, Jaques D’Erasmo Santos da Costa Neto, Pedro R. Pepe, Iuri M. Santos, Mariana Andrade Nascimento, Luciana Lordelo |
description | Oxidation stability is an important quality parameter for biodiesel. In general, the methods used to evaluate the oxidation stability of oils and biodiesels are time-consuming. This work reports the use of spectrofluorimetry, a fast analytical technique, associated with multivariate data analysis as a powerful analytical tool to prediction of the oxidation stability. The prediction of the oxidation stability showed a good agreement with the results obtained by the EN14112 reference method Rancimat. The models presented high correlation (0.99276 and 0.97951) between real and predicted values. The R2 values of 0.98557 and 0.95943 indicated the accuracy of the models to predict the oxidation stability of soy oil and soy biodiesel, respectively. The residual distribution does not follow a trend with respect to the predicted variables indicating the good quality of the fits. |
doi_str_mv | 10.1016/j.talanta.2011.04.002 |
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In general, the methods used to evaluate the oxidation stability of oils and biodiesels are time-consuming. This work reports the use of spectrofluorimetry, a fast analytical technique, associated with multivariate data analysis as a powerful analytical tool to prediction of the oxidation stability. The prediction of the oxidation stability showed a good agreement with the results obtained by the EN14112 reference method Rancimat. The models presented high correlation (0.99276 and 0.97951) between real and predicted values. The R2 values of 0.98557 and 0.95943 indicated the accuracy of the models to predict the oxidation stability of soy oil and soy biodiesel, respectively. The residual distribution does not follow a trend with respect to the predicted variables indicating the good quality of the fits.</description><identifier>ISSN: 0039-9140</identifier><identifier>EISSN: 1873-3573</identifier><identifier>DOI: 10.1016/j.talanta.2011.04.002</identifier><identifier>PMID: 21645721</identifier><identifier>CODEN: TLNTA2</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Accuracy ; Analytical chemistry ; Biodiesel ; Biofuels - analysis ; Calibration ; Chemistry ; Exact sciences and technology ; Mathematical analysis ; Mathematical models ; Multivariate Analysis ; Multivariate calibration ; Oils - analysis ; Oils - chemistry ; Oxidation ; Oxidation-Reduction ; Quality Control ; Soybean Oil ; Spectrofluorimetry ; Spectrometric and optical methods ; Spectrometry, Fluorescence - methods ; Stability ; Vegetable oil</subject><ispartof>Talanta (Oxford), 2011-07, Vol.85 (1), p.430-434</ispartof><rights>2011 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 Elsevier B.V. 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In general, the methods used to evaluate the oxidation stability of oils and biodiesels are time-consuming. This work reports the use of spectrofluorimetry, a fast analytical technique, associated with multivariate data analysis as a powerful analytical tool to prediction of the oxidation stability. The prediction of the oxidation stability showed a good agreement with the results obtained by the EN14112 reference method Rancimat. The models presented high correlation (0.99276 and 0.97951) between real and predicted values. The R2 values of 0.98557 and 0.95943 indicated the accuracy of the models to predict the oxidation stability of soy oil and soy biodiesel, respectively. The residual distribution does not follow a trend with respect to the predicted variables indicating the good quality of the fits.</description><subject>Accuracy</subject><subject>Analytical chemistry</subject><subject>Biodiesel</subject><subject>Biofuels - analysis</subject><subject>Calibration</subject><subject>Chemistry</subject><subject>Exact sciences and technology</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Multivariate Analysis</subject><subject>Multivariate calibration</subject><subject>Oils - analysis</subject><subject>Oils - chemistry</subject><subject>Oxidation</subject><subject>Oxidation-Reduction</subject><subject>Quality Control</subject><subject>Soybean Oil</subject><subject>Spectrofluorimetry</subject><subject>Spectrometric and optical methods</subject><subject>Spectrometry, Fluorescence - methods</subject><subject>Stability</subject><subject>Vegetable oil</subject><issn>0039-9140</issn><issn>1873-3573</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqFkU2PFCEQhonRuOPoT9D0xXjqtmjor5Mx62eyiRc9k2ooIpPuZhbozc6_l94Z9bgJCYR6KOB9GHvNoeLA2_eHKuGES8KqBs4rkBVA_YTteN-JUjSdeMp2AGIoBy7hir2I8QCZECCes6uat7Lpar5jt58oUZjdgsn5pfC2SL-p8PfOnDdiwtFNLp220ui8cRRpKnAxhXdTLMZTEY-kU_B2Wn1wM6VweijP65TcHQaHiQqNkxvDQ8uX7JnFKdKry7xnv758_nn9rbz58fX79cebUstOpNJiJ3U9Gts0tidoraa8GIC6odEoG2ksCGxb5DgIaGvbaZB114_WUM_Rij17d-57DP52pZjU7KKmKYdGfo2q7wcped_2j5MdB-Aijz1rzqQOPsZAVh3zlzGcFAe1aVEHddGiNi0KpNpC37M3lxvWcSbz79RfDxl4ewEw5qxswEW7-J-T9SBqsXEfzhzl5O4cBRW1o0WTcSFbUMa7R57yB8pusLg</recordid><startdate>20110715</startdate><enddate>20110715</enddate><creator>Meira, Marilena</creator><creator>Quintella, Cristina M.</creator><creator>Tanajura, Alessandra dos Santos</creator><creator>da Silva, Humbervânia Reis Gonçalves</creator><creator>Fernando, Jaques D’Erasmo Santos</creator><creator>da Costa Neto, Pedro R.</creator><creator>Pepe, Iuri M.</creator><creator>Santos, Mariana Andrade</creator><creator>Nascimento, Luciana Lordelo</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QQ</scope><scope>7SR</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>20110715</creationdate><title>Determination of the oxidation stability of biodiesel and oils by spectrofluorimetry and multivariate calibration</title><author>Meira, Marilena ; 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subjects | Accuracy Analytical chemistry Biodiesel Biofuels - analysis Calibration Chemistry Exact sciences and technology Mathematical analysis Mathematical models Multivariate Analysis Multivariate calibration Oils - analysis Oils - chemistry Oxidation Oxidation-Reduction Quality Control Soybean Oil Spectrofluorimetry Spectrometric and optical methods Spectrometry, Fluorescence - methods Stability Vegetable oil |
title | Determination of the oxidation stability of biodiesel and oils by spectrofluorimetry and multivariate calibration |
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