Mid- infrared uncooled sensor for the identification of pure fuel, additives and adulterants in gasoline
The aim of the present study is to test the ability of a low-cost and portable middle infrared spectrometer based on a linear array of 1×128 of PbSe, coupled with a linear variable optical filter in the wavelength range of 3–4.5μm, for the differentiation of pure chemical substances and quality cont...
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Veröffentlicht in: | Fuel processing technology 2018-03, Vol.171, p.287-292 |
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description | The aim of the present study is to test the ability of a low-cost and portable middle infrared spectrometer based on a linear array of 1×128 of PbSe, coupled with a linear variable optical filter in the wavelength range of 3–4.5μm, for the differentiation of pure chemical substances and quality control of fuels. Potential additives and adulterants for gasoline were tested, considering the alcohols ethanol, n-butanol, n-propanol and n-hexanol as potential additives and methanol and diesel oils as adulterants. Multivariate analysis of variance (MANOVA) applied to the scores obtained in the Principal Component Analysis (PCA) was conducted to analyze the spectral data and distinguish between the individual components. For the purposes of classifying anonymous samples, the centroid of each pure substance in the canonical variables was calculated, followed by the distance calculated between new samples to such centroids, assigning the individual to the most proximate category. The results demonstrated that the technique was able to discriminate between gasoline, diesel oils and the alcohols methanol, ethanol, n-propanol, n-butanol and n-hexanol and that it had the potential to be applied in the fuel industry.
•Identification of pure chemical substances by MIR spectroscopy in the range of 3–4.5μm.•Classification of new chemical substances measured with this device.•Potential application in quality control, concretely in the fuel industry, for the detection of adulterants. |
doi_str_mv | 10.1016/j.fuproc.2017.09.018 |
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•Identification of pure chemical substances by MIR spectroscopy in the range of 3–4.5μm.•Classification of new chemical substances measured with this device.•Potential application in quality control, concretely in the fuel industry, for the detection of adulterants.</description><subject>Additives</subject><subject>Adulterants</subject><subject>Alcohols</subject><subject>Butanol</subject><subject>Centroids</subject><subject>Diesel fuels</subject><subject>Ethanol</subject><subject>Fuel additives</subject><subject>Fuel adulterants</subject><subject>Gasoline</subject><subject>Infrared detectors</subject><subject>Infrared spectrometers</subject><subject>Mathematical analysis</subject><subject>Methanol</subject><subject>Mid-infrared spectroscopy</subject><subject>Multivariate analysis</subject><subject>Principal components analysis</subject><subject>Quality control</subject><subject>Studies</subject><subject>Variance analysis</subject><issn>0378-3820</issn><issn>1873-7188</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kEFr3DAQhUVIIdtt_kEOglxrd2TZlnwplCVpCxtyac9ClkZdLa60leRA_n20bM85DDMD771hPkLuGLQM2Pjl2Lr1lKJpO2CihakFJq_IhknBG8GkvCYb4EI2XHZwQz7mfASAYZjEhhyevG2oDy7phJauwcS41CFjyDFRV6sckHqLoXjnjS4-BhodPa0JqVtx-Uy1tb74F8xUB1u3dSmYdCi55tI_OsfFB_xEPji9ZLz937fk9-PDr92PZv_8_efu274xPROlMTDOfNBuGoXtXG-15c5qMc-SSeO0nCYYpRzHebYwMNcNoutHN7seEI3hnG_J_SW3Avm3Yi7qGNcU6knVAe96ybgYqqq_qEyKOSd06pT8X51eFQN1ZqqO6sJUnZkqmFRlWm1fLzasH7x4TCobj8Gg9QlNUTb69wPeAIgDg58</recordid><startdate>20180301</startdate><enddate>20180301</enddate><creator>Maldonado, María</creator><creator>Barreiro, Pilar</creator><creator>Gutiérrez, Raul</creator><creator>Vergara, Germán</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20180301</creationdate><title>Mid- infrared uncooled sensor for the identification of pure fuel, additives and adulterants in gasoline</title><author>Maldonado, María ; Barreiro, Pilar ; Gutiérrez, Raul ; Vergara, Germán</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-c06b35af967d2f4dad3fda7bb818cfa899068866bbd051f257246fbf40eecc333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Additives</topic><topic>Adulterants</topic><topic>Alcohols</topic><topic>Butanol</topic><topic>Centroids</topic><topic>Diesel fuels</topic><topic>Ethanol</topic><topic>Fuel additives</topic><topic>Fuel adulterants</topic><topic>Gasoline</topic><topic>Infrared detectors</topic><topic>Infrared spectrometers</topic><topic>Mathematical analysis</topic><topic>Methanol</topic><topic>Mid-infrared spectroscopy</topic><topic>Multivariate analysis</topic><topic>Principal components analysis</topic><topic>Quality control</topic><topic>Studies</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maldonado, María</creatorcontrib><creatorcontrib>Barreiro, Pilar</creatorcontrib><creatorcontrib>Gutiérrez, Raul</creatorcontrib><creatorcontrib>Vergara, Germán</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Fuel processing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Maldonado, María</au><au>Barreiro, Pilar</au><au>Gutiérrez, Raul</au><au>Vergara, Germán</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mid- infrared uncooled sensor for the identification of pure fuel, additives and adulterants in gasoline</atitle><jtitle>Fuel processing technology</jtitle><date>2018-03-01</date><risdate>2018</risdate><volume>171</volume><spage>287</spage><epage>292</epage><pages>287-292</pages><issn>0378-3820</issn><eissn>1873-7188</eissn><abstract>The aim of the present study is to test the ability of a low-cost and portable middle infrared spectrometer based on a linear array of 1×128 of PbSe, coupled with a linear variable optical filter in the wavelength range of 3–4.5μm, for the differentiation of pure chemical substances and quality control of fuels. Potential additives and adulterants for gasoline were tested, considering the alcohols ethanol, n-butanol, n-propanol and n-hexanol as potential additives and methanol and diesel oils as adulterants. Multivariate analysis of variance (MANOVA) applied to the scores obtained in the Principal Component Analysis (PCA) was conducted to analyze the spectral data and distinguish between the individual components. For the purposes of classifying anonymous samples, the centroid of each pure substance in the canonical variables was calculated, followed by the distance calculated between new samples to such centroids, assigning the individual to the most proximate category. The results demonstrated that the technique was able to discriminate between gasoline, diesel oils and the alcohols methanol, ethanol, n-propanol, n-butanol and n-hexanol and that it had the potential to be applied in the fuel industry.
•Identification of pure chemical substances by MIR spectroscopy in the range of 3–4.5μm.•Classification of new chemical substances measured with this device.•Potential application in quality control, concretely in the fuel industry, for the detection of adulterants.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.fuproc.2017.09.018</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Additives Adulterants Alcohols Butanol Centroids Diesel fuels Ethanol Fuel additives Fuel adulterants Gasoline Infrared detectors Infrared spectrometers Mathematical analysis Methanol Mid-infrared spectroscopy Multivariate analysis Principal components analysis Quality control Studies Variance analysis |
title | Mid- infrared uncooled sensor for the identification of pure fuel, additives and adulterants in gasoline |
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