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dc.contributor.authorXu, Jiasheng
dc.contributor.authorZhang, Jie
dc.contributor.authorYang, Dongjiang
dc.date.accessioned2017-05-03T12:44:00Z
dc.date.available2017-05-03T12:44:00Z
dc.date.issued2013
dc.date.modified2014-06-17T04:52:19Z
dc.identifier.issn0253-5106
dc.identifier.urihttp://hdl.handle.net/10072/60444
dc.description.abstractIn this work, the near infrared spectroscopy (NIR) method to determine the diesel group composition has been successfully designed. The 93 representative sample of diesel oil are selected to determine the group composition. These samples are covering a wide range and the concentration is evenly distributed. The multiple linear regression method is chosen to establish the calibration model. 17 samples are used to verify the calibration model. The paired t test statistic is 0.05. It is smaller the t-value 2.12, when the significance level is 0.05. The repeatability of the NIR method is better than the standard method. Compared to the reference method, the NIR method is simple, fast; do not consume the sample and organic solvents. This NIR method to determine the diesel group composition is feasible and repeatable and can meet the requirement in the small oil refinery.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.publisherChemical Society of Pakistan
dc.publisher.placePakistan
dc.publisher.urihttp://jcsp.org.pk/ViewByVolume.aspx?v=190&i=VOLUME%2035,%20NO1,%20FEB%202013
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom180
dc.relation.ispartofpageto187
dc.relation.ispartofissue1
dc.relation.ispartofjournalJournal of The Chemical Society of Pakistan
dc.relation.ispartofvolume35
dc.rights.retentionY
dc.subject.fieldofresearchChemical Sciences not elsewhere classified
dc.subject.fieldofresearchcode039999
dc.titleDetermination of Diesel Group Composition by Near Infrared Spectroscopy
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorYang, Dongjiang


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