Fast determination of biodiesel content in commercial diesel/ biodiesel blends by using digital images and multivariate calibration
Analytical Sciences, ISSN: 1348-2246, Vol: 33, Issue: 11, Page: 1285-1289
2017
- 6Citations
- 15Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations6
- Citation Indexes6
- CrossRef4
- Captures15
- Readers15
- 15
Article Description
A new simple, rapid and inexpensive analytical method was developed to determine the biodiesel percentage in biodiesel/ diesel blends through simple digital images of samples obtained by scanning with a commercial scanner. Soybean biodiesel and petroleum diesel samples were acquired from refineries currently in operation. There were prepared several mixtures within the range 1.5 to 12.0% of biodiesel in diesel oil, using the same procedure as is done in industry. The analytical signals were images recorded with a scanner. This data was decomposed with different color systems: RGB, HSV, HLS, CMYK and Grayscale. Chemometrics models based on color signals obtained from different mixtures of biodiesel/diesel were built. The quantification by using partial least squares (PLS) resulted in a RMSEP value for biodiesel of 0.9% (w/w); this load approximately 10-times smaller than the corresponding calibration range, with a correlation of 0.96 between predicted and reference values.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85033384473&origin=inward; http://dx.doi.org/10.2116/analsci.33.1285; http://www.ncbi.nlm.nih.gov/pubmed/29129869; https://link.springer.com/10.2116/analsci.33.1285; https://dx.doi.org/10.2116/analsci.33.1285; https://link.springer.com/article/10.2116/analsci.33.1285; https://www.jstage.jst.go.jp/article/analsci/33/11/33_1285/_article/-char/en/; https://www.jstage.jst.go.jp/article/analsci/33/11/33_1285/_article/-char/ja/
Springer Science and Business Media LLC
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