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Prediction of 2-EHN content in diesel/biodiesel blends using FTIR and chemometrics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22320%2F18%3A43913203" target="_blank" >RIV/60461373:22320/18:43913203 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.talanta.2017.09.003" target="_blank" >http://dx.doi.org/10.1016/j.talanta.2017.09.003</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.talanta.2017.09.003" target="_blank" >10.1016/j.talanta.2017.09.003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Prediction of 2-EHN content in diesel/biodiesel blends using FTIR and chemometrics

  • Original language description

    Quantification models based on the processing of FTIR spectra by partial least squares regression (PLS) were created in order to develop a method for the determination of 2-ethyl hexyl nitrate (2-EHN) in diesel fuels. The set of standards was prepared using 2-EHN, biodiesel (FAME) and various mineral diesel fuels (2-EHN free). The standards were prepared in the concentration range of 2-EHN of 0–2436 mg kg−1. The set of the standards was divided into the calibration, validation and test sets. While the calibration set was used to build the model, validation set was used in order to optimize the model parameters. The test set of the standards was used to assess the predictive ability and repeatability of the model. Several hundreds of various models were developed and compared in order to find a suitable combination of the preprocessing methods and number of latent variables. The most promising model was developed using mean centered spectra in the form of their first derivative and smoothed using Gap-Segment derivative. The model showed quite good predictive ability and repeatability.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20704 - Energy and fuels

Result continuities

  • Project

    <a href="/en/project/LO1613" target="_blank" >LO1613: Future materials</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Talanta

  • ISSN

    0039-9140

  • e-ISSN

  • Volume of the periodical

    178

  • Issue of the periodical within the volume

    1 February

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    5

  • Pages from-to

    987-991

  • UT code for WoS article

    000370530600027

  • EID of the result in the Scopus database

    2-s2.0-85028952210