Engine emissions with air pollutants and greenhouse gases and their control technologies

A Fayyazbakhsh, ML Bell, X Zhu, X Mei… - Journal of Cleaner …, 2022 - Elsevier
Diesel and gasoline are the most used fossil fuels due to their high energy release and low
cost for engines. However, the emission of air pollutants and greenhouse gases has caused …

Development of gas chromatographic pattern recognition and classification tools for compliance and forensic analyses of fuels: a review

PE Sudol, KM Pierce, SE Prebihalo, KJ Skogerboe… - Analytica Chimica …, 2020 - Elsevier
Gas chromatography (GC) is undoubtedly the analytical technique of choice for
compositional analysis of petroleum-based fuels. Over the past twenty years, as …

Partial least squares regression residual extreme learning machine (PLSRR-ELM) calibration algorithm applied in fast determination of gasoline octane number with …

H Wang, X Chu, P Chen, J Li, D Liu, Y Xu - Fuel, 2022 - Elsevier
Based on near-infrared (NIR) spectroscopy, a new quantitative calibration algorithm, called
“Partial Least Squares Regression Residual Extreme Learning Machine (PLSRR-ELM)” …

1H NMR combined with chemometrics for the rapid detection of adulteration in camellia oils

T Shi, MT Zhu, Y Chen, XL Yan, Q Chen, XL Wu, J Lin… - Food chemistry, 2018 - Elsevier
Proton nuclear magnetic resonance (1 H NMR) and chemometrics were employed to detect
the adulteration of camellia oil (CAO) with 3 different cheap vegetable oils. With the intensity …

Data fusion applied in near and mid infrared spectroscopy for crude oil classification

MK Moro, EVR de Castro, W Romão, PR Filgueiras - Fuel, 2023 - Elsevier
We report an application of a low-level data fusion for chemometric discrimination of crude
oil samples by usual classifications, based on the combination of data obtained by means of …

Novel automatic model construction method for the rapid characterization of petroleum properties from near-infrared spectroscopy

H Yu, X Wang, F Shen, J Long, W Du - Fuel, 2022 - Elsevier
Petroleum fuels play an important role in economic society, and near-infrared analysis has
been widely used in the characterization of petroleum fuels due to its effectiveness and …

Non-destructive prediction of protein content in wheat using NIRS

D Ye, L Sun, B Zou, Q Zhang, W Tan, W Che - Spectrochimica Acta Part A …, 2018 - Elsevier
A steady and accurate model used for quality detection depends on precise data and
appropriate analytical methods. In this study, the authors applied partial least square …

DATUVINK pilot study: A potential non-invasive methodology for dating ballpoint pen inks using multivariate chemometrics based on their UV–vis-NIR reflectance …

L Ortiz-Herrero, L Bartolomé, I Durán, I Velasco… - Microchemical …, 2018 - Elsevier
The main methods for dating ballpoint pen inks in questioned documents used up to day are
based mainly on the analysis of ink volatile components. These methods have some …

Gasoline discrimination using infrared spectroscopy and virtual samples based on measurement uncertainty

RF Sales, LC Barbosa-Patrício, NC da Silva… - … Acta Part A: Molecular …, 2023 - Elsevier
In a previous work, we proposed a methodology for pair-wise discrimination of gasoline
samples by creating virtual samples based on physicochemical assays or distillation curves …

[HTML][HTML] Data driven models exploring the combination of NIR and 1H NMR spectroscopies in the determination of gasoline properties

AL Leal, AMS Silva, JC Ribeiro, FG Martins - Microchemical Journal, 2022 - Elsevier
The quality control of a commercial gasoline includes the assessment of several physical-
chemical properties. The main objective of the present work is to investigate the …