Soil spectroscopy with the use of chemometrics, machine learning and pre-processing techniques in soil diagnosis: Recent advances–A review

I Barra, SM Haefele, R Sakrabani, F Kebede - TrAC Trends in Analytical …, 2021 - Elsevier
Over the past two decades soil spectroscopy, particularly, in the infrared range, is becoming
a powerful technique to simplify analysis relative to the traditional chemical methods. It is …

Predicting cetane number in diesel fuels using FTIR spectroscopy and PLS regression

I Barra, M Kharbach, EM Qannari, M Hanafi… - Vibrational …, 2020 - Elsevier
Cetane number (CN) is an important property which indicates the ignition quality of fuels and
especially diesel oil. The usual method for CN determination is a most involving and risky …

Soil Spectroscopy Evolution: A Review of Homemade Sensors, Benchtop Systems, and Mobile Instruments Coupled with Machine Learning Algorithms in Soil …

R Mokere, M Ghassan, I Barra - Critical Reviews in Analytical …, 2024 - Taylor & Francis
In precision agriculture, soil spectroscopy has become an invaluable tool for rapid, low-cost,
and nondestructive diagnostic approaches. Various instrument configurations are utilized to …

Rapid detection of fuel adulteration using microfabricated gas chromatography

M Chowdhury, A Gholizadeh, M Agah - Fuel, 2021 - Elsevier
Rapid and accurate quality control for fuel adulteration is a major economic and health
concern. Current technology lacks capability to provide speedy and accurate point of sale …

Optimizing setup of scan number in FTIR spectroscopy using the moment distance index and PLS regression: application to soil spectroscopy

I Barra, L Khiari, SM Haefele, R Sakrabani… - Scientific Reports, 2021 - nature.com
Vibrational spectroscopy such as Fourier-transform infrared (FTIR), has been used
successfully for soil diagnosis owing to its low cost, minimal sample preparation, non …

Soil Particle Size Thresholds in Soil Spectroscopy and Its Effect on the Multivariate Models for the Analysis of Soil Properties

I Barra, T El Moatassem, F Kebede - Sensors, 2023 - mdpi.com
This study focused on one of the few but critical sample preparations required in soil
spectroscopy (ie, grinding), as well as the effect of soil particle size on the FTIR spectral …

Diesel Adulteration Detection with a Machine Learning-Enhanced Laser Sensor Approach

B Mourched, T AlZoubi, S Vrtagic - Processes, 2024 - mdpi.com
This paper introduces a novel and cost-effective method for detecting adulterated diesel,
specifically targeting contamination with kerosene, by leveraging machine learning and the …

The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil …

I Barra, H Briak, F Kebede - Vibrational Spectroscopy, 2022 - Elsevier
Statistical preprocessing methods are widely used to improve the predictive performance of
chemometric models especially on MIR and NIR spectral database. The main role of …

Prediction of diesel fuel quality indicators using FT-MIR spectroscopy and chemometrics

I Barra, MA Mansouri, T El Moatassem… - Infrared Physics & …, 2022 - Elsevier
Diesel control by routine methods involves the use of heavy techniques that are generally
costly and hazardous. Moreover, these techniques require using several reagents that are …

Water content quantification by FTIR in carboxymethyl cellulose food additive

M Consumi, G Leone, G Tamasi… - Food Additives & …, 2021 - Taylor & Francis
Water content quantification of raw polysaccharide materials for food processing is generally
performed by gravimetric analysis or titrimetric methods, which are time-and energy …