Hassen GHALILA, auteur/autrice sur Pôle Léonard de Vinci

Hassen Ghalila

Professor of Physics at ESILV Graduate School of Engineering (La Défense- France) since 2023 and before that at the Faculty of Sciences of the University of Tunis El Manar since 2009 and before that Professor at the Ecole d'Artchitecture et d'Urbanisme de Tunis (ENAUT) from 1997 to 2009. B.S. and M.S. studies took place at the Faculty of Sciences of Orsay of the University of Paris-Saclay and concluded with a Ph.D. in January 1994 in Physics of Gases and Plasmas section carried out at Polytechnique Paris-Saclay. The research began on the generation of microwaves using electronic tubes. Since 1998, most research has focused on plasma analyses and their spectroscopy. More recently, most studies have focused on biophysics and space weather. Currently vice-president of the Société Tunisienne d'Optique (STO) and OSA senior member.

hassen.ghalila@devinci.fr

Publications

Articles de journaux

William Mbogning Feudjio; Ikram Khemiri; Aymar Rodrigue Fogang Mba; Sagesse Bel-Christ Kogniwali-Gredibert; Gabrielle Muke Ngome; Lionel José Wankam; Gilbert Yvon Mbesse Kongbonga; Kenfack Assongo; Hassen Ghalila; Mama Nsangou

Fluorescence Spectroscopy Coupled with Artificial Neural Networks to Detect Refined Palm Oil Adulteration in Extra Virgin Olive Oil: A Case Study on Commercialized Oils in Cameroon Article de journal

Dans: Food Analytical Methods, vol. 19, p. 326, 2026.

Résumé | Liens | BibTeX

@article{mbogning_feudjio_4589,

title = {Fluorescence Spectroscopy Coupled with Artificial Neural Networks to Detect Refined Palm Oil Adulteration in Extra Virgin Olive Oil: A Case Study on Commercialized Oils in Cameroon},

author = {William Mbogning Feudjio and Ikram Khemiri and Aymar Rodrigue Fogang Mba and Sagesse Bel-Christ Kogniwali-Gredibert and Gabrielle Muke Ngome and Lionel José Wankam and Gilbert Yvon Mbesse Kongbonga and Kenfack Assongo and Hassen Ghalila and Mama Nsangou},

url = {https://doi.org/10.1007/s12161-026-03250-1},

year  = {2026},

date = {2026-09-01},

journal = {Food Analytical Methods},

volume = {19},

pages = {326},

abstract = {The adulteration of extra virgin olive oil remains a major problem for the food industry. This practice has both health and economic consequences. In countries which import extra virgin olive oil, the problem is even more serious. The objective of this study was to use a laboratory assembled fluorometer to detect the presence of refined palm oil in extra virgin olive oil commercialized in Cameroon. The fluorescence spectra obtained with an excitation wavelength of 380 nm reveal two principal emission peaks: one at 497.18 nm, attributed to oxidation products in refined palm oil, and another at 673.75 nm, attributed to chlorophylls in extra virgin olive oil. The fluorescence intensities of the adulterated samples increased with the concentration of refined palm oil in extra virgin olive oil. Principal component analysis, employing two principal components that accounted for 95% of the total variance, enabled clear visualization of the clusters of adulterated samples. The risk of misclassification between classes, as indicated by principal component analysis, was mitigated by a self-organizing maps neural network. Finally, a multilayer perceptron neural network demonstrated high efficacy in predicting with a determination coefficient of 0.998, the concentration of refined palm oil in extra virgin olive oil. To the best of our knowledge, this study represents the first application of fluorescence spectroscopy coupled with artificial neural networks to detect the adulteration of extra virgin olive oil with refined palm oil. The results obtained prove the significance of fluorescence and neural network tools for the reliable characterization of vegetable oils, opening promising perspectives for their application in the food industry.},

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pubstate = {online},

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Fermer

William Mbogning Feudjio; Rihem Nouir; Sagesse Bel-Christ Kogniwali-Gredibert; Gilbert Yvon Mbesse Kongbonga; Hassen Ghalila; Mama Nsangou

Practical implementation of the wavelength recalibration of a UV-visible spectrometer through the user manual: a simple approach to select the reference wavelengths Article de journal

Dans: Applied Optics, vol. 65, no. 24, p. 8276-8279, 2026.

Résumé | Liens | BibTeX

William Mbogning Feudjio; Ikram Khemiri; Hassen Ghalila; Mama Nsangou

Storage monitoring of Petit grain and Black pepper essential oils: An exploratory analysis by three-dimensional fluorescence and chemometrics Article de journal

Dans: Microchemical Journal, vol. 224, p. 117907, 2026.

Résumé | Liens | BibTeX

Imen Cherni; Sarra Ben Brik; Wanian M Alwanian; Rihem Nouir; Mehdi Somai; Fatma Boussema; Hassen Ghalila; Sami Hamzaoui; Zohra Aydi; Fatma Daoud

Hair Fluorescence Spectroscopy as a Non-Invasive Biomarker for Diagnosis and Remission Monitoring in Systemic Lupus Erythematosus Article de journal

Dans: Applied Spectroscopy, vol. 80, no. 4, p. 391-398, 2026.

Résumé | Liens | BibTeX

Sami Hamzaoui; Imen Cherni; Sabrine Kouki; Hassen Ghalila; Imen Rachdi; Fatma Boussema; Fatma Daoued; Mehdi Somai

Nail fluorescence analysis for osteoporosis diagnosis: Correlation between nail collagen abundance and T-score Article de journal

Dans: Instrumentation Science & Technology, vol. 54, no. 2, p. 206-220, 2026.

Résumé | Liens | BibTeX

@article{hamzaoui_4043,

title = {Nail fluorescence analysis for osteoporosis diagnosis: Correlation between nail collagen abundance and T-score},

author = {Sami Hamzaoui and Imen Cherni and Sabrine Kouki and Hassen Ghalila and Imen Rachdi and Fatma Boussema and Fatma Daoued and Mehdi Somai},

url = {https://doi.org/10.1080/10739149.2025.2515441},

year  = {2026},

date = {2026-02-01},

journal = {Instrumentation Science & Technology},

volume = {54},

number = {2},

pages = {206-220},

abstract = {This study aimed to evaluate the efficacy of Front-Face

Fluorescence Spectroscopy (FFFS), in combination with chemometric

techniques, as a preliminary, rapid, and cost-effective

approach for the diagnosis of osteoporosis (OP). Specifically, the

research investigated the capability of this method to differentiate

between osteoporotic and healthy individuals by analyzing

nail fluorescence spectra and examining correlations between

the fluorescence intensities of nail proteins and participants'

bone mineral densities (BMD). The study population was divided

into three groups: 30 women diagnosed with OP, 30 with osteopenia,

and 30 healthy controls. Classification was based

on T-score values obtained through Dual-Energy X-ray

Absorptiometry (DXA). The results demonstrated a progressive

decline in nail fluorescence emission intensity from healthy individuals

to those with osteoporosis. Importantly, healthy and

osteoporotic subjects could be clearly distinguished based on

the relative peak intensities of specific proteins within the fluorescence

spectra of their nails. However, a partial overlap in fluorescence

peak intensities was observed between the osteopenic

and osteoporotic groups. Spearman's correlation analysis

revealed a strong positive association between collagen fluorescence

intensities in nails and T-score values among participants

with osteopenia and OP. These findings suggest that nail

collagen fluorescence has potential as a practical, noninvasive

biomarker for the early detection and monitoring of BMD

deterioration},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Fermer

Alain Bourdier; Hassen Ghalila; Olivier Delage

Reduction of multiple filamentation due to atmospheric turbulence during the propagation of a laser pulse Article de journal

Dans: Results In Physics, vol. 76, p. 108371, 2025.

Résumé | Liens | BibTeX

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Hassen Ghalila

Hassen Ghalila

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