Franz Martin

Full Professor

University Pablo de Olavide
Country flagSpain

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Franz Martin is a Full Professor at the University Pablo Olavide in Spain. His research focuses on metabolic diseases, specifically non-alcoholic fatty liver disease, cannabis characterization, and the implications of gut permeability on chronic fatigue syndromes. He has contributed to various articles exploring metabolic reprogramming, dietary interventions, and the biochemical properties of cannabis. His work emphasizes the potential for nutritional strategies in managing liver-related health conditions.

Articles (10)

Year:

2024

Year:

2024

Year:

2023

Gas chromatography (GC) techniques for analyzing and determining the cannabinoid profile in cannabis (Cannabis sativa L.) are widely used in standard laboratories; however, these methods may mislabel the profile when used under rapid conditions. Our study aimed to highlight this problem and optimize GC column conditions and mass spectrometry (MS) parameters to accurately identify cannabinoids in both standards and forensic samples. The method was validated for linearity, selectivity, and precision. It was observed that when tetrahydrocannabinol (Δ9-THC) and cannabidiolic acid (CBD-A) were examined using rapid GC conditions, the resulting derivatives generated identical retention times. Wider chromatographic conditions were applied. The linear range for each compound ranged from 0.02 μg/mL to 37.50 μg/mL. The R2 values ranged from 0.996 to 0.999. The LOQ values ranged from 0.33 μg/mL to 5.83 μg/mL, and the LOD values ranged from 0.11 μg/mL to 1.92 μg/mL. The precision values ranged from 0.20% to 8.10% RSD. In addition, forensic samples were analyzed using liquid chromatography (HPLC-DAD) in an interlaboratory comparison test, with higher CBD and THC content than GC–MS determination (p < 0.05) in samples. Overall, this study highlights the importance of optimizing GC techniques to avoid mislabeling cannabinoids in cannabis samples.

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Collaborators (8)

María de los Ángeles Ortega de la Torre

Profesor Titular de Universidad

Universidad Pablo de Olavide

SPAIN
View details

Enrique Martínez Force

Research Professor

Agencia Estatal Consejo Superior de Investigaciones Científicas

SPAIN
View details

Blanca Escudero-López

Profesor Contratado Doctor

Universidad Pablo de Olavide

SPAIN
View details

María-Soledad Fernández-Pachón

Profesora Titular de Universidad

Universidad Pablo de Olavide

SPAIN
View details

Genoveva Berna

Lecturer

University Pablo de Olavide

SPAIN
View details

Antonio Carrillo-Vico

Universidad de Sevilla

SPAIN
View details

Isabel Cerrillo García

Profesora Titular

Universidad Pablo de Olavide

SPAIN
View details

Domingo Saura

Universidad Miguel Hernández de Elche

SPAIN
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.