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Bryan Moreno Chamba

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Miguel Hernandez University
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15th Ed. of UMH Start-up Creation Marathon (2nd stage)-Part 2

Open Date: 2026-06-01

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15th Ed. of UMH Start-up Creation Marathon (2nd stage)-Part 1

Open Date: 2026-06-01

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Green Analytical Characterization of Short-Chain Fatty Acids Produced by Beneficial Bacteria Following Exposure to Selected Polyphenolic Extracts from Food By-Products

Open Date: 2026-06-01

Close Date: 2026-08-01

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ENHANCE Internship Research Programme

Open Date: 2026-06-01

Close Date: 2026-08-01

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Extraordinary Doctoral Award

Open Date: 2026-01-01

Close Date: 2026-01-01

Articles (11)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

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

Collaborators (9)

Victoria Lizama Abad

Catedrática de Universidad

Universitat Politècnica de València

SPAIN
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María de los Ángeles Ortega de la Torre

Profesor Titular de Universidad

Universidad Pablo de Olavide

SPAIN
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Wendy Russell

Professor

-

UNITED KINGDOM
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Blanca Escudero-López

Profesora Titular de Universidad

Universidad Pablo de Olavide

SPAIN
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Nicholas Hayward

University of Aberdeen

UNITED KINGDOM
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Julio Salazar

Researcher (PIF)

Miguel Hernandez University

SPAIN
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Franz Martin

Full Professor

University Pablo de Olavide

SPAIN
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Genoveva Berna

Lecturer

University Pablo de Olavide

SPAIN
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Domingo Saura

Universidad Miguel Hernández de Elche

SPAIN
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