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Inamassu CH, Raspini E Silva L, Marchioni C. Recent advances in the chromatographic analysis of endocannabinoids and phytocannabinoids in biological samples. J Chromatogr A 2024; 1732:465225. [PMID: 39128236 DOI: 10.1016/j.chroma.2024.465225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 07/30/2024] [Accepted: 07/31/2024] [Indexed: 08/13/2024]
Abstract
Endocannabinoid system, including endocannabinoid neurotransmitters (eCBs), has gained much attention over the last years due to its involvement with the pathophysiology of diseases and the potential use of Cannabis sativa (marijuana). The identification of eCBs and phytocannabinoids in biological samples for forensic, clinical, or therapeutic drug monitoring purposes constitutes a still significant challenge. In this scoping review, the recent advantages, and limitations of the eCBs and phytocannabinoids quantification in biological samples are described. Published studies from 2018-2023 were searched in 8 databases, and after screening and exclusions, the selected 38 articles had their data tabulated, summarized, and analyzed. The main characteristics of the eCBs and phytocannabinoids analyzed and the potential use of each biological sample were described, indicating gaps in the literature that still need to be explored. Well-established and innovative sample preparation protocols, and chromatographic separations, such as GC, HPLC, and UHPLC, are reviewed highlighting their respective advantages, drawbacks, and challenges. Lastly, future approaches, challenges, and tendencies in the quantification analysis of cannabinoids are discussed.
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Affiliation(s)
- Carolina Henkes Inamassu
- Program on Pharmacology, Federal University of Santa Catarina, Campus Universitário, s/n, Sala 208, Bloco E, Prédio Administrativo - Córrego Grande, Florianópolis, SC 88040-900, Brazil
| | - Luisa Raspini E Silva
- Program on Pharmacology, Federal University of Santa Catarina, Campus Universitário, s/n, Sala 208, Bloco E, Prédio Administrativo - Córrego Grande, Florianópolis, SC 88040-900, Brazil
| | - Camila Marchioni
- Department of Pathology, Federal University of Santa Catarina, Rua Engenheiro Agronômico Andrei Cristian Ferreira, s/n - Trindade, Florianópolis, SC 88040-900, Brazil.
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2
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Foli LP, Hespanhol MC, Cruz KAML, Pasquini C. Miniaturized Near-Infrared spectrophotometers in forensic analytical science - a critical review. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 315:124297. [PMID: 38640625 DOI: 10.1016/j.saa.2024.124297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/13/2024] [Accepted: 04/14/2024] [Indexed: 04/21/2024]
Abstract
The advent of miniaturized NIR instruments, also known as compact, portable, or handheld, is revolutionizing how technology can be employed in forensics. In-field analysis becomes feasible and affordable with these new instruments, and a series of methods has been developed to provide the police and official agents with objective, easy-to-use, tailored, and accurate qualitative and quantitative forensic results. This work discusses the main aspects and presents a comprehensive and critical review of compact NIR spectrophotometers associated with analytical protocols to produce information on forensic matters.
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Affiliation(s)
- Letícia P Foli
- Grupo de Análise e Educação para a Sustentabilidade, Departamento de Química, Centro de Ciências Exatas e Tecnológicas, Universidade Federal de Viçosa, Av. P. H. Rolfs, s/n, Viçosa, MG, 36570-900, Brazil
| | - Maria C Hespanhol
- Grupo de Análise e Educação para a Sustentabilidade, Departamento de Química, Centro de Ciências Exatas e Tecnológicas, Universidade Federal de Viçosa, Av. P. H. Rolfs, s/n, Viçosa, MG, 36570-900, Brazil
| | - Kaíque A M L Cruz
- Grupo de Análise e Educação para a Sustentabilidade, Departamento de Química, Centro de Ciências Exatas e Tecnológicas, Universidade Federal de Viçosa, Av. P. H. Rolfs, s/n, Viçosa, MG, 36570-900, Brazil
| | - Celio Pasquini
- Instituto de Química, Universidade Estadual de Campinas (UNICAMP), Rua Monteiro Lobato, 290, Campinas, SP 13083-862, Brazil.
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Yang S, Sun M. Recent Advanced Methods for Extracting and Analyzing Cannabinoids from Cannabis-Infused Edibles and Detecting Hemp-Derived Contaminants in Food (2013-2023): A Comprehensive Review. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024. [PMID: 38857901 DOI: 10.1021/acs.jafc.4c01286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Abstract
Cannabis-infused edibles are food products infused with a cannabis extract. These edibles include baked goods, candies, and beverages, offering an alternative way to consume cannabis instead of smoking or vaporizing it. Ensuring the accurate detection of cannabis-infused edibles and identification of any contaminants is crucial for public health and safety. This is particularly important for compliance with legal regulations as these substances can have significant psychoactive effects, especially on unsuspecting consumers such as children or individuals with certain medical conditions. Using efficient extraction methods can greatly improve detection accuracy, ensuring that the concentration of cannabinoids in edibles is measured correctly and adheres to dosage guidelines and legal limits. This review comprehensively examines the preparation and extraction techniques for cannabinoid edibles. It covers methods such as solid-phase extraction, enhanced matrix removal-lipid, QuEChERS, dissolution and dispersion techniques, liquid-phase extraction, and other emerging methodologies along with analytical techniques for cannabinoid analysis. The main analytical techniques employed for the determination of cannabinoids include liquid chromatography (LC), gas chromatography (GC), direct analysis in real time (DART), and mass spectrometry (MS). The application of these extraction and analytical techniques is further demonstrated through their use in analyzing specific edible samples, including oils, candies, beverages, solid coffee and tea, snacks, pet food, and contaminated products.
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Affiliation(s)
- Siyun Yang
- Department of Biology, Kean University, Union, New Jersey 07083, United States
| | - Mingjing Sun
- Department of Chemistry and Physics, Kean University, Union, New Jersey 07083, United States
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Tzimas PS, Petrakis EA, Halabalaki M, Skaltsounis LA. Extraction solvent selection for Cannabis sativa L. by efficient exploration of cannabinoid selectivity and phytochemical diversity. PHYTOCHEMICAL ANALYSIS : PCA 2024; 35:163-183. [PMID: 37709551 DOI: 10.1002/pca.3282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 08/28/2023] [Indexed: 09/16/2023]
Abstract
INTRODUCTION Cannabis sativa L. is attracting worldwide attention due to various health-promoting effects. Extraction solvent type is critical for the recovery of bioactive compounds from the plant, especially cannabinoids. However, the choice of solvent is varied and not adequately warranted elsewhere, causing confusion in involved fields. OBJECTIVE The present work aimed to investigate the effect of extraction solvent on C. sativa (hemp) with regard to cannabinoid recovery and phytochemical profile of the extracts, considering most of the related solvents. METHODOLOGY The majority of solvents reported for C. sativa (n = 14) were compared using a representative hemp pool. Quantitative results for major and minor cannabinoids were rapidly and reliably obtained using ultrahigh-performance liquid chromatography coupled with photodiode array detection (UPLC-PDA). In parallel, high-performance thin-layer chromatographic (HPTLC) fingerprinting was employed, involving less toxic mobile phase than in relevant reports. Various derivatisation schemes were applied for more comprehensive comparison of extracts. RESULTS Differential selectivity towards cannabinoids was observed among solvents. MeOH was found particularly efficient for most cannabinoids, in addition to solvent systems such as n-Hex/EtOH 70:30 and ACN/EtOH 80:20, while EtOH was generally inferior. For tetrahydrocannabinol (THC)-type compounds, EtOAc and n-Hex/EtOAc 60:40 outperformed n-Hex, despite its use in the official EU method. Solvents that tend to extract more lipids or more polar compounds were revealed based on HPTLC results. CONCLUSION Combining the observations from UPLC quantitation and HPTLC fingerprinting, this work allowed comprehensive evaluation of extraction solvents, in view of robust quality assessment and maximised utilisation of C. sativa.
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Affiliation(s)
- Petros S Tzimas
- Department of Pharmacognosy and Natural Products Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | - Eleftherios A Petrakis
- Department of Pharmacognosy and Natural Products Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria Halabalaki
- Department of Pharmacognosy and Natural Products Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | - Leandros A Skaltsounis
- Department of Pharmacognosy and Natural Products Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
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Woźniczka K, Konieczyński P, Plenis A, Bączek T, Roszkowska A. SPME as a green sample-preparation technique for the monitoring of phytocannabinoids and endocannabinoids in complex matrices. J Pharm Anal 2023; 13:1117-1134. [PMID: 38024858 PMCID: PMC10657972 DOI: 10.1016/j.jpha.2023.06.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 06/10/2023] [Accepted: 06/27/2023] [Indexed: 12/01/2023] Open
Abstract
The endocannabinoid system (ECS), particularly its signaling pathways and ligands, has garnered considerable interest in recent years. Along with clinical work investigating the ECS' functions, including its role in the development of neurological and inflammatory conditions, much research has focused on developing analytical protocols enabling the precise monitoring of the levels and metabolism of the most potent ECS ligands: exogenous phytocannabinoids (PCs) and endogenous cannabinoids (endocannabinoids, ECs). Solid-phase microextraction (SPME) is an advanced, non-exhaustive sample-preparation technique that facilitates the precise and efficient isolation of trace amounts of analytes, thus making it appealing for the analysis of PCs and ECs in complex matrices of plant and animal/human origin. In this paper, we review recent forensic medicine and toxicological studies wherein SPME has been applied to monitor levels of PCs and ECs in complex matrices, determine their effects on organism physiology, and assess their role in the development of several diseases.
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Affiliation(s)
- Katarzyna Woźniczka
- Department of Pharmaceutical Chemistry, Medical University of Gdańsk, Gdańsk, Poland
| | - Paweł Konieczyński
- Department of Analytical Chemistry, Medical University of Gdańsk, Gdańsk, Poland
| | - Alina Plenis
- Department of Analytical Chemistry, Medical University of Gdańsk, Gdańsk, Poland
| | - Tomasz Bączek
- Department of Pharmaceutical Chemistry, Medical University of Gdańsk, Gdańsk, Poland
| | - Anna Roszkowska
- Department of Pharmaceutical Chemistry, Medical University of Gdańsk, Gdańsk, Poland
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Gul W, Ibrahim EA, Gul SW, Shahzadi I, Radwan MM, Chandra S, Lata H, ElSohly MA. Development and Validation of a GC-FID Method for the Quantitation of 20 Different Acidic and Neutral Cannabinoids. PLANTA MEDICA 2023; 89:683-696. [PMID: 36257598 DOI: 10.1055/a-1962-8165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
For decades, Cannabis sativa had been illegal to sell or consume around the world, including in the United States. However, in light of the recent 2018 Farm Bill and the legalization of hemp across the US, various cannabis preparations have flooded the market, making it essential to be able to quantitate the levels of the different acidic and neutral cannabinoids in C. sativa and to have a complete cannabinoid profile of the different chemovars of the cannabis plant. A GC-FID method was developed and validated for the analysis of 20 acidic and neutral cannabinoids as trimethylsilyl (TMS) derivatives. The analyzed cannabinoids include cannabidivarinic acid (CBDVA), cannabidiolic acid (CBDA), cannabinolic acid (CBNA), cannabielsoic acid (CBEA), cannabicyclolic acid (CBLA), cannabichromenic acid (CBCA), trans-Δ9-tetrahydrocannabivarinic acid (Δ9-THCVA), trans-Δ9-tetrahydrocannabinolic acid A (Δ9-THCAA), cannabigerolic acid (CBGA), cannabidiol (CBD), cannabicyclol (CBL), cannabidivarin (CBDV), trans-Δ9-tetrahydrocannabivarin (THCV), cannabichromene (CBC), trans-Δ8-tetrahydrocannabinol (Δ8-THC), trans-Δ9-tetrahydrocannabinol (Δ9-THC), cannabigerol (CBG), cannabinol (CBN), cannabicitran (CBT), and cannabielsoin (CBE). The method limit of detection (LOD) was as low as 0.1 µg/mL, while the limit of quantitation ranged from 0.25 µg/mL to 0.5 µg/mL. The precision (%RSD) was < 10%, while trueness ranged from 90 - 107%. The developed method is simple, accurate, and sensitive for the quantitation of all 20 acidic and neutral cannabinoids. Finally, the proposed method was successfully applied to the quantitation of the cannabinoids in different cannabis chemovars grown at the University of Mississippi.
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Affiliation(s)
- Waseem Gul
- ElSohly Laboratories, Inc., 5 Industrial Park Drive, Oxford, MS, USA
| | - Elsayed A Ibrahim
- National Center for Natural Products Research, School of Pharmacy, The University of Mississippi, University, MS, USA
- Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt
| | - Sharjeel W Gul
- ElSohly Laboratories, Inc., 5 Industrial Park Drive, Oxford, MS, USA
- Sally McDonnell Barksdale Honors College, University of Mississippi, USA
- School of Pharmacy, University of Mississippi, USA
- Frontier Medical College, Abbottabad, KPK, Pakistan
| | - Iram Shahzadi
- ElSohly Laboratories, Inc., 5 Industrial Park Drive, Oxford, MS, USA
| | - Mohamed M Radwan
- National Center for Natural Products Research, School of Pharmacy, The University of Mississippi, University, MS, USA
| | - Suman Chandra
- National Center for Natural Products Research, School of Pharmacy, The University of Mississippi, University, MS, USA
| | - Hemant Lata
- National Center for Natural Products Research, School of Pharmacy, The University of Mississippi, University, MS, USA
| | - Mahmoud A ElSohly
- ElSohly Laboratories, Inc., 5 Industrial Park Drive, Oxford, MS, USA
- National Center for Natural Products Research, School of Pharmacy, The University of Mississippi, University, MS, USA
- School of Pharmacy, University of Mississippi, USA
- Department of Pharmaceutics and Drug Delivery, School of Pharmacy, The University of Mississippi, University, USA
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7
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Song L, Meyer G, Adejumo E, Jovanovich E, LeBlanc L, Provis J. Potency testing of up to sixteen cannabinoids in hemp-infused edibles using liquid chromatography diode array detector with optional confirmation of identity by electrospray ionization time-of-flight mass spectrometry. Food Chem 2023; 417:135819. [PMID: 36917906 DOI: 10.1016/j.foodchem.2023.135819] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/28/2023] [Accepted: 02/27/2023] [Indexed: 03/07/2023]
Abstract
A LC-DAD method for potency testing of up to sixteen cannabinoids has been developed, validated, and applied for analysis of twenty hemp-infused edibles encompassing a broad range of complex matrices. The method was validated according to ISO 17025 guidelines and met requirements. Samples or their uniform water-dispersions were extracted by methanol under homogenization through pulverization and/or ultrasonication. By spiking abnormal cannabidiol, a cannabinoid not naturally present in hemp, into each sample, extraction recovery was tracked in real time, obtaining 90 to 108% in triplicates with relative standard deviations of 0.5 to 6.5%. The linear calibration range was between 0.008 and 10% (w/w) for each cannabinoid using a 250 µg/mL solution of hemp-infused edibles, except for drinks (sparkling water and tea), where it was between 0.0008 and 1% (w/w) using a 2.5 mg/mL solution. ESI/TOFMS confirmed a good method specificity, i.e., without any false positive identification of individual cannabinoid.
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Affiliation(s)
- Liguo Song
- Department of Chemistry, Western Illinois University, Macomb, IL 61455, USA.
| | - Grant Meyer
- Department of Chemistry, Western Illinois University, Macomb, IL 61455, USA.
| | - Emmanuel Adejumo
- Department of Chemistry, Western Illinois University, Macomb, IL 61455, USA.
| | - Emily Jovanovich
- Department of Chemistry, Western Illinois University, Macomb, IL 61455, USA.
| | - Lindsey LeBlanc
- Department of Chemistry, Western Illinois University, Macomb, IL 61455, USA.
| | - Jake Provis
- Department of Chemistry, Western Illinois University, Macomb, IL 61455, USA.
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8
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Jornet-Martínez N, Biosca-Micó J, Campíns-Falcó P, Herráez-Hernández R. A Colorimetric Method for the Rapid Estimation of the Total Cannabinoid Content in Cannabis Samples. Molecules 2023; 28:molecules28031303. [PMID: 36770970 PMCID: PMC9921926 DOI: 10.3390/molecules28031303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/23/2023] [Accepted: 01/27/2023] [Indexed: 02/03/2023] Open
Abstract
A colorimetric method for the estimation of the total content of cannabinoids in cannabis samples is proposed. The assay is based on the reaction of these compounds with the reagent Fast Blue B (FBB), which has been immobilized into polydimethylsiloxane (PDMS). The reaction and detection conditions have been established according to the results obtained for the individual cannabinoids Δ9-tetrahydrocannabidiol (THC), cannabidiol (CBD), and cannabinol (CBN), as well as for ethanolic extracts obtained from cannabis samples after ultrasonication. In contact with the extract and under basic conditions, the reagent diffuses from the PDMS device, producing a red-brown solution. The absorbances measured at 500 nm after only 1 min of exposure to the FBB/PDMS composites led to responses proportional to the amounts of the cannabinoids in the reaction media. Those absorbances have been then transformed in total cannabinoid content using CBD as a reference compound. The potential utility of the proposed conditions has been tested by analyzing different cannabis samples. The selectivity towards other plants and drugs has been also evaluated. The present method is proposed as a simple and rapid alternative to chromatographic methods for the estimation of the total content of cannabinoids.
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Weber A, Hoplight B, Ogilvie R, Muro C, Khandasammy SR, Pérez-Almodóvar L, Sears S, Lednev IK. Innovative Vibrational Spectroscopy Research for Forensic Application. Anal Chem 2023; 95:167-205. [PMID: 36625116 DOI: 10.1021/acs.analchem.2c05094] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Alexis Weber
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States.,SupreMEtric LLC, 7 University Pl. B210, Rensselaer, New York 12144, United States
| | - Bailey Hoplight
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Rhilynn Ogilvie
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Claire Muro
- New York State Police Forensic Investigation Center, Building #30, Campus Access Rd., Albany, New York 12203, United States
| | - Shelby R Khandasammy
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Luis Pérez-Almodóvar
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Samuel Sears
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Igor K Lednev
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States.,SupreMEtric LLC, 7 University Pl. B210, Rensselaer, New York 12144, United States
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Ramos-Guerrero L, Montalvo G, Cosmi M, García-Ruiz C, Ortega-Ojeda FE. Classification of Various Marijuana Varieties by Raman Microscopy and Chemometrics. TOXICS 2022; 10:115. [PMID: 35324740 PMCID: PMC8948958 DOI: 10.3390/toxics10030115] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 02/17/2022] [Accepted: 02/25/2022] [Indexed: 12/17/2022]
Abstract
The Raman analysis of marijuana is challenging because of the sample's easy photo-degradation caused by the laser intensity. In this study, optimization of collection parameters and laser focusing on marijuana trichome heads allowed collecting Raman spectra without damaging the samples. The Raman spectra of Δ9-tetrahydrocannabinol (THC), cannabidiol (CBD), and cannabinol (CBN) standard cannabinoids were compared with Raman spectra of five different types of marijuana: four Sativa varieties (Amnesia Haze, Amnesia Hy-Pro, Original Amnesia, and Y Griega) and one Indica variety (Black Domina). The results verified the presence of several common spectral bands that are useful for marijuana characterization. Results were corroborated by the quantum chemical simulated Raman spectra of their acid-form (tetrahydrocannabinol acid (THCA), cannabidiol acid (CBDA)) and decarboxylated cannabinoids (THC, CBD, and CBN). A chemometrics-assisted method based on Raman microscopy and OPLS-DA offered good classification among the different marijuana varieties allowing identification of the most significant spectral bands.
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Affiliation(s)
- Luis Ramos-Guerrero
- Centro de Investigación de Alimentos, CIAL—Centro de Investigación de Alimentos, Universidad UTE, Quito EC170527, Ecuador;
| | - Gemma Montalvo
- Universidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Ctra. Madrid–Barcelona km 33,600, 28871 Alcalá de Henares, Madrid, Spain;
- Universidad de Alcalá, Instituto Universitario de Investigación en Ciencias Policiales (IUICP), Calle Libreros 27, 28801 Alcalá de Henares, Madrid, Spain
| | - Marzia Cosmi
- Department of Engineering and Architecture, University of Trieste Via Alfonso Valerio 6a, 34127 Trieste, Italy;
| | - Carmen García-Ruiz
- Universidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Ctra. Madrid–Barcelona km 33,600, 28871 Alcalá de Henares, Madrid, Spain;
- Universidad de Alcalá, Instituto Universitario de Investigación en Ciencias Policiales (IUICP), Calle Libreros 27, 28801 Alcalá de Henares, Madrid, Spain
| | - Fernando E. Ortega-Ojeda
- Universidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Ctra. Madrid–Barcelona km 33,600, 28871 Alcalá de Henares, Madrid, Spain;
- Universidad de Alcalá, Instituto Universitario de Investigación en Ciencias Policiales (IUICP), Calle Libreros 27, 28801 Alcalá de Henares, Madrid, Spain
- Universidad de Alcalá, Departamento de Ciencias de la Computación, Ctra. Madrid–Barcelona km 33,600, 28871 Alcalá de Henares, Madrid, Spain
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