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Leemans M, Hoummady S, Boutin E, Giganti A, Maidodou L, Cuzuel V, Ajili S, Steyer D, Gilbert C, Fromantin I. Exploring canine's olfactive threshold in artificial urine for medical detection. PLoS One 2025; 20:e0321394. [PMID: 40315287 PMCID: PMC12047819 DOI: 10.1371/journal.pone.0321394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2024] [Accepted: 03/04/2025] [Indexed: 05/04/2025] Open
Abstract
Canine olfaction is increasingly studied as a tool for detecting cancer and other diseases. Previous pilot studies have demonstrated that dogs can effectively distinguish positive samples from negative samples in humans with breast cancer, achieving sensitivity rates as high as 100%. However, questions remain about dogs' ability to detect low concentrations of volatile organic compounds in complex medium. While dogs' detection thresholds for isoamyl acetate using a mineral oil substrate have been studied, there are no current studies on their detection limits using more complex substrates like urine, relevant in clinical settings. This pilot study aimed to evaluate the olfactory threshold of dogs using artificial urine with various concentrations of isoamyl acetate. Two dogs were trained to detect isoamyl acetate, initially using water as the substrate during the training phase, and subsequently using artificial urine during the testing phase, under single and double-blinded conditions. The dogs were trained to indicate the presence of isoamyl acetate solutions by sitting in front of the positive sample and ignoring controls. Training and testing occurred in a controlled environment, maintaining consistency with the same two handlers, a standardized methodology, and positive reinforcement with toy rewards. Based on double-blind performances, results showed a minimum detection threshold of 6.7 x 10-9 Molar (M) for Nougaro (Springer Spaniel) one dog and 2.1 x 10-7M for Prince (Labrador Retriever). The sample age did not affect performance. However, the position of the cone did, with higher failure rates for the first cone compared to the other three. These findings underscore the potential of trained dogs to detect volatile organic compounds at very low concentrations in complex substrates, supporting their use in clinical diagnostics.
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Affiliation(s)
- Michelle Leemans
- Clinical Epidemiology and Ageing Unit, Institut Mondor de Recherche Biomédicale, INSERM, Paris-Est University, Créteil, France, AP-HP, Hopital Henri-Mondor, Clinical Research Unit (URC Mondor), Créteil, France
| | - Sara Hoummady
- Institut Polytechnique UniLaSalle, IDEALISS ULR 7519, Université d’Artois, Mont Saint Aignan, France
| | - Emmanuelle Boutin
- Clinical Epidemiology and Ageing Unit, Institut Mondor de Recherche Biomédicale, INSERM, Paris-Est University, Créteil, France, AP-HP, Hopital Henri-Mondor, Clinical Research Unit (URC Mondor), Créteil, France
| | - Adeline Giganti
- Wound Care and Research Unit 26, Curie Institute, Rue d'Ulm, Paris, France,
| | - Laetitia Maidodou
- Twistaroma, Illkirch Graffenstaden, France
- DSA, IPHC UMR7178, Université de Strasbourg, Strasbourg, France; CITHEFOR, EA 3452, Université de Lorraine, Nancy, France
| | - Vincent Cuzuel
- Forensic Institute of the French Gendarmerie, Caserne Lange, 5 Boulevard de l'Hautil, Cedex, Cergy-Pontoise, France
| | - Sabrine Ajili
- Wound Care and Research Unit 26, Curie Institute, Rue d'Ulm, Paris, France,
| | | | - Caroline Gilbert
- Ecole Nationale Vétérinaire d’Alfort, 7 avenue du Général de Gaulle, Maisons-Alfort, France
- Laboratoire Mecadev, UMR 7179, CNRS/MNHN, 1 avenue du Petit Château, Brunoy, France
| | - Isabelle Fromantin
- Wound Care and Research Unit 26, Curie Institute, Rue d'Ulm, Paris, France,
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Klapec DJ, Czarnopys G, Pannuto J. Interpol review of the analysis and detection of explosives and explosives residues. Forensic Sci Int Synerg 2023; 6:100298. [PMID: 36685733 PMCID: PMC9845958 DOI: 10.1016/j.fsisyn.2022.100298] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Affiliation(s)
- Douglas J. Klapec
- Arson and Explosives Section I, United States Department of Justice, Bureau of Alcohol, Tobacco, Firearms and Explosives, Forensic Science Laboratory, 6000 Ammendale Road, Ammendale, MD, 20705, USA
| | - Greg Czarnopys
- Forensic Services, United States Department of Justice, Bureau of Alcohol, Tobacco, Firearms and Explosives, Forensic Science Laboratory, 6000 Ammendale Road, Ammendale, MD, 20705, USA
| | - Julie Pannuto
- United States Department of Justice, Bureau of Alcohol, Tobacco, Firearms and Explosives, Forensic Science Laboratory, 6000 Ammendale Road, Ammendale, MD, 20705, USA
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Gokool VA, Crespo-Cajigas J, Mallikarjun A, Collins A, Kane SA, Plymouth V, Nguyen E, Abella BS, Holness HK, Furton KG, Johnson ATC, Otto CM. The Use of Biological Sensors and Instrumental Analysis to Discriminate COVID-19 Odor Signatures. BIOSENSORS 2022; 12:1003. [PMID: 36421122 PMCID: PMC9688190 DOI: 10.3390/bios12111003] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 11/01/2022] [Accepted: 11/08/2022] [Indexed: 05/27/2023]
Abstract
The spread of SARS-CoV-2, which causes the disease COVID-19, is difficult to control as some positive individuals, capable of transmitting the disease, can be asymptomatic. Thus, it remains critical to generate noninvasive, inexpensive COVID-19 screening systems. Two such methods include detection canines and analytical instrumentation, both of which detect volatile organic compounds associated with SARS-CoV-2. In this study, the performance of trained detection dogs is compared to a noninvasive headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) approach to identifying COVID-19 positive individuals. Five dogs were trained to detect the odor signature associated with COVID-19. They varied in performance, with the two highest-performing dogs averaging 88% sensitivity and 95% specificity over five double-blind tests. The three lowest-performing dogs averaged 46% sensitivity and 87% specificity. The optimized linear discriminant analysis (LDA) model, developed using HS-SPME-GC-MS, displayed a 100% true positive rate and a 100% true negative rate using leave-one-out cross-validation. However, the non-optimized LDA model displayed difficulty in categorizing animal hair-contaminated samples, while animal hair did not impact the dogs' performance. In conclusion, the HS-SPME-GC-MS approach for noninvasive COVID-19 detection more accurately discriminated between COVID-19 positive and COVID-19 negative samples; however, dogs performed better than the computational model when non-ideal samples were presented.
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Affiliation(s)
- Vidia A. Gokool
- Global Forensic and Justice Center, Department of Chemistry and Biochemistry, Florida International University, Miami, FL 33199, USA
| | - Janet Crespo-Cajigas
- Global Forensic and Justice Center, Department of Chemistry and Biochemistry, Florida International University, Miami, FL 33199, USA
| | - Amritha Mallikarjun
- Penn Vet Working Dog Center, Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Amanda Collins
- Penn Vet Working Dog Center, Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sarah A. Kane
- Penn Vet Working Dog Center, Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Victoria Plymouth
- Penn Vet Working Dog Center, Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Elizabeth Nguyen
- Penn Vet Working Dog Center, Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Benjamin S. Abella
- Department of Emergency Medicine and Penn Acute Research Collaboration, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Howard K. Holness
- Global Forensic and Justice Center, Department of Chemistry and Biochemistry, Florida International University, Miami, FL 33199, USA
| | - Kenneth G. Furton
- Global Forensic and Justice Center, Department of Chemistry and Biochemistry, Florida International University, Miami, FL 33199, USA
| | - Alan T. Charlie Johnson
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Cynthia M. Otto
- Penn Vet Working Dog Center, Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Reeve C, Wilson C, Hanna D, Gadbois S. Dog Owners' Survey reveals Medical Alert Dogs can alert to multiple conditions and multiple people. PLoS One 2021; 16:e0249191. [PMID: 33852599 PMCID: PMC8046193 DOI: 10.1371/journal.pone.0249191] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 03/12/2021] [Indexed: 12/31/2022] Open
Abstract
Medical Alert Dogs (MADs) are a promising support system for a variety of medical conditions. Emerging anecdotal reports suggest that dogs may alert to additional health conditions and different people other than those that they were trained for or initially began alerting. As the use of medical alert dogs increases, it is imperative that such claims are documented empirically. The overall aims of this study were to record the proportion of MAD owners who have a dog that alerts to multiple health conditions or to people other than the target person and to determine whether any sociodemographic variables were associated with dogs alerting to multiple conditions, multiple people, or both. MAD owners completed an online survey that contained a series of forced choice questions. Sixty-one participants reported a total of 33 different conditions to which dogs alerted. Eighty-four percent of participants reported that their dog alerted to multiple conditions and 54% reported that their dog alerted to multiple people. This is the first study to document that a large percentage of people report that their MAD alerts to multiple conditions and/or to multiple people. We present a discussion of how these alerting abilities could develop, but questions about the underlying mechanisms remain.
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Affiliation(s)
- Catherine Reeve
- The School of Psychology, Queen’s University Belfast, Belfast, Northern Ireland
- * E-mail:
| | - Clara Wilson
- The School of Psychology, Queen’s University Belfast, Belfast, Northern Ireland
| | - Donncha Hanna
- The School of Psychology, Queen’s University Belfast, Belfast, Northern Ireland
| | - Simon Gadbois
- Department of Psychology and Neuroscience, Life Sciences Centre, Dalhousie University, Halifax, Canada
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Martin C, Diederich C, Verheggen F. Cadaver Dogs and the Deathly Hallows-A Survey and Literature Review on Selection and Training Procedure. Animals (Basel) 2020; 10:E1219. [PMID: 32709097 PMCID: PMC7401519 DOI: 10.3390/ani10071219] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 07/09/2020] [Accepted: 07/13/2020] [Indexed: 01/17/2023] Open
Abstract
Human remains detection dogs (HRDDs) are powerful police assets to locate a corpse. However, the methods used to select and train them are as diverse as the number of countries with such a canine brigade. First, a survey sent to human remains searching brigades (Ncountries = 10; NBrigades = 16; NHandlers = 50; Nquestions = 9), to collect their working habits confirmed the lack of optimized selection and training procedures. Second, a literature review was performed in order to outline the strengths and shortcomings of HRDDs training. A comparison between the scientific knowledge and the common practices used by HRDDs brigade was then conducted focusing on HRDDs selection and training procedures. We highlighted that HRDD handlers select their dogs by focusing on behavioral traits while neglecting anatomical features, which have been shown to be important. Most HRDD handlers reported to use a reward-based training, which is in accordance with training literature for dogs. Training aids should be representative of the odor target to allow a dog to reach optimal performances. The survey highlighted the wide diversity of homemade training aids, and the need to optimize their composition. In the present document, key research topics to improve HRDD works are also provided.
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Affiliation(s)
- Clément Martin
- TERRA, Gembloux Agro-Bio Tech, University of Liège, Avenue de la Faculté 2B, 5030 Gembloux, Belgium;
| | - Claire Diederich
- Namur Research Institute for Life Sciences, University of Namur, Rue de Bruxelles 61, B-5000 Namur, Belgium;
| | - François Verheggen
- TERRA, Gembloux Agro-Bio Tech, University of Liège, Avenue de la Faculté 2B, 5030 Gembloux, Belgium;
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