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Brebu M, Simion VE, Andronie V, Jaimes-Mogollón AL, Beleño-Sáenz KDJ, Ionescu F, Welearegay TG, Suschinel R, de Lema JB, Ionescu R. Putative volatile biomarkers of bovine tuberculosis infection in breath, skin and feces of cattle. Mol Cell Biochem 2023; 478:2473-2480. [PMID: 36840799 DOI: 10.1007/s11010-023-04676-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 02/09/2023] [Indexed: 02/26/2023]
Abstract
Bovine tuberculosis (bTB) is an infectious disease with significant impact on animal health, public health and international trade. Standard bTB screening in live cattle consists in injecting tuberculin and measuring the swelling at the place of injection few days later. This procedure is expensive, time-consuming, logistically challenging, and is not conclusive before performing confirmatory tests and additional analysis. The analysis of the volatile organic compounds (VOCs) emitted by non-invasive biological samples can provide an alternative diagnostic approach suitable for bTB screening. In the present study, we analyzed VOC samples emitted through the breath, feces and skin of 18 cows diagnosed with bTB from three farms from Romania, as well as of 27 negative cows for bTB from the same farms. Analytical studies employing gas chromatography coupled to mass spectrometry revealed 80 VOCs emitted through the breath, 200 VOCs released by feces, and 80 VOCs emitted through the skin. Statistical analysis of these compounds allowed the identification of 3 tentative breath VOC biomarkers (acetone; 4-methyldecane; D-limonene), 9 tentative feces VOC biomarkers (toluene; [(1,1-dimethylethyl)thio]acetic acid; alpha-thujene; camphene; phenol; o-cymene; 3-(1,1-dimethylethyl)-2,2,4,4-tetramethyl-3-pentanol; 2,5-dimethylhexane-2,5-dihydroperoxide; 2,4-di-tert-butylphenol), and 3 tentative skin VOC biomarkers (ammonia; 1-methoxy-2-propanol; toluene). The possible pathway of these volatile biomarkers is discussed.
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Affiliation(s)
- Mihai Brebu
- "Petru Poni" Institute of Macromolecular Chemistry, Aleea Grigore Ghica Voda 41A, 700487, Iasi, Romania
| | - Violeta Elena Simion
- Faculty of Veterinary Medicine, Spiru Haret University, Bd. Basarabia 256, 030171, Bucharest, Romania
| | - Viorel Andronie
- Faculty of Veterinary Medicine, Spiru Haret University, Bd. Basarabia 256, 030171, Bucharest, Romania
| | - Aylen Lisset Jaimes-Mogollón
- GISM Group, Faculty of Engineering and Architecture, University of Pamplona, Ciudad Universitaria, Via Bucaramanga Km 1, 543050, Pamplona, Colombia
| | - Kelvin de Jesús Beleño-Sáenz
- GISM Group, Faculty of Engineering and Architecture, University of Pamplona, Ciudad Universitaria, Via Bucaramanga Km 1, 543050, Pamplona, Colombia
- Department of Mechatronics Engineering, Universidad Autónoma del Caribe, Calle 90 #46-112, 080020, Barranquilla, Colombia
| | - Florina Ionescu
- The Ångström Laboratory, Department of Materials Science and Engineering, Uppsala University, P.O. Box 35, 75103, Uppsala, Sweden
| | - Tesfalem Geremariam Welearegay
- The Ångström Laboratory, Department of Materials Science and Engineering, Uppsala University, P.O. Box 35, 75103, Uppsala, Sweden
| | - Raluca Suschinel
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Kreutzwaldi 62, 51006, Tartu, Estonia
| | - Jose Bruno de Lema
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Kreutzwaldi 62, 51006, Tartu, Estonia
- D Asociation, Paseo de la Montaña 14, 08402, Granollers, Barcelona, Spain
| | - Radu Ionescu
- D Asociation, Paseo de la Montaña 14, 08402, Granollers, Barcelona, Spain.
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de Jesús Beleño-Sáenz K, Cáceres-Tarazona JM, Nol P, Jaimes-Mogollón AL, Gualdrón-Guerrero OE, Durán-Acevedo CM, Barasona JA, Vicente J, Torres MJ, Welearegay TG, Österlund L, Rhyan J, Ionescu R. Non-Invasive Method to Detect Infection with Mycobacterium tuberculosis Complex in Wild Boar by Measurement of Volatile Organic Compounds Obtained from Feces with an Electronic Nose System. Sensors (Basel) 2021; 21:s21020584. [PMID: 33467480 PMCID: PMC7829825 DOI: 10.3390/s21020584] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 01/08/2021] [Accepted: 01/13/2021] [Indexed: 01/03/2023]
Abstract
More effective methods to detect bovine tuberculosis, caused by Mycobacterium bovis, in wildlife, is of paramount importance for preventing disease spread to other wild animals, livestock, and human beings. In this study, we analyzed the volatile organic compounds emitted by fecal samples collected from free-ranging wild boar captured in Doñana National Park, Spain, with an electronic nose system based on organically-functionalized gold nanoparticles. The animals were separated by the age group for performing the analysis. Adult (>24 months) and sub-adult (12-24 months) animals were anesthetized before sample collection, whereas the juvenile (<12 months) animals were manually restrained while collecting the sample. Good accuracy was obtained for the adult and sub-adult classification models: 100% during the training phase and 88.9% during the testing phase for the adult animals, and 100% during both the training and testing phase for the sub-adult animals, respectively. The results obtained could be important for the further development of a non-invasive and less expensive detection method of bovine tuberculosis in wildlife populations.
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Affiliation(s)
- Kelvin de Jesús Beleño-Sáenz
- Mechatronics Engineering Department, Universidad Autónoma del Caribe, Barranquilla 080020, Colombia;
- GISM Group, Faculty of Engineering and Architecture, University of Pamplona, Pamplona 543050, Colombia; (J.M.C.-T.); (A.L.J.-M.); (O.E.G.-G.); (C.M.D.-A.)
| | - Juan Martín Cáceres-Tarazona
- GISM Group, Faculty of Engineering and Architecture, University of Pamplona, Pamplona 543050, Colombia; (J.M.C.-T.); (A.L.J.-M.); (O.E.G.-G.); (C.M.D.-A.)
| | - Pauline Nol
- Centers for Epidemiology and Animal Health, Veterinary Services, Animal and Plant Health Inspection, Service, United States Department of Agriculture, Fort Collins, CO 80526, USA; (P.N.); (J.R.)
| | - Aylen Lisset Jaimes-Mogollón
- GISM Group, Faculty of Engineering and Architecture, University of Pamplona, Pamplona 543050, Colombia; (J.M.C.-T.); (A.L.J.-M.); (O.E.G.-G.); (C.M.D.-A.)
| | - Oscar Eduardo Gualdrón-Guerrero
- GISM Group, Faculty of Engineering and Architecture, University of Pamplona, Pamplona 543050, Colombia; (J.M.C.-T.); (A.L.J.-M.); (O.E.G.-G.); (C.M.D.-A.)
| | - Cristhian Manuel Durán-Acevedo
- GISM Group, Faculty of Engineering and Architecture, University of Pamplona, Pamplona 543050, Colombia; (J.M.C.-T.); (A.L.J.-M.); (O.E.G.-G.); (C.M.D.-A.)
| | - Jose Angel Barasona
- VISAVET Health Surveillance Centre, Animal Health Department, Faculty of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain;
| | - Joaquin Vicente
- SaBio Instituto de Investigación en Recursos Cinegéticos IREC, ETSIA Ciudad Real, University of Castilla La Mancha & CSIC, 13003 Ciudad Real, Spain;
| | - María José Torres
- Biomedical Institute of Sevilla (IBiS), University of Seville, University Hospital Virgen del Rocío/CSIC, 41071 Seville, Spain;
| | - Tesfalem Geremariam Welearegay
- The Ångström Laboratory, Department of Materials Science and Engineering Sciences, Uppsala University, P.O. Box 35, 75103 Uppsala, Sweden; (T.G.W.); (L.Ö.)
| | - Lars Österlund
- The Ångström Laboratory, Department of Materials Science and Engineering Sciences, Uppsala University, P.O. Box 35, 75103 Uppsala, Sweden; (T.G.W.); (L.Ö.)
| | - Jack Rhyan
- Centers for Epidemiology and Animal Health, Veterinary Services, Animal and Plant Health Inspection, Service, United States Department of Agriculture, Fort Collins, CO 80526, USA; (P.N.); (J.R.)
| | - Radu Ionescu
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, 51006 Tartu, Estonia
- Correspondence:
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Nol P, Ionescu R, Geremariam Welearegay T, Barasona JA, Vicente J, de Jesus Beleño-Sáenz K, Barrenetxea I, Jose Torres M, Ionescu F, Rhyan J. Evaluation of Volatile Organic Compounds Obtained from Breath and Feces to Detect Mycobacterium tuberculosis Complex in Wild Boar ( Sus scrofa) in Doñana National Park, Spain. Pathogens 2020; 9:pathogens9050346. [PMID: 32370281 PMCID: PMC7281121 DOI: 10.3390/pathogens9050346] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/20/2020] [Accepted: 04/26/2020] [Indexed: 12/03/2022] Open
Abstract
The presence of Mycobacterium tuberculosis complex (MTBC) in wild swine, such as in wild boar (Sus scrofa) in Eurasia, is cause for serious concern. Development of accurate, efficient, and noninvasive methods to detect MTBC in wild swine would be highly beneficial to surveillance and disease management efforts in affected populations. Here, we describe the first report of identification of volatile organic compounds (VOC) obtained from the breath and feces of wild boar to distinguish between MTBC-positive and MTBC-negative boar. We analyzed breath and fecal VOC collected from 15 MTBC-positive and 18 MTBC-negative wild boar in Donaña National Park in Southeast Spain. Analyses were divided into three age classes, namely, adults (>2 years), sub-adults (12–24 months), and juveniles (<12 months). We identified significant compounds by applying the two-tailed statistical t-test for two samples assuming unequal variance, with an α value of 0.05. One statistically significant VOC was identified in breath samples from adult wild boar and 14 were identified in breath samples from juvenile wild boar. One statistically significant VOC was identified in fecal samples collected from sub-adult wild boar and three were identified in fecal samples from juvenile wild boar. In addition, discriminant function analysis (DFA) was used to build classification models for MTBC prediction in juvenile animals. Using DFA, we were able to distinguish between MTBC-positive juvenile wild boar and MTBC-negative juvenile wild boar using breath VOC or fecal VOC. Based on our results, further research is warranted and should be performed using larger sample sizes, as well as wild boar from various geographic locations, to verify these compounds as biomarkers for MTBC infection in this species. This new approach to detect MTBC infection in free-ranging wild boar potentially comprises a reliable and efficient screening tool for surveillance in animal populations.
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Affiliation(s)
- Pauline Nol
- Centers for Epidemiology and Animal Health, Veterinary Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO 80526, USA
- Correspondence: ; Tel.: +1-970-218-1418
| | - Radu Ionescu
- Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.I.); (I.B.); (F.I.)
- The Ångström Laboratory, Division of Solid State Physics, Department of Materials Science and Engineering Sciences, Uppsala University, 75121 Uppsala, Sweden;
| | - Tesfalem Geremariam Welearegay
- The Ångström Laboratory, Division of Solid State Physics, Department of Materials Science and Engineering Sciences, Uppsala University, 75121 Uppsala, Sweden;
| | - Jose Angel Barasona
- VISAVET Health Surveillance Centre, Animal Health Department, Faculty of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain;
| | - Joaquin Vicente
- SaBio Instituto de Investigación en Recursos Cinegéticos IREC, ETSIA Ciudad Real, University Castilla La Mancha & CSIC, 13003 Ciudad Real, Spain;
| | - Kelvin de Jesus Beleño-Sáenz
- Faculty of Engineering, Universidad Autónoma del Caribe, Barranquilla 080020, Colombia;
- Department of Chemical Engineering, Complutense University of Madrid, 28040 Madrid, Spain
| | - Irati Barrenetxea
- Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.I.); (I.B.); (F.I.)
| | - Maria Jose Torres
- Biomedical Institute of Sevilla (IBiS), University of Seville, University Hospital Virgen del Rocío/CSIC, 41071 Seville, Spain;
| | - Florina Ionescu
- Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.I.); (I.B.); (F.I.)
| | - Jack Rhyan
- National Veterinary Services Laboratory, Veterinary Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, Fort Collins, CO 80521 USA;
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Welearegay TG, Diouani MF, Österlund L, Borys S, Khaled S, Smadhi H, Ionescu F, Bouchekoua M, Aloui D, Laouini D, Cindemir U, Ionescu R. Diagnosis of Human Echinococcosis via Exhaled Breath Analysis: A Promise for Rapid Diagnosis of Infectious Diseases Caused by Helminths. J Infect Dis 2019; 219:101-109. [PMID: 30016445 DOI: 10.1093/infdis/jiy449] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Accepted: 07/13/2018] [Indexed: 01/02/2023] Open
Abstract
Background Human echinococcosis is a neglected infectious disease affecting more than 1 million people globally. Its diagnosis is expensive and difficult because of lack of adequate resources in low-resource locations, where most cases occur. Methods A group of volunteers diagnosed with the 2 main types of echinococcosis and corresponding control groups were recruited from hospitals in Tunisia (32 patients with cystic echinococcosis and 43 controls) and Poland (16 patients with alveolar echinococcosis and 8 controls). Breath samples were collected from all patients and analyzed by gas chromatography coupled to mass spectrometry, and a specifically developed electronic nose system. Results The chemical analysis revealed statistically different concentrations of 2 compounds in the breath of patients with cystic echinococcosis compared to controls, and statistically different concentrations of 7 compounds in the breath of patients with alveolar echinococcosis compared to controls. The discrimination accuracy achieved by the electronic nose system was 100% for cystic echinococcosis and 92.9% for alveolar echinococcosis, while the discrimination accuracy between these 2 patient groups was 92.1%. Conclusion Here we advocate a noninvasive, fast, easy-to-operate and nonexpensive diagnostic tool for the diagnosis of human echinococcosis disease through exhaled breath analysis, suitable for early diagnosis and population screening.
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Affiliation(s)
| | - Mohamed Fethi Diouani
- Laboratory of Epidemiology and Veterinary Microbiology, Institut Pasteur de Tunis, University Tunis El Manar, Tunis-Belvédère, Tunisia
| | - Lars Österlund
- Molecular Fingerprint AB Sweden, Uppsala.,Ångström Laboratory, Division of Solid State Physics, Department of Engineering Sciences, Uppsala University, Sweden
| | - Sebastian Borys
- University Centre of Maritime and Tropical Medicine, Gdynia-Redlowo, Poland
| | - Samira Khaled
- Parasitology-Mycology Laboratory, Charles Nicolle Hospital, Tunis
| | - Hanen Smadhi
- Ibn Nafis Pneumology Department, Abderrahman Mami Hospital, Ariana
| | - Florina Ionescu
- Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, Tarragona, Spain
| | | | - Dorsaf Aloui
- Parasitology-Mycology Laboratory, Charles Nicolle Hospital, Tunis
| | - Dhafer Laouini
- Laboratory of Transmission, Control and Immunobiology of Infections
| | - Umut Cindemir
- Molecular Fingerprint AB Sweden, Uppsala.,Ångström Laboratory, Division of Solid State Physics, Department of Engineering Sciences, Uppsala University, Sweden
| | - Radu Ionescu
- Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, Tarragona, Spain.,Ångström Laboratory, Division of Solid State Physics, Department of Engineering Sciences, Uppsala University, Sweden.,Institute of Macromolecular Chemistry "Petru Poni", Iasi, Romania
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5
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Welearegay TG, Diouani MF, Österlund L, Ionescu F, Belgacem K, Smadhi H, Khaled S, Kidar A, Cindemir U, Laouini D, Ionescu R. Ligand-Capped Ultrapure Metal Nanoparticle Sensors for the Detection of Cutaneous Leishmaniasis Disease in Exhaled Breath. ACS Sens 2018; 3:2532-2540. [PMID: 30403135 DOI: 10.1021/acssensors.8b00759] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Human cutaneous leishmaniasis, although designated as one of the most neglected tropical diseases, remains underestimated due to its misdiagnosis. The diagnosis is mainly based on the microscopic detection of amastigote forms, isolation of the parasite, or the detection of Leishmania DNA, in addition to its differential clinical characterization; these tools are not always available in routine daily practice, and they are expensive and time-consuming. Here, we present a simple-to-use, noninvasive approach for human cutaneous leishmaniasis diagnosis, which is based on the analysis of volatile organic compounds in exhaled breath with an array of specifically designed chemical gas sensors. The study was realized on a group of n = 28 volunteers diagnosed with human cutaneous leishmaniasis and a group of n = 32 healthy controls, recruited in various sites from Tunisia, an endemic country of the disease. The classification success rate of human cutaneous leishmaniasis patients achieved by our sensors test was 98.2% accuracy, 96.4% sensitivity, and 100% specificity. Remarkably, one of the sensors, based on CuNPs functionalized with 2-mercaptobenzoxazole, yielded 100% accuracy, 100% sensitivity, and 100% specificity for human cutaneous leishmaniasis discrimination. While AuNPs have been the most extensively used in metal nanoparticle-ligand sensing films for breath sensing, our results demonstrate that chemical sensors based on ligand-capped CuNPs also hold great potential for breath volatile organic compounds detection. Additionally, the chemical analysis of the breath samples with gas chromatography coupled to mass spectrometry identified nine putative breath biomarkers for human cutaneous leishmaniasis.
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Affiliation(s)
- Tesfalem Geremariam Welearegay
- MINOS-EMaS, Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, Tarragona 43007, Spain
| | - Mohamed Fethi Diouani
- Institut Pasteur
de Tunis, LR11IPT03, Laboratory of Epidemiology and Veterinary Microbiology
(LEMV), University Tunis El Manar, Tunis-Belvédère 1002, Tunisia
| | - Lars Österlund
- Molecular Fingerprint AB Sweden, Uppsala 75655, Sweden
- The Ångström Laboratory, Division of Solid State Physics, Department of Engineering Sciences, Uppsala University, Uppsala 75121, Sweden
| | - Florina Ionescu
- MINOS-EMaS, Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, Tarragona 43007, Spain
| | - Kamel Belgacem
- Institut Pasteur
de Tunis, LR11IPT03, Laboratory of Epidemiology and Veterinary Microbiology
(LEMV), University Tunis El Manar, Tunis-Belvédère 1002, Tunisia
| | - Hanen Smadhi
- Ibn Nafis Pneumology Department, Abderrahman Mami Hospital, Ariana 2080, Tunisia
| | - Samira Khaled
- Parasitology-Mycology Laboratory, Charles Nicolle Hospital, Rue 9 Avril 1938, Tunis 1006, Tunisia
| | - Abdelhamid Kidar
- Regional Hospital Houssine Bouzaiene of Gafsa, Gafsa Douali 2100, Tunisia
| | - Umut Cindemir
- Molecular Fingerprint AB Sweden, Uppsala 75655, Sweden
- The Ångström Laboratory, Division of Solid State Physics, Department of Engineering Sciences, Uppsala University, Uppsala 75121, Sweden
| | - Dhafer Laouini
- Institut Pasteur de Tunis, LR11IPT02, Laboratory of Transmission, Control and Immunobiology of Infections (LTCII), University Tunis El Manar, Tunis-Belvédère 1002, Tunisia
| | - Radu Ionescu
- MINOS-EMaS, Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, Tarragona 43007, Spain
- The Ångström Laboratory, Division of Solid State Physics, Department of Engineering Sciences, Uppsala University, Uppsala 75121, Sweden
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Durán-Acevedo CM, Jaimes-Mogollón AL, Gualdrón-Guerrero OE, Welearegay TG, Martinez-Marín JD, Caceres-Tarazona JM, Sánchez-Acevedo ZC, Beleño-Saenz KDJ, Cindemir U, Österlund L, Ionescu R. Exhaled breath analysis for gastric cancer diagnosis in Colombian patients. Oncotarget 2018; 9:28805-28817. [PMID: 29988892 PMCID: PMC6034740 DOI: 10.18632/oncotarget.25331] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 02/28/2018] [Indexed: 01/15/2023] Open
Abstract
We present here the first study that directly correlates gastric cancer (GC) with specific biomarkers in the exhaled breath composition on a South American population, which registers one of the highest global incidence rates of gastric affections. Moreover, we demonstrate a novel solid state sensor that predicts correct GC diagnosis with 97% accuracy. Alveolar breath samples of 30 volunteers (patients diagnosed with gastric cancer and a controls group formed of patients diagnosed with other gastric diseases) were collected and analyzed by gas-chromatography/mass-spectrometry (GC-MS) and with an innovative chemical gas sensor based on gold nanoparticles (AuNP) functionalized with octadecylamine ligands. Our GC-MS analyses identified 6 volatile organic compounds that showed statistically significant differences between the cancer patients and the controls group. These compounds were different from those identified in previous studied performed on other populations with high incidence rates of this malady, such as China (representative for Eastern Asia region) and Latvia (representative for Baltic States), attributable to lifestyle, alimentation and genetics differences. A classification model based on principal component analysis of our sensor data responses to the breath samples yielded 97% accuracy, 100% sensitivity and 93% specificity. Our results suggest a new and non-intrusive methodology for early diagnosis of gastric cancer that may be deployed in regions lacking well-developed health care systems as a prediagnosis test for selecting the patients that should undergo deeper investigations (e.g., endoscopy and biopsy).
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Affiliation(s)
- Cristhian Manuel Durán-Acevedo
- Multisensor System and Pattern Recognition Research Group (GISM), Electronic Engineering Program, Universidad de Pamplona, Pamplona, Colombia
| | - Aylen Lisset Jaimes-Mogollón
- Multisensor System and Pattern Recognition Research Group (GISM), Electronic Engineering Program, Universidad de Pamplona, Pamplona, Colombia
| | - Oscar Eduardo Gualdrón-Guerrero
- Multisensor System and Pattern Recognition Research Group (GISM), Electronic Engineering Program, Universidad de Pamplona, Pamplona, Colombia
| | | | - Julián Davíd Martinez-Marín
- GASTROSUR S.A., Universidad Nacional de Colombia, Facultad de Medicina, Bogotá, Colombia.,Hospital Universitario la Samaritana, Bogotá, Colombia
| | - Juan Martín Caceres-Tarazona
- Multisensor System and Pattern Recognition Research Group (GISM), Electronic Engineering Program, Universidad de Pamplona, Pamplona, Colombia
| | - Zayda Constanza Sánchez-Acevedo
- Multisensor System and Pattern Recognition Research Group (GISM), Electronic Engineering Program, Universidad de Pamplona, Pamplona, Colombia
| | | | - Umut Cindemir
- Molecular Fingerprint Sweden AB, Uppsala, Sweden.,Department of Solid State Physics, The Ångström Laboratory, Uppsala University, Uppsala, Sweden
| | - Lars Österlund
- Molecular Fingerprint Sweden AB, Uppsala, Sweden.,Department of Solid State Physics, The Ångström Laboratory, Uppsala University, Uppsala, Sweden
| | - Radu Ionescu
- Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, Tarragona, Spain
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Welearegay TG, Cindemir U, Österlund L, Ionescu R. Fabrication and characterisation of ligand-functionalised ultrapure monodispersed metal nanoparticle nanoassemblies employing advanced gas deposition technique. Nanotechnology 2018; 29:065603. [PMID: 29206108 DOI: 10.1088/1361-6528/aa9f65] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Here, we report for the first time the fabrication of ligand-functionalised ultrapure monodispersed metal nanoparticles (Au, Cu, and Pt) from their pure metal precursors using the advanced gas deposition technique. The experimental conditions during nanoparticle formation were adjusted in order to obtain ultrafine isolated nanoparticles on different substrates. The morphology and surface analysis of the as-deposited metal nanoparticles were investigated using scanning electron microscopy, x-ray diffraction and Fourier transform infra-red spectroscopy, which demonstrated the formation of highly ordered pure crystalline nanoparticles with a relatively uniform size distribution of ∼10 nm (Au), ∼4 nm (Cu) and ∼3 nm (Pt), respectively. A broad range of organic ligands containing thiol or amine functional groups were attached to the nanoparticles to form continuous networks of nanoparticle-ligand nanoassemblies, which were characterised by scanning electron microscopy and x-ray photoelectron spectroscopy. The electrical resistance of the functional nanoassemblies deposited in the gap spacing of two microfabricated parallel Au electrodes patterned on silicon substrates ranged between tens of kΩ and tens of MΩ, which is suitable for use in many applications including (bio)chemical sensors, surface-enhanced Raman spectroscopy and molecular electronic rectifiers.
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Affiliation(s)
- Tesfalem Geremariam Welearegay
- Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, Tarragona 43007, Spain. Molecular Fingerprint Sweden AB, Uppsala 75655, Sweden. The Angstrom Laboratory, Department of Engineering Sciences, Uppsala University, Uppsala 75121, Sweden
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