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Golfinopoulou R, Hatziagapiou K, Mavrikou S, Kintzios S. Unveiling Colorectal Cancer Biomarkers: Harnessing Biosensor Technology for Volatile Organic Compound Detection. SENSORS (BASEL, SWITZERLAND) 2024; 24:4712. [PMID: 39066110 PMCID: PMC11281049 DOI: 10.3390/s24144712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 07/16/2024] [Accepted: 07/18/2024] [Indexed: 07/28/2024]
Abstract
Conventional screening options for colorectal cancer (CRC) detection are mainly direct visualization and invasive methods including colonoscopy and flexible sigmoidoscopy, which must be performed in a clinical setting and may be linked to adverse effects for some patients. Non-invasive CRC diagnostic tests such as computed tomography colonography and stool tests are either too costly or less reliable than invasive ones. On the other hand, volatile organic compounds (VOCs) are potentially ideal non-invasive biomarkers for CRC detection and monitoring. The present review is a comprehensive presentation of the current state-of-the-art VOC-based CRC diagnostics, with a specific focus on recent advancements in biosensor design and application. Among them, breath-based chromatography pattern analysis and sampling techniques are overviewed, along with nanoparticle-based optical and electrochemical biosensor approaches. Limitations of the currently available technologies are also discussed with an outlook for improvement in combination with big data analytics and advanced instrumentation, as well as expanding the scope and specificity of CRC-related volatile biomarkers.
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Affiliation(s)
- Rebecca Golfinopoulou
- Laboratory of Cell Technology, Department of Biotechnology, Agricultural University of Athens, EU-CONEXUS European University, 11855 Athens, Greece;
| | - Kyriaki Hatziagapiou
- First Department of Pediatrics, National and Kapodistrian University of Athens, “Aghia Sophia” Children’s Hospital, Thivon 1, 11527 Athens, Greece;
| | - Sophie Mavrikou
- Laboratory of Cell Technology, Department of Biotechnology, Agricultural University of Athens, EU-CONEXUS European University, 11855 Athens, Greece;
- CeBTec, 40 Vatatzi, 11472 Athens, Greece
| | - Spyridon Kintzios
- Laboratory of Cell Technology, Department of Biotechnology, Agricultural University of Athens, EU-CONEXUS European University, 11855 Athens, Greece;
- CeBTec, 40 Vatatzi, 11472 Athens, Greece
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Souissi R, Bouricha B, Ihzaz N, Bouguila N, Abderrabba M. Isopropanol sensor based on sprayed In 2S 3 thin film using linear discriminant analysis for real-time selectivity. RSC Adv 2024; 14:23543-23558. [PMID: 39071483 PMCID: PMC11274098 DOI: 10.1039/d4ra03498h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Accepted: 07/18/2024] [Indexed: 07/30/2024] Open
Abstract
Metal sulfides have been studied for their high performance as new sensitive materials for gas detection. These material innovations contribute significantly to the development of more sensitive, stable and specific conductivity sensors, opening the way to new applications in detecting gases at low concentrations. Hence, this work reports on the sensing performance of In2S3 for isopropanol detection. Numerous VOCs, such as ketones, alcohols, and aldehydes, serve as cancer biomarkers. Notably, isopropanol, as a biomarker, shows a substantial increase (20-1007 ppb) in lung cancer patients, suggesting its potential as an early diagnostic criterion. To explore this, we fabricated a thin film of In2S3 onto a platinum interdigitated silicon dioxide substrate by simple and low-cost spray pyrolysis technology. Structural and morphological analyses via XRD, MEB, AFM, and TEM were conducted on the prepared samples. Isopropanol vapor response was assessed within a controlled temperature range of 250 °C-450 °C. The In2S3-based sensor demonstrated notable sensitivity (0.034 ppm-1), maintained stability over three weeks, and reliably detected isopropanol activation. In2S3 emerges as a promising candidate for detecting isopropanol, with a limit of detection (LOD) of 162 ppb. In this work, seven VOCs, including isopropanol, ethanol, methanol, butan-1-ol, formaldehyde, toluene, and acetone, were evaluated. Cross-responses among these VOCs were observed, indicating a lack of assured sensor selectivity. However, isopropanol recognition was achieved by employing linear discriminant analysis (LDA) on pertinent features derived from transient current change measurements. As a result, the sensor's sensitivity enables the deduction of the isopropanol concentration.
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Affiliation(s)
- R Souissi
- Laboratory of Materials, Molecules and Applications IPEST, University of Carthage BP 51 La Marsa 2070 Tunis Tunisia +216 28419444
- Preparatory Institute of Engineering Studies of Bizerte, University of Carthage Zarzouna 7021 Bizerte Tunisia
| | - B Bouricha
- Laboratory of Materials, Molecules and Applications IPEST, University of Carthage BP 51 La Marsa 2070 Tunis Tunisia +216 28419444
- Faculty of Sciences of Bizerte, University of Carthage Zarzouna 7021 Bizerte Tunisia
| | - N Ihzaz
- Faculty of Sciences of Gabes, Laboratory of Physics of Materials and Nanomaterials Applied to the Environment, University of Gabes Erriadh 6079 Gabes Tunisia
| | - N Bouguila
- Faculty of Sciences of Gabes, Laboratory of Physics of Materials and Nanomaterials Applied to the Environment, University of Gabes Erriadh 6079 Gabes Tunisia
| | - M Abderrabba
- Laboratory of Materials, Molecules and Applications IPEST, University of Carthage BP 51 La Marsa 2070 Tunis Tunisia +216 28419444
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3
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Fan X, Zhong R, Liang H, Zhong Q, Huang H, He J, Chen Y, Wang Z, Xie S, Jiang Y, Lin Y, Chen S, Liang W, He J. Exhaled VOC detection in lung cancer screening: a comprehensive meta-analysis. BMC Cancer 2024; 24:775. [PMID: 38937687 PMCID: PMC11212189 DOI: 10.1186/s12885-024-12537-7] [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: 04/04/2024] [Accepted: 06/18/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND Lung cancer (LC), characterized by high incidence and mortality rates, presents a significant challenge in oncology. Despite advancements in treatments, early detection remains crucial for improving patient outcomes. The accuracy of screening for LC by detecting volatile organic compounds (VOCs) in exhaled breath remains to be determined. METHODS Our systematic review, following PRISMA guidelines and analyzing data from 25 studies up to October 1, 2023, evaluates the effectiveness of different techniques in detecting VOCs. We registered the review protocol with PROSPERO and performed a systematic search in PubMed, EMBASE and Web of Science. Reviewers screened the studies' titles/abstracts and full texts, and used QUADAS-2 tool for quality assessment. Then performed meta-analysis by adopting a bivariate model for sensitivity and specificity. RESULTS This study explores the potential of VOCs in exhaled breath as biomarkers for LC screening, offering a non-invasive alternative to traditional methods. In all studies, exhaled VOCs discriminated LC from controls. The meta-analysis indicates an integrated sensitivity and specificity of 85% and 86%, respectively, with an AUC of 0.93 for VOC detection. We also conducted a systematic analysis of the source of the substance with the highest frequency of occurrence in the tested compounds. Despite the promising results, variability in study quality and methodological challenges highlight the need for further research. CONCLUSION This review emphasizes the potential of VOC analysis as a cost-effective, non-invasive screening tool for early LC detection, which could significantly improve patient management and survival rates.
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Affiliation(s)
- Xianzhe Fan
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Ran Zhong
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Hengrui Liang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Qiu Zhong
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Hongtai Huang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Juan He
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Yang Chen
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Zixun Wang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Songlin Xie
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Yu Jiang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Yuechun Lin
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Sitong Chen
- ChromX Health Co., Ltd, Guangzhou, Guangdong, China
| | - Wenhua Liang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China.
- Department of Thoracic Surgery and Oncology, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510120, China.
| | - Jianxing He
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China.
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Zaky ZA, Al-Dossari M, Hendy AS, Badawy WM, Aly AH. Periodic open and closed resonators as a biosensor using two computational methods. Sci Rep 2024; 14:11943. [PMID: 38789449 PMCID: PMC11126621 DOI: 10.1038/s41598-024-61987-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
The volatile particles and molecules in our dry exhaled breath can reveal enormous information about the health of any person, such as the person's respiratory and metabolic functioning. Beyond the carbon dioxide level is an indicator of life, it provides important health-related data like people's metabolic rate. This study considers periodic open and closed resonators for measuring carbon dioxide concentration in dry exhaled breath. Transfer matrix and green methods are used to simulate the interaction between acoustic waves and the proposed sensor. The band gaps using the green method coincide with the transmittance spectra by the transfer matrix. The suggested sensor recorded a sensitivity of 5.3 H z . m - 1 . s , a figure of merit of 10,254m - 1 . s , a detection limit of 5 × 10 - 6 m . s - 1 , and a quality factor of 3 × 10 6 . Furthermore, the efficiency shows that the proposed design is appropriate as a diagnostic sensor for different diseases such as chronic obstructive pulmonary. Besides, cylindrical-adapted sensors are urgently needed in medicine, industry, and biology because they can simultaneously be used for fluid transport and detection.
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Affiliation(s)
- Zaky A Zaky
- TH-PPM Group, Physics Department, Faculty of Science, Beni-Suef University, Beni-Suef, 62521, Egypt.
| | - M Al-Dossari
- Department of Physics, Faculty of Science, King Khalid University, 62529, Abha, Saudi Arabia
| | - Ahmed S Hendy
- Department of Computational Mathematics and Computer Science, Institute of Natural Sciences and Mathematics, Ural Federal University, 19 Mira St., Yekaterinburg, Russia, 620002
| | - Wael M Badawy
- Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, Dubna, Russian Federation, 141980
- Radiation Protection and Civil Defense Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Cairo, 13759, Egypt
| | - Arafa H Aly
- TH-PPM Group, Physics Department, Faculty of Science, Beni-Suef University, Beni-Suef, 62521, Egypt
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5
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Mashhadbani M, Faizabadi E. Investigating the enhancement of lung cancer sensing: the effect of edge halogenation in armchair stanene nanoribbons. Phys Chem Chem Phys 2024; 26:13335-13349. [PMID: 38639922 DOI: 10.1039/d3cp06343g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
In this research, we explore the impact of edge passivation using halogen atoms on armchair stanene nanoribbon (ASNR) for the early detection of lung cancer biomarkers. We employ non-equilibrium green function (NEGF) and density functional theory (DFT) methods to evaluate sensing characteristics. The edges of ASNR are passivated with fluorine, chlorine, bromine, and iodine atoms. Our findings indicate a significant enhancement in sensing performance upon halogenation of ASNR. Notable changes in adsorption energy and current for edge-halogenated ASNR configurations demonstrate improved sensing behavior. Moreover, current curves exhibit greater distinctiveness of halogenated ASNR in comparison to hydrogenated ASNR. The calculations indicate a change in adsorption energy (Eads) of -7.59 eV, -7.6 eV, -8.3 eV, and -8.6 eV for the adsorption by styrene on I-ASnNR, Br-ASnNR, toluene on Cl-ASnNR, and styrene on F-ASnNR, respectively. The corresponding sensitivity improves up to 37.33%, 38.09%, 38.35%, and 45.5%, respectively. These findings highlight that the most significant change occurs with the edge fluorination of ASnNR. Our findings underscore the effectiveness of halogen atom edge passivation in ASNR for heightened sensing performance, making it a promising choice for the development of early-detection lung cancer sensors.
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Affiliation(s)
| | - Edris Faizabadi
- Iran University of Science and Technology, Islamic Republic of Iran.
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6
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Hussain MS, Gupta G, Mishra R, Patel N, Gupta S, Alzarea SI, Kazmi I, Kumbhar P, Disouza J, Dureja H, Kukreti N, Singh SK, Dua K. Unlocking the secrets: Volatile Organic Compounds (VOCs) and their devastating effects on lung cancer. Pathol Res Pract 2024; 255:155157. [PMID: 38320440 DOI: 10.1016/j.prp.2024.155157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/15/2024] [Accepted: 01/18/2024] [Indexed: 02/08/2024]
Abstract
Lung cancer (LCs) is still a serious health problem globally, with many incidences attributed to environmental triggers such as Volatile Organic Compounds (VOCs). VOCs are a broad class of compounds that can be released via various sources, including industrial operations, automobile emissions, and indoor air pollution. VOC exposure has been linked to an elevated risk of lung cancer via multiple routes. These chemicals can be chemically converted into hazardous intermediate molecules, resulting in DNA damage and genetic alterations. VOCs can also cause oxidative stress, inflammation, and a breakdown in the cellular protective antioxidant framework, all of which contribute to the growth of lung cancer. Moreover, VOCs have been reported to alter critical biological reactions such as cell growth, apoptosis, and angiogenesis, leading to tumor development and metastasis. Epidemiological investigations have found a link between certain VOCs and a higher probability of LCs. Benzene, formaldehyde, and polycyclic aromatic hydrocarbons (PAHs) are some of the most well-researched VOCs, with comprehensive data confirming their cancer-causing potential. Nevertheless, the possible health concerns linked with many more VOCs and their combined use remain unknown, necessitating further research. Identifying the toxicological consequences of VOCs in LCs is critical for establishing focused preventative tactics and therapeutic strategies. Better legislation and monitoring mechanisms can limit VOC contamination in occupational and environmental contexts, possibly reducing the prevalence of LCs. Developing VOC exposure indicators and analyzing their associations with genetic susceptibility characteristics may also aid in early identification and targeted therapies.
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Affiliation(s)
- Md Sadique Hussain
- School of Pharmaceutical Sciences, Jaipur National University, Jagatpura, Jaipur, Rajasthan 302017, India
| | - Gaurav Gupta
- Centre for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, India; Centre of Medical and Bio-allied Health Sciences Research, Ajman University, Ajman, 346, United Arab Emirates; School of Pharmacy, Suresh Gyan Vihar University, Mahal Road, Jagatpura, Jaipur, India
| | - Riya Mishra
- School of Pharmacy, Suresh Gyan Vihar University, Mahal Road, Jagatpura, Jaipur, India
| | - Neeraj Patel
- School of Pharmacy, Suresh Gyan Vihar University, Mahal Road, Jagatpura, Jaipur, India
| | - Saurabh Gupta
- Chameli Devi Institute of Pharmacy, Department of Pharmacology, Khandwa Road, Village Umrikheda, Near Toll booth, Indore, Madhya Pradesh 452020, India
| | - Sami I Alzarea
- Department of Pharmacology, College of Pharmacy, Jouf University, Sakaka, 72341, Al-Jouf, Saudi Arabia
| | - Imran Kazmi
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, 21589, Jeddah, Saudi Arabia.
| | - Popat Kumbhar
- Tatyasaheb Kore College of Pharmacy, Warananagar, Tal: Panhala Dist: Kolhapur, Maharashtra 416113, India
| | - John Disouza
- Tatyasaheb Kore College of Pharmacy, Warananagar, Tal: Panhala Dist: Kolhapur, Maharashtra 416113, India
| | - Harish Dureja
- Department of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak 124001, India
| | - Neelima Kukreti
- School of Pharmacy, Graphic Era Hill University, Dehradun 248007, India
| | - Sachin Kumar Singh
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 144411, India; Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Kamal Dua
- Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, NSW 2007, Australia; Discipline of Pharmacy, Graduate School of Health, University of Technology Sydney, NSW 2007, Australia.
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7
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Kistenev YV, Borisov AV, Zasedatel VS, Spirina LV. Diabetes noninvasive diagnostics and monitoring through volatile biomarkers analysis in the exhaled breath using optical absorption spectroscopy. JOURNAL OF BIOPHOTONICS 2023; 16:e202300198. [PMID: 37643222 DOI: 10.1002/jbio.202300198] [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: 05/29/2023] [Revised: 08/22/2023] [Accepted: 08/22/2023] [Indexed: 08/31/2023]
Abstract
The review is aimed on the analysis the abilities of noninvasive diagnostics and monitoring of diabetes mellitus (DM) and DM-associated complications through volatile molecular biomarkers detection in the exhaled breath. The specific biochemical reactions in the body of DM patients and their associations with volatile molecular biomarkers in the breath are considered. The applications of optical spectroscopy methods, including UV, IR, and terahertz spectroscopy for DM-associated volatile molecular biomarkers measurements, are described. The applications of similar technique combined with machine learning methods in DM diagnostics using the profile of DM-associated volatile molecular biomarkers in exhaled air or "pattern-recognition" approach are discussed.
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Affiliation(s)
- Yury V Kistenev
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
- Laboratory for Remote Sensing of the Environment, V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia
| | - Alexey V Borisov
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | - Vyacheslav S Zasedatel
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | - Liudmila V Spirina
- Division of Biochemistry and Molecular Biology, Siberian State Medical University, Tomsk, Russia
- Laboratory of Tumor Biochemistry, Cancer Research Institute, National Research Medical Center, Tomsk, Russia
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Rai D, Pattnaik B, Bangaru S, Tak J, Kumari J, Verma U, Vadala R, Yadav G, Dhaliwal RS, Kumar S, Kumar R, Jain D, Luthra K, Chosdol K, Palanichamy JK, Khan MA, Surendranath A, Mittal S, Tiwari P, Hadda V, Madan K, Agrawal A, Guleria R, Mohan A. microRNAs in exhaled breath condensate for diagnosis of lung cancer in a resource-limited setting: a concise review. Breathe (Sheff) 2023; 19:230125. [PMID: 38351949 PMCID: PMC10862127 DOI: 10.1183/20734735.0125-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 11/30/2023] [Indexed: 02/16/2024] Open
Abstract
Lung cancer is one of the common cancers globally with high mortality and poor prognosis. Most cases of lung cancer are diagnosed at an advanced stage due to limited diagnostic resources. Screening modalities, such as sputum cytology and annual chest radiographs, have not proved sensitive enough to impact mortality. In recent years, annual low-dose computed tomography has emerged as a potential screening tool for early lung cancer detection, but it may not be a feasible option for developing countries. In this context, exhaled breath condensate (EBC) analysis has been evaluated recently as a noninvasive tool for lung cancer diagnosis. The breath biomarkers also have the advantage of differentiating various types and stages of lung cancer. Recent studies have focused more on microRNAs (miRNAs) as they play a key role in tumourigenesis by regulating the cell cycle, metastasis and angiogenesis. In this review, we have consolidated the current published literature suggesting the utility of miRNAs in EBC for the detection of lung cancer.
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Affiliation(s)
- Divyanjali Rai
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Bijay Pattnaik
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Sunil Bangaru
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Jaya Tak
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Jyoti Kumari
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Umashankar Verma
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Rohit Vadala
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Geetika Yadav
- Indian Council of Medical Research, New Delhi, India
| | | | - Sunil Kumar
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - Rakesh Kumar
- Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Deepali Jain
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Kalpana Luthra
- Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | - Kunzang Chosdol
- Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | | | - Maroof Ahmad Khan
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - Addagalla Surendranath
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Saurabh Mittal
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Pawan Tiwari
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Vijay Hadda
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Karan Madan
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Anurag Agrawal
- Trivedi School of Biosciences, Ashoka University, Sonipat, India
| | - Randeep Guleria
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Anant Mohan
- Breathomics in Respiratory Diseases Lab, Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India
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9
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Li Y, Wei X, Zhou Y, Wang J, You R. Research progress of electronic nose technology in exhaled breath disease analysis. MICROSYSTEMS & NANOENGINEERING 2023; 9:129. [PMID: 37829158 PMCID: PMC10564766 DOI: 10.1038/s41378-023-00594-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 10/14/2023]
Abstract
Exhaled breath analysis has attracted considerable attention as a noninvasive and portable health diagnosis method due to numerous advantages, such as convenience, safety, simplicity, and avoidance of discomfort. Based on many studies, exhaled breath analysis is a promising medical detection technology capable of diagnosing different diseases by analyzing the concentration, type and other characteristics of specific gases. In the existing gas analysis technology, the electronic nose (eNose) analysis method has great advantages of high sensitivity, rapid response, real-time monitoring, ease of use and portability. Herein, this review is intended to provide an overview of the application of human exhaled breath components in disease diagnosis, existing breath testing technologies and the development and research status of electronic nose technology. In the electronic nose technology section, the three aspects of sensors, algorithms and existing systems are summarized in detail. Moreover, the related challenges and limitations involved in the abovementioned technologies are also discussed. Finally, the conclusion and perspective of eNose technology are presented.
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Affiliation(s)
- Ying Li
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
- Laboratory of Intelligent Microsystems, Beijing Information Science and Technology University, Beijing, 100192 China
| | - Xiangyang Wei
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
- Laboratory of Intelligent Microsystems, Beijing Information Science and Technology University, Beijing, 100192 China
| | - Yumeng Zhou
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
| | - Jing Wang
- School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, 130022 China
| | - Rui You
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
- Laboratory of Intelligent Microsystems, Beijing Information Science and Technology University, Beijing, 100192 China
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10
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Banga I, Paul A, Poudyal DC, Muthukumar S, Prasad S. Recent Advances in Gas Detection Methodologies with a Special Focus on Environmental Sensing and Health Monitoring Applications─A Critical Review. ACS Sens 2023; 8:3307-3319. [PMID: 37540230 DOI: 10.1021/acssensors.3c00959] [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] [Indexed: 08/05/2023]
Abstract
With the expansion of the Internet-of-Things (IoT), the use of gas sensors in the field of wearable technology, smart devices, and smart homes has increased manifold. These gas sensors have two key applications─one is the detection of gases present in the environment and the other is the detection of Volatile Organic Compounds (VOCs) that are found in the breath. In this review, we focus systematically on the advancements in the field of various spectroscopic methods such as mass spectrometry-based analysis and point-of-care approach to detect VOCs and gases for environmental monitoring and disease diagnosis. Additionally, we highlight the development of smart sensors that work on the principle of electrochemical detection and provide examples of the same through an extensive literature review. At the end of this review, we highlight various challenges and future perspectives.
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Affiliation(s)
- Ivneet Banga
- Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States
| | - Anirban Paul
- Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States
| | - Durgasha C Poudyal
- Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States
| | - Sriram Muthukumar
- Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States
- EnLiSense LLC, 1813 Audubon Pondway, Allen, Texas 75013, United States
| | - Shalini Prasad
- Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States
- EnLiSense LLC, 1813 Audubon Pondway, Allen, Texas 75013, United States
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11
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Mian SA, Hussain A, Basit A, Rahman G, Ahmed E, Jang J. Molecular modeling and simulation of transition metal-doped molybdenum disulfide biomarkers in exhaled gases for early detection of lung cancer. J Mol Model 2023; 29:225. [PMID: 37402994 DOI: 10.1007/s00894-023-05638-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 06/27/2023] [Indexed: 07/06/2023]
Abstract
BACKGROUND The presence of volatile organic compounds (VOCs) in the exhaled breath of lung cancer patients is the only available source for detecting the disease at its initial stage. Exhaled breath analysis depends purely on the performance of the biosensors. The interaction between VOCs and pristine MoS2 is repulsive in nature. Therefore, modifying MoS2 via surficial adsorption of the transition metal nickel is of prime importance. The surficial interaction of six VOCs with Ni-doped MoS2 led to substantial variations in the structural and optoelectronic properties compared to those of the pristine monolayer. The remarkable improvement in the conductivity, thermostability, good sensing response, and recovery time of the sensor exposed to six VOCs revealed that a Ni-doped MoS2 exhibits impressive properties for the detection of exhaled gases. Different temperatures have a significant impact on the recovery time. Humidity has no effect on the detection of exhaled gases upon exposure to VOCs. The obtained results may encourage the use of exhaled breath sensors by experimentalists and oncologists to enable potential advancements in lung cancer detection. METHODS The surface adsorption of transition metal and its interaction with volatile organic compounds on a MoS2 surface was studied by using Spanish Initiative for Electronic Simulations with Thousands of Atoms (SIESTA). The pseudopotentials used in the SIESTA calculations are norm-conserving in their fully nonlocal forms. The atomic orbitals with finite support were used as a basis set, allowing unlimited multiple-zeta and angular momenta, polarization, and off-site orbitals. These basis sets are the key for calculating the Hamiltonian and overlap matrices in O(N) operations. The present hybrid density functional theory (DFT) is a combination of PW92 and RPBE methods. Additionally, the DFT+U approach was employed to accurately ascertain the coulombic repulsion in the transition elements.
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Affiliation(s)
| | - Akbar Hussain
- Department of Physics, University of Peshawar, Peshawar, Pakistan
| | - Abdul Basit
- Department of Physics, University of Peshawar, Peshawar, Pakistan
| | - Gul Rahman
- Institute of Chemical Sciences, University of Peshawar, Peshawar, Pakistan
| | - Ejaz Ahmed
- Department of Physics, Abdul Wali Khan University, Mardan, Pakistan
| | - Joonkyung Jang
- Department of Nano Energy Engineering, Pusan National University, Busan, Republic of Korea.
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12
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Lagopati N, Valamvanos TF, Proutsou V, Karachalios K, Pippa N, Gatou MA, Vagena IA, Cela S, Pavlatou EA, Gazouli M, Efstathopoulos E. The Role of Nano-Sensors in Breath Analysis for Early and Non-Invasive Disease Diagnosis. CHEMOSENSORS 2023; 11:317. [DOI: 10.3390/chemosensors11060317] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/11/2023]
Abstract
Early-stage, precise disease diagnosis and treatment has been a crucial topic of scientific discussion since time immemorial. When these factors are combined with experience and scientific knowledge, they can benefit not only the patient, but also, by extension, the entire health system. The development of rapidly growing novel technologies allows for accurate diagnosis and treatment of disease. Nanomedicine can contribute to exhaled breath analysis (EBA) for disease diagnosis, providing nanomaterials and improving sensing performance and detection sensitivity. Through EBA, gas-based nano-sensors might be applied for the detection of various essential diseases, since some of their metabolic products are detectable and measurable in the exhaled breath. The design and development of innovative nanomaterial-based sensor devices for the detection of specific biomarkers in breath samples has emerged as a promising research field for the non-invasive accurate diagnosis of several diseases. EBA would be an inexpensive and widely available commercial tool that could also be used as a disease self-test kit. Thus, it could guide patients to the proper specialty, bypassing those expensive tests, resulting, hence, in earlier diagnosis, treatment, and thus a better quality of life. In this review, some of the most prevalent types of sensors used in breath-sample analysis are presented in parallel with the common diseases that might be diagnosed through EBA, highlighting the impact of incorporating new technological achievements in the clinical routine.
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Affiliation(s)
- Nefeli Lagopati
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
| | - Theodoros-Filippos Valamvanos
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Vaia Proutsou
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Konstantinos Karachalios
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Natassa Pippa
- Section of Pharmaceutical Technology, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, 15771 Athens, Greece
| | - Maria-Anna Gatou
- Laboratory of General Chemistry, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 15772 Athens, Greece
| | - Ioanna-Aglaia Vagena
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Smaragda Cela
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Evangelia A. Pavlatou
- Laboratory of General Chemistry, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 15772 Athens, Greece
| | - Maria Gazouli
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- School of Science and Technology, Hellenic Open University, 26335 Patra, Greece
| | - Efstathios Efstathopoulos
- Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
- School of Science and Technology, Hellenic Open University, 26335 Patra, Greece
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13
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P H, Rangarajan M, Pandya HJ. Breath VOC analysis and machine learning approaches for disease screening: a review. J Breath Res 2023; 17. [PMID: 36634360 DOI: 10.1088/1752-7163/acb283] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/12/2023] [Indexed: 01/14/2023]
Abstract
Early disease detection is often correlated with a reduction in mortality rate and improved prognosis. Currently, techniques like biopsy and imaging that are used to screen chronic diseases are invasive, costly or inaccessible to a large population. Thus, a non-invasive disease screening technology is the need of the hour. Existing non-invasive methods like gas chromatography-mass spectrometry, selected-ion flow-tube mass spectrometry, and proton transfer reaction-mass-spectrometry are expensive. These techniques necessitate experienced operators, making them unsuitable for a large population. Various non-invasive sources are available for disease detection, of which exhaled breath is preferred as it contains different volatile organic compounds (VOCs) that reflect the biochemical reactions in the human body. Disease screening by exhaled breath VOC analysis can revolutionize the healthcare industry. This review focuses on exhaled breath VOC biomarkers for screening various diseases with a particular emphasis on liver diseases and head and neck cancer as examples of diseases related to metabolic disorders and diseases unrelated to metabolic disorders, respectively. Single sensor and sensor array-based (Electronic Nose) approaches for exhaled breath VOC detection are briefly described, along with the machine learning techniques used for pattern recognition.
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Affiliation(s)
- Haripriya P
- Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore 560012, India
| | - Madhavan Rangarajan
- Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore 560012, India
| | - Hardik J Pandya
- Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore 560012, India.,Centre for Product Design and Manufacturing, Indian Institute of Science, Bangalore 560012, India
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14
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Mashhadbani M, Faizabadi E. Early detection of lung cancer biomarkers in exhaled breath by modified armchair stanene nanoribbons. Phys Chem Chem Phys 2023; 25:3875-3889. [PMID: 36647633 DOI: 10.1039/d2cp04940f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
In this study, we analyze armchair stanene nanoribbons as excellent sensing substances for the early diagnosis of lung cancer using density functional theory and the non-equilibrium Green function. Four modified configurations of surface- and edge-defected armchair stanene nanoribbons were studied to improve the sensing performance. Our probes indicated that the adsorption energy of armchair stanene nanoribbons is at least five times greater than that of other previously reported substances, such as single-wall carbon nanotubes, phosphorene, and silicene. A noticeable reduction in the current was observed, implying the high sensitivity of our sensing configurations. The adsorption energy and current results suggest that configurations with a single vacancy and edge defects improve the sensitivity and selectivity of the system because of their free dangling bonds. The calculated results demonstrate that the both-side edge defected armchair stanene nanoribbons reduce the adsorption energy to -8.35 eV and increase the sensitivity up to 45% for toluene detection. This reduction in adsorption energy and the surge of sensitivity shows ultra-high sensing performance, yielding a more efficient structure for the future design of early-diagnosis lung cancer sensing applications, thus improving lung cancer patients' survival and life expectancy.
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15
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Swinarew AS, Gabor J, Kusz B, Skoczyński S, Raif P, Skoczylas I, Jonas K, Grabka M, Mizia-Szubryt M, Bula K, Stanula A, Mika B, Tkacz E, Paluch J, Gąsior M, Kopeć G, Mizia-Stec K. Exhaled Air Metabolome Analysis for Pulmonary Arterial Hypertension Fingerprints Identification-The Preliminary Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:503. [PMID: 36612835 PMCID: PMC9819134 DOI: 10.3390/ijerph20010503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/19/2022] [Accepted: 12/22/2022] [Indexed: 06/17/2023]
Abstract
Pulmonary arterial hypertension (PAH) is a rare disease with a serious prognosis. The aim of this study was to identify biomarkers for PAH in the breath phase and to prepare an automatic classification method to determine the changing metabolome trends and molecular mapping. A group of 37 patients (F/M: 8/29 women, mean age 60.4 ± 10.9 years, BMI 27.6 ± 6.0 kg/m2) with diagnosed PAH were enrolled in the study. The breath phase of all the patients was collected on a highly porous septic material using a special patented holder PL230578, OHIM 002890789-0001. The collected air was then examined with gas chromatography coupled with mass spectrometry (GC/MS). The algorithms of Spectral Clustering, KMeans, DBSCAN, and hierarchical clustering methods were used to perform the cluster analysis. The identification of the changes in the ratio of the whole spectra of biomarkers allowed us to obtain a multidimensional pathway for PAH characteristics and showed the metabolome differences in the four subgroups divided by the cluster analysis. The use of GC/MS, supported with novel porous polymeric materials, for the breath phase analysis seems to be a useful tool in selecting bio-fingerprints in patients with PAH. The four metabolome classes which were obtained constitute novel data in the PAH population.
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Affiliation(s)
- Andrzej S. Swinarew
- Faculty of Science and Technology, University of Silesia in Katowice, 41-500 Chorzów, Poland
- Department of Swimming and Water Rescue, Institute of Sport Science, The Jerzy Kukuczka Academy of Physical Education, 40-065 Katowice, Poland
| | - Jadwiga Gabor
- Faculty of Science and Technology, University of Silesia in Katowice, 41-500 Chorzów, Poland
| | - Błażej Kusz
- First Department of Cardiology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland
| | - Szymon Skoczyński
- Department of Pneumonology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland
| | - Paweł Raif
- Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, 41-800 Zabrze, Poland
| | - Ilona Skoczylas
- 3rd Department of Cardiology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 41-800 Katowice, Poland
| | - Kamil Jonas
- Pulmonary Circulation Centre, Department of Cardiac and Vascular Diseases, Jagiellonian University Medical College, John Paul II Hospital in Krakow, 31-349 Kraków, Poland
| | - Marek Grabka
- First Department of Cardiology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland
| | - Magdalena Mizia-Szubryt
- First Department of Cardiology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland
| | - Karolina Bula
- First Department of Cardiology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland
| | - Arkadiusz Stanula
- Department of Swimming and Water Rescue, Institute of Sport Science, The Jerzy Kukuczka Academy of Physical Education, 40-065 Katowice, Poland
| | - Barbara Mika
- Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, 41-800 Zabrze, Poland
| | - Ewaryst Tkacz
- Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, 41-800 Zabrze, Poland
| | - Jarosław Paluch
- Department of ENT, Faculty of Medical Sciences in Katowice, Medical University Silesia, 40-055 Katowice, Poland
| | - Mariusz Gąsior
- 3rd Department of Cardiology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 41-800 Katowice, Poland
| | - Grzegorz Kopeć
- Pulmonary Circulation Centre, Department of Cardiac and Vascular Diseases, Jagiellonian University Medical College, John Paul II Hospital in Krakow, 31-349 Kraków, Poland
| | - Katarzyna Mizia-Stec
- First Department of Cardiology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-055 Katowice, Poland
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Chung J, Akter S, Han S, Shin Y, Choi TG, Kang I, Kim SS. Diagnosis by Volatile Organic Compounds in Exhaled Breath in Exhaled Breath from Patients with Gastric and Colorectal Cancers. Int J Mol Sci 2022; 24:ijms24010129. [PMID: 36613569 PMCID: PMC9820758 DOI: 10.3390/ijms24010129] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/15/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
One in three cancer deaths worldwide are caused by gastric and colorectal cancer malignancies. Although the incidence and fatality rates differ significantly from country to country, the rates of these cancers in East Asian nations such as South Korea and Japan have been increasing each year. Above all, the biggest danger of this disease is how challenging it is to recognize in its early stages. Moreover, most patients with these cancers do not present with any disease symptoms before receiving a definitive diagnosis. Currently, volatile organic compounds (VOCs) are being used for the early prediction of several other diseases, and research has been carried out on these applications. Exhaled VOCs from patients possess remarkable potential as novel biomarkers, and their analysis could be transformative in the prevention and early diagnosis of colon and stomach cancers. VOCs have been spotlighted in recent studies due to their ease of use. Diagnosis on the basis of patient VOC analysis takes less time than methods using gas chromatography, and results in the literature demonstrate that it is possible to determine whether a patient has certain diseases by using organic compounds in their breath as indicators. This study describes how VOCs can be used to precisely detect cancers; as more data are accumulated, the accuracy of this method will increase, and it can be applied in more fields.
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Affiliation(s)
- Jinwook Chung
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Salima Akter
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Sunhee Han
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Yoonhwa Shin
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Tae Gyu Choi
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Insug Kang
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
- Correspondence: (I.K.); (S.S.K.); Tel.: +82-2-961-0524 (S.S.K.)
| | - Sung Soo Kim
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
- Correspondence: (I.K.); (S.S.K.); Tel.: +82-2-961-0524 (S.S.K.)
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Jongkhumkrong J, Thaveesangsakulthai I, Sukbangnop W, Kulsing C, Sooksimuang T, Aonbangkhen C, Sahasithiwat S, Sriprasart T, Palaga T, Chantaravisoot N, Tomapatanaget B. Helicene-Hydrazide Encapsulated Ethyl Cellulose as a Potential Fluorescence Sensor for Highly Specific Detection of Nonanal in Aqueous Solutions and a Proof-of-Concept Clinical Study in Lung Fluid. ACS APPLIED MATERIALS & INTERFACES 2022; 14:49495-49507. [PMID: 36301188 DOI: 10.1021/acsami.2c11064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Over the past years, lung cancer has been one of the vital cancer-related mortalities worldwide and has inevitably exhibited the highest death rate with the subsequent need for facile and convenient diagnosis approaches to identify the severity of cancer. Previous research has reported long-chain aldehyde compounds such as hexanal, heptanal, octanal, and nonanal as potential biomarkers of lung cancer. Herein, the helicene dye-encapsulated ethyl cellulose (EC@dye-NH) nanosensors have been applied for the potentially sensitive and specific detection of long-chain aldehydes in aqueous media. The sensors contain the intrinsic hydrazide group of dye-NH, which is capable of reacting an aldehyde group via imine formation and the EC backbone. This offers the synergistic forces of hydrophobic interactions with alkyl long-chain aldehydes, which could induce self-assembly encapsulation of EC@dye-NH nanosensors and strong fluorescence responses. The addition of long-chain aldehyde would induce the complete micellar-like nanoparticle formation within 15 min in acetate buffer pH 5.0. The limit of detection (LOD) values of EC@dye-NH nanosensors toward heptanal, octanal, and nonanal were 40, 100, and 10 μM, respectively, without interference from the lung fluid matrices and short-chain aldehydes. For practical applicability, this sensing platform was developed for quantification of the long-chain aldehydes in lung fluid samples with 98-101% recoveries. This EC@dye-NH nanosensor was applied to quantify nonanal contents in lung fluid samples. The results of this method based on EC@dye-NH nanosensors were then validated using standard gas chromatography-mass spectrometry (GC-MS), which gave results consistent with the proposed method. With intracellular imaging application, the EC@dye-NH nanosensors demonstrated excellent intracellular uptake and strong green fluorescence emission upon introducing the nonanal into the lung cancer cells (A549). Thus, the developed nanosensing approach served as the potential fluorescent probes in medical and biological fields, especially for lung cancer disease diagnosis based on highly selective and sensitive detection of long-chain aldehydes.
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Affiliation(s)
- Jinnawat Jongkhumkrong
- Supramolecular Research Unit, Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok10330, Thailand
| | | | - Wannee Sukbangnop
- National Metal and Materials Technology Center (MTEC), National Science and Technology Development Agency (NSTDA), 114 Thailand Science Park, Phahonyothin Road, Khlong Luang, Pathum Thani12120, Thailand
| | - Chadin Kulsing
- Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok10330, Thailand
| | - Thanasat Sooksimuang
- National Metal and Materials Technology Center (MTEC), National Science and Technology Development Agency (NSTDA), 114 Thailand Science Park, Phahonyothin Road, Khlong Luang, Pathum Thani12120, Thailand
| | - Chanat Aonbangkhen
- Center of Excellence in Natural Products Chemistry (CENP), Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok10330, Thailand
| | - Somboon Sahasithiwat
- National Metal and Materials Technology Center (MTEC), National Science and Technology Development Agency (NSTDA), 114 Thailand Science Park, Phahonyothin Road, Khlong Luang, Pathum Thani12120, Thailand
| | - Thitiwat Sriprasart
- Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok10330, Thailand
| | - Tanapat Palaga
- Center of Excellence in Materials and Bio-interfaces, Department of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok10330, Thailand
| | - Naphat Chantaravisoot
- Department of Biochemistry, Chulalongkorn University Faculty of Medicine, Bangkok10330, Thailand
| | - Boosayarat Tomapatanaget
- Supramolecular Research Unit, Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok10330, Thailand
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MATSUMORI SEI, HASHIMOTO TAKASHI, NASU MOTOMI, KAGA NAOKO, TAKA HIKARI, FUJIMURA TSUTOMU, UENO TAKASHI, MIURA YOSHIKI, KAJIYAMA YOSHIAKI. Development of a Non-invasive Diagnostic Method for Esophageal Squamous Cell Carcinoma by Gas Chromatographic Analysis of Exhaled Breath. JUNTENDO IJI ZASSHI = JUNTENDO MEDICAL JOURNAL 2022; 68:499-504. [PMID: 39081580 PMCID: PMC11284284 DOI: 10.14789/jmj.jmj22-0023-oa] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/08/2022] [Indexed: 08/02/2024]
Abstract
Objectives Since esophageal carcinoma progresses asymptomatically, for many patients the disease is already advanced at the time of diagnosis. The main methods that are currently used to diagnose esophageal carcinoma are upper gastrointestinal radiographic contrast examinations and upper gastrointestinal endoscopy, but early discovery of this disease remains difficult. There is a need to develop a diagnostic method using biomarkers that is non-invasive while both highly sensitive and specific. Materials and Methods Exhaled breath was collected from 17 patients with esophageal squamous cell carcinoma (ESCC), as well as 9 control subjects without history of any cancer. For each fasting subject, 1L of exhaled breath was collected in a gas sampling bag. Volatile organic compounds (VOCs) were then extracted from each sample using Solid phase micro-extraction (SPME) fibers and analyzed by gas chromatography-mass spectrometry (GC-MS). Results Levels of acetonitrile, acetic acid, acetone, and 2-butanone in exhaled breath were significantly higher in the patient group than in the control group (p = 0.0037, 0.0024, 0.0024 and 0.0037, respectively). ROC curves were drawn for these 4 VOCs, and the results for the area-under-the-curve (AUC) indicated that ESCC patients can be identified with a high probability of 0.93. Conclusion We found distinctive VOCs in exhaled breath of ESCC patients. These VOCs have a potential as new clinical biomarkers for ESCC. The measurement of VOCs in exhaled breath may be a useful, non-invasive method for diagnosis of ESCC.
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Affiliation(s)
| | - TAKASHI HASHIMOTO
- Corresponding author: Takashi Hashimoto, Department of Esophageal and Gastroenterological Surgery, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo 113-8421, Japan, TEL: +81-3-3813-3111 FAX: +81-3-5802-1951 E-mail:
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Gong X, Shi S, Zhang D, Gamez G. Quantitative Analysis of Exhaled Breath Collected on Filter Substrates via Low-Temperature Plasma Desorption/Ionization Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2022; 33:1518-1529. [PMID: 35792104 DOI: 10.1021/jasms.2c00109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Breath analysis has attracted increasing attention in recent years due to its great potential for disease diagnostics at early stages and for clinical drug monitoring. There are several recent examples of successful development of real-time, in vivo quantitative analysis of exhaled breath metabolites via mass spectrometry. On the other hand, current mass spectrometer accessibility limitations restrict point-of-care applications. Here now, an offline method is developed for quantitative analysis of exhaled breath collected on inexpensive filter substrates for direct desorption and ionization by using low-temperature plasma-mass spectrometry (LTP-MS). In particular, different operating conditions of the ionization source were systematically studied to optimize desorption/ionization by using glycerol, a low volatility compound. Applications with respect to propofol, γ-valprolactone, and nicotine analysis in exhaled breath are demonstrated in this study. The effects of several filter substrate properties, including filter material and pore size, on the analyte signal were characterized. Cellulose filter papers performed best with the present analytes. In addition, filters with smaller pores enabled a more efficient sample collection. Furthermore, sample-collection flow rate was determined to have a very significant effect, with slower flow rates yielding the best results. It was also found that filters loaded with sample can be successfully stored in glass vials with no observable sample loss even after 3 days. Limits of detection under optimized conditions are shown to be competitive or significantly better compared with relevant techniques and with additional benefits of cost-efficiency and sample storage capabilities.
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Affiliation(s)
- Xiaoxia Gong
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, United States
| | - Songyue Shi
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, United States
| | - Dong Zhang
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, United States
| | - Gerardo Gamez
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, United States
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20
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Aasi A, Aasi E, Mehdi Aghaei S, Panchapakesan B. Green Phosphorene as a Promising Biosensor for Detection of Furan and p-Xylene as Biomarkers of Disease: A DFT Study. SENSORS 2022; 22:s22093178. [PMID: 35590868 PMCID: PMC9103649 DOI: 10.3390/s22093178] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/18/2022] [Accepted: 04/19/2022] [Indexed: 02/07/2023]
Abstract
In this work, Green Phosphorene (GP) monolayers are studied as an electronic sensing element for detecting prostate cancer biomarkers from human urine. The adsorption of furan, C8H10 (p-xylene), and H2O on pristine GP and S- and Si-doped GP are investigated using the density functional theory (DFT) calculation. Furan and C8H10 molecules have been considered as important biomarkers of prostate cancer patients. First-principles DFT calculations are applied, and the results divulged that pristine GP could be a promising candidate for furan and C8H10 detection. It is manifested that furan and C8H10 are physisorbed on the S-, and Si-doped GP with small adsorption energy and negligible charge transfer. However, the calculations disclose that furan and C8H10 are chemically adsorbed on the pristine GP with adsorption energy of −0.73, and −1.46 eV, respectively. Moreover, we observe that a large charge is transferred from furan to the pristine GP with amount of −0.106 e. Additionally, pristine GP shows short recovery time of 1.81 s at room temperature under the visible light, which make it a reusable sensor device. Overall, our findings propose that the pristine GP sensor is a remarkable candidate for sensing of furan and other biomarkers of prostate cancer in the urine of patients.
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Affiliation(s)
- Aref Aasi
- Small Systems Laboratory, Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA; (S.M.A.); (B.P.)
- Correspondence:
| | - Erfan Aasi
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA;
| | - Sadegh Mehdi Aghaei
- Small Systems Laboratory, Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA; (S.M.A.); (B.P.)
| | - Balaji Panchapakesan
- Small Systems Laboratory, Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA; (S.M.A.); (B.P.)
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21
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Velusamy P, Su CH, Ramasamy P, Arun V, Rajnish N, Raman P, Baskaralingam V, Senthil Kumar SM, Gopinath SCB. Volatile Organic Compounds as Potential Biomarkers for Noninvasive Disease Detection by Nanosensors: A Comprehensive Review. Crit Rev Anal Chem 2022; 53:1828-1839. [PMID: 35201946 DOI: 10.1080/10408347.2022.2043145] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Biomarkers are biological molecules associated with physiological changes of the body and aids in the detecting the onset of disease in patients. There is an urgent need for self-monitoring and early detection of cardiovascular and other health complications. Several blood-based biomarkers have been well established in diagnosis and monitoring the onset of diseases. However, the detection level of biomarkers in bed-side analysis is difficult and complications arise due to the endothelial dysfunction. Currently single volatile organic compounds (VOCs) based sensors are available for the detection of human diseases and no dedicated nanosensor is available for the elderly. Moreover, accuracy of the sensors based on a single analyte is limited. Hence, breath analysis has received enormous attention in healthcare due to its relatively inexpensive, rapid, and noninvasive methods for detecting diseases. This review gives a detailed analysis of how biomarker imprinted nanosensor can be used as a noninvasive method for detecting VOC to health issues early using exhaled breath analysis.
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Affiliation(s)
- Palaniyandi Velusamy
- Research and Development Wing, Sree Balaji Medical College and Hospital (SBMCH), Bharath Institute of Higher Education and Research (BIHER), Chennai, Tamil Nadu, India
| | - Chia-Hung Su
- Department of Chemical Engineering, Ming Chi University of Technology, Taishan, Taipei, Taiwan
| | - Palaniappan Ramasamy
- Research and Development Wing, Sree Balaji Medical College and Hospital (SBMCH), Bharath Institute of Higher Education and Research (BIHER), Chennai, Tamil Nadu, India
| | - Viswanathan Arun
- Department of Biotechnology SRFBMST, Sri Ramachandra Institute of Higher Education & Research, Chennai, Tamil Nadu, India
| | - Narayanan Rajnish
- Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
| | - Pachaiappan Raman
- Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
| | - Vaseeharan Baskaralingam
- Nanobiosciences and Nanopharmacology Division, Biomaterials and Biotechnology in Animal Health Lab, Department of Animal Health and Management, Alagappa University, Karaikudi, Tamil Nadu, India
| | - Sakkarapalayam Murugesan Senthil Kumar
- Electroorganic and Materials Electrochemistry Division, CSIR-Central Electrochemical Research Institute, Karaikudi, Tamil Nadu, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Subash C B Gopinath
- Faculty of Chemical Engineering Technology and Institute of Nano Electronic Engineering, Universiti Malaysia Perlis, Arau, Perlis, Malaysia
- Centre of Excellence for Nanobiotechnology and Nanomedicine (CoExNano), Faculty of Applied Sciences, AIMST University, Semeling, Kedah, Malaysia
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22
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Issitt T, Wiggins L, Veysey M, Sweeney S, Brackenbury W, Redeker K. Volatile compounds in human breath: critical review and meta-analysis. J Breath Res 2022; 16. [PMID: 35120340 DOI: 10.1088/1752-7163/ac5230] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 02/04/2022] [Indexed: 11/12/2022]
Abstract
Volatile compounds contained in human breath reflect the inner workings of the body. A large number of studies have been published that link individual components of breath to disease, but diagnostic applications remain limited, in part due to inconsistent and conflicting identification of breath biomarkers. New approaches are therefore required to identify effective biomarker targets. Here, volatile organic compounds have been identified in the literature from four metabolically and physiologically distinct diseases and grouped into chemical functional groups (e.g. - methylated hydrocarbons or aldehydes; based on known metabolic and enzymatic pathways) to support biomarker discovery and provide new insight on existing data. Using this functional grouping approach, principal component analysis doubled explanatory capacity from 19.1% to 38% relative to single individual compound approaches. Random forest and linear discriminant analysis reveal 93% classification accuracy for cancer. This review and meta-analysis provides insight for future research design by identifying volatile functional groups associated with disease. By incorporating our understanding of the complexities of the human body, along with accounting for variability in methodological and analytical approaches, this work demonstrates that a suite of targeted, functional volatile biomarkers, rather than individual biomarker compounds, will improve accuracy and success in diagnostic research and application.
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Affiliation(s)
- Theo Issitt
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Laura Wiggins
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Martin Veysey
- The University of Newcastle, School of Medicine & Public Health, Callaghan, New South Wales, 2308, AUSTRALIA
| | - Sean Sweeney
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - William Brackenbury
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Kelly Redeker
- Biology, University of York, Biology Dept. University of York, York, York, North Yorkshire, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
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23
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Fois SS, Canu S, Fois AG. The Role of Oxidative Stress in Sarcoidosis. Int J Mol Sci 2021; 22:ijms222111712. [PMID: 34769145 PMCID: PMC8584035 DOI: 10.3390/ijms222111712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 10/24/2021] [Accepted: 10/26/2021] [Indexed: 01/15/2023] Open
Abstract
Sarcoidosis is a rare, systemic inflammatory disease whose diagnosis and management can pose a challenge for clinicians and specialists. Scientific knowledge on the molecular pathways that drive its development is still lacking, with no standardized therapies available and insufficient strategies to predict patient outcome. In recent years, oxidative stress has been highlighted as an important factor in the pathogenesis of sarcoidosis, involving several enzymes and molecules in the mechanism of the disease. This review presents current data on the role of oxidative stress in sarcoidosis and its interaction with inflammation, as well as the application of antioxidative therapy in the disease.
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Affiliation(s)
- Sara Solveig Fois
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Viale San Pietro 43, 07100 Sassari, Italy;
- Correspondence:
| | - Sara Canu
- Respiratory Diseases Operative Unit, University Hospital of Sassari, 07100 Sassari, Italy;
| | - Alessandro Giuseppe Fois
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Viale San Pietro 43, 07100 Sassari, Italy;
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24
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Detection of volatile organic compounds from human prostate cancer cell using canine olfaction. J Vet Behav 2021. [DOI: 10.1016/j.jveb.2021.10.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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25
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Hüppe T, Lorenz D, Maurer F, Fink T, Klumpp R, Kreuer S. Quantification of Volatile Acetone Oligomers Using Ion-Mobility Spectrometry. JOURNAL OF ANALYTICAL METHODS IN CHEMISTRY 2021; 2021:6638036. [PMID: 34395017 PMCID: PMC8355975 DOI: 10.1155/2021/6638036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 07/27/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Volatile acetone is a potential biomarker that is elevated in various disease states. Measuring acetone in exhaled breath is complicated by the fact that the molecule might be present as both monomers and dimers, but in inconsistent ratios. Ignoring the molecular form leads to incorrect measured concentrations. Our first goal was to evaluate the monomer-dimer ratio in ambient air, critically ill patients, and rats. Our second goal was to confirm the accuracy of the combined (monomer and dimer) analysis by comparison to a reference calibration system. METHODS Volatile acetone intensities from exhaled air of ten intubated, critically ill patients, and ten ventilated Sprague-Dawley rats were recorded using ion-mobility spectrometry. Acetone concentrations in ambient air in an intensive care unit and in a laboratory were determined over 24 hours. The calibration reference was pure acetone vaporized by a gas generator at concentrations from 5 to 45 ppbv (parts per billion by volume). RESULTS Acetone concentrations in ambient laboratory air were only slightly greater (5.6 ppbv; 95% CI 5.1-6.2) than in ambient air in an intensive care unit (5.1 ppbv; 95% CI 4.4-5.5; p < 0.001). Exhaled acetone concentrations were only slightly greater in rats (10.3 ppbv; 95% CI 9.7-10.9) than in critically ill patients (9.5 ppbv; 95% CI 7.9-11.1; p < 0.001). Vaporization yielded acetone monomers (1.3-5.3 mV) and dimers (1.4-621 mV). Acetone concentrations (ppbv) and corresponding acetone monomer and dimer intensities (mV) revealed a high coefficient of determination (R 2 = 0.96). The calibration curve for acetone concentration (ppbv) and total acetone (monomers added to twice the dimers; mV) was described by the exponential growth 3-parameter model, with an R 2 = 0.98. CONCLUSION The ratio of acetone monomer and dimer is inconsistent and varies in ambient air from place-to-place and across individual humans and rats. Monomers and dimers must therefore be considered when quantifying acetone. Combining the two accurately assesses total volatile acetone.
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Affiliation(s)
- Tobias Hüppe
- Center of Breath Research, Department of Anaesthesiology, Intensive Care and Pain Therapy, Saarland University Medical Center, Homburg, Saarland 66424, Germany
| | - Dominik Lorenz
- Center of Breath Research, Department of Anaesthesiology, Intensive Care and Pain Therapy, Saarland University Medical Center, Homburg, Saarland 66424, Germany
| | - Felix Maurer
- Center of Breath Research, Department of Anaesthesiology, Intensive Care and Pain Therapy, Saarland University Medical Center, Homburg, Saarland 66424, Germany
| | - Tobias Fink
- Center of Breath Research, Department of Anaesthesiology, Intensive Care and Pain Therapy, Saarland University Medical Center, Homburg, Saarland 66424, Germany
| | - Ramona Klumpp
- Center of Breath Research, Department of Anaesthesiology, Intensive Care and Pain Therapy, Saarland University Medical Center, Homburg, Saarland 66424, Germany
| | - Sascha Kreuer
- Center of Breath Research, Department of Anaesthesiology, Intensive Care and Pain Therapy, Saarland University Medical Center, Homburg, Saarland 66424, Germany
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26
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Diana Zhang J, Baker MJ, Liu Z, Mohibul Kabir KM, Kolachalama VB, Yates DH, Donald WA. Medical diagnosis at the point-of-care by portable high-field asymmetric waveform ion mobility spectrometry: a systematic review and meta-analysis. J Breath Res 2021; 15:10.1088/1752-7163/ac135e. [PMID: 34252887 PMCID: PMC10422980 DOI: 10.1088/1752-7163/ac135e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/12/2021] [Indexed: 12/30/2022]
Abstract
Non-invasive medical diagnosis by analysing volatile organic compounds (VOCs) at the point-of-care is becoming feasible owing to recent advances in portable instrumentation. A number of studies have assessed the performance of a state-of-the-art VOC analyser (micro-chip high-field asymmetric waveform ion mobility spectrometry, FAIMS) for medical diagnosis. However, a comprehensive meta-analysis is needed to investigate the overall diagnostic performance of these novel methods across different medical conditions. An electronic search was performed using the CAplus and MEDLINE database through the SciFinder platform. The review identified a total of 23 studies and 2312 individuals. Eighteen studies were used for meta-analysis. A pooled analysis found an overall sensitivity of 80% (95% CI, 74%-85%,I2= 62%), and specificity of 78% (95% CI, 70%-84%,I2= 80%), which corresponds to the overall diagnostic performance of micro-chip FAIMS across many different medical conditions. The diagnostic accuracy was particularly high for coeliac and inflammatory bowel disease (sensitivity and specificity from 74% to 97%). The overall diagnostic performance was similar across breath, urine, and faecal matrices with sparse logistic regression and random forests algorithms resulting in higher diagnostic accuracy. Sources of variability likely arise from differences in sample storage, sampling protocol, method of data analysis, type of disease, sample matrix, and potentially to clinical and disease factors. The results of this meta-analysis indicate that micro-chip FAIMS is a promising candidate for disease screening at the point-of-care, particularly for gastroenterology diseases. This review provides recommendations that should improve the techniques relevant to diagnostic accuracy of future VOC and point-of-care studies.
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Affiliation(s)
- J Diana Zhang
- School of Chemistry, University of New South Wales, Sydney, Australia
| | - Merryn J Baker
- School of Chemistry, University of New South Wales, Sydney, Australia
| | - Zhixin Liu
- Stats Central, University of New South Wales, Sydney, Australia
| | - K M Mohibul Kabir
- School of Chemistry, University of New South Wales, Sydney, Australia
| | - Vijaya B Kolachalama
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Department of Computer Science and Faculty of Computing and Data Sciences, Boston University, Boston, MA, United States of America
| | - Deborah H Yates
- Department of Thoracic Medicine, St Vincent’s Hospital and St Vincent’s Clinical School, UNSW Sydney, Sydney, Australia
| | - William A Donald
- School of Chemistry, University of New South Wales, Sydney, Australia
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27
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Deciphering Exhaled Aerosol Fingerprints for Early Diagnosis and Personalized Therapeutics of Obstructive Respiratory Diseases in Small Airways. JOURNAL OF NANOTHERANOSTICS 2021. [DOI: 10.3390/jnt2030007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Respiratory diseases often show no apparent symptoms at their early stages and are usually diagnosed when permanent damages have been made to the lungs. A major site of lung pathogenesis is the small airways, which make it highly challenging to detect using current techniques due to the diseases’ location (inaccessibility to biopsy) and size (below normal CT/MRI resolution). In this review, we present a new method for lung disease detection and treatment in small airways based on exhaled aerosols, whose patterns are uniquely related to the health of the lungs. Proof-of-concept studies are first presented in idealized lung geometries. We subsequently describe the recent developments in feature extraction and classification of the exhaled aerosol images to establish the relationship between the images and the underlying airway remodeling. Different feature extraction algorithms (aerosol density, fractal dimension, principal mode analysis, and dynamic mode decomposition) and machine learning approaches (support vector machine, random forest, and convolutional neural network) are elaborated upon. Finally, future studies and frequent questions related to clinical applications of the proposed aerosol breath testing are discussed from the authors’ perspective. The proposed breath testing has clinical advantages over conventional approaches, such as easy-to-perform, non-invasive, providing real-time feedback, and is promising in detecting symptomless lung diseases at early stages.
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28
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Jaeschke C, Padilla M, Glöckler J, Polaka I, Leja M, Veliks V, Mitrovics J, Leja M, Mizaikoff B. Modular Breath Analyzer (MBA): Introduction of a Breath Analyzer Platform Based on an Innovative and Unique, Modular eNose Concept for Breath Diagnostics and Utilization of Calibration Transfer Methods in Breath Analysis Studies. Molecules 2021; 26:3776. [PMID: 34205805 PMCID: PMC8235513 DOI: 10.3390/molecules26123776] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/11/2021] [Accepted: 06/14/2021] [Indexed: 11/17/2022] Open
Abstract
Exhaled breath analysis for early disease detection may provide a convenient method for painless and non-invasive diagnosis. In this work, a novel, compact and easy-to-use breath analyzer platform with a modular sensing chamber and direct breath sampling unit is presented. The developed analyzer system comprises a compact, low volume, temperature-controlled sensing chamber in three modules that can host any type of resistive gas sensor arrays. Furthermore, in this study three modular breath analyzers are explicitly tested for reproducibility in a real-life breath analysis experiment with several calibration transfer (CT) techniques using transfer samples from the experiment. The experiment consists of classifying breath samples from 15 subjects before and after eating a specific meal using three instruments. We investigate the possibility to transfer calibration models across instruments using transfer samples from the experiment under study, since representative samples of human breath at some conditions are difficult to simulate in a laboratory. For example, exhaled breath from subjects suffering from a disease for which the biomarkers are mostly unknown. Results show that many transfer samples of all the classes under study (in our case meal/no meal) are needed, although some CT methods present reasonably good results with only one class.
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Affiliation(s)
- Carsten Jaeschke
- Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Albert-Einstein-Allee 11, 89081 Ulm, Germany; (C.J.); (J.G.)
| | - Marta Padilla
- JLM Innovation GmbH, Vor dem Kreuzberg 17, 72070 Tuebingen, Germany; (M.P.); (J.M.)
| | - Johannes Glöckler
- Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Albert-Einstein-Allee 11, 89081 Ulm, Germany; (C.J.); (J.G.)
| | - Inese Polaka
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1079 Riga, Latvia; (I.P.); (M.L.); (V.V.); (M.L.)
| | - Martins Leja
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1079 Riga, Latvia; (I.P.); (M.L.); (V.V.); (M.L.)
| | - Viktors Veliks
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1079 Riga, Latvia; (I.P.); (M.L.); (V.V.); (M.L.)
| | - Jan Mitrovics
- JLM Innovation GmbH, Vor dem Kreuzberg 17, 72070 Tuebingen, Germany; (M.P.); (J.M.)
| | - Marcis Leja
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1079 Riga, Latvia; (I.P.); (M.L.); (V.V.); (M.L.)
| | - Boris Mizaikoff
- Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Albert-Einstein-Allee 11, 89081 Ulm, Germany; (C.J.); (J.G.)
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29
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Monedeiro F, Monedeiro-Milanowski M, Ratiu IA, Brożek B, Ligor T, Buszewski B. Needle Trap Device-GC-MS for Characterization of Lung Diseases Based on Breath VOC Profiles. Molecules 2021; 26:molecules26061789. [PMID: 33810121 PMCID: PMC8004837 DOI: 10.3390/molecules26061789] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 03/16/2021] [Accepted: 03/19/2021] [Indexed: 01/08/2023] Open
Abstract
Volatile organic compounds (VOCs) have been assessed in breath samples as possible indicators of diseases. The present study aimed to quantify 29 VOCs (previously reported as potential biomarkers of lung diseases) in breath samples collected from controls and individuals with lung cancer, chronic obstructive pulmonary disease and asthma. Besides that, global VOC profiles were investigated. A needle trap device (NTD) was used as pre-concentration technique, associated to gas chromatography-mass spectrometry (GC-MS) analysis. Univariate and multivariate approaches were applied to assess VOC distributions according to the studied diseases. Limits of quantitation ranged from 0.003 to 6.21 ppbv and calculated relative standard deviations did not exceed 10%. At least 15 of the quantified targets presented themselves as discriminating features. A random forest (RF) method was performed in order to classify enrolled conditions according to VOCs' latent patterns, considering VOCs responses in global profiles. The developed model was based on 12 discriminating features and provided overall balanced accuracy of 85.7%. Ultimately, multinomial logistic regression (MLR) analysis was conducted using the concentration of the nine most discriminative targets (2-propanol, 3-methylpentane, (E)-ocimene, limonene, m-cymene, benzonitrile, undecane, terpineol, phenol) as input and provided an average overall accuracy of 95.5% for multiclass prediction.
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Affiliation(s)
- Fernanda Monedeiro
- Interdisciplinary Centre of Modern Technologies, Nicolaus Copernicus University in Toruń, 4 Wileńska St., 87-100 Toruń, Poland; (F.M.); (M.M.-M.); (I.-A.R.); (B.B.)
| | - Maciej Monedeiro-Milanowski
- Interdisciplinary Centre of Modern Technologies, Nicolaus Copernicus University in Toruń, 4 Wileńska St., 87-100 Toruń, Poland; (F.M.); (M.M.-M.); (I.-A.R.); (B.B.)
| | - Ileana-Andreea Ratiu
- Interdisciplinary Centre of Modern Technologies, Nicolaus Copernicus University in Toruń, 4 Wileńska St., 87-100 Toruń, Poland; (F.M.); (M.M.-M.); (I.-A.R.); (B.B.)
- “Raluca Ripan” Institute for Research in Chemistry, Babeş-Bolyai University, 30 Fântânele St., RO-400294 Cluj-Napoca, Romania
- Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University in Toruń, 7 Gagarina St., 87-100 Toruń, Poland
| | - Beata Brożek
- Department of Lung Diseases, Provincial Polyclinic Hospital in Toruń, 4 Krasińskiego St., 87-100 Toruń, Poland;
| | - Tomasz Ligor
- Interdisciplinary Centre of Modern Technologies, Nicolaus Copernicus University in Toruń, 4 Wileńska St., 87-100 Toruń, Poland; (F.M.); (M.M.-M.); (I.-A.R.); (B.B.)
- Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University in Toruń, 7 Gagarina St., 87-100 Toruń, Poland
- Correspondence: ; Tel.: +48-(56)-665-60-58
| | - Bogusław Buszewski
- Interdisciplinary Centre of Modern Technologies, Nicolaus Copernicus University in Toruń, 4 Wileńska St., 87-100 Toruń, Poland; (F.M.); (M.M.-M.); (I.-A.R.); (B.B.)
- Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University in Toruń, 7 Gagarina St., 87-100 Toruń, Poland
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30
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Recognizing lung cancer and stages using a self-developed electronic nose system. Comput Biol Med 2021; 131:104294. [PMID: 33647830 DOI: 10.1016/j.compbiomed.2021.104294] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 02/17/2021] [Accepted: 02/17/2021] [Indexed: 12/25/2022]
Abstract
Exhaled breath contains thousands of gaseous volatile organic compounds (VOCs) that could be used as non-invasive biomarkers of lung cancer. Breath-based lung cancer screening has attracted wide attention on account of its convenience, low cost and easy popularization. In this paper, the research of lung cancer detection and staging is conducted by the self-developed electronic nose (e-nose) system. In order to investigate the performance of the device in distinguishing lung cancer patients from healthy controls, two feature extraction methods and two different classification models were adopted. Among all the models, kernel principal component analysis (KPCA) combined with extreme gradient boosting (XGBoost) achieved the best results among 235 breath samples. The accuracy, sensitivity and specificity of e-nose system were 93.59%, 95.60% and 91.09%, respectively. Meanwhile, the device could innovatively classify stages of 90 lung cancer patients (i.e., 44 stage III and 46 stage IV). Experimental results indicated that the recognition accuracy of lung cancer stages was more than 80%. Further experiments of this research also showed that the combination of sensor array and pattern recognition algorithms could identify and distinguish the expiratory characteristics of lung cancer, smoking and other respiratory diseases.
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31
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Chen T, Liu T, Li T, Zhao H, Chen Q. Exhaled breath analysis in disease detection. Clin Chim Acta 2021; 515:61-72. [PMID: 33387463 DOI: 10.1016/j.cca.2020.12.036] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/28/2020] [Accepted: 12/29/2020] [Indexed: 02/05/2023]
Abstract
Investigating the use of exhaled breath analysis to diagnose and monitor different diseases has attracted much interest in recent years. This review introduces conventionally used methods and some emerging technologies aimed at breath analysis and their relevance to lung disease, airway inflammation, gastrointestinal disorders, metabolic disorders and kidney diseases. One section correlates breath components and specific diseases, whereas the other discusses some unique ideas, strategies, and devices to analyze exhaled breath for the diagnosis of some common diseases. This review aims to briefly introduce the potential application of exhaled breath analysis for the diagnosis and screening of various diseases, thereby providing a new avenue for the detection of non-invasive diseases.
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Affiliation(s)
- Ting Chen
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan 610041, PR China
| | - Tiannan Liu
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan 610041, PR China
| | - Ting Li
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan 610041, PR China.
| | - Hang Zhao
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan 610041, PR China
| | - Qianming Chen
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan 610041, PR China
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Jaeschke C, Glöckler J, Padilla M, Mitrovics J, Mizaikoff B. An eNose-based method performing drift correction for online VOC detection under dry and humid conditions. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2020; 12:4724-4733. [PMID: 32930676 DOI: 10.1039/d0ay01172j] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Our recently demonstrated innovative concept of electronic nose (eNose) based on a combination of gas sensors is further tested and benchmarked in the present study. The system is a test bed for gas sensors of different principal technologies distributed within three compartments, which share a compact, very low volume, temperature-controlled sensing chamber. Here, the eNose-based analyser contains three sensing arrays of commercially available semiconducting metal oxide (MOX) gas sensors: one compartment contains 8 analog MOX sensors, while the other two compartments comprise 10 digital MOX sensors. The presented instrument is explicitly tested for the discrimination between mid-range (3-18 ppm) concentrations of different volatile organic compounds (VOCs) including acetaldehyde, acetone, ethanol, ethyl acetate, isoprene and n-pentane under dry and humid conditions, which are all considered relevant gases in future breath diagnostic applications. Since the experiments were performed in periods of time separated by around 20 days, they are affected by drift. For this reason, we explore the opportunity of drift mitigation using methods based on component removal computed by linear discriminant analysis, partial least squares discriminant analysis and direct orthogonalization, which lend themselves to future in-field applications of the developed device and sensing methodology.
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Affiliation(s)
- Carsten Jaeschke
- University of Ulm, Institute of Analytical and Bioanalytical Chemistry, Albert-Einstein-Allee 11, 89081 Ulm, Germany.
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Kochevalina MY, Trunov VG, Morozova OV, Kogun GA, Rodionova EI. Change in Urine Odor of Mice in the Dynamics of Formation of a Transplanted Hepatocarcinoma H33 Tumor. BIOL BULL+ 2020. [DOI: 10.1134/s1062359020050052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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34
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Li W, Jia Z, Xie D, Chen K, Cui J, Liu H. Recognizing lung cancer using a homemade e-nose: A comprehensive study. Comput Biol Med 2020; 120:103706. [PMID: 32250850 DOI: 10.1016/j.compbiomed.2020.103706] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 03/17/2020] [Accepted: 03/17/2020] [Indexed: 01/15/2023]
Abstract
In recent years, breath analysis has been used as a tool for lung cancer detection and many gas sensors were developed for this purpose. Although they are fabricated with advanced materials, for now, gas sensors are still limited in their medical application due to their unfavorable performance. Here, we hypothesized that a combination of diverse types of sensors could aid in improving the detection performance. We fabricated an e-nose based on 10 gas sensors of 4 types and directly tested it using samples from 153 healthy participants and 115 lung cancer patients, without gas pre-concentration. Additionally, we studied and compared five feature extraction algorithms. The extracted features were then used in 2 optimized clustering algorithms and 3 supervised classification strategies, and their performance was investigated. As a result, "breath-prints" for all subjects were successfully obtained. The combined features extracted by LDA and Fast ICA formed the best feature space. Within this feature space, both clustering algorithms grouped all "breath-prints" into exactly 2 clusters with an Adjusted Rand Index greater than 0.95. Among the 3 supervised classification strategies, random forest with 3-fold cross validation showed the best performance with 86.42% of mean classification accuracy and 0.87 of AUC, which was somewhat better than many recently reported sensor arrays. It can be concluded that, the diversity of sensors may play a role in improving the performance of the e-nose though to what extent still requires evaluation.
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Affiliation(s)
- Wang Li
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, PR China
| | - Ziru Jia
- Key Laboratory of Biorheology Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, PR China
| | - Dandan Xie
- Key Laboratory of Biorheology Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, PR China
| | - Ke Chen
- Key Laboratory of Biorheology Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, PR China
| | - Jianguo Cui
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, PR China
| | - Hongying Liu
- Key Laboratory of Biorheology Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, PR China.
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35
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Orr ME, Reveles KR, Yeh CK, Young EH, Han X. Can oral health and oral-derived biospecimens predict progression of dementia? Oral Dis 2020; 26:249-258. [PMID: 31541581 PMCID: PMC7031023 DOI: 10.1111/odi.13201] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 08/09/2019] [Accepted: 08/30/2019] [Indexed: 12/13/2022]
Abstract
Growing evidence indicates that oral health and brain health are interconnected. Declining cognition and dementia coincide with lack of self‐preservation, including oral hygiene. The oral microbiota plays an important role in maintaining oral health. Emerging evidence suggests a link between oral dysbiosis and cognitive decline in patients with Alzheimer's disease. This review showcases the recent advances connecting oral health and cognitive function during aging and the potential utility of oral‐derived biospecimens to inform on brain health. Collectively, experimental findings indicate that the connection between oral health and cognition cannot be underestimated; moreover, oral biospecimens are abundant and readily obtainable without invasive procedures, which may help inform on cognitive health.
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Affiliation(s)
- Miranda E Orr
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, Texas.,Geriatric Research, Education & Clinical Center and Research Service, South Texas Veterans Health Care System, San Antonio, Texas.,Department of Medicine, UT Health San Antonio, San Antonio, Texas.,Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, Texas.,Gerontology and Geriatric Medicine, Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Kelly R Reveles
- College of Pharmacy, The University of Texas at Austin, Austin, Texas.,Pharmacotherapy Education & Research Center, UT Health San Antonio, San Antonio, Texas
| | - Chih-Ko Yeh
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, Texas.,Geriatric Research, Education & Clinical Center and Research Service, South Texas Veterans Health Care System, San Antonio, Texas.,Comprehensive Dentistry, School of Dentistry, UT Health San Antonio, San Antonio, Texas
| | - Eric H Young
- College of Pharmacy, The University of Texas at Austin, Austin, Texas.,Pharmacotherapy Education & Research Center, UT Health San Antonio, San Antonio, Texas
| | - Xianlin Han
- Barshop Institute for Longevity and Aging Studies, UT Health San Antonio, San Antonio, Texas.,Department of Medicine, UT Health San Antonio, San Antonio, Texas
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36
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Janfaza S, Khorsand B, Nikkhah M, Zahiri J. Digging deeper into volatile organic compounds associated with cancer. Biol Methods Protoc 2019; 4:bpz014. [PMID: 32161807 PMCID: PMC6994028 DOI: 10.1093/biomethods/bpz014] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 09/25/2019] [Indexed: 12/13/2022] Open
Abstract
Volatile organic compounds (VOCs), produced and emitted through the metabolism of cancer cells or the body's immune system, are considered novel cancer biomarkers for diagnostic purposes. Of late, a large number of work has been done to find a relationship between VOCs' signature of body and cancer. Cancer-related VOCs can be used to detect several types of cancers at the earlier stages which in turn provide a significantly higher chance of survival. Here we aim to provide an updated picture of cancer-related VOCs based on recent findings in this field focusing on cancer odor database.
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Affiliation(s)
- Sajjad Janfaza
- School of Engineering, University of British Columbia, Kelowna, BC, Canada
- Department of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Ale Ahmad Highway, Tehran 14117, Iran
| | - Babak Khorsand
- Department of Computer Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Maryam Nikkhah
- Department of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Ale Ahmad Highway, Tehran 14117, Iran
| | - Javad Zahiri
- Bioinformatics and Computational Omics Lab (BioCOOL), Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Ale Ahmad Highway, Tehran 14117, Iran
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Jaeschke C, Glöckler J, El Azizi O, Gonzalez O, Padilla M, Mitrovics J, Mizaikoff B. An Innovative Modular eNose System Based on a Unique Combination of Analog and Digital Metal Oxide Sensors. ACS Sens 2019; 4:2277-2281. [PMID: 31389228 DOI: 10.1021/acssensors.9b01244] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
An innovative concept for an electronic nose (eNose) system based on a unique combination of analog and digital sensors for online monitoring is presented. The developed system consists of small sensing arrays of commercially available semiconducting metal oxide (MOX) gas sensors in a compact, modular, low sample volume, temperature-controlled sensing chamber. The sensing chamber comprises three compartments, each of which may contain several analog and/or digital MOX sensors. Additional sensors within the digital compartment allow for pressure, humidity, and temperature measurements. The presented prototype eNose system comprises one compartment with 8 analog MOX sensors and two compartments with 10 digital sensors each and was explicitly tested here for the discrimination between midrange (3-18 ppm) concentrations of ethanol and acetone at dry and moderately humid conditions.
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Affiliation(s)
- Carsten Jaeschke
- Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Albert-Einstein-Allee 11, 89081 Ulm, Germany
- JLM Innovation GmbH, Vor dem Kreuzberg 17, 72070 Tuebingen, Germany
| | - Johannes Glöckler
- Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Albert-Einstein-Allee 11, 89081 Ulm, Germany
| | - Oussama El Azizi
- Rovira i Virgili University, Avda. Països Catalans 26, 43007 Tarragona, Spain
| | - Oriol Gonzalez
- JLM Innovation GmbH, Vor dem Kreuzberg 17, 72070 Tuebingen, Germany
| | - Marta Padilla
- JLM Innovation GmbH, Vor dem Kreuzberg 17, 72070 Tuebingen, Germany
| | - Jan Mitrovics
- JLM Innovation GmbH, Vor dem Kreuzberg 17, 72070 Tuebingen, Germany
| | - Boris Mizaikoff
- Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Albert-Einstein-Allee 11, 89081 Ulm, Germany
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38
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Campanella A, De Summa S, Tommasi S. Exhaled breath condensate biomarkers for lung cancer. J Breath Res 2019; 13:044002. [PMID: 31282387 DOI: 10.1088/1752-7163/ab2f9f] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Lung cancer is the main cause of cancer incidence and mortality worldwide and the identification of clinically useful biomarkers for lung cancer detection at both early and metastatic stage is a pressing medical need. Although many improvements have been made in the treatment and in the early screening of this cancer, most diagnosis are made at a late stage, when a lot of genetic and epigenetic changes have occurred. A promising source of biomarkers reflective of the pathogenesis of lung cancer is exhaled breath condensate (EBC), a biological fluid and a natural matrix of the respiratory tract. Molecules such as DNAs, RNAs, proteins, metabolites and volatile compounds are present in EBC, and their presence/absence or their variation in concentrations can be used as biomarkers. The aims of this review are to briefly describe exhaled breath composition, firstly, and then to document some of the EBC candidate biomarkers for lung cancer by dividing them according to their origin (genome, transcriptome, epigenome, metabolome, proteome and microbiota) in order to demonstrate the potential use of EBC as a helpful tool in cancer diagnostics, molecular profiling, therapy monitoring and screening of high risk individuals.
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Affiliation(s)
- Annalisa Campanella
- Pharmacogenetics and Molecular Diagnostic Unit, IRCCS Istituto Tumori 'Giovanni Paolo II', Bari, Italy
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39
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Einoch Amor R, Nakhleh MK, Barash O, Haick H. Breath analysis of cancer in the present and the future. Eur Respir Rev 2019; 28:28/152/190002. [DOI: 10.1183/16000617.0002-2019] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 05/19/2019] [Indexed: 12/11/2022] Open
Abstract
Most of the currently used diagnostics for cancerous diseases have yet to meet the standards of screening, as they are insufficiently accurate and/or invasive and risky. In this review, we describe the rationale, the progress made to date, and the potential of analysing the exhaled volatile organic compounds as a pathway for enabling early diagnosis of cancer and, therefore, for achieving better clinical prognosis and survival rates. The review highlights the major advancements made in this field, from fundamentals, up to translational phases and clinical trials, with a special emphasis on sensing platforms based on nanomaterials. The prospects for breath analysis in early cancerous disease are presented and discussed.
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40
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Krilaviciute A, Leja M, Kopp-Schneider A, Barash O, Khatib S, Amal H, Broza YY, Polaka I, Parshutin S, Rudule A, Haick H, Brenner H. Associations of diet and lifestyle factors with common volatile organic compounds in exhaled breath of average-risk individuals. J Breath Res 2019; 13:026006. [DOI: 10.1088/1752-7163/aaf3dc] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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41
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Kovalska E, Lesongeur P, Hogan BT, Baldycheva A. Multi-layer graphene as a selective detector for future lung cancer biosensing platforms. NANOSCALE 2019; 11:2476-2483. [PMID: 30672548 DOI: 10.1039/c8nr08405j] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Highly selective, fast detection of specific lung-cancer biomarkers (CMs) in exhaled human breath is vital to the development of enhanced sensing devices. Today, e-nose is a promising approach for the diagnosis of lung cancer. Nevertheless, considerable challenges to early-stage disease diagnostics still remain: e.g. decrease in sensor sensitivities in the presence of water vapor, sensor drift leading to the inability to calibrate exactly, relatively short sensor lifetimes, and difficulty discriminating between multiple diseases. However, there is a wide scope for breath diagnostics techniques, and all advanced electrodes applicable to e-nose devices will benefit them. Here, we present the promising sensing capabilities of bare multi-layer graphene (MLG) as a proof of concept for advanced e-nose devices and demonstrate its utility for biomolecule discrimination of the most common lung CMs (ethanol, isopropanol, and acetone). We report on a comparative study involving exposure of the three CM solutions on flat MLG (f-MLG) and patterned MLG (p-MLG) electrodes, where the electrical conductivity of p-MLG is significantly increased while applying acetone. Based on sensitivity tests, we demonstrate the ability to monitor the electrical response of graphene electrodes employing graphene of various wettabilities. Specifically, the f-MLG electrode displays almost 2 times higher sheet resistance (30 Ω sq-1) compared to the hydrophilic p-MLG (12 Ω sq-1). We show significant sensitivity to selected specific molecules of pristine f-MLG and p-MLG while applying CM solutions with a 1.4 × 105 ppm concentration. Finally, we show the selectivity of f-MLG and p-MLG-based sensors when exposed to 2.0 × 105 ppm solutions containing different CM combinations. Both sensors were selective in particular to acetone, since the presence of acetone leads to a sheet resistance increase. We demonstrate that an advanced e-nose approach integrated with MLG electrodes has significant potential as a design concept for utilization of molecular detection at variable concentrations such as in early-stage disease diagnosis. This early-stage approach will provide convenient and reusable complex monitoring of CMs compared to typical contact sensors which require target analysis and are limited by disposable measuring. Moreover, further integration of the Internet of Things will introduce advanced e-nose devices as a biotechnological innovation for disease resilience with the potential for commercialization.
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Affiliation(s)
- E Kovalska
- Department of Engineering and Centre for Graphene Science, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.
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42
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Kim MJ, Oh HJ, Hwang SY, Hur TY, Lee BC. Health and temperaments of cloned working dogs. J Vet Sci 2018; 19:585-591. [PMID: 29929355 PMCID: PMC6167335 DOI: 10.4142/jvs.2018.19.5.585] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 06/01/2018] [Accepted: 06/04/2018] [Indexed: 11/20/2022] Open
Abstract
Dogs serve human society in various ways by working at tasks that are based on their superior olfactory sensitivity. However, it has been reported that only about half of all trained dogs may qualify as working dogs through conventional breeding management because proper temperament and health are needed in addition to their innate scent detection ability. To overcome this low efficiency of breeding qualified working dogs, and to reduce the enormous costs of maintaining unqualified dogs, somatic cell nuclear transfer has been applied in the propagation of working dogs. Herein, we review the history of cloning working dogs and evaluate the health development, temperaments, and behavioral similarities among the cloned dogs. We also discuss concerns about dog cloning including those related to birth defects, lifespan, and cloning efficiency.
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Affiliation(s)
- Min Jung Kim
- Department of Theriogenology and Biotechnology, College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea
| | - Hyun Ju Oh
- Department of Theriogenology and Biotechnology, College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea
| | - Sun Young Hwang
- Haemaru Referral Animal Hospital and Small Animal Clinical Research Institute, Seongnam 13590, Korea
| | - Tai Young Hur
- Animal Biotechnology Division, National Institute of Animal Science, Rural Development Administration, Jeonju 54875, Korea
| | - Byeong Chun Lee
- Department of Theriogenology and Biotechnology, College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea
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Kort S, Tiggeloven MM, Brusse-Keizer M, Gerritsen JW, Schouwink JH, Citgez E, de Jongh FHC, Samii S, van der Maten J, van den Bogart M, van der Palen J. Multi-centre prospective study on diagnosing subtypes of lung cancer by exhaled-breath analysis. Lung Cancer 2018; 125:223-229. [PMID: 30429025 DOI: 10.1016/j.lungcan.2018.09.022] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 09/09/2018] [Accepted: 09/27/2018] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Lung cancer is a leading cause of mortality. Exhaled-breath analysis of volatile organic compounds (VOC's) might detect lung cancer early in the course of the disease, which may improve outcomes. Subtyping lung cancers could be helpful in further clinical decisions. MATERIALS AND METHODS In a prospective, multi-centre study, using 10 electronic nose devices, 144 subjects diagnosed with NSCLC and 146 healthy subjects, including subjects considered negative for NSCLC after investigation, breathed into the Aeonose™ (The eNose Company, Zutphen, Netherlands). Also, analyses into subtypes of NSCLC, such as adenocarcinoma (AC) and squamous cell carcinoma (SCC), and analyses of patients with small cell lung cancer (SCLC) were performed. RESULTS Choosing a cut-off point to predominantly rule out cancer resulted for NSCLC in a sensitivity of 94.4%, a specificity of 32.9%, a positive predictive value of 58.1%, a negative predictive value (NPV) of 85.7%, and an area under the curve (AUC) of 0.76. For AC sensitivity, PPV, NPV, and AUC were 81.5%, 56.4%, 79.5%, and 0.74, respectively, while for SCC these numbers were 80.8%, 45.7%, 93.0%, and 0.77, respectively. SCLC could be ruled out with a sensitivity of 88.9% and an NPV of 96.8% with an AUC of 0.86. CONCLUSION Electronic nose technology with the Aeonose™ can play an important role in rapidly excluding lung cancer due to the high negative predictive value for various, but not all types of lung cancer. Patients showing positive breath tests should still be subjected to further diagnostic testing.
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Affiliation(s)
- S Kort
- Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands.
| | - M M Tiggeloven
- Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands
| | - M Brusse-Keizer
- Medical School Twente, Medisch Spectrum Twente, Enschede, the Netherlands
| | | | - J H Schouwink
- Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands
| | - E Citgez
- Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands
| | - F H C de Jongh
- Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, the Netherlands
| | - S Samii
- Department of Pulmonary Medicine, Deventer Ziekenhuis, Deventer, the Netherlands
| | - J van der Maten
- Department of Pulmonary Medicine, Medisch Centrum Leeuwarden, Leeuwarden, the Netherlands
| | - M van den Bogart
- Department of Pulmonary Medicine, Bernhoven Uden, Uden, the Netherlands
| | - J van der Palen
- Medical School Twente, Medisch Spectrum Twente, Enschede, the Netherlands; Department of Research Methodology, Measurement, and Data Analysis, University of Twente, Enschede, the Netherlands
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Li Z, Askim JR, Suslick KS. The Optoelectronic Nose: Colorimetric and Fluorometric Sensor Arrays. Chem Rev 2018; 119:231-292. [DOI: 10.1021/acs.chemrev.8b00226] [Citation(s) in RCA: 476] [Impact Index Per Article: 79.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Zheng Li
- Department of Chemistry, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States
| | - Jon R. Askim
- National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States
| | - Kenneth S. Suslick
- Department of Chemistry, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States
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45
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Popa C, Bratu AM, Petrus M. A comparative photoacoustic study of multi gases from human respiration: mouth breathing vs. nasal breathing. Microchem J 2018. [DOI: 10.1016/j.microc.2018.02.030] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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46
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Wu X, Zhu L, Ma PC. Next-Generation Novel Noninvasive Cancer Molecular Diagnostics Platforms Beyond Tissues. Am Soc Clin Oncol Educ Book 2018; 38:964-977. [PMID: 30231325 PMCID: PMC6381937 DOI: 10.1200/edbk_199767] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
In recent years, there has been a revolutionary expansion in technologic advances and therapeutic innovations in cancer medicine. Cancer diagnostics has begun to move away from a sole dependence on direct tumor tissue biopsy for cancer detection, diagnosis, and treatment monitoring. The need for improvement in molecular cancer diagnostics has never been more important, with not only the advent of cancer genomics and genomics-guided precision medicine but also the recent arrival of cancer immunotherapies. Owing to the practical limitations and risks associated with tissue-based biopsy diagnostics, novel noninvasive cancer diagnostics platforms have continued to evolve and expand in recent years. Examples of these platforms include the liquid biopsy, which is used to interrogate ctDNA or circulating tumor cells, proteomics, metabolomics, and exosomes; the urine biopsy, which is used to assay ctDNAs; saliva and stool biopsies, which are used for molecular genomics assays; and the breath biopsy, which measures volatile organic compounds. These next-generation noninvasive molecular diagnostics assays beyond tissues fundamentally transform the potential utilities of cancer diagnostics to enable repeat, prospective, and serial longitudinal "biopsies" to monitor disease response resistance and progression on therapies. Moreover, they allow continual interrogation and molecular in-depth analysis of the evolving tumor's pan-canceromics under therapeutic stress. These technological and diagnostic advances have already brought about paradigm-changing next-generation cancer therapeutic strategies to enhance overall treatment efficacies. This article reviews the key noninvasive next-generation molecular diagnostics platforms beyond tissues, with emphasis on clinical utilities and applications.
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Affiliation(s)
- Xiaoliang Wu
- From the West Virginia University Cancer Institute, West Virginia University Medicine, West Virginia University, Morgantown, WA; West Virginia Clinical and Translational Institute, Morgantown, WV
| | - Lin Zhu
- From the West Virginia University Cancer Institute, West Virginia University Medicine, West Virginia University, Morgantown, WA; West Virginia Clinical and Translational Institute, Morgantown, WV
| | - Patrick C Ma
- From the West Virginia University Cancer Institute, West Virginia University Medicine, West Virginia University, Morgantown, WA; West Virginia Clinical and Translational Institute, Morgantown, WV
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47
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A gate-opening controlled metal-organic framework for selective solid-phase microextraction of aldehydes from exhaled breath of lung cancer patients. Mikrochim Acta 2018; 185:307. [DOI: 10.1007/s00604-018-2843-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 05/10/2018] [Indexed: 01/22/2023]
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48
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Thriumani R, Zakaria A, Hashim YZHY, Jeffree AI, Helmy KM, Kamarudin LM, Omar MI, Shakaff AYM, Adom AH, Persaud KC. A study on volatile organic compounds emitted by in-vitro lung cancer cultured cells using gas sensor array and SPME-GCMS. BMC Cancer 2018; 18:362. [PMID: 29609557 PMCID: PMC5879746 DOI: 10.1186/s12885-018-4235-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 03/16/2018] [Indexed: 02/07/2023] Open
Abstract
Background Volatile organic compounds (VOCs) emitted from exhaled breath from human bodies have been proven to be a useful source of information for early lung cancer diagnosis. To date, there are still arguable information on the production and origin of significant VOCs of cancer cells. Thus, this study aims to conduct in-vitro experiments involving related cell lines to verify the capability of VOCs in providing information of the cells. Method The performances of e-nose technology with different statistical methods to determine the best classifier were conducted and discussed. The gas sensor study has been complemented using solid phase micro-extraction-gas chromatography mass spectrometry. For this purpose, the lung cancer cells (A549 and Calu-3) and control cell lines, breast cancer cell (MCF7) and non-cancerous lung cell (WI38VA13) were cultured in growth medium. Results This study successfully provided a list of possible volatile organic compounds that can be specific biomarkers for lung cancer, even at the 24th hour of cell growth. Also, the Linear Discriminant Analysis-based One versus All-Support Vector Machine classifier, is able to produce high performance in distinguishing lung cancer from breast cancer cells and normal lung cells. Conclusion The findings in this work conclude that the specific VOC released from the cancer cells can act as the odour signature and potentially to be used as non-invasive screening of lung cancer using gas array sensor devices.
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Affiliation(s)
- Reena Thriumani
- Centre of Excellence for Advanced Sensor Technology, Universiti Malaysia Perlis, Arau, Perlis, Malaysia.
| | - Ammar Zakaria
- Centre of Excellence for Advanced Sensor Technology, Universiti Malaysia Perlis, Arau, Perlis, Malaysia.
| | - Yumi Zuhanis Has-Yun Hashim
- Cell and Tissue Engineering Lab (CTEL), Department of Biotechnology Engineering, Kulliyyah of Engineering, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia.,International Institute for Halal Research and Training (INHART), International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia
| | - Amanina Iymia Jeffree
- Centre of Excellence for Advanced Sensor Technology, Universiti Malaysia Perlis, Arau, Perlis, Malaysia
| | - Khaled Mohamed Helmy
- Department of Respiratory, Hospital Tuanku Fauziah, Jalan Kolam, Kangar, Perlis, Malaysia
| | - Latifah Munirah Kamarudin
- Centre of Excellence for Advanced Sensor Technology, Universiti Malaysia Perlis, Arau, Perlis, Malaysia
| | - Mohammad Iqbal Omar
- Centre of Excellence for Advanced Sensor Technology, Universiti Malaysia Perlis, Arau, Perlis, Malaysia
| | - Ali Yeon Md Shakaff
- Centre of Excellence for Advanced Sensor Technology, Universiti Malaysia Perlis, Arau, Perlis, Malaysia
| | - Abdul Hamid Adom
- Centre of Excellence for Advanced Sensor Technology, Universiti Malaysia Perlis, Arau, Perlis, Malaysia
| | - Krishna C Persaud
- School of Chemical Engineering and Analytical Science, University of Manchester, Oxford Road, Manchester, United Kingdom
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Gasparri R, Romano R, Sedda G, Borri A, Petrella F, Galetta D, Casiraghi M, Spaggiari L. Diagnostic biomarkers for lung cancer prevention. J Breath Res 2018; 12:027111. [DOI: 10.1088/1752-7163/aa9386] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Saasa V, Malwela T, Beukes M, Mokgotho M, Liu CP, Mwakikunga B. Sensing Technologies for Detection of Acetone in Human Breath for Diabetes Diagnosis and Monitoring. Diagnostics (Basel) 2018; 8:E12. [PMID: 29385067 PMCID: PMC5871995 DOI: 10.3390/diagnostics8010012] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 12/29/2017] [Accepted: 01/02/2018] [Indexed: 11/16/2022] Open
Abstract
The review describes the technologies used in the field of breath analysis to diagnose and monitor diabetes mellitus. Currently the diagnosis and monitoring of blood glucose and ketone bodies that are used in clinical studies involve the use of blood tests. This method entails pricking fingers for a drop of blood and placing a drop on a sensitive area of a strip which is pre-inserted into an electronic reading instrument. Furthermore, it is painful, invasive and expensive, and can be unsafe if proper handling is not undertaken. Human breath analysis offers a non-invasive and rapid method for detecting various volatile organic compounds thatare indicators for different diseases. In patients with diabetes mellitus, the body produces excess amounts of ketones such as acetoacetate, beta-hydroxybutyrate and acetone. Acetone is exhaled during respiration. The production of acetone is a result of the body metabolising fats instead of glucose to produce energy. There are various techniques that are used to analyse exhaled breath including Gas Chromatography Mass Spectrometry (GC-MS), Proton Transfer Reaction Mass Spectrometry (PTR-MS), Selected Ion Flow Tube-Mass Spectrometry (SIFT-MS), laser photoacoustic spectrometry and so on. All these techniques are not portable, therefore this review places emphasis on how nanotechnology, through semiconductor sensing nanomaterials, has the potential to help individuals living with diabetes mellitus monitor their disease with cheap and portable devices.
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Affiliation(s)
- Valentine Saasa
- DST/CSIR, PO BOX 395, Pretoria 0001, South Africa.
- Departmentof Biochemistry, University of Pretoria, Pretoria 0001, South Africa.
| | | | - Mervyn Beukes
- Departmentof Biochemistry, University of Pretoria, Pretoria 0001, South Africa.
| | - Matlou Mokgotho
- Department of Biochemistry, University of Limpopo, P/Bag x1106, Sovenga 0727, South Africa.
| | - Chaun-Pu Liu
- Department of Materials Science and Engineering, National Cheng Kung University, Tainan 70101, Taiwan.
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