Chemical Sensors and Biosensors for Point-of-Care Testing of Pets: Opportunities for Individualized Diagnostics of Companion Animals DOI Creative Commons
Wilson T. Fonseca, Tatiana Parra Vello,

Gabrielle Coelho Lelis

и другие.

ACS Sensors, Год журнала: 2025, Номер unknown

Опубликована: Апрель 22, 2025

Point-of-care testing (POCT) is recognized as one of the most disruptive medical technologies for rapid and decentralized diagnostics. Successful commercial examples include portable glucose meters, pregnancy tests, COVID-19 self-tests. However, compared to advancements in human healthcare, POCT companion animals (pets) remain significantly underdeveloped. This Review explores latest pet examines challenges opportunities field individualized diagnostics cats dogs. The frequent diseases their respective biomarkers blood, urine, saliva are discussed. We examine key strategies developing next-generation devices by harnessing potential selective (bio)receptors high-performing transducers such lateral flow tests electrochemical (bio)sensors. also present recent research initiatives successful technologies. discuss future trends field, role biomarker discovery development wearable, implantable, breath sensors. believe that advancing benefits not only but humans environment, supporting One Health approach.

Язык: Английский

Breath Analysis: An ACS Sensors Special Issue DOI Creative Commons
Hohyung Kang, Hee‐Tae Jung

ACS Sensors, Год журнала: 2025, Номер 10(3), С. 1505 - 1506

Опубликована: Март 28, 2025

InfoMetricsFiguresRef. ACS SensorsVol 10/Issue 3Article This publication is free to access through this site. Learn More CiteCitationCitation and abstractCitation referencesMore citation options ShareShare onFacebookXWeChatLinkedInRedditEmailBlueskyJump toExpandCollapse EditorialMarch 28, 2025Breath Analysis: An Sensors Special IssueClick copy article linkArticle link copied!Hohyung Kang*Hohyung KangDepartment of Chemical Biomolecular Engineering, Korea Advanced Institute Science Technology, 291, Daehak-ro, Yuseong-gu, Daejeon 34141, Republic Korea*Email: [email protected]; protected]More by Hohyung Kanghttps://orcid.org/0000-0001-5373-4460Hee-Tae Jung*Hee-Tae JungDepartment Hee-Tae Junghttps://orcid.org/0000-0002-5727-6732Open PDFACS SensorsCite this: Sens. 2025, 10, 3, 1505–1506Click citationCitation copied!https://pubs.acs.org/doi/10.1021/acssensors.5c00717https://doi.org/10.1021/acssensors.5c00717Published March 2025 Publication History Received 3 2025Published online 28 in issue 2025editorialCopyright © Published American Society. available under these Terms Use. Request reuse permissionsThis licensed for personal use The PublicationsCopyright SocietySubjectswhat are subjects Article automatically applied from the Subject Taxonomy describe scientific concepts themes article. Biomarkers Cancer Computational chemistry Gases IssuePublished as part special "Breath Sensing".The average adult breathes approximately 15 times per minute, with each breath composed nitrogen, oxygen, carbon dioxide, water vapor, trace amounts volatile organic compounds (VOCs) other inorganic gases. Every exhalation reflects activity numerous metabolic pathways, carrying vital physiological information. There about 3000 known gases human breath, variations their concentrations can serve biomarkers diverse processes diseases. (1) Breath analysis an innovative diagnostic method that evaluates chemical composition exhaled assess individual's health. While conventional methods such blood tests, biopsies, endoscopy, colonoscopy, various imaging techniques (e.g., X-rays, magnetic resonance imaging, computed tomography) provide valuable information, they often require considerable time, specialized equipment, professionals diagnosis. In contrast, noninvasive, safe, rapid, cost-effective, real-time, portable, making it a convenient attractive diagnostics. (2,3)However, remains clinical validation stage. Unlike gas sensors industrial safety or environmental monitoring detect at higher controlled conditions, must operate far more challenging conditions. Target biomarker typically exist parts-per-billion (ppb) within 31–35 °C, 65–89% relative humidity (RH), presence interfering makes detection akin finding needle haystack. Therefore, several challenges be addressed: (i) extremely low concentrations; (ii) interindividual variability diet, health sampling methods, patterns considered; (iii) complexity matrix necessitates enhanced selectivity pretreatment during ensure accurate analysis. Thus, exhibit high sensitivity, selectivity, resilience, precision, accuracy, cost-effectiveness, energy efficiency viable applications. (4)Currently, gold standard chromatography–mass spectrometry (GC-MS) due its precision accuracy detecting minute Nonetheless, sensors, including solid-state, optical, electrochemical types, have made significant progress advancements materials science, signal processing, hardware engineering. Studies shown elevated acetone diabetes diagnosis increased nitric oxide asthma. (5,6) addition, investigations demonstrated ability disease screening. For example, methane has been linked colorectal cancer; ammonia renal failure, oral cavity disease, Helicobacter pylori infection; ethane cystic fibrosis, scleroderma, Alzheimer's atherosclerosis; hydrogen sulfide halitosis airway inflammation; carbonyl liver disease; toluene lung methanol breast cancer central nervous system diseases; isoprene aldehydes cancer, tuberculosis, Wilson's cyanide fibrosis. (7−9) Notably, single may multiple diseases, while given might characterized impact on pathways. identifying origin elucidating relationship specific diseases critical. (10,11)To advance beyond validation, five key areas further development: material engineering, (2) (3) (4) mechanism studies, (5) field testing. First, engineering requires research superior sensitivity humid includes screening candidates, employing structural modifications stronger analyte interactions, applying protective coatings minimize unwanted reactions selectively targeting Additionally, rational design electronic nose systems needed improve capturing fingerprints Second, interpreting complex data robust processing methods. Both mathematical models (such principal component linear discriminant analysis) advanced machine learning (ML) (including convolutional neural networks, random forests, autoencoders, recurrent networks) should explored optimize predictive performance reduce variability. Moreover, addressing "black box" nature ML explainable AI, feature visualization, rule extraction essential enhance interpretability secure trust. Third, developing durable, energy-efficient Optimized components, electrodes integrated heaters, measurement reducing power consumption. Advances sensor fabrication improved understanding airflow dynamics also necessary reliable measurements. Fourth, comprehensive studies determine origins gases, establish correlations states, refine concentration ranges Finally, real sample deeper mechanistic crucial confirming applicability (12,13)To foster field, presents analysis, featuring total 36 state-of-the-art contributions spanning identification, technologies, systematic reviews world-leading experts. covers broad spectrum applications, COVID-19, Parkinson's H. infection, chronic obstructive pulmonary diabetes, It highlights electrochemical, surface acoustic wave well improvements accuracy. Furthermore, topics wearable catalysts Raman-based COVID-19 guidance future research. We hope collection will innovation inspire new breakthroughs Given multidisciplinary welcomes novel ideas innovations address unresolved questions limitations.Dr. KangKorea Daejeon, KoreaHee-Tae Jung, Associate Editor, SensorsKorea KoreaAuthor InformationClick section linkSection copied!Corresponding AuthorsHohyung Kang, Research Associate, Department Korea, https://orcid.org/0000-0001-5373-4460, Email: protected] protected]Hee-Tae Sensors, https://orcid.org/0000-0002-5727-6732, protected]NotesViews expressed editorial those authors not necessarily views ACS.ReferencesClick copied! references 13 publications. 1Buszewski, B.; Kęsy, M.; Ligor, T.; Amann, A. Human Exhaled Air Analytics: Diseases. Biomedical Chromatography 2007, 21 (6), 553– 566, DOI: 10.1002/bmc.835 Google Scholar1Human air analytics: diseasesBuszewski, Boguslaw; Kesy, Martyna; Tomasz; AntonBiomedical (2007), 553-566CODEN: BICHE2; ISSN:0269-3879. (John Wiley & Sons Ltd.) A review. Over last few years, anal. routine disorders attracted amt. interest, esp. since non-invasive technique, totally painless agreeable patients. investigation samples correlation between concn. org. compds. occurrence certain modern instruments allow detn. many found both normal anomalous concns. compn. patients with, inflammatory hepatic dysfunction contains quantification oxidative stress, surgery based progress. paper gives overview used collection, preconcn. potential different disease-marking substances selection clin. applications discussed. >> SciFinder ®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BD2sXntVSjtrY%253D&md5=bc3f7302ea0107b2861030c86c6d1a3b2Amann, A.; Costello, B. de L.; Miekisch, W.; Schubert, J.; Buszewski, Pleil, Ratcliffe, N.; Risby, T. Volatilome: Volatile Organic Compounds Breath, Skin Emanations, Urine, Feces Saliva. J. Res. 2014, 8 (3), 034001, 10.1088/1752-7155/8/3/034001 Scholar2The volatilome: skin emanations, urine, feces salivaAmann, Anton; Lacy Ben; Wolfram; Jochen; Joachim; Norman; TerenceJournal (2014), 034001CODEN: JBROBW; ISSN:1752-7155. (IOP Publishing young roots antiquity. Antoine Lavoisier discovered dioxide period 1777-1783, Wilhelm (Vilem) Petters 1857 Johannes Muller reported first quant. measurements 1898. recent review 1765 appearing saliva, milk, feces. large no. compds., real-time emanations performed, e.g., exertion effort stationary bicycle sleep. which record historical exposure, called exposome. Changes biogenic compd. mirror (patho)physiol. whole body drugs (e.g. propofol) settings, even artificial ventilation surgery. Also released bacterial strains like Pseudomonas aeruginosa Streptococcus pneumonia could very interesting. Me methacrylate (CAS 80-62-6), was obsd. headspace up 1420 ppb. Fecal volatiles implicated differentiating infectious bowel Clostridium difficile, Campylobacter, Salmonella Cholera. They differentiate non-infectious conditions irritable syndrome disease. addn., alterations urine urinary tract infections, bladder, prostate cancers. Peroxidn. lipids biomols. reactive oxygen species produce 1-pentane. Noninvasive therapeutic stress would highly desirable autoimmunol., neurol., but intensive care units. study cell cultures opens possibilities elucidation biochem. background combined particular regard matrixes saliva culture lead field. ®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BC2cXhvV2jt77E&md5=65901e0c2c4e746efdca763d468ecb063Jung, H.-T. Present Future Gas Sensors. Sens 2022, 7 (4), 912– 913, 10.1021/acssensors.2c00688 Scholar3The SensorsJung, Hee-TaeACS (2022), 912-913CODEN: ASCEFJ; ISSN:2379-3694. (American Society) present sensors. ®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB38XhtVShtbjM&md5=85183d155224b0a59c5fe6f95efc34f74Liu, K.; Lin, Zhao, Z.; Zhang, Yang, S. Rational Design Application Healthcare Monitoring. 10 (1), 15– 32, 10.1021/acssensors.4c02313 ScholarThere no corresponding reference.5Wang, C.; Sahay, P. Analysis Using Laser Spectroscopic Techniques: Biomarkers, Spectral Fingerprints, Detection Limits. 2009, 9 (10), 8230– 8262, 10.3390/s91008230 Scholar5Breath using laser spectroscopic techniques: biomarkers, spectral fingerprints, limitsWang, Chuji; PeeyushSensors (2009), 8230-8262CODEN: SENSC9; ISSN:1424-8220. (Molecular Diversity Preservation International) anal., promising medicine medical instrumentation, potentially offers point-of-care (POC) diagnostics status monitoring. Numerous detected quantified so GC-MS technique. Recent advances sources driven heights, moving lab. com. reality. only high-sensitivity high-selectivity, equivalently offered MS-based techniques, advantageous features near response, instrument costs, POC function. Of approx. 35 established acetone, ammonia, ethane, methane, oxide, 14 analyzed namely, tunable diode absorption spectroscopy (TDLAS), ring down (CRDS), output (ICOS), (CEAS), leak-out (CALOS), photoacoustic (PAS), quartz-enhanced (QEPAS), optical frequency comb cavity-enhanced (OFC-CEAS). measured span UV mid-IR regions limits achieved range ppm ppb levels. etc. available. update latest developments laser-based ®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BD1MXhtlakurnI&md5=b14f7899eec1357f8906a62ab88423156Owen, O. E.; Trapp, V. Skutches, C. Mozzoli, M. Hoeldtke, R. D.; Boden, G.; Reichard, G. A., Jr. Acetone Metabolism During Diabetic Ketoacidosis. Diabetes 1982, 31 242– 248, 10.2337/diab.31.3.242 reference.7Selvaraj, R.; Vasa, N. Nagendra, S.; Mizaikoff, Mid-Infrared Spectroscopy-Based Sensing Techniques Diagnostics. Molecules 2020, 25 (9), 2227, 10.3390/molecules25092227 reference.8Kang, H.; Joo, Choi, Kim, Y.-J.; Lee, Y.; Cho, S.-Y.; Top-Down Approaches Nm-Scale Nanochannel: Toward Exceptional H2S Detection. Nano 16 17210– 17219, 10.1021/acsnano.2c07785 Scholar8Top-Down nm-Scale DetectionKang, Hohyung; Heeeun; Junghoon; Yong-Jae; Yullim; Soo-Yeon; 17210-17219CODEN: ANCAC3; ISSN:1936-0851. Metal semiconductors (MOS) proven most powerful sensing (H2S), achieving billion level selectivity. However, there way extending approach top-down process, completely limiting com.-level productions. study, we developed lithog. process nm-scale SnO2 nanochannel prodn. Due high-resoln. (15 nm thickness) aspect ratio (>20) structures, exhibited sensitive performances (Ra/Rg = 116.62, τres s 0.5 ppm) (RH2S/Racetone 23 against 5 acetone). efficiently sensitized p-n heterojunction without any postmodification addnl. one-step As drastically NiO nanoheterojunction 166.2, ppm), showing highest date These results constitute high-throughput platform commercialize accelerate development time interface real-life situations. ®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB38XisF2kurnM&md5=5187fd1ee24d2b394e8d5917b1d2cb309Vm, Yerevan State University YSU, 1 Alex Manoukian Oxide Diseases Medical Health Applications. BJSTR 29 (2), 22328– 22336, 10.26717/BJSTR.2020.29.004780 reference.10Chaudhary, V.; Taha, Lucky; Rustagi, Khosla, Papakonstantinou, P.; Bhalla, Nose-on-Chip Nanobiosensors Early Lung Biomarkers. 2024, 4469– 4494, 10.1021/acssensors.4c01524 reference.11Güntner, Abegg, Königstein, Gerber, Schmidt-Trucksäss, Pratsinis, E. 2019, 4 268– 280, 10.1021/acssensors.8b00937 reference.12Li, Wei, X.; Zhou, Wang, You, Progress Electronic Nose Technology Disease Analysis. Microsyst Nanoeng 2023, 1– 22, 10.1038/s41378-023-00594-0 reference.13Cho, Ryu, H.-T.; Finding Hidden Signals Deep Learning. Anal. Chem. 92 6529– 6537, 10.1021/acs.analchem.0c00137 Scholar13Finding LearningCho, Youhan; Sangwon; Jaehoon; Jin; Hee-Tae; JihanAnalytical Chemistry (Washington, DC, United States) (2020), 6529-6537CODEN: ANCHAM; ISSN:0003-2700. Achieving signal-to-noise chem. biol. enables target analytes. Unfortunately, below limit (LOD), becomes difficult small amts. analytes ext. useful information via work, examine possibility extg. "hidden signals" deep network LOD region. test case system, conduct expts. H2 six metallic channels (Au, Cu, Mo, Ni, Pt, Pd) demonstrate capabilities LOD. technique universally types Our hidden signals, next-generation ®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB3cXntVKlsLw%253D&md5=ec5b1b29b97539145b865441e1eaac13Cited By Click copied!This yet cited publications.Download PDFFiguresReferences Get e-AlertsGet e-AlertsACS copied!https://doi.org/10.1021/acssensors.5c00717Published 2025Copyright permissionsArticle Views-Altmetric-Citations-Learn metrics closeArticle Views COUNTER-compliant sum full text downloads November 2008 (both PDF HTML) across all institutions individuals. regularly updated reflect usage leading days.Citations number articles citing article, calculated Crossref daily. Find counts.The Altmetric Attention Score quantitative measure attention received online. Clicking donut icon load page altmetric.com additional details score social media how calculated.Recommended Articles FiguresReferencesThis figures.References 1Human 2The 3The 5Breath 8Top-Down 13Finding ®https://chemport.cas.org/services/resolver?origin=ACS&resolution=options&coi=1%3ACAS%3A528%3ADC%252BB3cXntVKlsLw%253D&md5=ec5b1b29b97539145b865441e1eaac13

Язык: Английский

Процитировано

0

Chemical Sensors and Biosensors for Point-of-Care Testing of Pets: Opportunities for Individualized Diagnostics of Companion Animals DOI Creative Commons
Wilson T. Fonseca, Tatiana Parra Vello,

Gabrielle Coelho Lelis

и другие.

ACS Sensors, Год журнала: 2025, Номер unknown

Опубликована: Апрель 22, 2025

Point-of-care testing (POCT) is recognized as one of the most disruptive medical technologies for rapid and decentralized diagnostics. Successful commercial examples include portable glucose meters, pregnancy tests, COVID-19 self-tests. However, compared to advancements in human healthcare, POCT companion animals (pets) remain significantly underdeveloped. This Review explores latest pet examines challenges opportunities field individualized diagnostics cats dogs. The frequent diseases their respective biomarkers blood, urine, saliva are discussed. We examine key strategies developing next-generation devices by harnessing potential selective (bio)receptors high-performing transducers such lateral flow tests electrochemical (bio)sensors. also present recent research initiatives successful technologies. discuss future trends field, role biomarker discovery development wearable, implantable, breath sensors. believe that advancing benefits not only but humans environment, supporting One Health approach.

Язык: Английский

Процитировано

0