Sensing by Smell: Nanoparticle-Enzyme Sensors for Rapid and Sensitive Detection of Bacteria with Olfactory Output

ArticleAçık Erişim

Özet

We present here a highly efficient sensor for bacteria that provides an olfactory output, allowing detection without the use of instrumentation and with a modality that does not require visual identification. The sensor platform uses nanoparticles to reversibly complex and inhibits lipase. These complexes are disrupted in the presence of bacteria, restoring enzyme activity and generating scent from odorless pro-fragrance substrate molecules. This system provides rapid (15 min) sensing and very high sensitivity (102 cfu/mL) detection of bacteria using the human sense of smell as an output. © 2017 American Chemical Society.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/14725Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1021/acsnano.7b00822Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorDuncan, Bradley
dc.contributor.authorLe, Ngoc D. B.
dc.contributor.authorAlexander, Colleen
dc.contributor.authorGupta, Akash
dc.contributor.authorYesilbag Tonga, Gulen
dc.contributor.authorYazdani, Mahdieh
dc.contributor.authorLandis, Ryan F.
dc.contributor.authorWang, Li-Sheng
dc.contributor.authorYan, Bo
dc.contributor.authorBurmaoglu, Serdar
dc.contributor.authorLi, Xiaoning
dc.contributor.authorRotello, Vincent M.
dc.date.accessioned2026-10-18T20:29:32.102798400Z
dc.date.available2026-10-18T20:29:32.102798400Z
dc.date.issued2017
dc.description.abstractWe present here a highly efficient sensor for bacteria that provides an olfactory output, allowing detection without the use of instrumentation and with a modality that does not require visual identification. The sensor platform uses nanoparticles to reversibly complex and inhibits lipase. These complexes are disrupted in the presence of bacteria, restoring enzyme activity and generating scent from odorless pro-fragrance substrate molecules. This system provides rapid (15 min) sensing and very high sensitivity (102 cfu/mL) detection of bacteria using the human sense of smell as an output. © 2017 American Chemical Society.
dc.description.sponsorshipThis research was supported by Firmenich SA, the NIH (GM077173) the National Academies of Science, Pakistan-U.S. Science and Technology Cooperation Program, and the Manning Fund at the University of Massachusetts. The authors thank Prof. Julian McClements, Prof. Eric Decker, and Jean Alamed from the Department of Food Science at the University of Massachusetts for the use and assistance using the GC-Headspace instrumentation.
dc.identifier.doi10.1021/acsnano.7b00822
dc.identifier.eissn1936-086X
dc.identifier.endpage5343
dc.identifier.issn1936-0851
dc.identifier.issue6
dc.identifier.pmcidPMC5848077
dc.identifier.pmid28423269
dc.identifier.scopus2-s2.0-85021439921
dc.identifier.startpage5339
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/14725
dc.identifier.volume11
dc.identifier.wosWOS:000404808000014
dc.language.isoen
dc.publisherAmerican Chemical Society
dc.relation.ispartofACS Nano
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectbacteria
dc.subjectenzymes
dc.subjecthuman olfaction
dc.subjectnanoparticles
dc.subjectself-assembly
dc.subjectBacterial Infections
dc.subjectBiosensing Techniques
dc.subjectCandida
dc.subjectHumans
dc.subjectLipase
dc.subjectSmell
dc.subjectTime Factors
dc.subjectEnzyme activity
dc.subjectEnzyme sensors
dc.subjectSelf assembly
dc.subjectnanoparticle
dc.subjecttriacylglycerol lipase
dc.subjectHigh sensitivity
dc.subjectHuman sense
dc.subjectSensitive detection
dc.subjectSensor platform
dc.subjectVisual identification
dc.subjectantagonists and inhibitors
dc.subjectbacterial infection
dc.subjectbacterium
dc.subjectchemistry
dc.subjecteconomics
dc.subjectenzymology
dc.subjectgenetic procedures
dc.subjecthuman
dc.titleSensing by Smell: Nanoparticle-Enzyme Sensors for Rapid and Sensitive Detection of Bacteria with Olfactory Output
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus58
rdl.citation.wos50
rdl.departmentTercan Vocational High School, Erzincan University , 24800 Tercan, Erzincan, Turkey.
rdl.oa.statusgreen
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)