Effective, Reagent-free Detection of the Odor Signature of Covid-19 Infection Using a Nano-Enabled Sensor Array
Effective, Reagent-free Detection of the Odor Signature of Covid-19 Infection Using a Nano-Enabled Sensor Array
批准号:
10320989
负责人:
Alan T Johnson
金额:
$98.8万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-12-21 至 2022-12-31
关键词:
AddressAgeAstronomyBenchmarkingCOVID-19COVID-19 diagnosisCOVID-19 screeningCOVID-19 testingCarbon NanotubesCenters for Disease Control and Prevention (U.S.)CharacteristicsChemicalsClassificationClinicalCodeCollaborationsCollectionCommunitiesComputer softwareComputersCounselingDNADataData AnalysesDetectionDevelopmentDevice or Instrument DevelopmentDevicesDiagnosisDiagnosticDiscriminant AnalysisDiseaseEngineeringEnsureFloridaFutureGenderGoalsGoldHandHealthHousekeepingHumanHuman ResourcesHuman bodyIn VitroIndividualInformation SciencesInternationalIntuitionLaboratoriesLawyersMass FragmentographyMeasurementMechanicsMedical DeviceMethodsModelingModernizationMonitorNoseOccupationsOdorsParticipantPathologicPathway interactionsPatientsPatternPennsylvaniaPerformancePhasePhysicsProductionRADxReagentReportingResearchRiskSARS-CoV-2 infectionSARS-CoV-2 negativeSARS-CoV-2 positiveSamplingSkinSoftware EngineeringSolidSourceSpecificitySpottingsSystemSystems DevelopmentTechnologyTestingTimeTrainingUniversitiesValidationViralVirus DiseasesVisualWorkplaceanimal careartificial neural networkbasecommunity settingcoronavirus diseasecostdesigndesign and constructionethnic diversityexperiencehigh standardmachine learning algorithmmedical schoolsmembermultidisciplinarynanonanosensorsnext generationnovel virusoperationpreventprogramsprototypepublic health emergencyracial diversitysample collectionscreeningscreening programsensorsexsoftware developmentsoftware systemsvaporvolatile organic compound
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY
COVID-19 presents a public health emergency: There is a critical need for rapid, not reagent intensive, non-
invasive testing technologies. This program will lead to the production of a prototype system to diagnose
COVID-19 infection using the body odor signature of the disease. Our goal is to maximize societal impact
by creating a validated prototype that can be used in a community or workplace setting by minimally
trained personnel for low-cost, on-the-spot diagnosis within minutes. The system will be developed in a
manner that puts it on a pathway for rapid FDA approval. The Research Aims are:
Aim 1. Optimization, assembly, and integration of a prototype system with the ability to odor signature
of COVID-19 in samples of body odor. The system will be simple to use, pose essentially zero risk to the
operator and the test subject, and report a result within minutes. The production cost at scale will be
approximately $9,000 for the complete measurement system, with a per test cost of approximately $0.50. The
design and construction of the prototype will be conducted by Novo Engineering, a leading firm with extensive
experience in medical device development.
Aim 2. Software development. Software for the system from VOC sampling to final diagnostic result will be
developed to ensure error-free operation of the device. Our preliminary results suggest that simple linear
discriminant analysis (LDA) does an excellent job of classifying VOCs from human body odor as COVID-19
positive or negative (92% sensitivity and 87% specificity). Optimization of the sensor array (Aim 1) and use of
richer feature sets in our classifier models will lead to further performance improvements in the prototype system.
Aim 3. System Benchmarking and Validation. We will benchmark the full prototype system against a number
of VOC mixtures, with and without in vitro skin models. The system will undergo extensive testing against body
odor samples from individuals with pathological conditions other than COVID-19 and other sources of potentially
confounding VOCs. The prototype will be validated against 1000 samples drawn from the COVID-SAFE program
at Penn. The screening will include all members of the Penn community, and represents incredible racial and
ethnic diversity as well as a wide variance in age, sex, and gender.
Aim 4. Regulatory Approval Plan The plan will be developed under the direction of Sr/Key personnel John
Fuson, JD, an attorney at Crowell & Moring LLP and a former Associate Chief Counsel at FDA. Novo Engineering
has extensive experience in guiding prototype design in alignment with the requirements for FDA approval. The
proposed COVID-19 VOC-based testing device will be regulated by the FDA, likely as a Class I or II medical
device. Because there is no clear predicate device to reference in this case, we intend to submit a direct de novo
petition to FDA asking the agency to categorize and clear the proposed COVID-19 testing device as Class I or
Class II without reference to any predicate.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.3390/diagnostics13040707
发表时间:
2023-02-13
期刊:
DIAGNOSTICS
影响因子:
3.6
作者:
[Crespo-Cajigas, Janet, Gokool, Vidia A. A., Torres, Andrea Ramirez, Forsythe, Liam, Abella, Benjamin S. S., Holness, Howard K. K., Johnson, Alan T. Charlie, Postrel, Richard, Furton, Kenneth G. G.]
通讯作者:
Furton, Kenneth G. G.
Effective, Reagent-free Detection of the Odor Signature of Covid-19 Infection Using a Nano-Enabled Sensor Array
-
批准号:10266403
-
项目类别:
-
资助金额:$99.98万
-
财政年份:2020
-
负责人:Alan T Johnson
-
依托单位:
国内基金
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