Portable GC detector for breath-based COVID diagnostics
用于基于呼吸的新冠肺炎诊断的便携式 GC 检测器
基本信息
- 批准号:10321008
- 负责人:
- 金额:$ 89.85万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-12-21 至 2024-02-29
- 项目状态:已结题
- 来源:
- 关键词:2019-nCoVAerospace EngineeringAppointmentArtificial IntelligenceAutomatic Data ProcessingBenchmarkingBiological MarkersBreath TestsCOVID diagnosticCOVID-19COVID-19 diagnosisCOVID-19 diagnosticCOVID-19 testCaliforniaCatalogsChemicalsClinicalClinical ChemistryClinical PathologyClinical TrialsComputer softwareConsultationsContact TracingContractsCoupledCustomDataData AnalysesDetectionDevelopmentDevicesDiagnosisDiagnosticDiagnostic testsDiseaseEngineeringEnvironmentExhalationFeedbackFingerprintFlushingFundingGas ChromatographyGasesGoalsGoldHealthcareHealthcare SystemsHeatingHuman ResourcesIndividualIndustryInfectionIntuitionJointsLeadLiquid substanceMachine LearningManufacturer NameMapsMass Spectrum AnalysisMaterials TestingMathematicsMeasurementMeasuresMechanicsMedical centerNational Institute of Biomedical Imaging and BioengineeringObservational StudyOutputPatternPersonsPolymerase Chain ReactionProcessProductionPublic HealthPublishingRapid diagnosticsReagentRegulatory PathwayResearchSARS-CoV-2 infectionSARS-CoV-2 negativeSARS-CoV-2 positiveSamplingSensitivity and SpecificitySiteSkinSpectrometryStandardizationSystemTechnologyTemperatureTestingTimeTrainingTranslational ResearchUnited StatesUnited States National Institutes of HealthUpper Respiratory InfectionsViralWorkartificial intelligence algorithmbasebiomarker signatureclinical carecommunity transmissiondetectordeviantdifferential expressiondisease transmissiongraphical user interfaceinstrumention mobilitylarge scale productionmachine learning algorithmmetabolomicsmobile sensornovelnovel diagnosticspandemic diseaseportabilitypressureprogramsprospectiveprototyperecruitrisk mitigationscale upsensorstandard of carevolatile organic compound
项目摘要
Project Summary/Abstract: This proposal has two major goals: 1) Define signature exhaled breath volatile
organic compounds (VOCs) to diagnose SARS-CoV-2 infections, and 2) Develop a portable chemical sensing
device that can capture and detect exhaled VOCs and includes machine learning algorithms for automated
data processing and results interpretation. This project will bring a portable sensor forward into clinical use with
the aim of supplementing COVID-19 diagnostics with a reagentless alternative. Breath testing of exhaled VOC
biomarkers is a relatively new concept that has the potential to transform healthcare in the US and globally.
Our overarching hypothesis is that a miniature breath analysis device can measure signatures of exhaled
breath VOCs in real-time and correlate their profile to viral upper respiratory infections such as SARS-CoV-2,
even asymptomatically. In Aim #1, we propose a prospective, observational study to analyze breath samples
from COVID-19 positive and negative subjects, solely for the purpose of analysis through gold standard GC-
MS to define breath VOC biomarkers of infection. We will recruit subjects at two local sites, the UC Davis
Medical Center (Sacramento, CA) and VA Northern California Health Care System (Mather, CA), where MPI
Dr. Kenyon and Co-Is Drs. Harper and Schivo have joint clinical appointments. Our group has a proven track
record to conduct these types of clinical breath studies. In Aim #2, we will develop a portable breath analysis
device using our novel miniature differential mobility spectrometry (DMS) detector, coupled with chip-based
gas chromatography. DMS is a subset of ion mobility spectrometry and detects VOCs at ambient temperatures
and pressures, making it highly appropriate for portable devices. This device would include our custom chip-
based preconcentrator, which is packed with a chemical sorbent for extraction of VOCs from breath, and will
compare functionality of a compact commercially available GC column to a micro-GC column chip from
Deviant, a subcontractor in this work. Individual components of this device have already been developed, and
under direction of MPI Prof. Davis, Chair of Mechanical and Aerospace Engineering, a team of research
engineers would integrate these pieces together into a single unit. Collaborator Prof. Chuah would guide
development of a custom software package for the device with machine learning and artificial intelligence
capabilities for automated data processing and interpretation. The device would be placed in the hands of
clinicians, who would provide feedback that engineers would immediately incorporate into the device and
return to the clinicians for more testing. Under Aim #3, our team would process the GC-MS and GC-DMS data
generated in this work, identifying a novel VOC profile for COVID-19 diagnostics. Aim #4 would initiate towards
the end of this study to develop both a regulatory pathway & contract manufacturing plan for large scale
production and deployment of the device for clinical approval. These efforts are supported by collaborator Dr.
Nam Tran, Director of Clinical Pathology & Clinical Chemistry at the UC Davis Medical Center.
项目摘要/摘要:本课题主要有两个目标:1)定义呼出挥发性签名
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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CRISTINA ELIZABETH DAVIS其他文献
CRISTINA ELIZABETH DAVIS的其他文献
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{{ truncateString('CRISTINA ELIZABETH DAVIS', 18)}}的其他基金
Monitoring of disease-induced skin VOC patterns from handheld and wearable chemical sensors
通过手持式和可穿戴化学传感器监测疾病引起的皮肤 VOC 模式
- 批准号:
10426964 - 财政年份:2022
- 资助金额:
$ 89.85万 - 项目类别:
Monitoring of disease-induced skin VOC patterns from handheld and wearable chemical sensors
通过手持式和可穿戴化学传感器监测疾病引起的皮肤 VOC 模式
- 批准号:
10651755 - 财政年份:2022
- 资助金额:
$ 89.85万 - 项目类别:
A novel, hand-held, exhaled breath condensate sampler for the clinical research market; applications for asthma, pulmonary injury and inflammation.
一款面向临床研究市场的新型手持式呼出气体冷凝采样器;
- 批准号:
10323623 - 财政年份:2021
- 资助金额:
$ 89.85万 - 项目类别:
Portable GC detector for breath-based COVID diagnostics
用于基于呼吸的新冠肺炎诊断的便携式 GC 检测器
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10266337 - 财政年份:2020
- 资助金额:
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小儿哮喘可穿戴监测仪:开发与肺活量测定相关的环境和呼吸传感器
- 批准号:
9077049 - 财政年份:2015
- 资助金额:
$ 89.85万 - 项目类别:
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