A Paper-Based Synthetic Biology Platform for the On-Demand Testing of Water Quality
A Paper-Based Synthetic Biology Platform for the On-Demand Testing of Water Quality
批准号:
10010640
负责人:
Khalid Kamal Alam
金额:
$22.5万
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
项目状态:
已结题
起止时间:
2020-09-09 至 2022-08-31
关键词:
AddressAgingAnalytical ChemistryAntibioticsArsenicBiochemical ReactionBioinformaticsBiosensing TechniquesBiosensorBusinessesCell-Free SystemCellsCharacteristicsChronicCollectionConsumptionDataDepositionDetectionDevelopmentDevelopmental DisabilitiesDevicesEngineeringEnsureEquipmentEvaluationEventFailureFiltrationFreeze DryingFresh WaterGene ExpressionGene Expression ProcessGoalsHealthHeavy MetalsHome environmentHomologous GeneIn VitroIndividualIndustrializationInfrastructureIonsLaboratoriesLeadLead PoisoningLigandsLiteratureMalignant NeoplasmsMetalsMethodsMicrofluidicsMiningModelingMonitorMunicipalitiesNatureOutcomePaperPatternPerformancePesticidesPhasePoisonPropertyProteinsPublic HealthReactionRehydrationsReporterReporter GenesRiskSafetySamplingSensitivity and SpecificitySeriesSignal TransductionSiteSmall Business Innovation Research GrantSourceSpecificityStreamStructureSuperfundTechnical ExpertiseTechniquesTechnologyTestingTimeToxinTransportationTubeVariantVisionWaterWater PollutionWater SupplyWorkanthropogenesisaqueousbasebioinformatics pipelinecell assemblycontaminated drinking watercontaminated watercostdevelopmental diseasedrinking waterimprovedinnovationinterestmanufacturing scale-upnew technologypreservationpreventprototyperesponsescale upscreeningsensorsmall moleculesynthetic biologytranscription factoruser-friendlywater qualitywater samplingwater testing
中文摘要
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英文摘要
Safe drinking water is essential for public health, yet is increasingly threatened by anthropogenic activities and
aging infrastructure that contaminate it with heavy metals and other toxins. This is especially true near Superfund
and brownfield sites, where industrial activity is either known or suspected to have resulted in pollution of water
sources. Most notable is the contamination of drinking water with lead and arsenic, which can result in lead
poisoning and arsenicosis, respectively, and can contribute to developmental disorders, physical abnormalities,
and cancer. Upon discovery, these contaminants can be mitigated by existing purification technologies.
However, as recent events such as the crises in Flint, MI or Newark, NJ exemplify, the combination of improper
water management and filtration failure is leading to major public health threats. Part of the solution to the
challenge of safe water management is frequent water quality testing. However, reliable testing remains limited
to analytical chemistry techniques that are costly, time consuming, and require substantial laboratory
infrastructure and technical expertise. This complicates the large scale testing needed to address critical water
management issues, and has been a large barrier for the routine testing of water supplies by consumers. Here
we propose to address these issues by developing a new technology platform that will allow for the reliable, low-
cost, on-site and on-demand monitoring of harmful contaminants within water supplies. Our technology is built
from recent innovations in synthetic biology that allow the repurposing of natural allosteric transcription factors
that can sense specific toxic ligands, such as heavy metals, and respond by activating gene expression. The
use of cell-free synthetic biology reactions that support gene expression processes and visible gene expression
reporters allows the assembly of “cell-free biosensors”, which are in vitro reactions that can be freeze-dried for
long term storage and simple distribution. Rehydration of these sensors with a water sample then activates the
reaction and produces a detectable signal in the presence of a toxic compound. This Phase I proposal details a
series of complementary aims for achieving improved specificity and sensitivity of this biosensing platform, in
the context of detecting lead and arsenic as model target contaminants of significant health concern, and
incorporating it within a convenient paper-based format suitable for consumer use. Our approach includes the
development and application of bioinformatic approaches to identify naturally-occurring transcription factor
homologues with improved performance characteristics, high throughput cell-free synthetic biology approaches
to rapidly characterize their performance, and new manufacturing techniques to embed and test these sensors
on paper-based substrates. A successful outcome of this proposal will lead to a multiplexed, paper-based device
that will address the problem of reliable and affordable water quality monitoring for the contaminants lead and
arsenic. This work will establish a proof-of-concept of this technology that will enable the Phase II goals of
achieving user-guided product specifications in real-world water samples and manufacturing scale-up.
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A Paper-Based Synthetic Biology Platform for the On-Demand Testing of Water Quality
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批准号:10707180
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项目类别:
-
资助金额:$95.39万
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财政年份:2022
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负责人:Khalid Kamal Alam
-
依托单位:
A Paper-Based Synthetic Biology Platform for the On-Demand Testing of Water Quality
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批准号:10483253
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项目类别:
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资助金额:$77.68万
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财政年份:2022
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负责人:Khalid Kamal Alam
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依托单位:
A Paper-Based Synthetic Biology Platform for the On-Demand Testing of Water Quality
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批准号:10338037
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项目类别:
-
资助金额:$5.2万
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财政年份:2021
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负责人:Khalid Kamal Alam
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依托单位:
海外基金