Annual Report - Center for Food Safety Engineering - Purdue ...

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Nivens, Franklin and CorvalanContinuous monitoring of chemical agents in aqueousmedia using bioreporter-based sensorsInvestigators: David Nivens (Department of Food Science), Michael Franklin (Montana State University), Carlos Corvalan (Department of Food Science)Project RationaleChemical contamination of our food supply threatens the heathof consumers and has become a major concern. As societiesbecome more populated and technologically-advanced, sourcesof pollution and the potential for contamination (inherent,unintentional, or intentional) are increasing. Inexpensivesensors that have analytical capabilities of detecting harmfulchemicals in food would facilitate our nation’s ability to protectits food supply and minimize health concerns associated withcontamination. We proposed to develop bioreporter-basedchemical sensors consisting of genetically programmed cells(bioreporters), a disposable cartridge system containing thebioreporters, and a detection/communication module for Webbasedand/or networked-based assessment capabilities. Withthe successful development of this technology, we anticipate thatthe bioreporter-based chemical sensors will have the analyticalcapabilities required to fi ll a critical need in the food industry.In addition to being potentially inexpensive, these biosensorsare being developed to detect a hazardous chemical belowimmediately dangerous to health of life (IDHL) limits, minimizefalse positives and negatives, have rapid response times, andbe simple to use. We envision that the sensors could be usedwith standard food defense practices to further facilitate a safefood supply.Project Objectives• Develop a dual-signaling bioreporter that minimizesfalse negatives by using bioluminescence andfl uorescence signal for hazardous chemical detection.• Develop a microenvironment that containsprogrammable cells and nutrients to increase thestability and extend the lifetime of the biosensor.• Construct novel bioreporters with optimalanalytical performance for point-of-use andlong-term monitoring experiments.• Model the systems to improve all aspects of analyticalperformance and develop application-specifi cbiosensors for food and agriculture systems.Project HighlightsBioreporter-based chemical sensor technology was used toquantify arsenite concentrations (one of the most hazardousforms of arsenic) in liquid food matrices including milk, fruitjuices, and bottled water with minimal or no sample preparation.For example, various amounts of arsenite were spiked intothe undiluted apple juice samples (arsenite is a commoncontaminate found in apple orchards). An aliquot of eachsample was then exposed to the sensor to generate timedependentlinear calibration curves. Results showed thatapple juice samples with 10 parts per billion (μg/L) arsenitecould be quantifi ed in less than 2 hours. Web- and networkbasedsoftware was developed to monitor the responses of thebioreporter-based sensors and generate a warning signal whenthe analyte concentration exceeded a predetermined alarmlevel. These fi ndings indicate that our technology potentially canbe used by minimally trained food and agricultural workers todetect arsenite (and eventually other contaminates) in a liquidfood matrix at or below chronic and acute minimal risk levels.14Center for Food Safety Engineering“...our technology potentially can be used by minimally trained food and agriculturalworkers to detect arsenite (and eventually other contaminates) in a liquid food matrix...”
Park, Leary and AronsonField-ready biosensors for high throughput andmultiplexed detection of foodborne pathogensInvestigators: Kinam Park (Department of Biomedical Engineering), James Leary (Department of BiologicalEngineering), Arthur Aronson (Department of Biological Sciences)Project RationaleThe increased incidence of pathogen-contaminated food placesa new emphasis on the rapid detection and quantifi cation offoodborne pathogens. Therefore, we are developing a surfaceplasmon resonance (SPR) imaging biosensor for the rapid, labelfree,and high throughput detection of foodborne pathogens. Thisdevice integrates an SPR imaging system with a biosensor arrayimmobilized onto a sample surface containing specifi c shortpeptide ligands. A group of short peptides specifi c to certainpathogenic bacteria will be microcontact-printed on a gold chipin linear patterns. This peptide-imprinted gold chip functions as abiosensor array for the specifi c detection of unknown foodbornepathogens. To determine what fraction of pathogenic bacteriaare live or dead and to confi rm the SPR results, we have createda novel hybrid SPR/molecular imaging portable system.The device would offer a commercial advantage to the foodprocessing industry. It is miniaturized, has fewer components,and is easier to use compared to the current detection systems.This biosensor would detect foodborne pathogens present in
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