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Research Topic : Food processing
Australian State/Territory : VIC
Australian State/Territory : NSW
Socio-Economic Objective : Food Safety
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Veterinary Microbiology (excl. Virology) (2)
Bioinformatics Software (1)
Food Packaging, Preservation and Safety (1)
Food Sciences (1)
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Horticultural Production not elsewhere classified (1)
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Food Safety (4)
Control of Pests, Diseases and Exotic Species at Regional or Larger Scales (1)
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  • Funded Activity

    Industrial Transformation Training Centres - Grant ID: IC160100025

    Funder
    Australian Research Council
    Funding Amount
    $2,259,000.00
    Summary
    ARC Training Centre in Food Safety in the Fresh Produce Industry. ARC Training Centre in Food Safety in the Fresh Produce Industry. This centre aims to create an innovation platform of food safety researchers and industry personnel who can significantly advance the safety of fruit and vegetables in Australia. The intended outcomes are safer food, leading to enhanced health and wellbeing; industry growth in the food/agribusiness sector; enhanced trust and international reputation; and increased a .... ARC Training Centre in Food Safety in the Fresh Produce Industry. ARC Training Centre in Food Safety in the Fresh Produce Industry. This centre aims to create an innovation platform of food safety researchers and industry personnel who can significantly advance the safety of fruit and vegetables in Australia. The intended outcomes are safer food, leading to enhanced health and wellbeing; industry growth in the food/agribusiness sector; enhanced trust and international reputation; and increased access to growing export markets. Intended benefits to industry are ready-to-use technologies for strengthened food safety, and a new generation of highly-skilled food safety scientists with experience in conducting industry-focused research.
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    Funded Activity

    Linkage Projects - Grant ID: LP150100912

    Funder
    Australian Research Council
    Funding Amount
    $520,683.00
    Summary
    Improved biosecurity through the engineering of microbial ecosystems. This project aims to provide data and understanding that will help develop predictive models for changes in the distribution of drug-resistant bacteria, and surveillance and response programs for key biosecurity threats. Microorganisms, including commensals and pathogens, can live in complex communities in a range of environments including animal hosts. It is now known that these communities (known as microbiomes) can exert a .... Improved biosecurity through the engineering of microbial ecosystems. This project aims to provide data and understanding that will help develop predictive models for changes in the distribution of drug-resistant bacteria, and surveillance and response programs for key biosecurity threats. Microorganisms, including commensals and pathogens, can live in complex communities in a range of environments including animal hosts. It is now known that these communities (known as microbiomes) can exert a profound effect on animal health. This project seeks to understand where antimicrobial resistance genes reside in pig gut microbiotia and how they move between members of this complex microbial community, and to provide information on how probiotics may be used to reduce dependence on antibiotics.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100093

    Funder
    Australian Research Council
    Funding Amount
    $510,000.00
    Summary
    High-throughput technology targeting antimicrobial resistance in animals. This project aims to establish reference laboratories as biobanks for resistant isolate collections from veterinary diagnostic laboratories / surveillance programmes and a national research network to mitigate antimicrobial resistance in animals. Antimicrobial resistance in zoonotic/foodborne pathogens and livestock commensals is a global issue. This project will use mass-spectroscopy biotypers, information management soft .... High-throughput technology targeting antimicrobial resistance in animals. This project aims to establish reference laboratories as biobanks for resistant isolate collections from veterinary diagnostic laboratories / surveillance programmes and a national research network to mitigate antimicrobial resistance in animals. Antimicrobial resistance in zoonotic/foodborne pathogens and livestock commensals is a global issue. This project will use mass-spectroscopy biotypers, information management software, robotic liquid handling and a research dairy to develop high-throughput screening technologies to rapidly determine major animal species’ resistance status, and research anti-infectives and vaccines for livestock diseases. This will improve the health and production of Australian livestock, leading to greater market access for high quality products.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP180100593

    Funder
    Australian Research Council
    Funding Amount
    $496,349.00
    Summary
    Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply .... Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply Sequential Monte Carlo to update phylogenetic analyses continuously as new data arrives. Expected outcomes include new knowledge of statistical algorithms for evolutionary analysis, relevant to biological disciplines beyond infectious disease; and enhanced capacity for infectious disease analysis.
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    Showing 1-4 of 4 Funded Activites

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