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Scheme : Discovery Projects
Australian State/Territory : TAS
Research Topic : Food processing
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  • Researchers (25)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0559874

    Funder
    Australian Research Council
    Funding Amount
    $220,000.00
    Summary
    Integrating electrophysiology and molecular biology to understand the role of cell membranes in bacterial responses to chill and osmotic stress. Modern food manufacture is driven by competing demands: consumers prefer foods that are 'natural', i.e. having received minimal processing and containing less preservatives, and last, but are safe. Thus, a challenge is to find minimal sets of treatments and preservatives that limit microbial growth. Current methods to for determining limits to microbi .... Integrating electrophysiology and molecular biology to understand the role of cell membranes in bacterial responses to chill and osmotic stress. Modern food manufacture is driven by competing demands: consumers prefer foods that are 'natural', i.e. having received minimal processing and containing less preservatives, and last, but are safe. Thus, a challenge is to find minimal sets of treatments and preservatives that limit microbial growth. Current methods to for determining limits to microbial growth are time and consuming and empirical. We will assess the potential of a new method (MIFE) to rapidly measure limits of bacterial growth under combinations of treatments. At the same time we will study how cells, and in particular how the cell membrane, responds to these stresses to provide insights for the development of new, minimal - yet safe - food preservation technologies.
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    Funded Activity

    Discovery Projects - Grant ID: DP130101327

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210102493

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Understanding algal bloom microbiome function to improve seafood safety. Current phytoplankton ecological theory is derived primarily from lab cultures, but in nature phytoplankton have unique microbiomes that support their growth and ongoing ocean primary production. This project aims to establish the structure and function of these natural microbiomes, and how they contribute to seafood poisoning caused by bacteria and algal biotoxins. Using advanced flow cytometry with single-cell microbial .... Understanding algal bloom microbiome function to improve seafood safety. Current phytoplankton ecological theory is derived primarily from lab cultures, but in nature phytoplankton have unique microbiomes that support their growth and ongoing ocean primary production. This project aims to establish the structure and function of these natural microbiomes, and how they contribute to seafood poisoning caused by bacteria and algal biotoxins. Using advanced flow cytometry with single-cell microbial profiling, we will sample nano-scale plankton microbiomes and synthetic microbiome phylogenomics to the link between microbiomes and seafood poisoning outbreaks. The outcomes will underpin enhanced predictive modelling of seafood risk to ensure the safety and export security of Australia's $2 billion seafood industry.
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    Funded Activity

    Discovery Projects - Grant ID: DP1096499

    Funder
    Australian Research Council
    Funding Amount
    $310,000.00
    Summary
    A more intelligent knowledge-based system apprentice. Our previous techniques already had an impact on Australian industry, with five Australian companies marketing such technology, and for three of these it is a central technology. We expect an early uptake of the enhancements we propose by these companies, greatly increasing their international competitiveness against other rule technologies. Three of these companies are very recent, so we would expect other company uptake of the new enhance .... A more intelligent knowledge-based system apprentice. Our previous techniques already had an impact on Australian industry, with five Australian companies marketing such technology, and for three of these it is a central technology. We expect an early uptake of the enhancements we propose by these companies, greatly increasing their international competitiveness against other rule technologies. Three of these companies are very recent, so we would expect other company uptake of the new enhanced technology. In turn Australian companies using the technology will improve their competitiveness in an increasingly knowledge-based economy by being able to more rapidly and easily deploy knowledge-based systems. Our previous techniques have already had a significant impact in medical practice.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102020

    Funder
    Australian Research Council
    Funding Amount
    $397,000.00
    Summary
    Managing infectious disease through partial wildlife social networks. This project aims to investigate the dynamics of the spread of infectious disease in wildlife, derived from incomplete information about contact networks. Infectious diseases in wildlife are difficult to track and control, because it is not feasible to monitor each individual in a population and know the contact network for a population. The project will create ways to best utilise incomplete observational data of contact netw .... Managing infectious disease through partial wildlife social networks. This project aims to investigate the dynamics of the spread of infectious disease in wildlife, derived from incomplete information about contact networks. Infectious diseases in wildlife are difficult to track and control, because it is not feasible to monitor each individual in a population and know the contact network for a population. The project will create ways to best utilise incomplete observational data of contact networks to develop robust predictions of disease spread and population fate, and to reliably predict the outcomes of management interventions. These robust prediction methods will provide better insights for conservation of Australian wildlife.
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