High-value functional ingredients from bean processing waste. Legumes are considered highly nutritious and sustainable food. Accordingly, there is a steady growth in the consumption of legumes worldwide, including in Australia. Due to lengthy soaking and cooking times, consumers prefer ready-to-eat canned legumes. The current processing technologies are energy and water-intensive and generate considerable waste. This project investigates the application of non-thermal technologies to reduce pro ....High-value functional ingredients from bean processing waste. Legumes are considered highly nutritious and sustainable food. Accordingly, there is a steady growth in the consumption of legumes worldwide, including in Australia. Due to lengthy soaking and cooking times, consumers prefer ready-to-eat canned legumes. The current processing technologies are energy and water-intensive and generate considerable waste. This project investigates the application of non-thermal technologies to reduce processing time, water and energy use and enable the recovery of valuable polyphenols and soluble dietary fibres normally lost in the wastewater. This knowledge will lead to sustainable beans processing, delivering improved productivity to Australian manufacturers and quality food to Australian consumers.Read moreRead less
Incorporation of legume protein in liquid breakfast for a healthy Australia. This project aims to understand and control the properties and interactions of legume protein with other ingredients (e.g. whey protein and dietary fibre) to formulate healthy liquid foods with superior techno-functionality. This research should significantly broaden our understanding of the behaviour of legume protein-phospholipid complexes and their contribution to malodorous flavour development. The expected outcomes ....Incorporation of legume protein in liquid breakfast for a healthy Australia. This project aims to understand and control the properties and interactions of legume protein with other ingredients (e.g. whey protein and dietary fibre) to formulate healthy liquid foods with superior techno-functionality. This research should significantly broaden our understanding of the behaviour of legume protein-phospholipid complexes and their contribution to malodorous flavour development. The expected outcomes are protocols to prevent undesirable sensory characteristics in liquid foods. This should benefit the food industry by improving the sensory attributes of beverages enriched with legume protein, leading to the creation of novel, highly nutritious products with superior sensory attributes and long shelf-life.Read moreRead less
Intelligent bioprocessing for next-generation nutritional yeast extracts. This project aims to provide new, science-based levers for optimising the industrial production of tailormade yeast extracts for food applications. Advanced biochemical and engineering methods will be used to develop new knowledge of the links between yeast growth conditions, cell biochemistry, processing and the flavour and texture profiles of yeast hydrolysates. This understanding will allow the properties of yeast hydro ....Intelligent bioprocessing for next-generation nutritional yeast extracts. This project aims to provide new, science-based levers for optimising the industrial production of tailormade yeast extracts for food applications. Advanced biochemical and engineering methods will be used to develop new knowledge of the links between yeast growth conditions, cell biochemistry, processing and the flavour and texture profiles of yeast hydrolysates. This understanding will allow the properties of yeast hydrolysates to be accurately tuned during yeast production and processing. The resulting process improvements and innovations will increase the efficiency and quality of current yeast extract products and allow the development of new food products.Read moreRead less
Towards New Functionality in Dairy Ingredients. The Australian dairy industry plays a significant part in the nation’s economy, with almost $3 billion in export revenue in 2016-2017. Powdered dairy products extend shelf life and ease of transport, with >20% annual growth in premium products, such as milk protein concentrates and infant formula powders. This project aims to support the development of value-added dairy powders by investigating the impact of a novel high pressure processing technol ....Towards New Functionality in Dairy Ingredients. The Australian dairy industry plays a significant part in the nation’s economy, with almost $3 billion in export revenue in 2016-2017. Powdered dairy products extend shelf life and ease of transport, with >20% annual growth in premium products, such as milk protein concentrates and infant formula powders. This project aims to support the development of value-added dairy powders by investigating the impact of a novel high pressure processing technology in enhancing the properties of dairy powders and/or introducing new functionality. Successful outcomes will help expand the offering of high value dairy ingredients and thus increase the global competitiveness of Australian dairy manufacturing.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100045
Funder
Australian Research Council
Funding Amount
$3,582,638.00
Summary
ARC Training Centre for Uniquely Australian Foods. The ARC Training Centre for Uniquely Australian Foods aims to provide a cohort of trained and industry-ready researchers who can lead the native foods industry forward. It plans to transform the native food and agribusiness sector, through the development of selected crops, foods and ingredients. The Centre will use an Indigenous governance group to oversee the process of converting traditional knowledge into branded products. Expected outcomes ....ARC Training Centre for Uniquely Australian Foods. The ARC Training Centre for Uniquely Australian Foods aims to provide a cohort of trained and industry-ready researchers who can lead the native foods industry forward. It plans to transform the native food and agribusiness sector, through the development of selected crops, foods and ingredients. The Centre will use an Indigenous governance group to oversee the process of converting traditional knowledge into branded products. Expected outcomes include technical information to support branding and market development, best practice development in social factors and legal arrangements for benefit sharing. This Centre will help drive sustainable growth of high-value products within the premium Australian food sector.
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Discovery Early Career Researcher Award - Grant ID: DE220100055
Funder
Australian Research Council
Funding Amount
$451,415.00
Summary
Impact of seaweed polyphenols on gut health: Gut microbiome modulation. This project aims to understand the true impact of seaweed polyphenols on the gut microbiome and develop methods to improve their bioavailability, bioaccessibility and bioactivities in the gut. The project's use of cutting-edge analytical tools helps to investigate the movement and absorption of phenolic compounds across the gut. This project expects to explore new knowledge in the area of marine-based functional foods and t ....Impact of seaweed polyphenols on gut health: Gut microbiome modulation. This project aims to understand the true impact of seaweed polyphenols on the gut microbiome and develop methods to improve their bioavailability, bioaccessibility and bioactivities in the gut. The project's use of cutting-edge analytical tools helps to investigate the movement and absorption of phenolic compounds across the gut. This project expects to explore new knowledge in the area of marine-based functional foods and their health benefits using an innovative interdisciplinary approach. The success of this project will ultimately provide a new pathway for the development of functional foods that will help to improve the health status of Australians by consuming healthy food ingredients.Read moreRead less
Chemicals in compostable food contact paper packaging materials. The aim of this project is to understand the presence of persistent chemicals in recyclable and compostable food contact materials (FCMs). These types of products are destined for recycling or biowaste streams that bridge the gap from take-make-dispose and into a circular economy. Currently, the knowledge of the chemicals in these products is limited but we need to ensure that they are safe and do not unnecessarily contaminate reso ....Chemicals in compostable food contact paper packaging materials. The aim of this project is to understand the presence of persistent chemicals in recyclable and compostable food contact materials (FCMs). These types of products are destined for recycling or biowaste streams that bridge the gap from take-make-dispose and into a circular economy. Currently, the knowledge of the chemicals in these products is limited but we need to ensure that they are safe and do not unnecessarily contaminate resource recovery streams. It is expected that this project will develop a framework that could be used by industry and government to prevent chemicals of concern persisting in a circular economy, providing environmental and economic benefits through reduced risk of chemical exposure and unnecessary remediation costs.Read moreRead less
Fairness in Natural Language Processing. Natural language processing (NLP) has achieved spectacular commercial successes in recent years, and has been deployed across an ever-increasing breadth of devices and application areas. At the same time, there has been stark evidence to indicate that naively-trained models amplify biases in training data, and perform inconsistently across text relating to different demographic groupings of individuals. This project aims to systematically quantify the ext ....Fairness in Natural Language Processing. Natural language processing (NLP) has achieved spectacular commercial successes in recent years, and has been deployed across an ever-increasing breadth of devices and application areas. At the same time, there has been stark evidence to indicate that naively-trained models amplify biases in training data, and perform inconsistently across text relating to different demographic groupings of individuals. This project aims to systematically quantify the extent of such biases, and develop models that are both more socially equitable, as well as less prone to expose private data in the learned representations. In doing so, it will make NLP more accessible to new populations of users, and remove socio-technological barriers to NLP uptake.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less