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Flexible and Printable Sensors for Early Detection of Food Spoilage . This project aims to develop a technological platform for the fabrication of flexible sensors that enable the detection of food spoilage and life threatening microbial contamination. By engineering stimuli-responsive inks, colorimetric, chemiresistive, and impedimetric sensor arrays will be printed on flexible plastics and paper substrates. The printed sensor arrays will respond to gases and volatile compounds generated from f ....Flexible and Printable Sensors for Early Detection of Food Spoilage . This project aims to develop a technological platform for the fabrication of flexible sensors that enable the detection of food spoilage and life threatening microbial contamination. By engineering stimuli-responsive inks, colorimetric, chemiresistive, and impedimetric sensor arrays will be printed on flexible plastics and paper substrates. The printed sensor arrays will respond to gases and volatile compounds generated from food deterioration and spoilage, microbial pathogen, temperature and pH by a change in their colour or electrical properties, hence providing real-time measurements. The project will enable to design efficient data-driven decision making tools along the supply chain to enhance food safety and reduce food waste. Read moreRead less
Prediction of fruit quality by non-invasive assessment, with special reference to avocado. The project aims to develop non-invasive rapid assessment techniques of avocado quality (dry matter percentage, oil content, susceptibility to rots) suitable for application in at-line, in-line and in-field settings using NIR spectroscopic methods. The development and introduction of these non-invasive technologies into the avocado industry will allow rapid low-cost testing to support existing quality con ....Prediction of fruit quality by non-invasive assessment, with special reference to avocado. The project aims to develop non-invasive rapid assessment techniques of avocado quality (dry matter percentage, oil content, susceptibility to rots) suitable for application in at-line, in-line and in-field settings using NIR spectroscopic methods. The development and introduction of these non-invasive technologies into the avocado industry will allow rapid low-cost testing to support existing quality control procedures. The technology has the potential to enhance the competitive advantage of Australian producers/processors by guaranteeing high quality and optimising shelf-life. The ability to deliver a differentiated product will maximise sales in existing markets and facilitate the targeting of new domestic and overseas markets.Read moreRead less
Developing New Multifunctional Layered Particles with Novel Modular Food Processing Systems. The global market for organic foods has a value of approximately $150 billion, indicating the high potential export market. Australia's organic industry is currently valued at $350M, with annual growth of 25%. Alternatives to chemical preservatives in products such as breads are in demand, and Australian essential oils show promise, but new technology is required to value-add products from essential oil ....Developing New Multifunctional Layered Particles with Novel Modular Food Processing Systems. The global market for organic foods has a value of approximately $150 billion, indicating the high potential export market. Australia's organic industry is currently valued at $350M, with annual growth of 25%. Alternatives to chemical preservatives in products such as breads are in demand, and Australian essential oils show promise, but new technology is required to value-add products from essential oil producers. Spray drying will be used with the smart coating of extracts, such as antimicrobial compounds, as natural preservatives that promote the shelf life of foods, benefitting service providers, the wider food industry and consumers. Read moreRead less
Enhancing the Production of Functional Food Powders by Studying Reaction Processes in Spray Dryers. The project is a key component of a technical development program that has the potential to make a very large contribution to the processing of functional foods resulting in products of high value for nutritional use. The total national crop of cereals, pulses, oil seeds, fruit and vegetables is thirty million tonnes/year. Over three million tonnes/year of waste are produced, containing three mi ....Enhancing the Production of Functional Food Powders by Studying Reaction Processes in Spray Dryers. The project is a key component of a technical development program that has the potential to make a very large contribution to the processing of functional foods resulting in products of high value for nutritional use. The total national crop of cereals, pulses, oil seeds, fruit and vegetables is thirty million tonnes/year. Over three million tonnes/year of waste are produced, containing three million kilogrammes of bioactive compounds, valued at a minimum of $1,000/kg, giving an estimated potential value of $3 billion/year. If only 10% of this potential is captured, then the national benefit would be as high as A$300 million/year.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC130100021
Funder
Australian Research Council
Funding Amount
$2,100,000.00
Summary
ARC Training Centre for Advanced Technologies in Food Manufacture. Training Centre for Advanced Technologies in Food Manufacture. This Training Centre for Advanced Technologies in Food Manufacture will enable Australian food processing and manufacturing companies to meet the increasing threats of international competition. It will do this through collaboration between industry and the Training Centre’s food science, nutrition and engineering researchers and the development of innovative technolo ....ARC Training Centre for Advanced Technologies in Food Manufacture. Training Centre for Advanced Technologies in Food Manufacture. This Training Centre for Advanced Technologies in Food Manufacture will enable Australian food processing and manufacturing companies to meet the increasing threats of international competition. It will do this through collaboration between industry and the Training Centre’s food science, nutrition and engineering researchers and the development of innovative technologies.
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Understanding of structure development in drying droplets through the stickiness paradigm. The aims of this research are to develop a new model for multicomponent droplet drying. This model will provide predictions of conditions where composition variation exists in the drying particles. Validation of the model will be made using a novel instrument to measure the in-situ development of surface stickiness during drying. Stickiness is an important issue encountered during drying and handling of so ....Understanding of structure development in drying droplets through the stickiness paradigm. The aims of this research are to develop a new model for multicomponent droplet drying. This model will provide predictions of conditions where composition variation exists in the drying particles. Validation of the model will be made using a novel instrument to measure the in-situ development of surface stickiness during drying. Stickiness is an important issue encountered during drying and handling of some key food and consumer materials. Currently, there is no technique to measure the evolution of stickiness during drying. Key outputs will include the model, the instrument, and the development of efficient methods to generate the multicomponent data.Read moreRead less
Fruit shape estimation from stereoscopic images in real time. The research aims at improving the process of automatic fruit inspection and classification.
Existing stereo vision algorithms to extract depth information are unsuitable for real time calculations.
The increasing complexity and reducing cost of field programmable gate arrays along with the development of algorithms that have a high degree of parallelism and locality has created
the possibility of performing the calculation ....Fruit shape estimation from stereoscopic images in real time. The research aims at improving the process of automatic fruit inspection and classification.
Existing stereo vision algorithms to extract depth information are unsuitable for real time calculations.
The increasing complexity and reducing cost of field programmable gate arrays along with the development of algorithms that have a high degree of parallelism and locality has created
the possibility of performing the calculations required in real time.
This projects aims to investigate the suitability of the various stereo vision algorithms available in the literature for real time hardware implementation with application to fruit shape estimation it real time.
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Stochastic Scheduling for Production and Delivery of Perishable Products with Imperfect Information. Australia has a wide range of industries producing perishable goods such as wheat, fruit, vegetables, meat, milk, seafood and health products, as well as fashion and entertainment goods. These industries play a critical role in the Australian economy, as well as impacting on national health and the environment. This project will provide new strategies, models and techniques to increase efficiency ....Stochastic Scheduling for Production and Delivery of Perishable Products with Imperfect Information. Australia has a wide range of industries producing perishable goods such as wheat, fruit, vegetables, meat, milk, seafood and health products, as well as fashion and entertainment goods. These industries play a critical role in the Australian economy, as well as impacting on national health and the environment. This project will provide new strategies, models and techniques to increase efficiency in both the production and delivery of perishable products. The outcomes of the project will enable decision makers in industries handling perishable products to optimise the use of resources, reduce costs and waste, raise productivity and improve services. The nation will benefit with higher export income and better quality of consumer products.Read moreRead less
Surface Modification of Spray-Dried Powders By Surface-Active Proteins. Internal wall deposits in spray dryers lead to product degradation and pose fire hazards. This situation has limited the manufacturing of high value bio-food powders by the Australian bio-food and dairy industry, which exports 13% of the milk powder in the world. The specific economic benefits to Australia from this project arise from innovative surface modification of powder particles by proteins, development of scientific ....Surface Modification of Spray-Dried Powders By Surface-Active Proteins. Internal wall deposits in spray dryers lead to product degradation and pose fire hazards. This situation has limited the manufacturing of high value bio-food powders by the Australian bio-food and dairy industry, which exports 13% of the milk powder in the world. The specific economic benefits to Australia from this project arise from innovative surface modification of powder particles by proteins, development of scientific instruments and predictive tools based on Computational Fluid Dynamics (CFD). These outcomes will lead to production of free flowing powders from bio-food materials.Read moreRead less
Design and Optimisation of Spinning Cone Columns. This project will optimise the design and operation of spinning cone columns, a novel industrial distillation technology that has been developed in Australia. Novel and significant outcomes include applying Computational Fluid Dynamics to the design and optimisation of food processing equipment, understanding fundamental modelling issues in simulating strongly swirling flows, and allowing scale-up to be performed reliably from first principles. ....Design and Optimisation of Spinning Cone Columns. This project will optimise the design and operation of spinning cone columns, a novel industrial distillation technology that has been developed in Australia. Novel and significant outcomes include applying Computational Fluid Dynamics to the design and optimisation of food processing equipment, understanding fundamental modelling issues in simulating strongly swirling flows, and allowing scale-up to be performed reliably from first principles. The result will be a "virtual model" of the equipment, allowing design and optimisation of the equipment to be performed from first principles.Read moreRead less