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
Self-assembly of gelling biopolymer particles. Biopolymers provide a renewable source of structuring agents for a variety of potential uses in food, pharmaceutical and other applications that require bio-compatibility. Swollen biopolymer particles of sub-millimetre size are particularly useful as they combine macroscopic structure formation with an ability to flow and a desirable soft solid texture. Two limitations to the current utilisation of biopolymer particles are that they either cannot be ....Self-assembly of gelling biopolymer particles. Biopolymers provide a renewable source of structuring agents for a variety of potential uses in food, pharmaceutical and other applications that require bio-compatibility. Swollen biopolymer particles of sub-millimetre size are particularly useful as they combine macroscopic structure formation with an ability to flow and a desirable soft solid texture. Two limitations to the current utilisation of biopolymer particles are that they either cannot be predictably produced direct from a dried form, or if they are (e.g. cooked starch granules), there is a lack of scientific understanding that limits use of natural sources without subsequent chemical modification. This project will provide the science & technology to overcome these limitations.Read moreRead less
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
A Concurrent Multiscale Model for Improved Prediction of Drying Process. This project aims to develop an innovative multiscale model for food drying, which integrates spatial and temporal nonlinear behaviours at different scales. The proposed unifying theory will capture dynamic micro level features and upscale them to macro level features through a concurrent bridging scheme. As cellular elements critically govern the drying process, the fundamental understanding captured through this theory wi ....A Concurrent Multiscale Model for Improved Prediction of Drying Process. This project aims to develop an innovative multiscale model for food drying, which integrates spatial and temporal nonlinear behaviours at different scales. The proposed unifying theory will capture dynamic micro level features and upscale them to macro level features through a concurrent bridging scheme. As cellular elements critically govern the drying process, the fundamental understanding captured through this theory will lead to more accurate prediction of drying kinetics, deformation and quality changes, and hence the development of efficient drying systems. This project will overcome a longstanding research problem and position Australia at the forefront in world drying research to reap substantial economic benefits for Australia.Read moreRead less
Structural understanding of the degradation of glucose polymers. Understanding starch and glycogen breakdown at the molecular level is important for human nutrition and health. The understanding from this project will lead to new means for the control and mitigation of nutritional diseases, such as diabetes and obesity, as well as improved foods.
Enhanced Multilingual Speaker Recognition through the Incorporation of High-Level Features, Late Fusion and Discriminative Classification Methods. The development of robust multilingual speaker recognition systems will benefit the community through the elimination of fraud incurred by financial institutions and customers by enabling several person authentication applications such as: voice based signatures and document issuance; credit card verification by voice and secure over-the-phone financi ....Enhanced Multilingual Speaker Recognition through the Incorporation of High-Level Features, Late Fusion and Discriminative Classification Methods. The development of robust multilingual speaker recognition systems will benefit the community through the elimination of fraud incurred by financial institutions and customers by enabling several person authentication applications such as: voice based signatures and document issuance; credit card verification by voice and secure over-the-phone financial transactions. The technology will also assist in the protection of the community and safeguard Australia by enabling the implementation of the following: suspect identification using voice print; national security measures for combating terrorism by using voice to locate and track terrorists; preemptive criminal activity counter-measures; surveillance and secure building access by voice.Read moreRead less
Robust speaker recognition with reduced utterance duration and intersession variability. The development of robust and accurate speaker recognition systems will enable secure person authentication in over-the-phone financial transactions and benefit the community through the elimination of identity fraud incurred by customers and financial institutions. The technology will also assist in safeguarding Australia by enabling the implementation of suspect identification using voice and security meas ....Robust speaker recognition with reduced utterance duration and intersession variability. The development of robust and accurate speaker recognition systems will enable secure person authentication in over-the-phone financial transactions and benefit the community through the elimination of identity fraud incurred by customers and financial institutions. The technology will also assist in safeguarding Australia by enabling the implementation of suspect identification using voice and security measures for combating terrorism by using voice to locate and track terrorists. Our research at QUT Speech Research Lab is at the forefront of development in this field and will provide Australia with a technological advantage in the rapidly evolving global market for speaker recognition technology for person authentication applications.Read moreRead less
Establishing the relations between starch nano- and mesostructure and macroscopic physical properties. Starch is the major energy component within human diets, and the most abundant polymer that can be readily extracted from annual crop plants, leading to many actual and potential industrial applications. There are major opportunities to optimise the nutritional value of starches in the human diet, and to enhance the properties of extracted starches as renewable alternatives to petrochemical pol ....Establishing the relations between starch nano- and mesostructure and macroscopic physical properties. Starch is the major energy component within human diets, and the most abundant polymer that can be readily extracted from annual crop plants, leading to many actual and potential industrial applications. There are major opportunities to optimise the nutritional value of starches in the human diet, and to enhance the properties of extracted starches as renewable alternatives to petrochemical polymers. This project will open up our understanding of the structure of starch polymers and show how this relates to important properties such as enzyme digestibility rates, leading to new opportunities for public health and commercial benefits.Read moreRead less
Techniques to use stereo vision for improving person identification systems based on face recognition. The broad aim of this project is to use three-dimensional information available by processing images from stereo cameras in order to bridge the gap between constrained face recognition systems and viable systems that work well under varying illumination, changes in pose and variations in spectacles, facial hair and attire. Such a system will be useful in passenger verification at airports and a ....Techniques to use stereo vision for improving person identification systems based on face recognition. The broad aim of this project is to use three-dimensional information available by processing images from stereo cameras in order to bridge the gap between constrained face recognition systems and viable systems that work well under varying illumination, changes in pose and variations in spectacles, facial hair and attire. Such a system will be useful in passenger verification at airports and as a component of personal identification systems to counter terrorism. The key to successful face location and recognition is an effective combination of all data - range, luminance and colour - and techniques for this will be the discovered outcomes.Read moreRead less
Transforming Australian bio-based industries through multiscale modelling. Agricultural and forestry biomass can be converted into feedstocks for production of biofuels and biomaterials via synthetic biology. A key challenge is the complex biomass microstructure renders it highly resistant to conversion, and pretreatment is crucial for enhancing process efficiency. Micro-CT imaging will enable particle characterisation and identification of changes in the fibre composition during pretreatment. T ....Transforming Australian bio-based industries through multiscale modelling. Agricultural and forestry biomass can be converted into feedstocks for production of biofuels and biomaterials via synthetic biology. A key challenge is the complex biomass microstructure renders it highly resistant to conversion, and pretreatment is crucial for enhancing process efficiency. Micro-CT imaging will enable particle characterisation and identification of changes in the fibre composition during pretreatment. This information will be used to create a virtual biomass particle model for an in silico investigation to inform optimal process design. The framework will transform the way biomass is processed, contributing to the growth of the Australian bio-manufacturing industry by making it more productive, profitable and sustainable.Read moreRead less