Overview
Background
Cozzolino is a Principal Research Fellow with the Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland. He has worked in several positions including Associate Professor in Food Chemistry (RMIT University, Melbourne), Head of Agriculture (CQUniversity, Rockhampton), Senior Research Fellow Barley Breeding Program (University of Adelaide, Adelaide), Team Leader Rapid Analytical Group (The Australian Wine Research Institute, Adelaide), Head of Animal Nutrition (INIA La Estanzuela, Uruguay).
His research focusses on the application of chemometric, machine learning and spectroscopic methods (e.g. NIR, MIR, hyperspectral) in a wide range of fields (eg. food, waste products, agricultural commodities). He has published more than 500 peer-review articles and book chapters (h index 68).
He was presented in 2013 with the Hirschfeld Award by the International Council of Near Infrared Spectroscopy for his outstanding contributions on the field of NIR spectroscopy. He ranked 94 in Australia and 3665 in the world as best-Chemistry-Scientist 2023 (Research.com).
Availability
- Associate Professor Daniel Cozzolino is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Doctor of Philosophy, University of Aberdeen
- Member, ANISG group, ANISG group
- Member, American Chemical Society, American Chemical Society
- Member, Australian Institute of Food Science and Technology, Australian Institute of Food Science and Technology
- Member, Society for Applied Spectroscopy, Society for Applied Spectroscopy
Research interests
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Objective measurement of foods and feeds
Development of objective methods to analyse composition if foods based on the utilization of sensors and machine learning techniques.
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Food Authenticity, fraud and provenance
Development and implementation of rapid analytical methods to monitor food authenticity, fraud and provenance. Monitor all steps of the value chain using fingerprinting approaches.
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Sensing technologies and machine learning applied to food and nutrition
Application and development of sensing technologies in combination with machine learning techniques to analyse, monitor food composition and quality, monitor nutrition in animals and humans (e,g, hair, saliva and urine analysis).
Research impacts
He was presented in 2013 with the Hirschfeld Award by the International Council of Near Infrared Spectroscopy for his outstanding contributions on the field of NIR spectroscopy.
He ranked 94 in Australia and 3665 in the world as best-Chemistry-Scientist 2023 (Research.com).
Works
Search Professor Daniel Cozzolino’s works on UQ eSpace
2020
Book Chapter
Monitoring food aroma during processing and storage by rapid analytical methods: A focus on electronic noses and mass spectrometry-based systems
Power, Aoife, Truong, Vi Khanh, Chapman, James and Cozzolino, Daniel (2020). Monitoring food aroma during processing and storage by rapid analytical methods: A focus on electronic noses and mass spectrometry-based systems. Food aroma evolution: during food processing, cooking, and aging. (pp. 159-175) Boca Raton, FL, United States: CRC Press. doi: 10.1201/9780429441837-8
2019
Journal Article
Using raman spectroscopy as a fast tool to classify and analyze bulgarian wines-a feasibility study
Deneva, Vera, Bakardzhiyski, Ivan, Bambalov, Krasimir, Antonova, Daniela, Tsobanova, Diana, Bambalov, Valentin, Cozzolino, Daniel and Antonov, Liudmil (2019). Using raman spectroscopy as a fast tool to classify and analyze bulgarian wines-a feasibility study. Molecules, 25 (1) 170, 170. doi: 10.3390/molecules25010170
2019
Journal Article
Antibacterial properties of graphene oxide-copper oxide nanoparticle nanocomposites
Rajapaksha, Piumie, Cheeseman, Samuel, Hombsch, Stuart, Murdoch, Billy James, Gangadoo, Sheeana, Blanch, Ewan W., Truong, Yen, Cozzolino, Daniel, McConville, Chris F., Crawford, Russell J., Truong, Vi Khanh, Elbourne, Aaron and Chapman, James (2019). Antibacterial properties of graphene oxide-copper oxide nanoparticle nanocomposites. ACS Applied Bio Materials, 2 (12), 5687-5696. doi: 10.1021/acsabm.9b00754
2019
Journal Article
Food for thought: the digital disruption and the future of food production
Cozzolino, D. (2019). Food for thought: the digital disruption and the future of food production. Current Research in Nutrition and Food Science Journal, 7 (3), 607-609. doi: 10.12944/crnfsj.7.3.01
2019
Journal Article
From the laboratory to the vineyard - evolution of the measurement of grape composition using NIR spectroscopy towards high-throughput analysis
Power, Aoife, Truong, Vi Khanh, Chapman, James and Cozzolino, Daniel (2019). From the laboratory to the vineyard - evolution of the measurement of grape composition using NIR spectroscopy towards high-throughput analysis. High-Throughput, 8 (4) 21, 21. doi: 10.3390/ht8040021
2019
Book Chapter
Role of sensors in fruit nutrition
Cozzolino, Daniel, Dupont, Madeleine F., Elbourne, Aaron, Truong, Vi Khanh, Power, Aoife and Chapman, James (2019). Role of sensors in fruit nutrition. Fruit Crops: Diagnosis and Management of Nutrient Constraints. (pp. 111-119) Elsevier. doi: 10.1016/B978-0-12-818732-6.00009-5
2019
Journal Article
Wheat yield response to nitrogen from the perspective of intraspecific competition
Sadras, Victor O., Thomas, Dane, Cozzolino, Daniel and Cossani, C. Mariano (2019). Wheat yield response to nitrogen from the perspective of intraspecific competition. Field Crops Research, 243 107632, 1-10. doi: 10.1016/j.fcr.2019.107632
2019
Journal Article
Classification of chardonnay grapes according to geographical indication and quality grade using attenuated total reflectance mid-infrared spectroscopy
Gambetta, Joanna M., Cozzolino, Daniel, Bastian, Susan E. P. and Jeffery, David W. (2019). Classification of chardonnay grapes according to geographical indication and quality grade using attenuated total reflectance mid-infrared spectroscopy. Food Analytical Methods, 12 (1), 239-245. doi: 10.1007/s12161-018-1355-2
2019
Journal Article
Sensomics - From conventional to functional NIR spectroscopy - Shining light over the aroma and taste of foods
Chapman, J., Elbourne, A., Truong, Vi Khanh, Newman, L., Gangadoo, S., Rajapaksha Pathirannahalage, P., Cheeseman, S. and Cozzolino, D. (2019). Sensomics - From conventional to functional NIR spectroscopy - Shining light over the aroma and taste of foods. Trends in Food Science and Technology, 91, 274-281. doi: 10.1016/j.tifs.2019.07.013
2019
Journal Article
Influence of the scanning temperature on the classification of whisky samples analysed by UV-VIS spectroscopy
Joshi, Ishita, Truong, Vi Khanh, Elbourne, Aaron, Chapman, James and Cozzolino, Daniel (2019). Influence of the scanning temperature on the classification of whisky samples analysed by UV-VIS spectroscopy. Applied Sciences, 9 (16) 3254, 3254. doi: 10.3390/app9163254
2019
Journal Article
Spectroscopic approaches for rapid beer and wine analysis
Chapman, James, Gangadoo, Sheeana, Truong, Vi Khanh and Cozzolino, Daniel (2019). Spectroscopic approaches for rapid beer and wine analysis. Current Opinion in Food Science, 28, 67-73. doi: 10.1016/j.cofs.2019.09.001
2019
Journal Article
Interpreting and reporting principal component analysis in food science analysis and beyond
Cozzolino, D., Power, A. and Chapman, J. (2019). Interpreting and reporting principal component analysis in food science analysis and beyond. Food Analytical Methods, 12 (11), 2469-2473. doi: 10.1007/s12161-019-01605-5
2019
Journal Article
Lighting the ivory track: are near-infrared and chemometrics up to the job? A proof of concept
Power, Aoife, Ingleby, Sandy, Chapman, James and Cozzolino, Daniel (2019). Lighting the ivory track: are near-infrared and chemometrics up to the job? A proof of concept. Applied Spectroscopy, 73 (7), 816-822. doi: 10.1177/0003702819837297
2019
Journal Article
Bacterial-nanostructure interactions: The role of cell elasticity and adhesion forces
Elbourne, Aaron, Chapman, James, Gelmi, Amy, Cozzolino, Daniel, Crawford, Russell J. and Truong, Vi Khanh (2019). Bacterial-nanostructure interactions: The role of cell elasticity and adhesion forces. Journal of Colloid and Interface Science, 546, 192-210. doi: 10.1016/j.jcis.2019.03.050
2019
Journal Article
From academia to reality check: a theoretical framework on the use of chemometric in food sciences
Truong, Vi Khanh, Dupont, Madeleine, Elbourne, Aaron, Gangadoo, Sheeana, Rajapaksha Pathirannahalage, Piumie, Cheeseman, Samuel, Chapman, James and Cozzolino, Daniel (2019). From academia to reality check: a theoretical framework on the use of chemometric in food sciences. Foods, 8 (5) 8050164, 164. doi: 10.3390/foods8050164
2019
Journal Article
Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: a review
Bureau, Sylvie, Cozzolino, Daniel and Clark, Christopher J. (2019). Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: a review. Postharvest Biology and Technology, 148, 1-14. doi: 10.1016/j.postharvbio.2018.10.003
2019
Journal Article
A review of methods for the detection of pathogenic microorganisms
Rajapaksha, P., Elbourne, A., Gangadoo, S., Brown, R., Cozzolino, D. and Chapman, J. (2019). A review of methods for the detection of pathogenic microorganisms. The Analyst, 144 (2), 396-411. doi: 10.1039/c8an01488d
2019
Journal Article
Mid-infrared spectroscopy coupled with chemometrics to identify spectral variability in Australian barley samples from different production regions
Gordon, R., Chapman, J., Power, A., Chandra, S., Roberts, J. and Cozzolino, D. (2019). Mid-infrared spectroscopy coupled with chemometrics to identify spectral variability in Australian barley samples from different production regions. Journal of Cereal Science, 85, 41-47. doi: 10.1016/j.jcs.2018.11.004
2019
Conference Publication
Application of FTIR-ATR spectrocopy to detect salinity response in Beauty leaf tree (calophyllum inophyllam L)
Westworth, Saori, Ashwath, Nanjappa and Cozzolino, Daniel (2019). Application of FTIR-ATR spectrocopy to detect salinity response in Beauty leaf tree (calophyllum inophyllam L). International Conference on Energy and Power, Sydney, Australia, 13–15 December 2018. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.egypro.2019.02.182
2019
Book Chapter
Ultraviolet-visible spectroscopy for food quality analysis
Power, A. C., Chapman, J., Chandra, S. and Cozzolino, D. (2019). Ultraviolet-visible spectroscopy for food quality analysis. Evaluation technologies for food quality. (pp. 91-104) edited by Jian Zhong and Xichang Wang. Duxford, United Kingdom: Woodhead Publishing. doi: 10.1016/B978-0-12-814217-2.00006-8
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Daniel Cozzolino is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
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Doctor Philosophy
Screening for plastic and persistent contaminants in food and feed derived from black soldier fly larvae (BSFL) reared on food waste.
Principal Advisor
Other advisors: Professor Louw Hoffman
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Doctor Philosophy
Chemical composition differences and in vitro digestion and fermentation characteristics of different varieties of barley in Australia and their impact on glucose and lipid metabolism of db/db mice
Principal Advisor
Other advisors: Emeritus Professor Robert Gilbert
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Doctor Philosophy
Advanced spectroscopy techniques to improve the bioavailability of nutrients in vegetable-based food products
Principal Advisor
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Doctor Philosophy
Evaluation of Black Soldier Fly (Hermetia illucens) Larvae as a Protein Source in Broiler Diets
Associate Advisor
Other advisors: Professor Eugeni Roura, Professor Louw Hoffman, Dr Elham Assadi Soumeh
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Doctor Philosophy
Genetics of sensory traits in pineapple
Associate Advisor
Other advisors: Professor Heather Smyth, Associate Professor Craig Hardner
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Doctor Philosophy
Peri-hatching strategies to endure enteric pathogens in broilers
Associate Advisor
Other advisors: Professor Eugeni Roura, Dr Arun Kumar
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Doctor Philosophy
Genetics of fruit sensory traits in strawberry
Associate Advisor
Other advisors: Professor Heather Smyth, Associate Professor Craig Hardner
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Master Philosophy
Understanding G × E Interactions for Yield and Protein Content in Australian Chickpea: From Phenotyping to Genetic Analysis
Associate Advisor
Other advisors: Dr Bradley Campbell, Dr Millicent Smith
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Doctor Philosophy
Mechanisms to improve grain yield and grain quality under heat in wheat
Associate Advisor
Other advisors: Associate Professor Karine Chenu
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Doctor Philosophy
Extrinsic and intrinsic factors that influence the meat quality of goat fresh meat and products.
Associate Advisor
Other advisors: Dr Nick Hudson, Dr Elham Assadi Soumeh, Professor Louw Hoffman
Completed supervision
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2025
Doctor Philosophy
Exploring the nutritional quality and food functionality of Burdekin plum (Pleiogynium timoriense)
Associate Advisor
Other advisors: Dr Michael Netzel, Dr Kamalesh Adhikari, Professor Yasmina Sultanbawa
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2024
Doctor Philosophy
Optimising and industrialising black soldier fly (BSF) production -redirecting food waste to livestock feed production using insects
Associate Advisor
Other advisors: Dr Deirdre Mikkelsen, Professor Louw Hoffman
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2024
Master Philosophy
Heritability of Isotopes and Using NIRS for Improved Nitrogen Use in Cattle
Associate Advisor
Other advisors: Associate Professor Luis Prada e Silva
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2022
Doctor Philosophy
Impact of growing region and processing on the quality and functionality of wild harvested Terminalia ferdinandiana Exell fruits
Associate Advisor
Other advisors: Dr Michael Netzel, Professor Yasmina Sultanbawa
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2022
Doctor Philosophy
Food and human factors contributing to food intake & appetite (satiation and satiety)
Associate Advisor
Other advisors: Professor Heather Smyth, Professor Mike Gidley
Media
Enquiries
Contact Associate Professor Daniel Cozzolino directly for media enquiries about:
- Cereal Quality
- Chemometrics
- Feed Composition
- Food Composition
- Food Fraud
- Food Quality
- Food Science
- Foodomics
- Grain Quality
- Infrared
- NIR
- Nutrition
- Provenance
- RVA
- Sensors
- Spectroscopy
- Traceability
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