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
2006
Journal Article
Development of a rapid "fingerprinting" system for wine authenticity by mid-infrared spectroscopy
Bevin, Christopher J., Fergusson, Allison J., Perry, Wade B., Janik, Leslie J. and Cozzolino, Daniel (2006). Development of a rapid "fingerprinting" system for wine authenticity by mid-infrared spectroscopy. Journal of Agricultural and Food Chemistry, 54 (26), 9713-9718. doi: 10.1021/jf062265o
2006
Journal Article
Chemometrics and visible-near infrared spectroscopic monitoring of red wine fermentation in a pilot scale
Cozzolino, Daniel, Parker, Mango, Dambergs, Robert G., Herderich, Markus and Gishen, Mark (2006). Chemometrics and visible-near infrared spectroscopic monitoring of red wine fermentation in a pilot scale. Biotechnology and Bioengineering, 95 (6), 1101-1107. doi: 10.1002/bit.21067
2006
Journal Article
Analysis of grapes and wine by near infrared spectroscopy
Cozzolino, D., Dambergs, R.G., Janik, L., Cynkar, W.U. and Gishen, M. (2006). Analysis of grapes and wine by near infrared spectroscopy. Journal of Near Infrared Spectroscopy, 14 (5), 279-289. doi: 10.1255/jnirs.679
2006
Journal Article
Geographic classification of Spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate Analysis
Liu, L., Cozzolino, D., Cynkar, W. U., Gishen, M. and Colby, C. B. (2006). Geographic classification of Spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate Analysis. Journal of Agricultural and Food Chemistry, 54 (18), 6754-6759. doi: 10.1021/jf061528b
2006
Journal Article
Measurement of chemical composition in wet whole maize silage by visible and near infrared reflectance spectroscopy
Cozzolino, D., Fassio, A., Fernández, E., Restaino, E. and La Manna, A. (2006). Measurement of chemical composition in wet whole maize silage by visible and near infrared reflectance spectroscopy. Animal Feed Science and Technology, 129 (3-4), 329-336. doi: 10.1016/j.anifeedsci.2006.01.025
2006
Journal Article
The effect of increased yeast alchohol acetyltransferase and esterase activity on the flavour profiles of wine and distillates
Lilly, Mariska, Bauer, Florian F., Lambrechts, Marius G., Swiegers, Jan H., Cozzolino, Daniel and Pretorius, Isak S. (2006). The effect of increased yeast alchohol acetyltransferase and esterase activity on the flavour profiles of wine and distillates. Yeast, 23 (9), 641-659. doi: 10.1002/yea.1382
2006
Journal Article
Combining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay: A feasibility study
Cozzolino, D., Vadell, A., Ballesteros, F., Galietta, G. and Barlocco, N. (2006). Combining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay: A feasibility study. Analytical and Bioanalytical Chemistry, 385 (5), 931-936. doi: 10.1007/s00216-006-0483-5
2006
Journal Article
Classification of the floral origin of Uruguayan honeys by chemical and physical characteristics combined with chemometrics
Corbella, E. and Cozzolino, D. (2006). Classification of the floral origin of Uruguayan honeys by chemical and physical characteristics combined with chemometrics. LWT - Food Science and Technology, 39 (5), 534-539. doi: 10.1016/j.lwt.2005.03.011
2006
Journal Article
Adaptive wavelet modelling of a nested 3 factor experimental design in NIR chemometrics
Donald, David, Coomans, Danny, Everingham, Yvette, Cozzolino, Daniel, Gishen, Mark and Hancock, Tim (2006). Adaptive wavelet modelling of a nested 3 factor experimental design in NIR chemometrics. Chemometrics and Intelligent Laboratory Systems, 82 (1-2 SPEC. ISS), 122-129. doi: 10.1016/j.chemolab.2005.05.013
2006
Journal Article
The determination of red grape quality parameters using the LOCAL algorithm
Dambergs, R.G., Cozzolino, D., Cynkar, W.U., Janik, L. and Gishen, M. (2006). The determination of red grape quality parameters using the LOCAL algorithm. Journal of Near Infrared Spectroscopy, 14 (2), 71-79. doi: 10.1255/jnirs.593
2006
Journal Article
Predicting intramuscular fat, moisture and Warner-Bratzler shear force in pork muscle using near infrared reflectance spectroscopy
Barlocco, N., Vadell, A., Ballesteros, F., Galietta, G. and Cozzolino, D. (2006). Predicting intramuscular fat, moisture and Warner-Bratzler shear force in pork muscle using near infrared reflectance spectroscopy. Animal Science, 82 (1), 111-116. doi: 10.1079/ASC20055
2006
Journal Article
Use of near infrared reflectance spectroscopy to evaluate quality characteristics in whole-wheat grain
Cozzolino, Daniel, Delucchi, Inés, Kholi, Moham and Vázquez, Daniel (2006). Use of near infrared reflectance spectroscopy to evaluate quality characteristics in whole-wheat grain. Agricultura Tecnica, 66 (4), 370-375. doi: 10.4067/S0365-28072006000400005
2006
Journal Article
Metabolic profiling as a tool for revealing Saccharomyces interactions during wine fermentation
Howell, Kate S., Cozzolino, Daniel, Bartowsky, Eveline J., Fleet, Graham H. and Henschke, Paul A. (2006). Metabolic profiling as a tool for revealing Saccharomyces interactions during wine fermentation. FEMS Yeast Research, 6 (1), 91-101. doi: 10.1111/j.1567-1364.2005.00010.x
2006
Journal Article
Combining near infrared spectroscopy and multivariate analysis as a tool to differentiate different strains of Saccharomyces cerevisiae: a metabolomic study
Cozzolino, D., Flood, L., Bellon, J., Gishen, M. and De Barros Lopes, M. (2006). Combining near infrared spectroscopy and multivariate analysis as a tool to differentiate different strains of Saccharomyces cerevisiae: a metabolomic study. Yeast, 23 (14-15), 1089-1096. doi: 10.1002/yea.1418
2006
Journal Article
Potential of near-infrared reflectance spectroscopy and chemometrics to predict soil organic carbon fractions
Cozzolino, D. and Morón, A. (2006). Potential of near-infrared reflectance spectroscopy and chemometrics to predict soil organic carbon fractions. Soil and Tillage Research, 85 (1-2), 78-85. doi: 10.1016/j.still.2004.12.006
2006
Journal Article
Use of Near Infrared Reflectance (NIR) spectroscopy to predict chemical composition of forages in broad-based calibration models
Garcia, Jaime and Cozzolino, Daniel (2006). Use of Near Infrared Reflectance (NIR) spectroscopy to predict chemical composition of forages in broad-based calibration models. Agricultura Tecnica, 66 (1), 41-47. doi: 10.4067/S0365-28072006000100005
2006
Conference Publication
Combining mass spectrometry based electronic nose, visible-near infrared spectroscopy and chemometrics to assess the sensory properties of Australian Riesling wines
Cozzolino, Daniel, Smyth, Heather E., Lattey, Kate A., Cynkar, Wies, Janik, Les, Dambergs, Robert G., Francis, I. Leigh and Gishen, Mark (2006). Combining mass spectrometry based electronic nose, visible-near infrared spectroscopy and chemometrics to assess the sensory properties of Australian Riesling wines. 4th Symposium on In Vino Analytica Scientia, Montpellier, France, 7-9 July 2005. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.aca.2005.11.008
2006
Conference Publication
Potential of VIS-NIR spectroscopy to predict perceived ‘muddy’ taint in Australian farmed barramundi
Smyth, H. E., Drasch, P., Cozzolino, D., Fox, G. and Percival, S. (2006). Potential of VIS-NIR spectroscopy to predict perceived ‘muddy’ taint in Australian farmed barramundi. 12th Australian Near Infrared Spectroscopy Conference: NIR a Fruitful Science, Rockhampton, QLD, Australia, 9-10th May 2006.
2006
Journal Article
Exploring the potential of visible-near infrared spectroscopy to predict sensory properties of food
Smyth, Heather, Mayze, John, Exley, Paul, Fox, Glen, Poole, Sue, Drabsch, Paul, Percival, Steve and Cozzolino, Daniel (2006). Exploring the potential of visible-near infrared spectroscopy to predict sensory properties of food. NIR News, 17 (8), 10-11. doi: 10.1255/nirn.935
2005
Journal Article
Multivariate determination of free fatty acids and moisture in fish oils by partial least-squares regression and near-infrared spectroscopy
Cozzolino, D., Murray, I., Chree, A. and Scaife, J. R. (2005). Multivariate determination of free fatty acids and moisture in fish oils by partial least-squares regression and near-infrared spectroscopy. LWT - Food Science and Technology, 38 (8), 821-828. doi: 10.1016/j.lwt.2004.10.007
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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