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
2005
Journal Article
Grape and wine analysis - enhancing the power of spectroscopy with chemometrics : A review of some applications in the Australian wine industry
GISHEN, M., DAMBERGS, R.G. and COZZOLINO, D. (2005). Grape and wine analysis - enhancing the power of spectroscopy with chemometrics : A review of some applications in the Australian wine industry. Australian Journal of Grape and Wine Research, 11 (3), 296-305. doi: 10.1111/j.1755-0238.2005.tb00029.x
2005
Journal Article
Effect of both homogenisation and storage on the spectra of red grapes and on the measurement of total anthocyanins, total soluble solids and pH by visual near infrared spectroscopy
Cozzolino, D., Cynkar, W.U., Dambergs, R.G., Janik, L. and Gishen, M. (2005). Effect of both homogenisation and storage on the spectra of red grapes and on the measurement of total anthocyanins, total soluble solids and pH by visual near infrared spectroscopy. Journal of Near Infrared Spectroscopy, 13 (4), 213-223. doi: 10.1255/jnirs.539
2005
Journal Article
Usefulness of Near-infrared reflectance (NIR) spectroscopy and chemometrics to discriminate fishmeal batches made with different fish species
Cozzolino, Daniel, Chree, A., Scaife, J. R. and Murray, Ian (2005). Usefulness of Near-infrared reflectance (NIR) spectroscopy and chemometrics to discriminate fishmeal batches made with different fish species. Journal of Agricultural and Food Chemistry, 53 (11), 4459-4463. doi: 10.1021/jf050303i
2005
Journal Article
The use of visible (VIS) and near infrared (NIR) reflectance spectroscopy to predict fibre diameter in both clean and greasy wool samples
Cozzolino, D., Montossi, F. and San Julian, R. (2005). The use of visible (VIS) and near infrared (NIR) reflectance spectroscopy to predict fibre diameter in both clean and greasy wool samples. Animal Science, 80 (3), 333-337. doi: 10.1079/ASC41760333
2005
Journal Article
Relationship between sensory analysis and near infrared spectroscopy in Australian Riesling and Chardonnay wines
Cozzolino, Daniel, Smyth, Heather E., Lattey, Kate A., Cynkar, Wies, Janik, Les, Dambergs, Robert G., Francis, I. Leigh and Gishen, Mark (2005). Relationship between sensory analysis and near infrared spectroscopy in Australian Riesling and Chardonnay wines. Analytica Chimica Acta, 539 (1-2), 341-348. doi: 10.1016/j.aca.2005.03.019
2005
Journal Article
The use of visible and near infrared spectroscopy to classify the floral origin of honey samples produced in Uruguay
Corbella, E. and Cozzolino, D. (2005). The use of visible and near infrared spectroscopy to classify the floral origin of honey samples produced in Uruguay. Journal of Near Infrared Spectroscopy, 13 (2), 63-68. doi: 10.1255/jnirs.458
2005
Conference Publication
Usefulness of chemometrics and mass spectrometry-based electronic nose to classify Australian white wines by their varietal origin
Cozzolino, Daniel, Smyth, Heather E., Cynkar, Wies, Dambergs, Robert G. and Gishen, Mark (2005). Usefulness of chemometrics and mass spectrometry-based electronic nose to classify Australian white wines by their varietal origin. 13th International Conference on Flow Injection Analysis (ICFIA 2005), Las Vegas, NV, United States, 24-29 April 2005. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.talanta.2005.08.057
2005
Conference Publication
Identification of key aroma compounds in Australian Riesling and unwooded Chardonnay wines
Smyth, H. E., Cozzolino, D., Herderich, M., Sefton, M. A. and Francis, I. L. (2005). Identification of key aroma compounds in Australian Riesling and unwooded Chardonnay wines. 7th Wartburg Symposium on Flavor Chemistry and Biology, Eisenach, Germany, 21-23 April 2004. Eisenach, Germany: Deutsche Forschungsanstalt fur Lebensmittelchemie.
2004
Journal Article
Non-destructive prediction of chemical composition in sunflower seeds by near infrared spectroscopy
Fassio, A. and Cozzolino, D. (2004). Non-destructive prediction of chemical composition in sunflower seeds by near infrared spectroscopy. Industrial Crops and Products, 20 (3), 321-329. doi: 10.1016/j.indcrop.2003.11.004
2004
Conference Publication
Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy
Cozzolino, D., Kwiatkowski, M. J., Parker, M., Cynkar, W. U., Dambergs, R. G., Gishen, M. and Herderich, M. J. (2004). Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy. doi: 10.1016/j.aca.2003.08.066
2004
Journal Article
Determination of potentially mineralizable nitrogen and nitrogen in particulate organic matter fractions in soil by visible and near-infrared reflectance spectroscopy
Moron, A. and Cozzolino, D. (2004). Determination of potentially mineralizable nitrogen and nitrogen in particulate organic matter fractions in soil by visible and near-infrared reflectance spectroscopy. Journal of Agricultural Science, 142 (3), 335-343. doi: 10.1017/S0021859604004290
2004
Journal Article
Prediction of colour and pH in grapes using a diode array spectrophotometer (400–1100 nm)
Cozzolino, D., Esler, M.B., Dambergs, R.G., Cynkar, W.U., Boehm, D.R., Francis, I.L. and Gishen, M. (2004). Prediction of colour and pH in grapes using a diode array spectrophotometer (400–1100 nm). Journal of Near Infrared Spectroscopy, 12 (2), 105-111. doi: 10.1255/jnirs.414
2004
Journal Article
Exploring the use of near infrared reflectance spectroscopy (NIRS) to predict trace minerals in legumes
Cozzolino, D. and Moron, A. (2004). Exploring the use of near infrared reflectance spectroscopy (NIRS) to predict trace minerals in legumes. Animal Feed Science and Technology, 111 (1-4), 161-173. doi: 10.1016/j.anifeedsci.2003.08.001
2004
Conference Publication
Calibration transfer between different instruments for determination of colour in red grapes
Cozzolino, D., Gishen, M., Dambergs, R. G., Cynkar, W. U., Janik, L., Francis, I. L. and Høj, P. B. (2004). Calibration transfer between different instruments for determination of colour in red grapes. 11th International Conference on Near Infrared Spectroscopy, Cordoba, Spain, 2003. West Sussex, United Kingdom: NIR Publications.
2004
Conference Publication
Prediction of colour and pH in grapes using a diode array spectrophotometer (400–1100 nm)
Cozzolino, D., Gishen, M., Dambergs, R. G., Cynkar, W. U., Boehm, D. R., Francis, I. L. and Høj, P. B. (2004). Prediction of colour and pH in grapes using a diode array spectrophotometer (400–1100 nm). 11th International Conference on Near Infrared Spectroscopy, Cordoba, Spain, 2003. West Sussex, United Kingdom: NIR Publications.
2004
Journal Article
Identification of animal meat muscles by visible and near infrared reflectance spectroscopy
Cozzolino, D. and Murray, I. (2004). Identification of animal meat muscles by visible and near infrared reflectance spectroscopy. LWT - Food Science and Technology, 37 (4), 447-452. doi: 10.1016/j.lwt.2003.10.013
2003
Journal Article
Feasibility study on the use of visible and near-infrared Spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal origins
Cozzolino, Daniel, Smyth, Heather Eunice and Gishen, Mark (2003). Feasibility study on the use of visible and near-infrared Spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal origins. Journal of Agricultural and Food Chemistry, 51 (26), 7703-7708. doi: 10.1021/jf034959s
2003
Journal Article
Exploring the use of near infrared reflectance spectroscopy to study physical Prpoperties and microelements in soils
Moron, A. and Cozzolino, D. (2003). Exploring the use of near infrared reflectance spectroscopy to study physical Prpoperties and microelements in soils. Journal of Near Infrared Spectroscopy, 11 (2), 145-154. doi: 10.1255/jnirs.362
2003
Journal Article
The use of visible and near-infrared reflectance spectroscopy to predict colour on both intact and homogenised pork muscle
Cozzolino, D., Barlocco, N., Vadell, A., Ballesteros, F. and Gallieta, G. (2003). The use of visible and near-infrared reflectance spectroscopy to predict colour on both intact and homogenised pork muscle. LWT - Food Science and Technology, 36 (2), 195-202. doi: 10.1016/S0023-6438(02)00199-8
2003
Journal Article
The potential of near-infrared reflectance spectroscopy to analyse soil chemical and physical characteristics
Cozzolino, D. and Morón, A. (2003). The potential of near-infrared reflectance spectroscopy to analyse soil chemical and physical characteristics. Journal of Agricultural Science, 140 (1), 65-71. doi: 10.1017/S0021859602002836
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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