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
2008
Journal Article
Measurement of condensed tannins and dry matter in red grape homogenates using near infrared spectroscopy and partial least squares
Cozzolino, Daniel, Cynkar, Wies U., Dambergs, Robert G., Mercurio, Meagan D. and Smith, Paul A. (2008). Measurement of condensed tannins and dry matter in red grape homogenates using near infrared spectroscopy and partial least squares. Journal of Agricultural and Food Chemistry, 56 (17), 7631-7636. doi: 10.1021/jf801563z
2008
Journal Article
Varietal discrimination of Australian wines by means of mid-infrared spectroscopy and multivariate analysis
Bevin, Christopher J., Dambergs, Robert G., Fergusson, Allison J. and Cozzolino, Daniel (2008). Varietal discrimination of Australian wines by means of mid-infrared spectroscopy and multivariate analysis. Analytica Chimica Acta, 621 (1), 19-23. doi: 10.1016/j.aca.2007.10.042
2008
Journal Article
Relationship between wine scores and visible-near-infrared spectra of Australian red wines
Cozzolino, D., Cowey, G., Lattey, K. A., Godden, P., Cynkar, W. U., Dambergs, R. G., Janik, L. and Gishen, M. (2008). Relationship between wine scores and visible-near-infrared spectra of Australian red wines. Analytical and Bioanalytical Chemistry, 391 (3), 975-981. doi: 10.1007/s00216-008-2071-3
2008
Journal Article
Comparison of metal oxide-based electronic nose and mass spectrometry-based electronic nose for the prediction of red wine spoilage
Berna, Amalia Z., Trowell, Stephen, Cynkar, Wies and Cozzolino, Daniel (2008). Comparison of metal oxide-based electronic nose and mass spectrometry-based electronic nose for the prediction of red wine spoilage. Journal of Agricultural and Food Chemistry, 56 (9), 3238-3244. doi: 10.1021/jf7037289
2008
Journal Article
Near infrared spectroscopy as a rapid tool to measure volatile aroma compounds in Riesling wine: possibilities and limits
Smyth, H. E., Cozzolino, D., Cynkar, W. U., Dambergs, R. G., Sefton, M. and Gishen, M. (2008). Near infrared spectroscopy as a rapid tool to measure volatile aroma compounds in Riesling wine: possibilities and limits. Analytical and Bioanalytical Chemistry, 390 (7), 1911-1916. doi: 10.1007/s00216-008-1940-0
2008
Journal Article
Preliminary study on the application of visible-near infrared spectroscopy and chemometrics to classify Riesling wines from different countries
Liu, L., Cozzolino, D., Cynkar, W. U., Dambergs, R. G., Janik, L., O'Neill, B. K., Colby, C. B. and Gishen, M. (2008). Preliminary study on the application of visible-near infrared spectroscopy and chemometrics to classify Riesling wines from different countries. Food Chemistry, 106 (2), 781-786. doi: 10.1016/j.foodchem.2007.06.015
2008
Journal Article
Analysis of elements in wine using near infrared spectroscopy and partial least squares regression
Cozzolino, D., Kwiatkowski, M. J., Dambergs, R. G., Cynkar, W. U., Janik, L. J., Skouroumounis, G. and Gishen, M. (2008). Analysis of elements in wine using near infrared spectroscopy and partial least squares regression. Talanta, 74 (4), 711-716. doi: 10.1016/j.talanta.2007.06.045
2008
Journal Article
Verification of silage type using near-infrared spectroscopy combined with multivariate analysis
Cozzolino, D., Fassio, A., Restaino, E., Fernandez, E. and La Manna, A. (2008). Verification of silage type using near-infrared spectroscopy combined with multivariate analysis. Journal of Agricultural and Food Chemistry, 56 (1), 79-83. doi: 10.1021/jf072566d
2008
Conference Publication
Use of direct headspace-mass spectrometry coupled with chemometrics to predict aroma properties in Australian Riesling wine
Cozzolino, Daniel, Smyth, Heather E., Cynkar, Wies, Janik, Les, Dambergs, Robert G. and Gishen, Mark (2008). Use of direct headspace-mass spectrometry coupled with chemometrics to predict aroma properties in Australian Riesling wine. 5th Symposium In Vino Analytica Scientia (In Vino 2007), Melbourne, Australia, 22-25 July 2007. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.aca.2007.09.036
2008
Journal Article
Combining multivariate analysis and pollen count to classify honey samples accordingly to different botanical origins Clasificación del origen botánico de la miel mediante la combinación de análisis multivariado y recuento de polen
Corbella, Eduardo and Cozzolino, Daniel (2008). Combining multivariate analysis and pollen count to classify honey samples accordingly to different botanical origins Clasificación del origen botánico de la miel mediante la combinación de análisis multivariado y recuento de polen. Chilean Journal of Agricultural Research, 68 (1), 102-107. doi: 10.4067/S0718-58392008000100010
2007
Journal Article
Measurement of phosphorus in soils by near infrared reflectance spectroscopy: Effect of reference method on calibration
Morón, A. and Cozzolino, D. (2007). Measurement of phosphorus in soils by near infrared reflectance spectroscopy: Effect of reference method on calibration. Communications in Soil Science and Plant Analysis, 38 (15-16), 1965-1974. doi: 10.1080/00103620701548498
2007
Journal Article
Effect of variety, vintage and winery on the prediction by visible and near infrared spectroscopy of the concentration of glycosylated compounds (G-G) in white grape juice
Cynkar, W. U., Cozzolino, D., Dambergs, R. G., Janik, L. and Gishen, M. (2007). Effect of variety, vintage and winery on the prediction by visible and near infrared spectroscopy of the concentration of glycosylated compounds (G-G) in white grape juice. Australian Journal of Grape and Wine Research, 13 (2), 101-105. doi: 10.1111/j.1755-0238.2007.tb00240.x
2007
Journal Article
Identification and quantification of a marker compound for 'pepper' aroma and flavor in Shiraz grape berries by combination of chemometrics and gas chromatography-mass spectrometry
Parker, Mango, Pollnitz, Alan P., Cozzolino, Daniel, Francis, I. Leigh and Herderich, Markus J. (2007). Identification and quantification of a marker compound for 'pepper' aroma and flavor in Shiraz grape berries by combination of chemometrics and gas chromatography-mass spectrometry. Journal of Agricultural and Food Chemistry, 55 (15), 5948-5955. doi: 10.1021/jf0705320
2007
Journal Article
Prediction of chemical composition in sunflower whole plant and silage (Helianthus annus L.) by near infrared reflectance spectroscopy
Fassio, A., Gimenez, A., Fernandez, E., Vaz Martins, D. and Cozzolino, D. (2007). Prediction of chemical composition in sunflower whole plant and silage (Helianthus annus L.) by near infrared reflectance spectroscopy. Journal of Near Infrared Spectroscopy, 15 (3), 201-207. doi: 10.1255/jnirs.731
2007
Journal Article
Feasibility study on the potential of visible and near infrared reflectance spectroscopy to measure alpaca fibre characteristics
Gishen, M. and Cozzolino, D. (2007). Feasibility study on the potential of visible and near infrared reflectance spectroscopy to measure alpaca fibre characteristics. Animal, 1 (6), 899-904. doi: 10.1017/S1751731107000146
2007
Journal Article
Feasibility study on the use of a head space mass spectrometry electronic nose (MS e_nose) to monitor red wine spoilage induced by Brettanomyces yeast
Cynkar, Wies, Cozzolino, Daniel, Dambergs, Bob, Janik, Les and Gishen, Mark (2007). Feasibility study on the use of a head space mass spectrometry electronic nose (MS e_nose) to monitor red wine spoilage induced by Brettanomyces yeast. Sensors and Actuators, B: Chemical, 124 (1), 167-171. doi: 10.1016/j.snb.2006.12.017
2007
Journal Article
The prediction of total anthocyanin concentration in red-grape homogenates using visible-near-infrared spectroscopy and artificial neural networks
Janik, L.J., Cozzolino, D., Dambergs, R., Cynkar, W. and Gishen, M. (2007). The prediction of total anthocyanin concentration in red-grape homogenates using visible-near-infrared spectroscopy and artificial neural networks. Analytica Chimica Acta, 594 (1), 107-118. doi: 10.1016/j.aca.2007.05.019
2007
Journal Article
Effect of temperature variation on the visible and near infrared spectra of wine and the consequences on the partial least square calibrations developed to measure chemical composition
Cozzolino, D., Liu, L., Cynkar, W. U., Dambergs, R. G., Janik, L., Colby, C. B. and Gishen, M. (2007). Effect of temperature variation on the visible and near infrared spectra of wine and the consequences on the partial least square calibrations developed to measure chemical composition. Analytica Chimica Acta, 588 (2), 224-230. doi: 10.1016/j.aca.2007.01.079
2007
Conference Publication
A feasibility study on the use of visible and short wavelengths in the near-infrared region for the non-destructive measurement of wine composition
Cozzolino, D., Kwiatkowski, M. J., Waters, E. J. and Gishen, M. (2007). A feasibility study on the use of visible and short wavelengths in the near-infrared region for the non-destructive measurement of wine composition. doi: 10.1007/s00216-006-1031-z
2007
Journal Article
Preliminary study on the use of near-infrared reflectance spectroscopy to assess nitrogen content of undried wheat plants
Morón, Alejandro, García, Adriana, Sawchik, Jorge and Cozzolino, Daniel (2007). Preliminary study on the use of near-infrared reflectance spectroscopy to assess nitrogen content of undried wheat plants. Journal of the Science of Food and Agriculture, 87 (1), 147-152. doi: 10.1002/jsfa.2691
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Daniel Cozzolino is:
- Available for supervision
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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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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
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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
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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