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
2024
Journal Article
Predicting oil content of Australian beauty leaf tree kernel samples using near infrared spectroscopy combined with chemometrics
Sreekumar, Rahul, Ashwath, Nanjappa, Cozzolino, Daniel and Walsh, Kerry (2024). Predicting oil content of Australian beauty leaf tree kernel samples using near infrared spectroscopy combined with chemometrics. Journal of Near Infrared Spectroscopy, 32 (1-2), 3-9. doi: 10.1177/09670335231225820
2024
Journal Article
Predicting egg storage time with a portable near-infrared instrument: effects of temperature and production system
Cozzolino, Daniel, Sanal, Pooja, Schreuder, Jana, Williams, Paul James, Assadi Soumeh, Elham, Dekkers, Milou Helene, Anderson, Molly, Boisen, Sheree and Hoffman, Louwrens Christiaan (2024). Predicting egg storage time with a portable near-infrared instrument: effects of temperature and production system. Foods, 13 (2) 212, 1-11. doi: 10.3390/foods13020212
2024
Journal Article
Development of Liquid Chromatography-Mass Spectrometry (LC-MS) method for quantification of broccoli sulforaphane
Ali Redha, Ali, Hong, Hung T., Torquati, Luciana, Nash, Geoffrey R., Gidley, Michael J. and Cozzolino, Daniel (2024). Development of Liquid Chromatography-Mass Spectrometry (LC-MS) method for quantification of broccoli sulforaphane. Food Analytical Methods, 17 (1), 1-6. doi: 10.1007/s12161-023-02544-y
2024
Journal Article
Near infrared spectroscopy combined with chemometrics as tool to monitor starch hydrolysis
Visnupriyan, R., Flanagan, B.M., Harper, K.J. and Cozzolino, D. (2024). Near infrared spectroscopy combined with chemometrics as tool to monitor starch hydrolysis. Carbohydrate Polymers, 324 121469, 121469. doi: 10.1016/j.carbpol.2023.121469
2024
Journal Article
Rapid screening of bacteriostatic and bactericidal antimicrobial agents against Escherichia coli by combining machine learning (artificial intelligence) and UV-VIS spectroscopy
Orrell-Trigg, R., Awad, M., Gangadoo, S., Cheeseman, S., Shaw, Z. L., Truong, V. K., Cozzolino, D. and Chapman, J. (2024). Rapid screening of bacteriostatic and bactericidal antimicrobial agents against Escherichia coli by combining machine learning (artificial intelligence) and UV-VIS spectroscopy. The Analyst, 149 (5), 1597-1608. doi: 10.1039/d3an01608k
2024
Conference Publication
Unlocking aromas: the utility of volatile organic compounds in Australian stingless bee products
Wolvetang, Gabriel, Cozzolino, Daniel, Blanchfield, Joanne T. and Hungerford, Natasha L. (2024). Unlocking aromas: the utility of volatile organic compounds in Australian stingless bee products. NextGen Ag Symposium, Brisbane, QLD, Australia, 6 September.
2024
Conference Publication
Impact of post-flowering heatwaves on individual grain weight and quality in wheat
Yahya, Muhammad, Ullah, Najeeb, Cozzolino, Daniel, Christopher, Jack, Kuhn, Estelle and Chenu, Karine (2024). Impact of post-flowering heatwaves on individual grain weight and quality in wheat. 21st Australian Agronomy Conference, Albany, WA, Australia, 21-24 October 2024. Albany, WA, Australia: Australian Agronomy Conference.
2024
Book Chapter
Environmental forensics
Kolobaric, A., Cozzolino, D. and Chapman, J. (2024). Environmental forensics. Chemometric methods in forensic science. (pp. 254-293) edited by Vishal Sharma, Georgina Sauzier and Simon W. Lewis. Cambridge, United Kingdom: Royal Society of Chemistry. doi: 10.1039/BK9781839166099-00254
2023
Book Chapter
Environmental forensics
Kolobaric, A., Cozzolino, D. and Chapman, J. (2023). Environmental forensics. Chemometric methods in forensic science. (pp. 254-293) edited by Vishal Sharma, Georgina Sauzier and Simon W. Lewis. London, United Kingdom: Royal Society of Chemistry. doi: 10.1039/bk9781839166099-00254
2023
Journal Article
Phenolics and spectroscopy: challenges and successful stories in the grape and wine industry
Cozzolino, Daniel (2023). Phenolics and spectroscopy: challenges and successful stories in the grape and wine industry. Journal of the Science of Food and Agriculture, 105 (3), 1408-1412. doi: 10.1002/jsfa.13173
2023
Conference Publication
Phenolic compounds of Burdekin plum during fruit leather processing and storage
Chen, Gengning, Sultanbawa, Yasmina, Netzel, Michael E., Cozzolino, Daniel, Olarte Mantilla, Sandra Milena and Sivakumaran, Dharini (2023). Phenolic compounds of Burdekin plum during fruit leather processing and storage. Queensland Annual Chemistry Symposium (QACS), Brisbane, QLD, Australia, 24 November 2023.
2023
Journal Article
Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts
Cozzolino, D., Zhang, S., Khole, A., Yang, Z., Ingle, P., Beya, M., van Jaarsveld, P. F., Bureš, D. and Hoffman, L. C. (2023). Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts. Journal of Food Science and Technology, 61 (5), 950-957. doi: 10.1007/s13197-023-05890-1
2023
Journal Article
The use of a droplet collar accessory attached to a portable near infrared instrument to identify methanol contamination in whisky
Kolobaric, Adam, Orrell-Trigg, Rebecca, Orloff, Seth, Fraser, Vanessa, Chapman, James and Cozzolino, Daniel (2023). The use of a droplet collar accessory attached to a portable near infrared instrument to identify methanol contamination in whisky. Sensors, 23 (21) 8969, 1-10. doi: 10.3390/s23218969
2023
Conference Publication
Mid-infrared spectroscopy can identify changes in plasma profiles associated with dietary interventions: Untargeted omic screening
Cozzolino, D., Navarro, M., Taylor, S., Ibanez, C., Pascal, N., Tedo, G., Müller, M. and Roura, E. (2023). Mid-infrared spectroscopy can identify changes in plasma profiles associated with dietary interventions: Untargeted omic screening. Manipulating Pig Production XIX, Brisbane, QLD Australia, 13-16 November 2023. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.anscip.2023.09.074
2023
Journal Article
Determination of glucosinolates in broccoli (Brassica oleracea var. italica) by combining mid‐infrared (MIR) spectroscopy with chemometrics
Ali Redha, Ali, Langston, Faye, Nash, Geoffrey R., Bows, John R., Torquati, Luciana, Gidley, Michael J. and Cozzolino, Daniel (2023). Determination of glucosinolates in broccoli (Brassica oleracea var. italica) by combining mid‐infrared (MIR) spectroscopy with chemometrics. International Journal of Food Science and Technology, 58 (11), 5679-5688. doi: 10.1111/ijfs.16664
2023
Conference Publication
The ability of near infrared spectroscopy to measure volatile compounds in pig feed ingredients
Navarro, M., Cozzolino, D., Taylor, S., Müller, M., Pascal, N., Tedo, G., Ibanez, C. and Roura, E. (2023). The ability of near infrared spectroscopy to measure volatile compounds in pig feed ingredients. Manipulating Pig Production XIX, Brisbane, QLD Australia, 13-16 November 2023. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.anscip.2023.09.070
2023
Journal Article
Qualitative analysis of broccoli (Brassica oleracea var. italica) glucosinolates: Investigating the use of mid-infrared spectroscopy combined with chemometrics
Langston, Faye, Redha, Ali Ali, Nash, Geoffrey R., Bows, John R., Torquati, Luciana, Gidley, Michael J. and Cozzolino, Daniel (2023). Qualitative analysis of broccoli (Brassica oleracea var. italica) glucosinolates: Investigating the use of mid-infrared spectroscopy combined with chemometrics. Journal of Food Composition and Analysis, 123 105532, 1-9. doi: 10.1016/j.jfca.2023.105532
2023
Journal Article
An overview of pre-processing methods available for hyperspectral imaging applications
Cozzolino, D., Williams, P. J. and Hoffman, L. C. (2023). An overview of pre-processing methods available for hyperspectral imaging applications. Microchemical Journal, 193 109129, 1-5. doi: 10.1016/j.microc.2023.109129
2023
Conference Publication
Assessing the quality of Burdekin plum (Pleiogynium timoriense) during postharvest storage
Chen, Gengning, Cozzolino, Daniel, Netzel, Michael, Olarte Mantilla, Sandra and Sultanbawa, Yasmina (2023). Assessing the quality of Burdekin plum (Pleiogynium timoriense) during postharvest storage. Key Technologies in the Bioeconomy: A Global Bioeconomy Alliance Conference, St. Lucia, QLD, Australia, 27-29 September 2023.
2023
Journal Article
Advantages and limitations of using near infrared spectroscopy in plant phenomics applications
Cozzolino, Daniel (2023). Advantages and limitations of using near infrared spectroscopy in plant phenomics applications. Computers and Electronics in Agriculture, 212 108078. doi: 10.1016/j.compag.2023.108078
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
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
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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
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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