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
2023
Journal Article
Using mid infrared spectroscopy combined with chemometrics to determine digested starch and maltose concentration during in‐vitro digestion of starches
Visnupriyan, Ramanah, Flanagan, Bernadine, Harper, Karen and Cozzolino, Daniel (2023). Using mid infrared spectroscopy combined with chemometrics to determine digested starch and maltose concentration during in‐vitro digestion of starches. International Journal of Food Science and Technology, 58 (9), 4675-4682. doi: 10.1111/ijfs.16573
2023
Journal Article
The ability of near-infrared spectroscopy to discriminate plant protein mixtures: a preliminary study
Dayananda, Buddhi, Chahwala, Priyam and Cozzolino, Daniel (2023). The ability of near-infrared spectroscopy to discriminate plant protein mixtures: a preliminary study. AppliedChem, 3 (3), 428-436. doi: 10.3390/appliedchem3030027
2023
Journal Article
Advances, limitations, and considerations on the use of vibrational spectroscopy towards the development of management decision tools in food safety
Cozzolino, Daniel and Chapman, James (2023). Advances, limitations, and considerations on the use of vibrational spectroscopy towards the development of management decision tools in food safety. Analytical and Bioanalytical Chemistry, 416 (3), 611-620. doi: 10.1007/s00216-023-04849-7
2023
Journal Article
Near infrared spectroscopy for prediction of yeast and mould counts in black soldier fly larvae, feed and frass: a proof of concept
Alagappan, Shanmugam, Dong, Anran, Mikkelsen, Deirdre, Hoffman, Louwrens C., Mantilla, Sandra Milena Olarte, James, Peter, Yarger, Olympia and Cozzolino, Daniel (2023). Near infrared spectroscopy for prediction of yeast and mould counts in black soldier fly larvae, feed and frass: a proof of concept. Sensors, 23 (15) 6946, 1-13. doi: 10.3390/s23156946
2023
Book Chapter
Cereals, pseudocereals, flour, and bakery products
Cozzolino, Daniel (2023). Cereals, pseudocereals, flour, and bakery products. Emerging food authentication methodologies using GC/MS. (pp. 47-63) edited by Kristian Pastor. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-30288-6_3
2023
Journal Article
Non-destructive prediction of total phenolics and antioxidants in hulled and naked oat genotypes with near-infrared spectroscopy
Meenu, Maninder, Cozzolino, Daniel and Xu, Baojun (2023). Non-destructive prediction of total phenolics and antioxidants in hulled and naked oat genotypes with near-infrared spectroscopy. Journal of Food Measurement and Characterization, 17 (5), 4893-4904. doi: 10.1007/s11694-023-02009-0
2023
Journal Article
Discrimination of lamb (Ovis aries), emu (Dromaius novaehollandiae), camel (Camelus dromedarius) and beef (Bos taurus) binary mixtures using a portable near infrared instrument combined with chemometrics
Hoffman, L., Ingle, P., Hemant Khole, A., Zhang, S., Yang, Z., Beya, M., Bureš, D. and Cozzolino, D. (2023). Discrimination of lamb (Ovis aries), emu (Dromaius novaehollandiae), camel (Camelus dromedarius) and beef (Bos taurus) binary mixtures using a portable near infrared instrument combined with chemometrics. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 294 122506, 1-8. doi: 10.1016/j.saa.2023.122506
2023
Journal Article
Possibilities on the application of vibrational spectroscopy and data analytics in precision nutrition
Dongdong, Ni and Cozzolino, Daniel (2023). Possibilities on the application of vibrational spectroscopy and data analytics in precision nutrition. TrAC Trends in Analytical Chemistry, 163 117067. doi: 10.1016/j.trac.2023.117067
2023
Journal Article
Determination of glucosinolates and isothiocyanates in glucosinolate-rich vegetables and oilseeds using infrared spectroscopy: A systematic review
Ali Redha, Ali, Torquati, Luciana, Langston, Faye, Nash, Geoffrey R., Gidley, Michael J. and Cozzolino, Daniel (2023). Determination of glucosinolates and isothiocyanates in glucosinolate-rich vegetables and oilseeds using infrared spectroscopy: A systematic review. Critical Reviews in Food Science and Nutrition, 64 (23), 1-17. doi: 10.1080/10408398.2023.2198015
2023
Journal Article
Biogeographic variability in kernel oil and press cake content of beauty leaf tree (Calophyllum inophyllum L.), as determined by chemical and near-infrared spectroscopy analysis
Sreekumar, Rahul, Ashwath, Nanjappa and Cozzolino, Daniel (2023). Biogeographic variability in kernel oil and press cake content of beauty leaf tree (Calophyllum inophyllum L.), as determined by chemical and near-infrared spectroscopy analysis. Sustainability, 15 (6) 5529, 1-13. doi: 10.3390/su15065529
2023
Journal Article
Emerging non‐destructive techniques to quantify the textural properties of food: a state‐of‐art review
Mishra, Gayatri, Sahni, Prashant, Pandiselvam, R., Panda, Brajesh Kumar, Bhati, Dolly, Mahanti, Naveen Kumar, Kothakota, Anjineyulu, Kumar, Manoj and Cozzolino, Daniel (2023). Emerging non‐destructive techniques to quantify the textural properties of food: a state‐of‐art review. Journal of Texture Studies, 54 (2), 173-205. doi: 10.1111/jtxs.12741
2023
Journal Article
Advances in spectrometric techniques in food analysis and authentication
Cozzolino, Daniel (2023). Advances in spectrometric techniques in food analysis and authentication. Foods, 12 (3) 438, 438. doi: 10.3390/foods12030438
2023
Conference Publication
Infrared spectroscopy combined with machine learning techniques to monitor starch in vitro digestibility
Visnupriyan, R., Harper, K., Flanagan, B. and Cozzolino, D. (2023). Infrared spectroscopy combined with machine learning techniques to monitor starch in vitro digestibility. 46th Annual Scientific Meeting of the Nutrition Society of Australia, Perth, WA, Australia, 29 November - 2 December. Cambridge, United Kingdom: Cambridge University Press. doi: 10.1017/S0029665123002057
2023
Journal Article
State of the art and the future of fecal analysis using infrared spectroscopy
Kho, Elise A., Fernandes, Jill N., Tilbrook, Alan J., Fox, Glen P., Sikulu-Lord, Maggy T., Kotze, Andrew C., Beasley, Anne M., James, Peter J., Tolleson, Douglas R. and Cozzolino, Daniel (2023). State of the art and the future of fecal analysis using infrared spectroscopy. Applied Spectroscopy Reviews, 58 (10), 755-785. doi: 10.1080/05704928.2022.2143795
2023
Book Chapter
Statistical and mathematical models in food authentication
Dayananda, B. and Cozzolino, D. (2023). Statistical and mathematical models in food authentication. Emerging food authentication methodologies using GC/MS. (pp. 33-43) edited by Kristian Pastor. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-30288-6_2
2023
Journal Article
Evaluating the use of a similarity index (SI) combined with near nfrared (NIR) spectroscopy as method in meat species authenticity
Cozzolino, Daniel, Bureš, Daniel and Hoffman, Louwrens C. (2023). Evaluating the use of a similarity index (SI) combined with near nfrared (NIR) spectroscopy as method in meat species authenticity. Foods, 12 (1) 182, 1-8. doi: 10.3390/foods12010182
2023
Journal Article
Broad spectrum antibacterial zinc oxide-reduced graphene oxide nanocomposite for water depollution
Rajapaksha, P., Orrell-Trigg, R., Shah, D., Cheeseman, S., Vu, K.B., Ngo, S.T., Murdoch, B.J., Choudhury, N.R., Yin, H., Cozzolino, D., Truong, Y.B., Lee, A.F., Truong, V.K. and Chapman, J. (2023). Broad spectrum antibacterial zinc oxide-reduced graphene oxide nanocomposite for water depollution. Materials Today Chemistry, 27 101242. doi: 10.1016/j.mtchem.2022.101242
2023
Book Chapter
Advances in the analysis of fruits by near-infrared spectroscopy
Cozzolino, D. and Dayananda, B. (2023). Advances in the analysis of fruits by near-infrared spectroscopy. Advances in spectroscopic analysis of food and drink. (pp. 7-1-7-20) edited by Ashutosh Kumar Shukla. Bristol, U.K.: IOP Publishing. doi: 10.1088/978-0-7503-5573-5ch7
2022
Journal Article
Impact of Growing Location on Kakadu Plum Fruit Composition and In Vitro Bioactivity as Determinants of Its Nutraceutical Potential
Bobasa, Eshetu M., Akter, Saleha, Phan, Anh Dao Thi, Netzel, Michael E., Cozzolino, Daniel, Osborne, Simone and Sultanbawa, Yasmina (2022). Impact of Growing Location on Kakadu Plum Fruit Composition and In Vitro Bioactivity as Determinants of Its Nutraceutical Potential. Nutraceuticals, 3 (1), 13-25. doi: 10.3390/nutraceuticals3010002
2022
Journal Article
Editorial: Spectroscopic applications for quality profiling and authentication of food products
Pandiselvam, R., Cozzolino, Daniel and Kothakota, Anjineyulu (2022). Editorial: Spectroscopic applications for quality profiling and authentication of food products. Frontiers in Nutrition, 9 1121385, 1121385. doi: 10.3389/fnut.2022.1121385
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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