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
2026
Journal Article
The contribution of vibrational spectroscopy and data analytics towards the achievement of the global sustainability goals
Cozzolino, Daniel and Hoffman, Louwrens C. (2026). The contribution of vibrational spectroscopy and data analytics towards the achievement of the global sustainability goals. Journal of the Science of Food and Agriculture, 106 (6) jsfa.70206, 3239-3246. doi: 10.1002/jsfa.70206
2026
Journal Article
An exploratory study on the use of near infrared spectroscopy to analyse the addition of different polymers and the concentration of PET to black soldier fly larvae
Kolobaric, Adam, Hoffman, Louwrens C., Chapman, James and Cozzolino, Daniel (2026). An exploratory study on the use of near infrared spectroscopy to analyse the addition of different polymers and the concentration of PET to black soldier fly larvae. Journal of Environmental Chemical Engineering, 14 (2) 121340, 1-9. doi: 10.1016/j.jece.2026.121340
2026
Journal Article
Chemometrics, Infrared Sensors and Precision Fermentation – Where are We?
Alagappan, Shanmugan, Nastasi, Joseph Robert, Hoffman, Louwrens C. and Cozzolino, Daniel (2026). Chemometrics, Infrared Sensors and Precision Fermentation – Where are We?. Food Reviews International, 1-18. doi: 10.1080/87559129.2026.2643455
2026
Journal Article
Effect of sample presentation on the identification of polypropylene (PP), polyethylene terephthalate (PET), and polystyrene (PS) using a portable near infrared instrument
Kolobaric, A., Hoffman, L. C., Chapman, J. and Cozzolino, D. (2026). Effect of sample presentation on the identification of polypropylene (PP), polyethylene terephthalate (PET), and polystyrene (PS) using a portable near infrared instrument. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 348 (Pt 1) 127190, 127190. doi: 10.1016/j.saa.2025.127190
2026
Journal Article
Monitoring physiological correlates or biomarkers of welfare in animals – practical applications of vibrational spectroscopy and machine learning
Fernandes, J. N., Hoffman, L. C., Kho, E. A., Navarro, M., Roura, E., Tilbrook, A. J., Blache, D. and Cozzolino, D. (2026). Monitoring physiological correlates or biomarkers of welfare in animals – practical applications of vibrational spectroscopy and machine learning. Applied Spectroscopy Reviews, 1-24. doi: 10.1080/05704928.2026.2637926
2026
Journal Article
Plastics and persistent chemical contaminants in food waste: challenges for the circular economy
Kolobaric, Adam, Alagappan, Shanmugam, Hoffman, Louwrens C., Cozzolino, Daniel and Chapman, James (2026). Plastics and persistent chemical contaminants in food waste: challenges for the circular economy. Journal of Hazardous Materials Advances, 21 100996, 1-17. doi: 10.1016/j.hazadv.2025.100996
2026
Journal Article
The influence of the nitrogen-to-protein conversion factors on the prediction of crude protein in black soldier fly larvae (<i>Hermetia illucens</i>) using near-infrared spectroscopy
Alagappan, S., Nastasi, J. R., Hoffman, L. C. and Cozzolino, D. (2026). The influence of the nitrogen-to-protein conversion factors on the prediction of crude protein in black soldier fly larvae (Hermetia illucens) using near-infrared spectroscopy. Analytical and Bioanalytical Chemistry, 418 (5), 1511-1516. doi: 10.1007/s00216-025-06311-2
2026
Journal Article
Vibrational spectroscopy using portable devices combined with traditional machine learning: a powerful tool for insect rearing and food quality assessment
Mendez-Sanchez, Carmen, Ortiz, Mayreli, Güell, Carme, Ferrando, Montserrat, Cozzolino, Daniel and De Lamo Castellvi, Silvia (2026). Vibrational spectroscopy using portable devices combined with traditional machine learning: a powerful tool for insect rearing and food quality assessment. Green Chemistry Letters and Reviews, 19 (1) 2608409. doi: 10.1080/17518253.2025.2608409
2026
Journal Article
AI in food sciences and technology–beyond the algorithms
Hoffman, Louwrens C. and Cozzolino, Daniel (2026). AI in food sciences and technology–beyond the algorithms. Critical Reviews in Food Science and Nutrition, 66 (1), 172-182. doi: 10.1080/10408398.2025.2520397
2026
Journal Article
Modelling Black Soldier Fly Larvae Growth Performance Based on Chemical Composition and Rearing Conditions—A Machine Learning Approach
Alagappan, Shanmugam, Hoffman, Louwrens and Cozzolino, Daniel (2026). Modelling Black Soldier Fly Larvae Growth Performance Based on Chemical Composition and Rearing Conditions—A Machine Learning Approach. Waste and Biomass Valorization. doi: 10.1007/s12649-026-03541-y
2025
Journal Article
Comparison of benchtop and portable near-infrared instruments to predict the type of microplastic added to high-moisture food samples
Kolobaric, Adam, Alagappan, Shanmugam, Čaloudová, Jana, Hoffman, Louwrens C., Chapman, James and Cozzolino, Daniel (2025). Comparison of benchtop and portable near-infrared instruments to predict the type of microplastic added to high-moisture food samples. Sensors, 26 (1) 210, 210. doi: 10.3390/s26010210
2025
Journal Article
Influence of the waste substrate and extraction method on the lipid profile of black soldier fly (Hermetia illucens)
Mendez Sanchez, C., De Lamo Castelvi, S., Alagappan, S., Hoffman, L. C., Yarger, O. and Cozzolino, D. (2025). Influence of the waste substrate and extraction method on the lipid profile of black soldier fly (Hermetia illucens). Journal of Insects as Food and Feed, 1-11. doi: 10.1163/23524588-bja10347
2025
Journal Article
Process Analytical Technologies (PAT) in the Food Industry: An Agile Tool for Traceability and Sustainability
Alagappan, Shanmugam, Hoffman, Louwrens Christiaan and Cozzolino, Daniel (2025). Process Analytical Technologies (PAT) in the Food Industry: An Agile Tool for Traceability and Sustainability. Critical Reviews in Analytical Chemistry, 1-8. doi: 10.1080/10408347.2025.2601695
2025
Journal Article
Environmentally friendly and rapid quality control methods for the sustainable edible insect industry
Alagappan, Shanmugam, Mendez Sanchez, Carmen, De Lamo-Castellví, Sílvia, Hoffman, Louwrens Christiaan and Cozzolino, Daniel (2025). Environmentally friendly and rapid quality control methods for the sustainable edible insect industry. Processes, 13 (12) 4014. doi: 10.3390/pr13124014
2025
Conference Publication
Evaluating the relationship among sensory, mechanical and histological parameters using the Warner-Bratzler Shear Force method to assess fibrous texture in a diverse set of pineapple
Jenny, Farhana, Smyth, Heather, Moura Nadolny, Jaqueline, Sanewski, Garth, Cozzolino, Daniel and Hardner, Craig (2025). Evaluating the relationship among sensory, mechanical and histological parameters using the Warner-Bratzler Shear Force method to assess fibrous texture in a diverse set of pineapple. TropAg Conference2025, Brisbane, QLD, Australia, 11-13 November 2025.
2025
Journal Article
Authentication of Finger Lime (Citrus australasica) Cultivars Enhances Provenance in Australian Native Food Supply Chains
Nastasi, Joseph Robert, Perry, Keely Rose, Alagappan, Shanmugan, King, Jade Mia and Cozzolino, Daniel (2025). Authentication of Finger Lime (Citrus australasica) Cultivars Enhances Provenance in Australian Native Food Supply Chains. Journal of Food Composition and Analysis, 149 108665, 108665. doi: 10.1016/j.jfca.2025.108665
2025
Conference Publication
Characterising the relationship between volatile profiles and sensory attributes in Australian strawberry (Fragaria × ananassa) cultivars
Hettiarachchi, D., Smyth, H., Nguyen T., Cozzolino, D., Neal, J. and Hardner, C. (2025). Characterising the relationship between volatile profiles and sensory attributes in Australian strawberry (Fragaria × ananassa) cultivars. 4th Food Chemistry Conference, Glasgow, Scotland, United Kingdom, 14-16 October 2025.
2025
Conference Publication
Exploring pineapple fruit fibrous texture : bridging phenotypic traits to genetic factors
Jenny, Farhana, Hardner, Craig, Smyth, Heather, Moura Nadolny, Jaqueline, Sanewski, Garth and Cozzolino, Daniel (2025). Exploring pineapple fruit fibrous texture : bridging phenotypic traits to genetic factors. Hort Innovation “Genetics of Fruit Sensory Preferences” (AS19003) Annual Workshop, Brisbane, QLD, Australia, 15 October 2025.
2025
Journal Article
“The South Also Exists” – The first course in NIR spectroscopy in Uruguay
Galietta, Giovanni, Gonzalez, Carolina and Cozzolino, Daniel (2025). “The South Also Exists” – The first course in NIR spectroscopy in Uruguay. NIR news, 36 (3-4) 09603360251360419, 13-15. doi: 10.1177/09603360251360419
2025
Journal Article
Artificial intelligence-enhanced near infrared (NIR) spectroscopy for rapid diagnostics of infectious diseases
Nishadini Premasinghe, Chamodi, Broeckelmann, Chloe, Kolobaric, Adam, Cozzolino, Daniel and Chapman, James (2025). Artificial intelligence-enhanced near infrared (NIR) spectroscopy for rapid diagnostics of infectious diseases. Applied Spectroscopy Reviews, 1-28. doi: 10.1080/05704928.2025.2570816
Funding
Current funding
Supervision
Availability
- Associate Professor Daniel Cozzolino is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose 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: Dr Bernadine Flanagan, Professor Mike Gidley
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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, Associate Professor Elham Assadi Soumeh, Professor Louw Hoffman
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Doctor Philosophy
Nutritional and Physiological Evaluation of Black Soldier Fly (Hermetia illucens) Larvae as an Alternative Protein Source for Sustainable Broiler Production
Associate Advisor
Other advisors: Professor Eugeni Roura, Professor Louw Hoffman, Associate Professor Elham Assadi Soumeh
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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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Doctor Philosophy
Genetics of sensory traits in pineapple
Associate Advisor
Other advisors: Professor Heather Smyth, Associate Professor Craig Hardner, Dr Jaqueline Moura Nadolny
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Doctor Philosophy
The Effect of Inulin as a Cryoprotectant in Conventional Freezing and Rapid Freezing on the Microstructure and Physicochemical Properties of Red Meat
Associate Advisor
Other advisors: Professor Louw Hoffman
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Doctor Philosophy
Impact of post-flowering heat stress on yield components, grain protein and contribution of carbon assimilation in wheat
Associate Advisor
Other advisors: Professor Karine Chenu
Completed supervision
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2025
Doctor Philosophy
Improving the bioavailability of health-promoting phytochemicals found in broccoli for enhanced bioactivity
Principal Advisor
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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, Professor Yasmina Sultanbawa
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2025
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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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
Food and human factors contributing to food intake & appetite (satiation and satiety)
Associate Advisor
Other advisors: Professor Heather Smyth, Professor Mike Gidley
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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
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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