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
2022
Journal Article
Near infrared spectroscopy as a traceability tool to monitor black soldier fly larvae (Hermetia illucens) intended as animal feed
Alagappan, Shanmugam, Hoffman, Louwrens C., Olarte Mantilla, Sandra M., Mikkelsen, Deirdre, James, Peter, Yarger, Olympia and Cozzolino, Daniel (2022). Near infrared spectroscopy as a traceability tool to monitor black soldier fly larvae (Hermetia illucens) intended as animal feed. Applied Sciences, 12 (16) 8168, 8168. doi: 10.3390/app12168168
2022
Journal Article
Beyond the Black Box—Practical Considerations on the Use of Chemometrics Combined with Sensing Technologies in Food Science Applications
Dayananda, Buddhi and Cozzolino, Daniel (2022). Beyond the Black Box—Practical Considerations on the Use of Chemometrics Combined with Sensing Technologies in Food Science Applications. Chemosensors, 10 (8) 323, 1-10. doi: 10.3390/chemosensors10080323
2022
Journal Article
Editorial special issue food bioactive in human health and nutrition
Cozzolino, Daniel (2022). Editorial special issue food bioactive in human health and nutrition. Food Chemistry: Molecular Sciences, 4 100108, 100108. doi: 10.1016/j.fochms.2022.100108
2022
Journal Article
Unscrambling the provenance of eggs by combining chemometrics and near-infrared reflectance spectroscopy
Hoffman, Louwrens Christiaan , Ni, Dongdong , Dayananda, Buddhi , Ghafar, N. Abdul and Cozzolino, Daniel (2022). Unscrambling the provenance of eggs by combining chemometrics and near-infrared reflectance spectroscopy. Sensors, 22 (13) 4988, 4988. doi: 10.3390/s22134988
2022
Journal Article
Inside the egg—demonstrating provenance without the cracking using near infrared spectroscopy
Hoffman, Louw, Ni, Dongdong, Dayananda, Buddhi, AbdulGhafar, Nuratifah and Cozzolino, Daniel (2022). Inside the egg—demonstrating provenance without the cracking using near infrared spectroscopy. Food Analytical Methods, 15 (11), 3013-3019. doi: 10.1007/s12161-022-02348-6
2022
Journal Article
Shedding light on human tissue (in vivo) to predict satiation, satiety, and food intake using near infrared reflectance spectroscopy: A preliminary study
Ni, Dongdong, Smyth, Heather E., Gidley, Michael J. and Cozzolino, Daniel (2022). Shedding light on human tissue (in vivo) to predict satiation, satiety, and food intake using near infrared reflectance spectroscopy: A preliminary study. Innovative Food Science and Emerging Technologies, 78 103033, 103033. doi: 10.1016/j.ifset.2022.103033
2022
Journal Article
Analytical characterisation of material corrosion by biofilms
Dang, Yen T. H., Power, Aoife, Cozzolino, Daniel, Dinh, Khuong Ba, Ha, Binh Son, Kolobaric, Adam, Vongsvivut, Jitraporn, Truong, Vi Khanh and Chapman, James (2022). Analytical characterisation of material corrosion by biofilms. Journal of Bio- and Tribo-Corrosion, 8 (2) 50, 1-50. doi: 10.1007/s40735-022-00648-2
2022
Journal Article
Contemporary developments and emerging trends in the application of spectroscopy techniques: a particular reference to Coconut (Cocos nucifera L.)
Pandiselvam, Ravi, Kaavya, Rathnakumar, Martinez Monteagudo, Sergio I., Divya, V., Jain, Surangna, Khanashyam, Anandu Chandra, Kothakota, Anjineyulu, Prasath, V. Arun, Ramesh, S. V., Sruthi, N. U., Kumar, Manoj, Manikantan, M. R., Kumar, Chinnaraja Ashok, Khaneghah, Amin Mousavi and Cozzolino, Daniel (2022). Contemporary developments and emerging trends in the application of spectroscopy techniques: a particular reference to Coconut (Cocos nucifera L.). Molecules, 27 (10) 3250, 1-22. doi: 10.3390/molecules27103250
2022
Journal Article
Current perspectives for engineering antimicrobial nanostructured materials
Truong, Vi Khanh, Al Kobaisi, Mohammad, Vasilev, Krasimir, Cozzolino, Daniel and Chapman, James (2022). Current perspectives for engineering antimicrobial nanostructured materials. Current Opinion in Biomedical Engineering, 23 100399, 1-8. doi: 10.1016/j.cobme.2022.100399
2022
Journal Article
Integrating effects of human physiology, psychology, and individual variations on satiety: an exploratory study
Ni, Dongdong, Smyth, Heather E., Cozzolino, Daniel and Gidley, Michael J. (2022). Integrating effects of human physiology, psychology, and individual variations on satiety: an exploratory study. Frontiers in Nutrition, 9 872169, 872169. doi: 10.3389/fnut.2022.872169
2022
Journal Article
Partial least squares regression models to predict contaminant concentrations during high or low flow of coal mine-affected rivers
Jones, Catherine E., Vicente-Beckett, Victoria, Chapman, James and Cozzolino, Daniel (2022). Partial least squares regression models to predict contaminant concentrations during high or low flow of coal mine-affected rivers. River Research and Applications, 38 (5), 939-951. doi: 10.1002/rra.3959
2022
Journal Article
Editorial: Recent Advances of Near Infrared Applications in Fruits and Byproducts
Hernández-Hierro, José Miguel, Cozzolino, Daniel, Feng, Chao-Hui, Rato, Ana Elisa and Nogales-Bueno, Julio (2022). Editorial: Recent Advances of Near Infrared Applications in Fruits and Byproducts. Frontiers in Plant Science, 13 858040, 858040. doi: 10.3389/fpls.2022.858040
2022
Journal Article
Predicting satiety from the analysis of human saliva using mid-infrared spectroscopy combined with chemometrics
Ni, Dongdong, Smyth, Heather E., Gidley, Michael J. and Cozzolino, Daniel (2022). Predicting satiety from the analysis of human saliva using mid-infrared spectroscopy combined with chemometrics. Foods, 11 (5) 711, 711. doi: 10.3390/foods11050711
2022
Journal Article
Emerging non-destructive imaging techniques for fruit damage detection: image processing and analysis
Mahanti, Naveen Kumar, Pandiselvam, R., Kothakota, Anjineyulu, Ishwarya S., Padma, Chakraborty, Subir Kumar, Kumar, Manoj and Cozzolino, Daniel (2022). Emerging non-destructive imaging techniques for fruit damage detection: image processing and analysis. Trends in Food Science and Technology, 120, 418-438. doi: 10.1016/j.tifs.2021.12.021
2022
Conference Publication
Saliva interprets oral sensory physiology, oral processing behavior, and human satiety
Ni, Dongdong, Smyth, Heather, Cozzolino, Daniel and Gidley, Mike (2022). Saliva interprets oral sensory physiology, oral processing behavior, and human satiety. 16th Australia and New Zealand Sensory and Consumer Science Symposium , Brisbane, QLD Australia, 5-7 February 2022.
2022
Journal Article
An overview of the successful application of vibrational spectroscopy techniques to quantify nutraceuticals in fruits and plants
Cozzolino, Daniel (2022). An overview of the successful application of vibrational spectroscopy techniques to quantify nutraceuticals in fruits and plants. Foods, 11 (3) 315, 315. doi: 10.3390/foods11030315
2022
Journal Article
Advantages, opportunities, and challenges of vibrational spectroscopy as tool to monitor sustainable food systems
Cozzolino, Daniel (2022). Advantages, opportunities, and challenges of vibrational spectroscopy as tool to monitor sustainable food systems. Food Analytical Methods, 15 (5), 1390-1396. doi: 10.1007/s12161-021-02207-w
2022
Book Chapter
The assessment of grape products (berry, juice, and wine) quality using vibrational spectroscopy coupled with multivariate analysis
Power, A. C., Chapman, J., Chandra, S., Roberts, J. J., Dambergs, R. and Cozzolino, D. (2022). The assessment of grape products (berry, juice, and wine) quality using vibrational spectroscopy coupled with multivariate analysis. Managing wine quality: volume one: viticulture and wine quality. (pp. 187-206) edited by Andrew G. Reynolds. Cambridge, MA USA: Woodhead Publishing. doi: 10.1016/B978-0-08-102067-8.00004-X
2022
Journal Article
Preface
Cozzolino, Daniel (2022). Preface. Comprehensive Analytical Chemistry, 98. doi: 10.1016/S0166-526X(22)00082-4
2022
Book Chapter
New nanomaterials for wastewater depollution: methods using chemometric approaches
Dang, Yen T.H., Gangadoo, Sheeana, Truong, Vi Khanh, Cozzolino, Daniel and Chapman, James (2022). New nanomaterials for wastewater depollution: methods using chemometric approaches. Separations of water pollutants with nanotechnology. (pp. 287-298) edited by Satinder Ahuja. London, United Kingdom: Elsevier. doi: 10.1016/B978-0-323-90763-7.00013-5
Funding
Current funding
Past 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
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: Professor Mike Gidley
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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
Genetics of sensory traits in pineapple
Associate Advisor
Other advisors: Professor Heather Smyth, Associate Professor Craig Hardner
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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
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
Genetics of fruit sensory traits in strawberry
Associate Advisor
Other advisors: Professor Heather Smyth, Associate Professor Craig Hardner
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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
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
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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