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
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
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
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
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
Journal Article
A review of environmental metabolism disrupting chemicals and effect biomarkers associating disease risks: where exposomics meets metabolomics
Sun, Jiachen, Fang, Runcheng, Wang, Hua, Xu, De-Xiang, Yang, Jing, Huang, Xiaochen, Cozzolino, Daniel, Fang, Mingliang and Huang, Yichao (2022). A review of environmental metabolism disrupting chemicals and effect biomarkers associating disease risks: where exposomics meets metabolomics. Environment International, 158 106941, 1-16. doi: 10.1016/j.envint.2021.106941
2022
Book Chapter
Advances in the utilization of mid infrared spectroscopy to analyzing the composition and provenance of Australian plant-based foods
Cozzolino, Daniel (2022). Advances in the utilization of mid infrared spectroscopy to analyzing the composition and provenance of Australian plant-based foods. FTIR spectroscopy: advances in research and applications. (pp. 27-41) edited by Adriana S. França and Leandro S. Oliveira. New York, NY, United States: Nova Science Publishers.
2022
Journal Article
Preface
Cozzolino, Daniel (2022). Preface. Comprehensive Analytical Chemistry, 98. doi: 10.1016/S0166-526X(22)00082-4
2022
Journal Article
A preliminary study on the utilisation of near infrared spectroscopy to predict age and in vivo human metabolism
Ni, Dongdong, Smyth, Heather E., Gidley, Michael J. and Cozzolino, Daniel (2022). A preliminary study on the utilisation of near infrared spectroscopy to predict age and in vivo human metabolism. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 265 120312, 120312. doi: 10.1016/j.saa.2021.120312
2022
Journal Article
Organic side streams (bioproducts) as substrate for black soldier fly (Hermetia illucens) intended as animal feed: chemical safety issues
Alagappan, Shanmugam, Rowland, Duncan, Barwell, Rob, Cozzolino, Daniel, Mikkelsen, Deirdre, Olarte Mantilla, Sandra M., James, Peter, Yarger, Olympia and Hoffman, Louwrens (2022). Organic side streams (bioproducts) as substrate for black soldier fly (Hermetia illucens) intended as animal feed: chemical safety issues. Animal Production Science, 62 (17), 1639-1651. doi: 10.1071/an22155
2022
Conference Publication
Saliva interprets oral sensory physiology, oral processing behaviour, and human satiety
Ni, Dongdong, Cozzolino, Daniel, Gidley, Mike and Smyth, Heather (2022). Saliva interprets oral sensory physiology, oral processing behaviour, and human satiety. 16th Australian and New Zealand Sensory and Consumer Science Symposium, Brisbane, QLD, Australia, 15-17 February 2022.
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
2022
Book Chapter
Near infrared for white wine analysis
Power, A. and Cozzolino, D. (2022). Near infrared for white wine analysis. White wine technology. (pp. 239-246) edited by Antonia Morata. London, United Kingdom: Academic Press. doi: 10.1016/B978-0-12-823497-6.00009-0
2022
Book Chapter
Artificial intelligence applied to healthcare and biotechnology
Chapman, James, Truong, Vi Khanh and Cozzolino, Daniel (2022). Artificial intelligence applied to healthcare and biotechnology. Biotechnology in Healthcare, Volume 1: Technologies and Innovations. (pp. 249-257) edited by Debmalya Barh. London, United Kingdom: Academic Press/Elsevier. doi: 10.1016/B978-0-323-89837-9.00001-2
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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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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