Associate Professor Daniel Cozzolino
Associate Professor

Daniel Cozzolino

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Phone: 
+61 7 336 52144

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

Agricultural, Veterinary and Food Sciences Chemical Sciences

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

  • 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.

  • 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.

  • 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).

Search Professor Daniel Cozzolino’s works on UQ eSpace

454 works between 1996 and 2025
All (454) Journal Article (386) Book Chapter (38) Conference Publication (29) Book (1)

1 - 20 of 454 works

2025

Journal Article

Sensory profiling of Burdekin plum leathers and consumer acceptability of its combination with trail mix

Chen, Gengning, Olarte Mantilla, Sandra Milena, Netzel, Michael E., Cozzolino, Daniel and Sultanbawa, Yasmina (2025). Sensory profiling of Burdekin plum leathers and consumer acceptability of its combination with trail mix. Food Science and Nutrition, 13 (5) e70277, 1-15. doi: 10.1002/fsn3.70277

Sensory profiling of Burdekin plum leathers and consumer acceptability of its combination with trail mix

2025

Journal Article

Effect of the dietary ingredient composition and type of muscle on the classification of intact chicken muscles evaluated by near infrared spectroscopy

Soumeh, Elham Assadi, Hoffman, LC and Cozzolino, D (2025). Effect of the dietary ingredient composition and type of muscle on the classification of intact chicken muscles evaluated by near infrared spectroscopy. Journal of Near Infrared Spectroscopy. doi: 10.1177/09670335251329542

Effect of the dietary ingredient composition and type of muscle on the classification of intact chicken muscles evaluated by near infrared spectroscopy

2025

Journal Article

The effect of the level of goat liver addition to goat minced meat on the near-infrared spectra, colour, and shelf life of samples

Hoffman, Louwrens Christiaan, Wu, Wencong, Zhang, Shuxin, Beya, Michel and Cozzolino, Daniel (2025). The effect of the level of goat liver addition to goat minced meat on the near-infrared spectra, colour, and shelf life of samples. Foods, 14 (8) 1430, 1-12. doi: 10.3390/foods14081430

The effect of the level of goat liver addition to goat minced meat on the near-infrared spectra, colour, and shelf life of samples

2025

Journal Article

Optimization of the Optical Path-Length for the measurement of volatile compounds in wine using UV/Vis/NIR Spectroscopy

Manzano, J I, Cozzolino, D and Vilanova, M (2025). Optimization of the Optical Path-Length for the measurement of volatile compounds in wine using UV/Vis/NIR Spectroscopy. International Journal of Food Science and Technology. doi: 10.1093/ijfood/vvaf090

Optimization of the Optical Path-Length for the measurement of volatile compounds in wine using UV/Vis/NIR Spectroscopy

2025

Journal Article

The association between the flesh colour and carotenoid profile of 25 cultivars of mangoes

Takagi, Tatsuyoshi, Hong, Hung, Dillon, Natalie, Crisp, Peter, Cozzolino, Daniel and O’Hare, Tim (2025). The association between the flesh colour and carotenoid profile of 25 cultivars of mangoes. Molecules, 30 (8) 1661, 1-16. doi: 10.3390/molecules30081661

The association between the flesh colour and carotenoid profile of 25 cultivars of mangoes

2025

Journal Article

A feasibility study on the use of near infrared spectroscopy to predict fatty acid concentration in intact black soldier fly reared in different waste streams

Alagappan, Shanmugam, Hoffman, Louwrens, Yarger, Olympia and Cozzolino, Daniel (2025). A feasibility study on the use of near infrared spectroscopy to predict fatty acid concentration in intact black soldier fly reared in different waste streams. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 330 125628, 125628-330. doi: 10.1016/j.saa.2024.125628

A feasibility study on the use of near infrared spectroscopy to predict fatty acid concentration in intact black soldier fly reared in different waste streams

2025

Journal Article

The Combination of Machine Learning Tools with the Rapid Visco Analyser (RVA) to Enhance the Analysis of Starchy Food Ingredients and Products

Nastasi, Joseph Robert, Alagappan, Shanmugam and Cozzolino, Daniel (2025). The Combination of Machine Learning Tools with the Rapid Visco Analyser (RVA) to Enhance the Analysis of Starchy Food Ingredients and Products. Applied Sciences, 15 (6) 3376, 3376-6. doi: 10.3390/app15063376

The Combination of Machine Learning Tools with the Rapid Visco Analyser (RVA) to Enhance the Analysis of Starchy Food Ingredients and Products

2025

Journal Article

2025 Photonics for Agrifood roadmap: towards a sustainable and healthier planet

Smeesters, Lien, Venturini, Francesca, Paulus, Stefan, Mahlein, Anne-Katrin, Perpetuini, David, Cardone, Daniela, Merla, Arcangelo, Gac, Benjamin, Perrin, Stephane, Trégoat, Denis, Poffo, Luiz, Fournier, Antoine, Bonifazi, Giuseppe, Serranti, Silvia, Liao, Wenzhi, Osseiran, Noureddin, Vanwolleghem, Mathias, Peretti, Romain, Bandyopadhyay, Aparajita, Bertling, Karl, Parameswaran, Krishnan, Rakić, Aleksandar D., Sengupta, Amartya, Svanberg, Sune, Kujawinska, Małgorzata, Cozzolino, Daniel, Perez-Marin, Dolores, Entrenas de León, José A., Torres Rodríguez, Irina ... Mignani, Anna Grazia (2025). 2025 Photonics for Agrifood roadmap: towards a sustainable and healthier planet. Journal of Physics: Photonics. doi: 10.1088/2515-7647/adbea9

2025 Photonics for Agrifood roadmap: towards a sustainable and healthier planet

2025

Journal Article

Microbial safety of black soldier fly larvae (Hermetia illucens) reared on food waste streams

Alagappan, Shanmugam, Dong, Anran, Hoffman, Louwrens, Cozzolino, Daniel, Mantilla, Sandra Olarte, James, Peter, Yarger, Olympia and Mikkelsen, Deirdre (2025). Microbial safety of black soldier fly larvae (Hermetia illucens) reared on food waste streams. Waste Management, 194, 221-227. doi: 10.1016/j.wasman.2025.01.019

Microbial safety of black soldier fly larvae (Hermetia illucens) reared on food waste streams

2025

Journal Article

Shining light on seaweed—the utilization of vibrational spectroscopy and machine learning in the seaweed industry

Power, A, Chapman, J, Hoffman, L and Cozzolino, D (2025). Shining light on seaweed—the utilization of vibrational spectroscopy and machine learning in the seaweed industry. International Journal of Food Science and Technology, 60 (1) vvaf012. doi: 10.1093/ijfood/vvaf012

Shining light on seaweed—the utilization of vibrational spectroscopy and machine learning in the seaweed industry

2025

Journal Article

Microencapsulation of broccoli sulforaphane using whey and pea protein: in vitro dynamic gastrointestinal digestion and intestinal absorption by Caco-2-HT29-MTX-E12 cells

Ali Redha, Ali, Torquati, Luciana, Bows, John R., Gidley, Michael J. and Cozzolino, Daniel (2025). Microencapsulation of broccoli sulforaphane using whey and pea protein: in vitro dynamic gastrointestinal digestion and intestinal absorption by Caco-2-HT29-MTX-E12 cells. Food & Function, 16 (1), 71-86. doi: 10.1039/d4fo03446e

Microencapsulation of broccoli sulforaphane using whey and pea protein: in vitro dynamic gastrointestinal digestion and intestinal absorption by Caco-2-HT29-MTX-E12 cells

2025

Journal Article

Investigating the ability of mid-infrared spectroscopy to analyse dietary supplements (from type to digestion): a preliminary study on sulforaphane supplements

Redha, Ali Ali, Nash, Geoffrey R, Torquati, Luciana, Gidley, Michael J and Cozzolino, Daniel (2025). Investigating the ability of mid-infrared spectroscopy to analyse dietary supplements (from type to digestion): a preliminary study on sulforaphane supplements. International Journal of Food Science and Technology, 60 (1) vvae055. doi: 10.1093/ijfood/vvae055

Investigating the ability of mid-infrared spectroscopy to analyse dietary supplements (from type to digestion): a preliminary study on sulforaphane supplements

2025

Journal Article

The contribution of digital and sensing technologies and big data towards sustainable food supply and value chains

Cozzolino, Daniel (2025). The contribution of digital and sensing technologies and big data towards sustainable food supply and value chains. Sustainable Food Technology, 3 (1), 181-187. doi: 10.1039/d4fb00317a

The contribution of digital and sensing technologies and big data towards sustainable food supply and value chains

2024

Journal Article

Non-destructive prediction of fertility and sex in chicken eggs using the short wave near-infrared region

Schreuder, J., Niknafs, S., Williams, P., Roura, E., Hoffman, L.C. and Cozzolino, D. (2024). Non-destructive prediction of fertility and sex in chicken eggs using the short wave near-infrared region. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 322 124716. doi: 10.1016/j.saa.2024.124716

Non-destructive prediction of fertility and sex in chicken eggs using the short wave near-infrared region

2024

Journal Article

Low resolution food fingerprinting: vibrational spectroscopic methods for nondestructive food authentication

Cozzolino, Daniel (2024). Low resolution food fingerprinting: vibrational spectroscopic methods for nondestructive food authentication. Current Opinion in Food Science, 60 101229. doi: 10.1016/j.cofs.2024.101229

Low resolution food fingerprinting: vibrational spectroscopic methods for nondestructive food authentication

2024

Journal Article

Detection of low-level fentanyl concentrations in mixtures of cocaine, MDMA, methamphetamine, and caffeine via surface-enhanced Raman spectroscopy

Muneer, Saiqa, Smith, Matthew, Bazley, Mikaela M., Cozzolino, Daniel and Blanchfield, Joanne T. (2024). Detection of low-level fentanyl concentrations in mixtures of cocaine, MDMA, methamphetamine, and caffeine via surface-enhanced Raman spectroscopy. Journal of Forensic Sciences, 70 (1), 73-83. doi: 10.1111/1556-4029.15652

Detection of low-level fentanyl concentrations in mixtures of cocaine, MDMA, methamphetamine, and caffeine via surface-enhanced Raman spectroscopy

2024

Journal Article

Near or mid-infra-red spectroscopy of the prefrontal cortex to identify previous stressful experience in an animal

Blache, Dominique, Kho, Elise A., Tilbrook, Alan J., Tomas, Katelyn, Plush, Kate, D'Souza, Darryl, Maloney, Shane K. and Cozzolino, Daniel (2024). Near or mid-infra-red spectroscopy of the prefrontal cortex to identify previous stressful experience in an animal. Scientific Reports, 14 (1) 27594. doi: 10.1038/s41598-024-79171-y

Near or mid-infra-red spectroscopy of the prefrontal cortex to identify previous stressful experience in an animal

2024

Journal Article

Farm to fork applications: how vibrational spectroscopy can be used along the whole value chain?

Pandiselvam, Ravi, Aydar, Alev Yüksel, Aksoylu Özbek, Zeynep, Sözeri Atik, Didem, Süfer, Özge, Taşkin, Bilge, Olum, Emine, Ramniwas, Seema, Rustagi, Sarvesh and Cozzolino, Daniel (2024). Farm to fork applications: how vibrational spectroscopy can be used along the whole value chain?. Critical Reviews in Biotechnology, ahead-of-print (ahead-of-print), 1-44. doi: 10.1080/07388551.2024.2409124

Farm to fork applications: how vibrational spectroscopy can be used along the whole value chain?

2024

Journal Article

Food type, human physiology, and psychology factors affect food intake, perceived satiation, and satiety differently – an exploratory study

Ni, Dongdong, Smyth, Heather E., Mayr, Hannah, Gunness, Purnima, Cozzolino, Daniel and Gidley, Michael J. (2024). Food type, human physiology, and psychology factors affect food intake, perceived satiation, and satiety differently – an exploratory study. International Journal of Food Science and Technology, 59 (11), 8461-8472. doi: 10.1111/ijfs.17131

Food type, human physiology, and psychology factors affect food intake, perceived satiation, and satiety differently – an exploratory study

2024

Journal Article

Effect of larval instar and post‐harvest treatments on heavy metals in BSFL and frass reared on commercial food waste streams

Alagappan, Shanmugam, Mallard, Sam, Cozzolino, Daniel, Mikkelsen, Deirdre, James, Peter, Mantilla, Sandra Olarte, Yarger, Olympia and Hoffman, Louwrens (2024). Effect of larval instar and post‐harvest treatments on heavy metals in BSFL and frass reared on commercial food waste streams. International Journal of Food Science and Technology, 59 (11), 8214-8223. doi: 10.1111/ijfs.17511

Effect of larval instar and post‐harvest treatments on heavy metals in BSFL and frass reared on commercial food waste streams

Current funding

  • 2024 - 2026
    MyINDAH Diet - Inclusive Digital Solutions for Healthy and Sustainable Diets and Food Security in Java's Urban and Peri-Urban Food Systems
    Department of Foreign Affairs and Trade (DFAT) - KONEKSI / Knowledge Partnership Platform (KPP)
    Open grant
  • 2024 - 2025
    Natural compounds and essential oils to enhance the productivity of poultry and promote food safety
    Acacia Natural Science Pty Ltd
    Open grant
  • 2023 - 2025
    Ecological Traceability as a Public Commons - New Models of Indigenous Supply Chain Data Governance
    National Agriculture Traceability Grants - Australian Department of Agriculture, Fisheries and Forestry
    Open grant
  • 2023 - 2026
    Goat Industry - Sustainability Credentials Project
    Meat & Livestock Australia
    Open grant
  • 2023 - 2026
    North Queensland cotton-grains-cattle farming systems
    CRC for Developing Northern Australia
    Open grant
  • 2022 - 2025
    APL Industry Placement Program
    Australasian Pork Research Institute Ltd
    Open grant
  • 2022 - 2027
    Sustainable Precision Feeding in Broiler Chickens in Australia
    AgriFutures Chicken Meat Program Nutrition, Gut Health and Environment Research Program
    Open grant
  • 2021 - 2026
    Genetics of Fruit Sensory Preferences
    Horticulture Innovation Australia Limited
    Open grant

Past funding

  • 2022
    Objective Assessment of Seaweed Composition and Quality using rapid methods (Australia-Indonesia Centre PAIR Tactical Work Packages Project administered by Monash University)
    Monash University
    Open grant
  • 2021 - 2022
    Survey of Australian goat producers' use of KIDPLAN
    Meat & Livestock Australia
    Open grant
  • 2021 - 2024
    Optimising and industrialising black soldier fly (BSF) production: redirecting food waste to livestock feed production using insects
    Fight Food Waste CRC
    Open grant
  • 2020 - 2022
    Measurement of pH in high intramuscular fat samples and existing technology validation
    Meat & Livestock Australia
    Open grant
  • 2020 - 2021
    Authentication of Australian stingless bee honey - proof of concept study
    Queensland Health
    Open grant
  • 2019 - 2022
    Improving the efficiency of Kakadu Plum value chains to grow a robust and sustainable industry
    CRC for Developing Northern Australia
    Open grant

Availability

Associate Professor Daniel Cozzolino is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

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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