Skip to menu Skip to content Skip to footer
Associate Professor Daniel Cozzolino
Associate Professor

Daniel Cozzolino

Email: 
Phone: 
+61 7 336 52144

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

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).

Works

Search Professor Daniel Cozzolino’s works on UQ eSpace

482 works between 1996 and 2026

61 - 80 of 482 works

2024

Journal Article

Finding biomarkers of experience in animals

Babington, Sarah, Tilbrook, Alan J., Maloney, Shane K., Fernandes, Jill N., Crowley, Tamsyn M., Ding, Luoyang, Fox, Archa H., Zhang, Song, Kho, Elise A., Cozzolino, Daniel, Mahony, Timothy J. and Blache, Dominique (2024). Finding biomarkers of experience in animals. Journal of Animal Science and Biotechnology, 15 (1) 28, 1-20. doi: 10.1186/s40104-023-00989-z

Finding biomarkers of experience in animals

2024

Journal Article

Near-infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass

Alagappan, Shanmugam, Hoffman, Louwrens, Mikkelsen, Deirdre, Olarte Mantilla, Sandra, James, Peter, Yarger, Olympia and Cozzolino, Daniel (2024). Near-infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass. Journal of the Science of Food and Agriculture, 104 (3), 1487-1496. doi: 10.1002/jsfa.13044

Near-infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass

2024

Journal Article

Evaluating the use of vibrational spectroscopy to detect the level of adulteration of cricket powder in plant flours: the effect of the matrix

Alagappan, Shanmugam, Ma, Siyu, Nastasi, Joseph Robert, Hoffman, Louwrens C. and Cozzolino, Daniel (2024). Evaluating the use of vibrational spectroscopy to detect the level of adulteration of cricket powder in plant flours: the effect of the matrix. Sensors, 24 (3) 924, 924. doi: 10.3390/s24030924

Evaluating the use of vibrational spectroscopy to detect the level of adulteration of cricket powder in plant flours: the effect of the matrix

2024

Book Chapter

Food adulteration

Cozzolino, Daniel, Dayananda, Buddhi and Chapman, James (2024). Food adulteration. Chemometrics. (pp. 273-291) edited by Fabiano André Narciso Fernandes, Elenilson Godoy Alves Filho and Sueli Rodrigues. Amsterdam, Netherlands: Elsevier. doi: 10.1016/B978-0-443-21493-6.00011-3

Food adulteration

2024

Conference Publication

Phenolic composition, antimicrobial activity and antioxidant capacity of Burdekin plum during maturation

Chen, Gengning, Netzel, Michael E., Cozzolino, Daniel, Sivakumaran, Dharini and Sultanbawa, Yasmina (2024). Phenolic composition, antimicrobial activity and antioxidant capacity of Burdekin plum during maturation. Postharvest 2024, Fruit and Vegetable Health, Rotorua, New Zealand, 11-15 November 2024.

Phenolic composition, antimicrobial activity and antioxidant capacity of Burdekin plum during maturation

2024

Journal Article

Predicting oil content of Australian beauty leaf tree kernel samples using near infrared spectroscopy combined with chemometrics

Sreekumar, Rahul, Ashwath, Nanjappa, Cozzolino, Daniel and Walsh, Kerry (2024). Predicting oil content of Australian beauty leaf tree kernel samples using near infrared spectroscopy combined with chemometrics. Journal of Near Infrared Spectroscopy, 32 (1-2), 3-9. doi: 10.1177/09670335231225820

Predicting oil content of Australian beauty leaf tree kernel samples using near infrared spectroscopy combined with chemometrics

2024

Journal Article

Predicting egg storage time with a portable near-infrared instrument: effects of temperature and production system

Cozzolino, Daniel, Sanal, Pooja, Schreuder, Jana, Williams, Paul James, Assadi Soumeh, Elham, Dekkers, Milou Helene, Anderson, Molly, Boisen, Sheree and Hoffman, Louwrens Christiaan (2024). Predicting egg storage time with a portable near-infrared instrument: effects of temperature and production system. Foods, 13 (2) 212, 1-11. doi: 10.3390/foods13020212

Predicting egg storage time with a portable near-infrared instrument: effects of temperature and production system

2024

Journal Article

Development of Liquid Chromatography-Mass Spectrometry (LC-MS) method for quantification of broccoli sulforaphane

Ali Redha, Ali, Hong, Hung T., Torquati, Luciana, Nash, Geoffrey R., Gidley, Michael J. and Cozzolino, Daniel (2024). Development of Liquid Chromatography-Mass Spectrometry (LC-MS) method for quantification of broccoli sulforaphane. Food Analytical Methods, 17 (1), 1-6. doi: 10.1007/s12161-023-02544-y

Development of Liquid Chromatography-Mass Spectrometry (LC-MS) method for quantification of broccoli sulforaphane

2024

Journal Article

Near infrared spectroscopy combined with chemometrics as tool to monitor starch hydrolysis

Visnupriyan, R., Flanagan, B.M., Harper, K.J. and Cozzolino, D. (2024). Near infrared spectroscopy combined with chemometrics as tool to monitor starch hydrolysis. Carbohydrate Polymers, 324 121469, 121469. doi: 10.1016/j.carbpol.2023.121469

Near infrared spectroscopy combined with chemometrics as tool to monitor starch hydrolysis

2024

Journal Article

Rapid screening of bacteriostatic and bactericidal antimicrobial agents against Escherichia coli by combining machine learning (artificial intelligence) and UV-VIS spectroscopy

Orrell-Trigg, R., Awad, M., Gangadoo, S., Cheeseman, S., Shaw, Z. L., Truong, V. K., Cozzolino, D. and Chapman, J. (2024). Rapid screening of bacteriostatic and bactericidal antimicrobial agents against Escherichia coli by combining machine learning (artificial intelligence) and UV-VIS spectroscopy. The Analyst, 149 (5), 1597-1608. doi: 10.1039/d3an01608k

Rapid screening of bacteriostatic and bactericidal antimicrobial agents against Escherichia coli by combining machine learning (artificial intelligence) and UV-VIS spectroscopy

2024

Conference Publication

Unlocking aromas: the utility of volatile organic compounds in Australian stingless bee products

Wolvetang, Gabriel, Cozzolino, Daniel, Blanchfield, Joanne T. and Hungerford, Natasha L. (2024). Unlocking aromas: the utility of volatile organic compounds in Australian stingless bee products. NextGen Ag Symposium, Brisbane, QLD, Australia, 6 September.

Unlocking aromas: the utility of volatile organic compounds in Australian stingless bee products

2024

Conference Publication

Impact of post-flowering heatwaves on individual grain weight and quality in wheat

Yahya, Muhammad, Ullah, Najeeb, Cozzolino, Daniel, Christopher, Jack, Kuhn, Estelle and Chenu, Karine (2024). Impact of post-flowering heatwaves on individual grain weight and quality in wheat. 21st Australian Agronomy Conference, Albany, WA, Australia, 21-24 October 2024. Albany, WA, Australia: Australian Agronomy Conference.

Impact of post-flowering heatwaves on individual grain weight and quality in wheat

2024

Book Chapter

Environmental forensics

Kolobaric, A., Cozzolino, D. and Chapman, J. (2024). Environmental forensics. Chemometric methods in forensic science. (pp. 254-293) edited by Vishal Sharma, Georgina Sauzier and Simon W. Lewis. Cambridge, United Kingdom: Royal Society of Chemistry. doi: 10.1039/BK9781839166099-00254

Environmental forensics

2023

Book Chapter

Environmental forensics

Kolobaric, A., Cozzolino, D. and Chapman, J. (2023). Environmental forensics. Chemometric methods in forensic science. (pp. 254-293) edited by Vishal Sharma, Georgina Sauzier and Simon W. Lewis. London, United Kingdom: Royal Society of Chemistry. doi: 10.1039/bk9781839166099-00254

Environmental forensics

2023

Journal Article

Phenolics and spectroscopy: challenges and successful stories in the grape and wine industry

Cozzolino, Daniel (2023). Phenolics and spectroscopy: challenges and successful stories in the grape and wine industry. Journal of the Science of Food and Agriculture, 105 (3), 1408-1412. doi: 10.1002/jsfa.13173

Phenolics and spectroscopy: challenges and successful stories in the grape and wine industry

2023

Conference Publication

Phenolic compounds of Burdekin plum during fruit leather processing and storage

Chen, Gengning, Sultanbawa, Yasmina, Netzel, Michael E., Cozzolino, Daniel, Olarte Mantilla, Sandra Milena and Sivakumaran, Dharini (2023). Phenolic compounds of Burdekin plum during fruit leather processing and storage. Queensland Annual Chemistry Symposium (QACS), Brisbane, QLD, Australia, 24 November 2023.

Phenolic compounds of Burdekin plum during fruit leather processing and storage

2023

Journal Article

Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts

Cozzolino, D., Zhang, S., Khole, A., Yang, Z., Ingle, P., Beya, M., van Jaarsveld, P. F., Bureš, D. and Hoffman, L. C. (2023). Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts. Journal of Food Science and Technology, 61 (5), 950-957. doi: 10.1007/s13197-023-05890-1

Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts

2023

Journal Article

The use of a droplet collar accessory attached to a portable near infrared instrument to identify methanol contamination in whisky

Kolobaric, Adam, Orrell-Trigg, Rebecca, Orloff, Seth, Fraser, Vanessa, Chapman, James and Cozzolino, Daniel (2023). The use of a droplet collar accessory attached to a portable near infrared instrument to identify methanol contamination in whisky. Sensors, 23 (21) 8969, 1-10. doi: 10.3390/s23218969

The use of a droplet collar accessory attached to a portable near infrared instrument to identify methanol contamination in whisky

2023

Conference Publication

Mid-infrared spectroscopy can identify changes in plasma profiles associated with dietary interventions: Untargeted omic screening

Cozzolino, D., Navarro, M., Taylor, S., Ibanez, C., Pascal, N., Tedo, G., Müller, M. and Roura, E. (2023). Mid-infrared spectroscopy can identify changes in plasma profiles associated with dietary interventions: Untargeted omic screening. Manipulating Pig Production XIX, Brisbane, QLD Australia, 13-16 November 2023. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.anscip.2023.09.074

Mid-infrared spectroscopy can identify changes in plasma profiles associated with dietary interventions: Untargeted omic screening

2023

Journal Article

Determination of glucosinolates in broccoli (Brassica oleracea var. italica) by combining mid‐infrared (MIR) spectroscopy with chemometrics

Ali Redha, Ali, Langston, Faye, Nash, Geoffrey R., Bows, John R., Torquati, Luciana, Gidley, Michael J. and Cozzolino, Daniel (2023). Determination of glucosinolates in broccoli (Brassica oleracea var. italica) by combining mid‐infrared (MIR) spectroscopy with chemometrics. International Journal of Food Science and Technology, 58 (11), 5679-5688. doi: 10.1111/ijfs.16664

Determination of glucosinolates in broccoli (Brassica oleracea var. italica) by combining mid‐infrared (MIR) spectroscopy with chemometrics

Funding

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 - 2026
    Natural compounds and essential oils to enhance the productivity of poultry and promote food safety
    Acacia Natural Science Pty Ltd
    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 - 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

  • 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
  • 2022 - 2025
    APL Industry Placement Program
    Australasian Pork Research Institute Ltd
    Open grant
  • 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

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

Completed supervision

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

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au