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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

465 works between 1996 and 2025

221 - 240 of 465 works

2019

Journal Article

Influence of the scanning temperature on the classification of whisky samples analysed by UV-VIS spectroscopy

Joshi, Ishita, Truong, Vi Khanh, Elbourne, Aaron, Chapman, James and Cozzolino, Daniel (2019). Influence of the scanning temperature on the classification of whisky samples analysed by UV-VIS spectroscopy. Applied Sciences, 9 (16) 3254, 3254. doi: 10.3390/app9163254

Influence of the scanning temperature on the classification of whisky samples analysed by UV-VIS spectroscopy

2019

Journal Article

Spectroscopic approaches for rapid beer and wine analysis

Chapman, James, Gangadoo, Sheeana, Truong, Vi Khanh and Cozzolino, Daniel (2019). Spectroscopic approaches for rapid beer and wine analysis. Current Opinion in Food Science, 28, 67-73. doi: 10.1016/j.cofs.2019.09.001

Spectroscopic approaches for rapid beer and wine analysis

2019

Journal Article

Interpreting and reporting principal component analysis in food science analysis and beyond

Cozzolino, D., Power, A. and Chapman, J. (2019). Interpreting and reporting principal component analysis in food science analysis and beyond. Food Analytical Methods, 12 (11), 2469-2473. doi: 10.1007/s12161-019-01605-5

Interpreting and reporting principal component analysis in food science analysis and beyond

2019

Journal Article

Lighting the ivory track: are near-infrared and chemometrics up to the job? A proof of concept

Power, Aoife, Ingleby, Sandy, Chapman, James and Cozzolino, Daniel (2019). Lighting the ivory track: are near-infrared and chemometrics up to the job? A proof of concept. Applied Spectroscopy, 73 (7), 816-822. doi: 10.1177/0003702819837297

Lighting the ivory track: are near-infrared and chemometrics up to the job? A proof of concept

2019

Journal Article

Bacterial-nanostructure interactions: The role of cell elasticity and adhesion forces

Elbourne, Aaron, Chapman, James, Gelmi, Amy, Cozzolino, Daniel, Crawford, Russell J. and Truong, Vi Khanh (2019). Bacterial-nanostructure interactions: The role of cell elasticity and adhesion forces. Journal of Colloid and Interface Science, 546, 192-210. doi: 10.1016/j.jcis.2019.03.050

Bacterial-nanostructure interactions: The role of cell elasticity and adhesion forces

2019

Journal Article

From academia to reality check: a theoretical framework on the use of chemometric in food sciences

Truong, Vi Khanh, Dupont, Madeleine, Elbourne, Aaron, Gangadoo, Sheeana, Rajapaksha Pathirannahalage, Piumie, Cheeseman, Samuel, Chapman, James and Cozzolino, Daniel (2019). From academia to reality check: a theoretical framework on the use of chemometric in food sciences. Foods, 8 (5) 8050164, 164. doi: 10.3390/foods8050164

From academia to reality check: a theoretical framework on the use of chemometric in food sciences

2019

Journal Article

Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: a review

Bureau, Sylvie, Cozzolino, Daniel and Clark, Christopher J. (2019). Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: a review. Postharvest Biology and Technology, 148, 1-14. doi: 10.1016/j.postharvbio.2018.10.003

Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: a review

2019

Journal Article

A review of methods for the detection of pathogenic microorganisms

Rajapaksha, P., Elbourne, A., Gangadoo, S., Brown, R., Cozzolino, D. and Chapman, J. (2019). A review of methods for the detection of pathogenic microorganisms. The Analyst, 144 (2), 396-411. doi: 10.1039/c8an01488d

A review of methods for the detection of pathogenic microorganisms

2019

Journal Article

Mid-infrared spectroscopy coupled with chemometrics to identify spectral variability in Australian barley samples from different production regions

Gordon, R., Chapman, J., Power, A., Chandra, S., Roberts, J. and Cozzolino, D. (2019). Mid-infrared spectroscopy coupled with chemometrics to identify spectral variability in Australian barley samples from different production regions. Journal of Cereal Science, 85, 41-47. doi: 10.1016/j.jcs.2018.11.004

Mid-infrared spectroscopy coupled with chemometrics to identify spectral variability in Australian barley samples from different production regions

2019

Conference Publication

Application of FTIR-ATR spectrocopy to detect salinity response in Beauty leaf tree (calophyllum inophyllam L)

Westworth, Saori, Ashwath, Nanjappa and Cozzolino, Daniel (2019). Application of FTIR-ATR spectrocopy to detect salinity response in Beauty leaf tree (calophyllum inophyllam L). International Conference on Energy and Power, Sydney, Australia, 13–15 December 2018. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.egypro.2019.02.182

Application of FTIR-ATR spectrocopy to detect salinity response in Beauty leaf tree (calophyllum inophyllam L)

2019

Book Chapter

Ultraviolet-visible spectroscopy for food quality analysis

Power, A. C., Chapman, J., Chandra, S. and Cozzolino, D. (2019). Ultraviolet-visible spectroscopy for food quality analysis. Evaluation technologies for food quality. (pp. 91-104) edited by Jian Zhong and Xichang Wang. Duxford, United Kingdom: Woodhead Publishing. doi: 10.1016/B978-0-12-814217-2.00006-8

Ultraviolet-visible spectroscopy for food quality analysis

2018

Journal Article

Near infrared spectroscopy, the skeleton key for bone identification

Power, Aoife C., Chapman, James and Cozzolino, Daniel (2018). Near infrared spectroscopy, the skeleton key for bone identification. Spectroscopy Europe, 30 (6), 19-21.

Near infrared spectroscopy, the skeleton key for bone identification

2018

Journal Article

The use of vibrational spectroscopy in the geographic characterization of human teeth: a systematic review

Pretorius, N.E., Power, A., Tennant, M., Forrest, A. and Cozzolino, D. (2018). The use of vibrational spectroscopy in the geographic characterization of human teeth: a systematic review. Applied Spectroscopy Reviews, 55 (2), 1-23. doi: 10.1080/05704928.2018.1539006

The use of vibrational spectroscopy in the geographic characterization of human teeth: a systematic review

2018

Conference Publication

Feasibility study on the use of Near Infrared spectroscopy to measure water status of almond trees

De Bei, R., Fuentes, S., Wirthensohn, M. G., Cozzolino, D. and Tyerman, S. D. (2018). Feasibility study on the use of Near Infrared spectroscopy to measure water status of almond trees. International Society for Horticultural Science. doi: 10.17660/ActaHortic.2018.1219.14

Feasibility study on the use of Near Infrared spectroscopy to measure water status of almond trees

2018

Journal Article

A review on the source of lipids and their interactions during beer fermentation that affect beer quality

Gordon, Russell, Power, Aoife, Chapman, James, Chandra, Shaneel and Cozzolino, Daniel (2018). A review on the source of lipids and their interactions during beer fermentation that affect beer quality. Fermentation, 4 (89) 89, 89. doi: 10.3390/fermentation4040089

A review on the source of lipids and their interactions during beer fermentation that affect beer quality

2018

Journal Article

Meat consumption and green gas emissions: a chemometrics analysis

Chapman, J., Power, A., Chandra, S. and Cozzolino, D. (2018). Meat consumption and green gas emissions: a chemometrics analysis. Food Analytical Methods, 12 (2), 469-474. doi: 10.1007/s12161-018-1378-8

Meat consumption and green gas emissions: a chemometrics analysis

2018

Journal Article

Unfrazzled by fizziness: identification of beers using attenuated total reflectance mid-infrared spectroscopy and multivariate analysis

Gordon, Russell, Chapman, James, Power, Aoife, Chandra, Shaneel, Roberts, Jessica and Cozzolino, Daniel (2018). Unfrazzled by fizziness: identification of beers using attenuated total reflectance mid-infrared spectroscopy and multivariate analysis. Food Analytical Methods, 11 (9), 2360-2367. doi: 10.1007/s12161-018-1225-y

Unfrazzled by fizziness: identification of beers using attenuated total reflectance mid-infrared spectroscopy and multivariate analysis

2018

Journal Article

Illuminating the flesh of bone identification – an application of near infrared spectroscopy

Power, A. C., Chapman, J., Chandra, S., Roberts, J. J. and Cozzolino, D. (2018). Illuminating the flesh of bone identification – an application of near infrared spectroscopy. Vibrational Spectroscopy, 98, 64-68. doi: 10.1016/j.vibspec.2018.07.011

Illuminating the flesh of bone identification – an application of near infrared spectroscopy

2018

Journal Article

Comparison of ultrasound-assisted extraction with static extraction as pre-processing method before gas chromatography analysis of cereal lipids

Gordon, R., Chapman, J., Power, A., Chandra, S., Roberts, J. and Cozzolino, D. (2018). Comparison of ultrasound-assisted extraction with static extraction as pre-processing method before gas chromatography analysis of cereal lipids. Food Analytical Methods, 11 (11), 3276-3281. doi: 10.1007/s12161-018-1304-0

Comparison of ultrasound-assisted extraction with static extraction as pre-processing method before gas chromatography analysis of cereal lipids

2018

Journal Article

Handling Complexity in Animal and Plant Science Research—From Single to Functional Traits: Are We There Yet?

Roberts, Jessica, Power, Aoife, Chandra, Shaneel, Chapman, James and Cozzolino, Daniel (2018). Handling Complexity in Animal and Plant Science Research—From Single to Functional Traits: Are We There Yet?. High-Throughput, 7 (2) 16, 16. doi: 10.3390/ht7020016

Handling Complexity in Animal and Plant Science Research—From Single to Functional Traits: Are We There Yet?

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 - 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 - 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 - 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

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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