Associate Professor Daniel Cozzolino
Associate Professor

Daniel Cozzolino

Email: 
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

447 works between 1996 and 2025
All (447) Journal Article (381) Book Chapter (37) Conference Publication (28) Book (1)

221 - 240 of 447 works

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?

2018

Journal Article

There is gold in them hills: predicting potential acid mine drainage events through the use of chemometrics

Cozzolino, Daniel, Chandra, Shaneel, Roberts, Jessica, Power, Aoife, Rajapaksha, Piumie, Ball, Nicole, Gordon, Russell and Chapman, James (2018). There is gold in them hills: predicting potential acid mine drainage events through the use of chemometrics. Science of The Total Environment, 619-620, 1464-1472. doi: 10.1016/j.scitotenv.2017.11.063

There is gold in them hills: predicting potential acid mine drainage events through the use of chemometrics

2018

Journal Article

A short update on the advantages, applications and limitations of hyperspectral and chemical imaging in food authentication

Roberts, Jessica, Power, Aoife, Chapman, James, Chandra, Shaneel and Cozzolino, Daniel (2018). A short update on the advantages, applications and limitations of hyperspectral and chemical imaging in food authentication. Applied Sciences, 8 (4) 505, 505. doi: 10.3390/app8040505

A short update on the advantages, applications and limitations of hyperspectral and chemical imaging in food authentication

2018

Journal Article

The use of UV-Vis spectroscopy in bioprocess and fermentation monitoring

Roberts, Jessica, Power, Aoife, Chapman, James, Chandra, Shaneel and Cozzolino, Daniel (2018). The use of UV-Vis spectroscopy in bioprocess and fermentation monitoring. Fermentation, 4 (1) 18, 18. doi: 10.3390/fermentation4010018

The use of UV-Vis spectroscopy in bioprocess and fermentation monitoring

2018

Book Chapter

Food adulteration

Cozzolino, Daniel (2018). Food adulteration. Spectroscopic methods in food analysis. (pp. 353-361) Boca Raton, FL United States: CRC Press.

Food adulteration

2018

Book Chapter

Spectroscopy analysis of beverages

Cozzolino, Daniel and Roberts, Jessica (2018). Spectroscopy analysis of beverages. Spectroscopic methods in food analysis. (pp. 429-434) edited by Adriana S. Franca and Leo M.L. Nollet. Boca Raton, FL, United States: CRC Press.

Spectroscopy analysis of beverages

2018

Journal Article

Advances in meat spoilage detection: A short focus on rapid methods and technologies

Fletcher, Bridget, Mullane, Keegan, Platts, Phoebe, Todd, Ethan, Power, Aoife, Roberts, Jessica, Chapman, James, Cozzolino, Daniel and Chandra, Shaneel (2018). Advances in meat spoilage detection: A short focus on rapid methods and technologies. CyTA Journal of Food, 16 (1), 1037-1044. doi: 10.1080/19476337.2018.1525432

Advances in meat spoilage detection: A short focus on rapid methods and technologies

2018

Book Chapter

Fourier transform spectroscopy

Cozzolino, Daniel (2018). Fourier transform spectroscopy. Spectroscopic methods in food analysis. (pp. 103-109) edited by Adriana S. Franca and Leo M.L. Nollet. Boca Raton, FL United States: CRC Press. doi: 10.1201/9781315152769-4

Fourier transform spectroscopy

2018

Book Chapter

Vibrational spectroscopy methods for agro-food product analysis

Roberts, Jessica J., Power, Aoife, Chapman, James, Chandra, Shaneel and Cozzolino, Daniel (2018). Vibrational spectroscopy methods for agro-food product analysis. Comprehensive analytical chemistry: Vibrational spectroscopy for plant varieties and cultivars characterization. (pp. 51-68) edited by João Lopes and Clara Sousa. Amsterdam, Netherlands: Elsevier. doi: 10.1016/bs.coac.2018.03.002

Vibrational spectroscopy methods for agro-food product analysis

2017

Journal Article

Analysis of Australian beers using fluorescence spectroscopy

Gordon, Russell , Cozzolino, Daniel , Chandra, Shaneel, Power, Aoife , Roberts, Jessica J. and Chapman, James (2017). Analysis of Australian beers using fluorescence spectroscopy. Beverages, 3 (4) 57, 57. doi: 10.3390/beverages3040057

Analysis of Australian beers using fluorescence spectroscopy

2017

Journal Article

The application of state-of-the-art analytic tools (biosensors and spectroscopy) in beverage and food fermentation process monitoring

Chandra, Shaneel, Chapman, James, Power, Aoife, Roberts, Jess and Cozzolino, Daniel (2017). The application of state-of-the-art analytic tools (biosensors and spectroscopy) in beverage and food fermentation process monitoring. Fermentation, 3 (4) Y, 50. doi: 10.3390/fermentation3040050

The application of state-of-the-art analytic tools (biosensors and spectroscopy) in beverage and food fermentation process monitoring

2017

Journal Article

The role of near-infrared sensors to measure water relationships in crops and plants

Cozzolino, Daniel (2017). The role of near-infrared sensors to measure water relationships in crops and plants. Applied Spectroscopy Reviews, 52 (10), 837-849. doi: 10.1080/05704928.2017.1331446

The role of near-infrared sensors to measure water relationships in crops and plants

2017

Journal Article

Identification of beef cattle categories (cows and calves) and sex based on the near infrared reflectance spectroscopy of their tail hair

O'Neill, Christopher J., Roberts, Jessica J. and Cozzolino, Daniel (2017). Identification of beef cattle categories (cows and calves) and sex based on the near infrared reflectance spectroscopy of their tail hair. Biosystems Engineering, 162, 140-146. doi: 10.1016/j.biosystemseng.2017.07.007

Identification of beef cattle categories (cows and calves) and sex based on the near infrared reflectance spectroscopy of their tail hair

2017

Journal Article

Feasibility of discriminating powdery mildew-affected grape berries at harvest using mid-infrared attenuated total reflection spectroscopy and fatty acid profiling

Petrovic, T., Perera, D., Cozzolino, D., Kravchuk, O., Zanker, T., Bennett, J. and Scott, E. S. (2017). Feasibility of discriminating powdery mildew-affected grape berries at harvest using mid-infrared attenuated total reflection spectroscopy and fatty acid profiling. Australian Journal of Grape and Wine Research, 23 (3), 415-425. doi: 10.1111/ajgw.12291

Feasibility of discriminating powdery mildew-affected grape berries at harvest using mid-infrared attenuated total reflection spectroscopy and fatty acid profiling

2017

Journal Article

A feasibility study on the potential use of near infrared reflectance spectroscopy to analyze meat in live animals: discrimination of muscles

Roberts, J. J., Motin, J. Ch., Swain, D. and Cozzolino, D. (2017). A feasibility study on the potential use of near infrared reflectance spectroscopy to analyze meat in live animals: discrimination of muscles. Journal of Spectroscopy, 2017 3948708, 1-7. doi: 10.1155/2017/3948708

A feasibility study on the potential use of near infrared reflectance spectroscopy to analyze meat in live animals: discrimination of muscles

2017

Journal Article

Origin and regionality of wines—the role of molecular spectroscopy

Chandra, S., Chapman, J., Power, A., Roberts, J. and Cozzolino, D. (2017). Origin and regionality of wines—the role of molecular spectroscopy. Food Analytical Methods, 10 (12), 3947-3955. doi: 10.1007/s12161-017-0968-1

Origin and regionality of wines—the role of molecular spectroscopy

2017

Journal Article

The effect of path length on the measurement accuracies of wine chemical parameters by UV, visible, and near-infrared spectroscopy

Molla, Nevse, Bakardzhiyski, Ivan, Manolova, Yana, Bambalov, Valentin, Cozzolino, Daniel and Antonov, Liudmil (2017). The effect of path length on the measurement accuracies of wine chemical parameters by UV, visible, and near-infrared spectroscopy. Food Analytical Methods, 10 (5), 1156-1163. doi: 10.1007/s12161-016-0735-8

The effect of path length on the measurement accuracies of wine chemical parameters by UV, visible, and near-infrared spectroscopy

2017

Journal Article

Biochar built soil carbon over a decade by stabilizing rhizodeposits

Han Weng, Zhe, Van Zwieten, Lukas, Singh, Bhupinder Pal, Tavakkoli, Ehsan, Joseph, Stephen, Macdonald, Lynne M., Rose, Terry J., Rose, Michael T., Kimber, Stephen W. L., Morris, Stephen, Cozzolino, Daniel, Araujo, Joyce R., Archanjo, Braulio S. and Cowie, Annette (2017). Biochar built soil carbon over a decade by stabilizing rhizodeposits. Nature Climate Change, 7 (5), 371-376. doi: 10.1038/nclimate3276

Biochar built soil carbon over a decade by stabilizing rhizodeposits

2017

Journal Article

Rapid measurement of total non-structural carbohydrate concentration in grapevine trunk and leaf tissues using near infrared spectroscopy

De Bei, R., Fuentes, S., Sullivan, W., Edwards, E. J., Tyerman, S. and Cozzolino, D. (2017). Rapid measurement of total non-structural carbohydrate concentration in grapevine trunk and leaf tissues using near infrared spectroscopy. Computers and Electronics in Agriculture, 136, 176-183. doi: 10.1016/j.compag.2017.03.007

Rapid measurement of total non-structural carbohydrate concentration in grapevine trunk and leaf tissues using near infrared spectroscopy

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

Before you email them, read our advice on how to contact a supervisor.

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

Need help?

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

communications@uq.edu.au