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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

447 works between 1996 and 2025

241 - 260 of 447 works

2017

Journal Article

The use of qualitative analysis in food research and technology: Considerations and reflections from an applied point of view

Doyle, N., Swain, D., Roberts, J. J. and Cozzolino, D. (2017). The use of qualitative analysis in food research and technology: Considerations and reflections from an applied point of view. Food Analytical Methods, 10 (4), 964-969. doi: 10.1007/s12161-016-0654-8

The use of qualitative analysis in food research and technology: Considerations and reflections from an applied point of view

2017

Journal Article

Dissecting the genetic basis for seed coat mucilage heteroxylan biosynthesis in Plantago ovata using gamma irradiation and infrared spectroscopy

Tucker, Matthew R., Ma, Chao, Phan, Jana, Neumann, Kylie, Shirley, Neil J., Hahn, Michael G., Cozzolino, Daniel and Burton, Rachel A. (2017). Dissecting the genetic basis for seed coat mucilage heteroxylan biosynthesis in Plantago ovata using gamma irradiation and infrared spectroscopy. Frontiers in Plant Science, 8 326. doi: 10.3389/fpls.2017.00326

Dissecting the genetic basis for seed coat mucilage heteroxylan biosynthesis in Plantago ovata using gamma irradiation and infrared spectroscopy

2017

Journal Article

Classification and authentication of barley (Hordeum vulgare) malt varieties: Combining attenuated total reflectance mid-infrared spectroscopy with chemometrics

Porker, K., Zerner, M. and Cozzolino, D. (2017). Classification and authentication of barley (Hordeum vulgare) malt varieties: Combining attenuated total reflectance mid-infrared spectroscopy with chemometrics. Food Analytical Methods, 10 (3), 675-682. doi: 10.1007/s12161-016-0627-y

Classification and authentication of barley (Hordeum vulgare) malt varieties: Combining attenuated total reflectance mid-infrared spectroscopy with chemometrics

2017

Journal Article

Exploring the effects of geographical origin on the chemical composition and quality grading of Vitis vinifera L. cv. Chardonnay grapes

Gambetta, Joanna, Cozzolino, Daniel, Bastian, Susan and Jeffery, David (2017). Exploring the effects of geographical origin on the chemical composition and quality grading of Vitis vinifera L. cv. Chardonnay grapes. Molecules, 22 (2) 218, 218. doi: 10.3390/molecules22020218

Exploring the effects of geographical origin on the chemical composition and quality grading of Vitis vinifera L. cv. Chardonnay grapes

2017

Journal Article

A survey of total and dissolved organic carbon in alkaline soils of southern Australia

McDonald, G. K., Tavakkoli, E., Cozzolino, D., Banas, K., Derrien, M. and Rengasamy, P. (2017). A survey of total and dissolved organic carbon in alkaline soils of southern Australia. Soil Research, 55 (7), 617-629. doi: 10.1071/SR16237

A survey of total and dissolved organic carbon in alkaline soils of southern Australia

2017

Book Chapter

Vibrational Spectroscopy

Cozzolino, Daniel (2017). Vibrational Spectroscopy. Food authentication: management, analysis and regulation. (pp. 278-297) edited by Contantinos A. Georgiou and Georgios P. Danezis. Chichester, West Sussex, United Kingdom: John Wiley & Sons.

Vibrational Spectroscopy

2017

Journal Article

Relating expert quality ratings of Australian chardonnay wines to volatile composition and production method

Gambetta, Joanna M., Schmidtke, Leigh M., Wang, Jiaming, Cozzolino, Daniel, Bastian, Susan E. P. and Jeffery, David W. (2017). Relating expert quality ratings of Australian chardonnay wines to volatile composition and production method. American Journal of Enology and Viticulture, 68 (1), 39-48. doi: 10.5344/ajev.2016.16058

Relating expert quality ratings of Australian chardonnay wines to volatile composition and production method

2016

Journal Article

Influence of sample storage on the composition of carbonated beverages by MIR spectroscopy

Pearce, Karma, Culbert, Julie, Cass, Diane, Cozzolino, Daniel and Wilkinson, Kerry (2016). Influence of sample storage on the composition of carbonated beverages by MIR spectroscopy. Beverages, 2 (4) 26, 26. doi: 10.3390/beverages2040026

Influence of sample storage on the composition of carbonated beverages by MIR spectroscopy

2016

Journal Article

An overview on the application of chemometrics in food science and technology — An approach to quantitative data analysis

Roberts, J. J. and Cozzolino, D. (2016). An overview on the application of chemometrics in food science and technology — An approach to quantitative data analysis. Food Analytical Methods, 9 (12), 3258-3267. doi: 10.1007/s12161-016-0574-7

An overview on the application of chemometrics in food science and technology — An approach to quantitative data analysis

2016

Journal Article

Metabolomics in grape and wine: Definition, current status and future prospects

Cozzolino, D. (2016). Metabolomics in grape and wine: Definition, current status and future prospects. Food Analytical Methods, 9 (11), 2986-2997. doi: 10.1007/s12161-016-0502-x

Metabolomics in grape and wine: Definition, current status and future prospects

2016

Journal Article

Prediction of phenolic composition of shiraz wines using attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy

Ristic, Renata, Cozzolino, Daniel, Jeffery, David W., Gambetta, Joanna M. and Bastian, Susan E. P. (2016). Prediction of phenolic composition of shiraz wines using attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy. American Journal of Enology and Viticulture, 67 (4), 460-465. doi: 10.5344/ajev.2016.16030

Prediction of phenolic composition of shiraz wines using attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy

2016

Journal Article

Wet or dry? The effect of sample characteristics on the determination of soil properties by near infrared spectroscopy

Roberts, J. J. and Cozzolino, D. (2016). Wet or dry? The effect of sample characteristics on the determination of soil properties by near infrared spectroscopy. TrAC - Trends in Analytical Chemistry, 83, 25-30. doi: 10.1016/j.trac.2016.08.002

Wet or dry? The effect of sample characteristics on the determination of soil properties by near infrared spectroscopy

2016

Journal Article

Towards the creation of a wine quality prediction index: Correlation of Chardonnay juice and wine compositions from different regions and quality levels

Gambetta, Joanna M., Cozzolino, Daniel, Bastian, Susan E. P. and Jeffery, David W. (2016). Towards the creation of a wine quality prediction index: Correlation of Chardonnay juice and wine compositions from different regions and quality levels. Food Analytical Methods, 9 (10), 2842-2855. doi: 10.1007/s12161-016-0467-9

Towards the creation of a wine quality prediction index: Correlation of Chardonnay juice and wine compositions from different regions and quality levels

2016

Journal Article

The use of the rapid visco analyser (RVA) to sequentially study starch properties in commercial malting barley (Hordeum vulgare)

Cozzolino, D., Degner, S. and Eglinton, J. (2016). The use of the rapid visco analyser (RVA) to sequentially study starch properties in commercial malting barley (Hordeum vulgare). Journal of Food Measurement and Characterization, 10 (3), 474-479. doi: 10.1007/s11694-016-9326-z

The use of the rapid visco analyser (RVA) to sequentially study starch properties in commercial malting barley (Hordeum vulgare)

2016

Journal Article

Editorial overview: Innovation in food science — food fraud

Cozzolino, Daniel (2016). Editorial overview: Innovation in food science — food fraud. Current Opinion in Food Science, 10, iv-v. doi: 10.1016/j.cofs.2016.11.001

Editorial overview: Innovation in food science — food fraud

2016

Journal Article

Truncation of grain filling in wheat (Triticum aestivum) triggered by brief heat stress during early grain filling: Association with senescence responses and reductions in stem reserves

Shirdelmoghanloo, Hamid, Cozzolino, Daniel, Lohraseb, Iman and Collins, Nicholas C. (2016). Truncation of grain filling in wheat (Triticum aestivum) triggered by brief heat stress during early grain filling: Association with senescence responses and reductions in stem reserves. Functional Plant Biology, 43 (10), 919-930. doi: 10.1071/FP15384

Truncation of grain filling in wheat (Triticum aestivum) triggered by brief heat stress during early grain filling: Association with senescence responses and reductions in stem reserves

2016

Journal Article

Understanding consumer preferences for Australian sparkling wine vs. French champagne

Culbert, Julie, Verdonk, Naomi, Ristic, Renata, Olarte Mantilla, Sandra, Lane, Melissa, Pearce, Karma, Cozzolino, Daniel and Wilkinson, Kerry (2016). Understanding consumer preferences for Australian sparkling wine vs. French champagne. Beverages, 2 (3) 19, 19.1-19.12. doi: 10.3390/beverages2030019

Understanding consumer preferences for Australian sparkling wine vs. French champagne

2016

Journal Article

Relationships between fructans content and barley malt quality

Cozzolino, D., Degner, S. and Eglinton, J. (2016). Relationships between fructans content and barley malt quality. Food Analytical Methods, 9 (7), 2010-2015. doi: 10.1007/s12161-015-0386-1

Relationships between fructans content and barley malt quality

2016

Journal Article

The use of the rapid visco analyser (RVA) in breeding and selection of cereals

Cozzolino, D. (2016). The use of the rapid visco analyser (RVA) in breeding and selection of cereals. Journal of Cereal Science, 70, 282-290. doi: 10.1016/j.jcs.2016.07.003

The use of the rapid visco analyser (RVA) in breeding and selection of cereals

2016

Journal Article

Applications and developments on the use of vibrational spectroscopy imaging for the analysis, monitoring and characterisation of crops and plants

Cozzolino, Daniel and Roberts, Jessica (2016). Applications and developments on the use of vibrational spectroscopy imaging for the analysis, monitoring and characterisation of crops and plants. Molecules, 21 (6) 755, 755. doi: 10.3390/molecules21060755

Applications and developments on the use of vibrational spectroscopy imaging for the analysis, monitoring and characterisation of crops and plants

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 - 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

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