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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

301 - 320 of 447 works

2014

Journal Article

The influence of starch pasting properties and grain protein content on water uptake in barley

Cozzolino, D., Roumeliotis, S. and Eglinton, J. K. (2014). The influence of starch pasting properties and grain protein content on water uptake in barley. Journal of the Institute of Brewing, 120 (1), 38-44. doi: 10.1002/jib.109

The influence of starch pasting properties and grain protein content on water uptake in barley

2014

Book Chapter

Overview of infrared spectroscopy: Hardware, chemometrics and software

Cozzolino, D. (2014). Overview of infrared spectroscopy: Hardware, chemometrics and software. Infrared Spectroscopy: Theory, Developments and Applications. (pp. 1-14) New York, NY, United States: Nova Science Publishers.

Overview of infrared spectroscopy: Hardware, chemometrics and software

2014

Book

Infrared spectroscopy: Theory, developments and applications

Daniel Cozzolino ed. (2014). Infrared spectroscopy: Theory, developments and applications. Chemistry research and applications, New York, NY, United States: Nova Science Publishers.

Infrared spectroscopy: Theory, developments and applications

2014

Journal Article

Feasibility study on the use of attenuated total reflectance mid-infrared spectroscopy for the analysis of malt quality parameters in wort

Cozzolino, D., Schultz, D., Allder, K., Eglinton, J. and Roumeliotis, S. (2014). Feasibility study on the use of attenuated total reflectance mid-infrared spectroscopy for the analysis of malt quality parameters in wort. Journal of the Institute of Brewing, 120 (4), 385-389. doi: 10.1002/jib.173

Feasibility study on the use of attenuated total reflectance mid-infrared spectroscopy for the analysis of malt quality parameters in wort

2014

Book Chapter

Grain and endosperm biophysical characteristics of barley malting

Cozzolino, D., Roumeliotis S., S. and Eglinton J., J. (2014). Grain and endosperm biophysical characteristics of barley malting. Barley: physical properties, genetic factors and environmental impacts on growth. (pp. 107-124) Hauppauge, NY, United States: Nova Science Publishers.

Grain and endosperm biophysical characteristics of barley malting

2014

Journal Article

Feasibility study on the use of attenuated total reflectance MIR spectroscopy to measure the fructan content in barley

Cozzolino, D., Roumeliotis, S. and Eglinton, J. (2014). Feasibility study on the use of attenuated total reflectance MIR spectroscopy to measure the fructan content in barley. Analytical Methods, 6 (19), 7710-7715. doi: 10.1039/c4ay01560f

Feasibility study on the use of attenuated total reflectance MIR spectroscopy to measure the fructan content in barley

2013

Book Chapter

The use of correlation, association and regression to analyse processes and products

Cozzolino, Daniel (2013). The use of correlation, association and regression to analyse processes and products. Mathematical and Statistical Methods in Food Science and Technology. (pp. 19-30) Chichester, West Sussex, United Kingdom: John Wiley & Sons. doi: 10.1002/9781118434635.ch02

The use of correlation, association and regression to analyse processes and products

2013

Journal Article

Feasibility study on the use of attenuated total reflectance infrared spectroscopy as high throughput screening tool to phenotype single barley seeds (Hordeum vulgare L.)

Cozzolino, D., Roumeliotis, S. and Eglinton, J. (2013). Feasibility study on the use of attenuated total reflectance infrared spectroscopy as high throughput screening tool to phenotype single barley seeds (Hordeum vulgare L.). Biosystems Engineering, 116 (4), 379-384. doi: 10.1016/j.biosystemseng.2013.08.007

Feasibility study on the use of attenuated total reflectance infrared spectroscopy as high throughput screening tool to phenotype single barley seeds (Hordeum vulgare L.)

2013

Journal Article

Exploring the use of near infrared (NIR) reflectance spectroscopy to predict starch pasting properties in whole grain barley

Cozzolino, D., Roumeliotis, S. and Eglinton, J. (2013). Exploring the use of near infrared (NIR) reflectance spectroscopy to predict starch pasting properties in whole grain barley. Food Biophysics, 8 (4), 256-261. doi: 10.1007/s11483-013-9298-z

Exploring the use of near infrared (NIR) reflectance spectroscopy to predict starch pasting properties in whole grain barley

2013

Journal Article

Relationships between swelling power, water solubility and near-infrared spectra in whole grain barley: a feasibility study

Cozzolino, D., Roumeliotis, S. and Eglinton, J. (2013). Relationships between swelling power, water solubility and near-infrared spectra in whole grain barley: a feasibility study. Food and Bioprocess Technology, 6 (10), 2732-2738. doi: 10.1007/s11947-012-0948-9

Relationships between swelling power, water solubility and near-infrared spectra in whole grain barley: a feasibility study

2013

Journal Article

Synchronous two-dimensional MIR correlation spectroscopy (2D-COS) as a novel method for screening smoke tainted wine

Fudge, Anthea L., Wilkinson, Kerry L., Ristic, Renata and Cozzolino, Daniel (2013). Synchronous two-dimensional MIR correlation spectroscopy (2D-COS) as a novel method for screening smoke tainted wine. Food Chemistry, 139 (1-4), 115-119. doi: 10.1016/j.foodchem.2013.01.090

Synchronous two-dimensional MIR correlation spectroscopy (2D-COS) as a novel method for screening smoke tainted wine

2013

Journal Article

Influence of yeast strain on Shiraz wine quality indicators

Holt, Helen, Cozzolino, Daniel, McCarthy, Jane, Abrahamse, Caroline, Holt, Sylvester, Solomon, Mark, Smith, Paul, Chambers, Paul J. and Curtin, Chris (2013). Influence of yeast strain on Shiraz wine quality indicators. International Journal of Food Microbiology, 165 (3), 302-311. doi: 10.1016/j.ijfoodmicro.2013.05.006

Influence of yeast strain on Shiraz wine quality indicators

2013

Journal Article

The use of rapid instrumental methods to assess freshness of half shell Pacific oysters, Crassostrea gigas: A feasibility study

Madigan, Thomas, Kiermeier, Andreas, Carragher, John, De Barros Lopes, Miguel and Cozzolino, Daniel (2013). The use of rapid instrumental methods to assess freshness of half shell Pacific oysters, Crassostrea gigas: A feasibility study. Innovative Food Science and Emerging Technologies, 19, 204-209. doi: 10.1016/j.ifset.2013.04.005

The use of rapid instrumental methods to assess freshness of half shell Pacific oysters, Crassostrea gigas: A feasibility study

2013

Journal Article

Prediction of starch pasting properties in barley flour using ATR-MIR spectroscopy

Cozzolino, D., Roumeliotis, S. and Eglinton, J. (2013). Prediction of starch pasting properties in barley flour using ATR-MIR spectroscopy. Carbohydrate Polymers, 95 (1), 509-514. doi: 10.1016/j.carbpol.2013.03.001

Prediction of starch pasting properties in barley flour using ATR-MIR spectroscopy

2013

Journal Article

Relationships between starch pasting properties, free fatty acids and amylose content in barley

Cozzolino, D., Roumeliotis, S. and Eglinton, J. (2013). Relationships between starch pasting properties, free fatty acids and amylose content in barley. Food Research International, 51 (2), 444-449. doi: 10.1016/j.foodres.2013.01.030

Relationships between starch pasting properties, free fatty acids and amylose content in barley

2013

Journal Article

In situ measurement of soil chemical composition by near-infrared spectroscopy: a tool toward sustainable vineyard management

Cozzolino, D., Cynkar, W. U., Dambergs, R. G., Shah, N. and Smith, P. (2013). In situ measurement of soil chemical composition by near-infrared spectroscopy: a tool toward sustainable vineyard management. Communications in Soil Science and Plant Analysis, 44 (10), 1610-1619. doi: 10.1080/00103624.2013.768263

In situ measurement of soil chemical composition by near-infrared spectroscopy: a tool toward sustainable vineyard management

2013

Journal Article

Using the power of C-13 NMR to interpret infrared spectra of soil organic matter: a two-dimensional correlation spectroscopy approach

Forouzangohar, Mohsen, Cozzolino, Daniel, Smernik, Ronald J., Baldock, Jeffrey A., Forrester, Sean T., Chittleborough, David J. and Kookana, Rai S. (2013). Using the power of C-13 NMR to interpret infrared spectra of soil organic matter: a two-dimensional correlation spectroscopy approach. Vibrational Spectroscopy, 66, 76-82. doi: 10.1016/j.vibspec.2013.02.002

Using the power of C-13 NMR to interpret infrared spectra of soil organic matter: a two-dimensional correlation spectroscopy approach

2013

Journal Article

Instrumental methods (spectroscopy, electronic nose, and tongue) as tools to predicts taste and aroma in beverages: advantages and limitations

Smyth, Heather and Cozzolino, Daniel (2013). Instrumental methods (spectroscopy, electronic nose, and tongue) as tools to predicts taste and aroma in beverages: advantages and limitations. Chemical Reviews, 113 (3), 1429-1440. doi: 10.1021/cr300076c

Instrumental methods (spectroscopy, electronic nose, and tongue) as tools to predicts taste and aroma in beverages: advantages and limitations

2013

Journal Article

Monitoring water uptake in whole barley (Hordeum vulgare L.) grain during steeping using near infrared reflectance spectroscopy

Cozzolino, D., Roumeliotis, S. and Eglinton, J. (2013). Monitoring water uptake in whole barley (Hordeum vulgare L.) grain during steeping using near infrared reflectance spectroscopy. Journal of Food Engineering, 114 (4), 545-549. doi: 10.1016/j.jfoodeng.2012.09.010

Monitoring water uptake in whole barley (Hordeum vulgare L.) grain during steeping using near infrared reflectance spectroscopy

2013

Book Chapter

Applications of molecular spectroscopy in environmental and agricultural omics

Cozzolino, Daniel (2013). Applications of molecular spectroscopy in environmental and agricultural omics. Omics: Applications in Biomedical, Agricultural, and Environmental Sciences. (pp. 551-567) edited by Debmalya Barh, Vasudeo Zambare and Vasco Azevedo. Boca Raton, FL, United States: CRC Press-Taylor & Francis Group.

Applications of molecular spectroscopy in environmental and agricultural omics

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