Associate Professor Daniel Cozzolino
Associate Professor

Daniel Cozzolino

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+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)

341 - 360 of 447 works

2011

Journal Article

Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality

Cozzolino, D., Cynkar, W. U., Shah, N. and Smith, P. (2011). Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality. Food Research International, 44 (7), 1888-1896. doi: 10.1016/j.foodres.2011.01.041

Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality

2011

Journal Article

Quantitative analysis of minerals and electric conductivity of red grape homogenates by near infrared reflectance spectroscopy

Cozzolino, D., Cynkar, W., Shah, N. and Smith, P. (2011). Quantitative analysis of minerals and electric conductivity of red grape homogenates by near infrared reflectance spectroscopy. Computers and Electronics in Agriculture, 77 (1), 81-85. doi: 10.1016/j.compag.2011.03.011

Quantitative analysis of minerals and electric conductivity of red grape homogenates by near infrared reflectance spectroscopy

2011

Journal Article

Applications of infrared spectroscopy for quantitative analysis of volatile and secondary metabolites in plant materials

Smyth, H. and Cozzolino, D. (2011). Applications of infrared spectroscopy for quantitative analysis of volatile and secondary metabolites in plant materials. Current Bioactive Compounds, 7 (2), 66-74. doi: 10.2174/157340711796011160

Applications of infrared spectroscopy for quantitative analysis of volatile and secondary metabolites in plant materials

2011

Journal Article

Application of NIR-AOTF spectroscopy to monitor Aleatico grape dehydration for Passito wine production

Bellincontro, Andrea, Cozzolino, Daniel and Mencarelli, Fabio (2011). Application of NIR-AOTF spectroscopy to monitor Aleatico grape dehydration for Passito wine production. American Journal of Enology and Viticulture, 62 (2), 256-260. doi: 10.5344/ajev.2010.10041

Application of NIR-AOTF spectroscopy to monitor Aleatico grape dehydration for Passito wine production

2011

Journal Article

Can spectroscopy geographically classify Sauvignon Blanc wines from Australia and New Zealand?

Cozzolino, D., Cynkar, W. U., Shah, N. and Smith, P. A. (2011). Can spectroscopy geographically classify Sauvignon Blanc wines from Australia and New Zealand?. Food Chemistry, 126 (2), 673-678. doi: 10.1016/j.foodchem.2010.11.005

Can spectroscopy geographically classify Sauvignon Blanc wines from Australia and New Zealand?

2011

Journal Article

Microvinification - How small can we go?

Liccioli, Tommaso, Tran, Tina M. T., Cozzolino, Daniel, Jiranek, Vladimir, Chambers, Paul J. and Schmidt, Simon A. (2011). Microvinification - How small can we go?. Applied Microbiology and Biotechnology, 89 (5), 1621-1628. doi: 10.1007/s00253-010-2992-6

Microvinification - How small can we go?

2011

Journal Article

Non-destructive measurement of grapevine water potential using near infrared spectroscopy

De Bei, R., Cozzolino, D., Sullivan, W., Cynkar, W., Fuentes, S., Dambergs, R., Pech, J. and Tyerman, S. D. (2011). Non-destructive measurement of grapevine water potential using near infrared spectroscopy. Australian Journal of Grape and Wine Research, 17 (1), 62-71. doi: 10.1111/j.1755-0238.2010.00117.x

Non-destructive measurement of grapevine water potential using near infrared spectroscopy

2011

Journal Article

Infrared Methods for High Throughput Screening of Metabolites: Food and Medical Applications

Cozzolino, Daniel (2011). Infrared Methods for High Throughput Screening of Metabolites: Food and Medical Applications. Combinatorial Chemistry and High Throughput Screening, 14 (2), 125-131. doi: 10.2174/138620711794474105

Infrared Methods for High Throughput Screening of Metabolites: Food and Medical Applications

2011

Journal Article

Feasibility study on the use of attenuated total reflectance mid-infrared for analysis of compositional parameters in wine

Cozzolino, D., Cynkar, W., Shah, N. and Smith, P. (2011). Feasibility study on the use of attenuated total reflectance mid-infrared for analysis of compositional parameters in wine. Food Research International, 44 (1), 181-186. doi: 10.1016/j.foodres.2010.10.043

Feasibility study on the use of attenuated total reflectance mid-infrared for analysis of compositional parameters in wine

2010

Journal Article

Grape (Vitis vinifera) compositional data spanning ten successive vintages in the context of abiotic growing parameters

Cozzolino, D., Cynkar, W. U., Dambergs, R. G., Gishen, M. and Smith, P. (2010). Grape (Vitis vinifera) compositional data spanning ten successive vintages in the context of abiotic growing parameters. Agriculture, Ecosystems and Environment, 139 (4), 565-570. doi: 10.1016/j.agee.2010.09.017

Grape (Vitis vinifera) compositional data spanning ten successive vintages in the context of abiotic growing parameters

2010

Journal Article

Relationship between red wine grades and phenolics. 1. Tannin and total phenolics concentrations

Mercurio, Meagan D., Dambergs, Robert G., Cozzolino, Daniel, Herderich, Markus J. and Smith, Paul A. (2010). Relationship between red wine grades and phenolics. 1. Tannin and total phenolics concentrations. Journal of Agricultural and Food Chemistry, 58 (23), 12313-12319. doi: 10.1021/jf103230b

Relationship between red wine grades and phenolics. 1. Tannin and total phenolics concentrations

2010

Book Chapter

Application of electronic noses in the wine industry

Cozzolino, Daniel, Cynkar, Wies and Dambergs, Robert (2010). Application of electronic noses in the wine industry. Handbook on Mass Spectrometry: Instrumentation, Data and Analysis, and Applications. (pp. 435-445) Nova Science Publishers, Inc..

Application of electronic noses in the wine industry

2010

Journal Article

Influence of soil particle size on the measurement of sodium by near-infrared reflectance spectroscopy

Cozzolino, D. and Morón, A. (2010). Influence of soil particle size on the measurement of sodium by near-infrared reflectance spectroscopy. Communications in Soil Science and Plant Analysis, 41 (19), 2330-2339. doi: 10.1080/00103624.2010.508097

Influence of soil particle size on the measurement of sodium by near-infrared reflectance spectroscopy

2010

Journal Article

Discrimination of yerba mate (Ilex paraguayensis St. Hil.) samples according to their geographical origin by means of near infrared spectroscopy and multivariate analysis

Cozzolino, D., Restaino, E. and Fassio, A. (2010). Discrimination of yerba mate (Ilex paraguayensis St. Hil.) samples according to their geographical origin by means of near infrared spectroscopy and multivariate analysis. Sensing and Instrumentation for Food Quality and Safety, 4 (2), 67-72. doi: 10.1007/s11694-010-9096-y

Discrimination of yerba mate (Ilex paraguayensis St. Hil.) samples according to their geographical origin by means of near infrared spectroscopy and multivariate analysis

2010

Journal Article

Use of attenuated total reflectance midinfrared for rapid and real-time analysis of compositional parameters in commercial white grape juice

Shah, Nevil, Cynkar, Wies, Smith, Paul and Cozzolino, Daniel (2010). Use of attenuated total reflectance midinfrared for rapid and real-time analysis of compositional parameters in commercial white grape juice. Journal of Agricultural and Food Chemistry, 58 (6), 3279-3283. doi: 10.1021/jf100420z

Use of attenuated total reflectance midinfrared for rapid and real-time analysis of compositional parameters in commercial white grape juice

2010

Journal Article

Two-dimensional correlation analysis of the effect of temperature on the fingerprint of wines analysed by mass spectrometry electronic nose

Cozzolino, Daniel, Cynkar, Wies, Dambergs, Robert and Smith, Paul (2010). Two-dimensional correlation analysis of the effect of temperature on the fingerprint of wines analysed by mass spectrometry electronic nose. Sensors and Actuators, B: Chemical, 145 (2), 628-634. doi: 10.1016/j.snb.2010.01.003

Two-dimensional correlation analysis of the effect of temperature on the fingerprint of wines analysed by mass spectrometry electronic nose

2010

Journal Article

Classification of Tempranillo wines according to geographic origin: Combination of mass spectrometry based electronic nose and chemometrics

Cynkar, Wies, Dambergs, Robert, Smith, Paul and Cozzolino, Daniel (2010). Classification of Tempranillo wines according to geographic origin: Combination of mass spectrometry based electronic nose and chemometrics. Analytica Chimica Acta, 660 (1-2), 227-231. doi: 10.1016/j.aca.2009.09.030

Classification of Tempranillo wines according to geographic origin: Combination of mass spectrometry based electronic nose and chemometrics

2010

Book Chapter

Instrumental analysis of grape, must and wine

Cozzolino, D. and Dambergs, R. G. (2010). Instrumental analysis of grape, must and wine. Managing Wine Quality: Viticulture and Wine Quality. (pp. 134-161) Elsevier Inc.. doi: 10.1533/9781845699284.2.134

Instrumental analysis of grape, must and wine

2010

Journal Article

A review on the use of near infrared spectroscopy for plant analysis

Cozzolino, Daniel (2010). A review on the use of near infrared spectroscopy for plant analysis. Medicinal Plants - International Journal of Phytomedicines and Related Industries, 2 (1), 13-20. doi: 10.5958/j.0975-4261.2.1.002

A review on the use of near infrared spectroscopy for plant analysis

2010

Journal Article

Identification of transgenic foods using NIR spectroscopy: A review

Alishahi, A., Farahmand, H., Prieto, N. and Cozzolino, D. (2010). Identification of transgenic foods using NIR spectroscopy: A review. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 75 (1), 1-7. doi: 10.1016/j.saa.2009.10.001

Identification of transgenic foods using NIR spectroscopy: A review

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

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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

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