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)

321 - 340 of 447 works

2013

Journal Article

Analytical and chemometric-based methods to monitor and evaluate wine protected designation

Daniel, Cozzolino and Smyth, Heather (2013). Analytical and chemometric-based methods to monitor and evaluate wine protected designation. Comprehensive Analytical Chemistry, 60, 385-408. doi: 10.1016/B978-0-444-59562-1.00015-3

Analytical and chemometric-based methods to monitor and evaluate wine protected designation

2013

Journal Article

Characterization of glycosylated aroma compounds in Tannat grapes and feasibility of the near infrared spectroscopy application for their prediction

Boido, Eduardo, Fariña, Laura, Carrau, Francisco, Dellacassa, Eduardo and Cozzolino, Daniel (2013). Characterization of glycosylated aroma compounds in Tannat grapes and feasibility of the near infrared spectroscopy application for their prediction. Food Analytical Methods, 6 (1), 100-111. doi: 10.1007/s12161-012-9423-5

Characterization of glycosylated aroma compounds in Tannat grapes and feasibility of the near infrared spectroscopy application for their prediction

2012

Journal Article

Benefits and limitations of infrared technologies in omics research and development of natural drugs and pharmaceutical products

Cozzolino, Daniel (2012). Benefits and limitations of infrared technologies in omics research and development of natural drugs and pharmaceutical products. Drug Development Research, 73 (8), 504-512. doi: 10.1002/ddr.21043

Benefits and limitations of infrared technologies in omics research and development of natural drugs and pharmaceutical products

2012

Journal Article

Classification of smoke tainted wines using mid-infrared spectroscopy and chemometrics

Fudge, Anthea L., Wilkinson, Kerry L., Ristic, Renata and Cozzolino, Daniel (2012). Classification of smoke tainted wines using mid-infrared spectroscopy and chemometrics. Journal of Agricultural and Food Chemistry, 60 (1), 52-59. doi: 10.1021/jf203849h

Classification of smoke tainted wines using mid-infrared spectroscopy and chemometrics

2012

Journal Article

Feasibility study on the use of multivariate data methods and derivatives to enhance information from barley flour and malt samples analysed using the Rapid Visco Analyser

Cozzolino, Daniel, Allder, Katherine, Roumeliotis, Sophia and Eglinton, Jason (2012). Feasibility study on the use of multivariate data methods and derivatives to enhance information from barley flour and malt samples analysed using the Rapid Visco Analyser. Journal of Cereal Science, 56 (3), 610-614. doi: 10.1016/j.jcs.2012.07.004

Feasibility study on the use of multivariate data methods and derivatives to enhance information from barley flour and malt samples analysed using the Rapid Visco Analyser

2012

Journal Article

Recent trends on the use of infrared spectroscopy to trace and authenticate natural and agricultural food products

Cozzolino, D. (2012). Recent trends on the use of infrared spectroscopy to trace and authenticate natural and agricultural food products. Applied Spectroscopy Reviews, 47 (7), 518-530. doi: 10.1080/05704928.2012.667858

Recent trends on the use of infrared spectroscopy to trace and authenticate natural and agricultural food products

2012

Journal Article

A feasibility study of the classification of Alpaca (Lama pacos) wool samples from different ages, sex and color by means of visible and near infrared reflectance spectroscopy

Canaza-Cayo, A. W., Cozzolino, D., Alomar, D. and Quispe, E. (2012). A feasibility study of the classification of Alpaca (Lama pacos) wool samples from different ages, sex and color by means of visible and near infrared reflectance spectroscopy. Computers and Electronics in Agriculture, 88, 141-147. doi: 10.1016/j.compag.2012.07.013

A feasibility study of the classification of Alpaca (Lama pacos) wool samples from different ages, sex and color by means of visible and near infrared reflectance spectroscopy

2012

Journal Article

The effect of homogenisation and storage on the near-infrared spectra of half shell Pacific Oysters (Crassostrea gigas)

Madigan, Thomas, Kiermeier, Andreas, de Barros Lopes, Miguel and Cozzolino, Daniel (2012). The effect of homogenisation and storage on the near-infrared spectra of half shell Pacific Oysters (Crassostrea gigas). Food Analytical Methods, 5 (5), 995-1002. doi: 10.1007/s12161-011-9329-7

The effect of homogenisation and storage on the near-infrared spectra of half shell Pacific Oysters (Crassostrea gigas)

2012

Journal Article

The use of attenuated total reflectance as tool to monitor the time course of fermentation in wild ferments

Cozzolino, D. and Curtin, C. (2012). The use of attenuated total reflectance as tool to monitor the time course of fermentation in wild ferments. Food Control, 26 (2), 241-246. doi: 10.1016/j.foodcont.2012.02.006

The use of attenuated total reflectance as tool to monitor the time course of fermentation in wild ferments

2012

Journal Article

Rapid measurement of methyl cellulose precipitable tannins using ultraviolet spectroscopy with chemometrics: application to red wine and inter-laboratory calibration transfer

Dambergs, Robert G., Mercurio, Meagan D., Kassara, Stella, Cozzolino, Daniel and Smith, Paul A. (2012). Rapid measurement of methyl cellulose precipitable tannins using ultraviolet spectroscopy with chemometrics: application to red wine and inter-laboratory calibration transfer. Applied Spectroscopy, 66 (6), 656-664. doi: 10.1366/11-06516

Rapid measurement of methyl cellulose precipitable tannins using ultraviolet spectroscopy with chemometrics: application to red wine and inter-laboratory calibration transfer

2012

Journal Article

Comparison of near infrared and mid infrared spectroscopy to discriminate between wines produced by different Oenococcus Oeni strains after malolactic fermentation: a feasibility study

Cozzolino, D., McCarthy, J. and Bartowsky, E. (2012). Comparison of near infrared and mid infrared spectroscopy to discriminate between wines produced by different Oenococcus Oeni strains after malolactic fermentation: a feasibility study. Food Control, 26 (1), 81-87. doi: 10.1016/j.foodcont.2012.01.003

Comparison of near infrared and mid infrared spectroscopy to discriminate between wines produced by different Oenococcus Oeni strains after malolactic fermentation: a feasibility study

2012

Journal Article

Varietal differentiation of grape juice based on the analysis of near- and mid-infrared spectral data

Cozzolino, Daniel, Cynkar, Wies, Shah, Nevil and Smith, Paul (2012). Varietal differentiation of grape juice based on the analysis of near- and mid-infrared spectral data. Food Analytical Methods, 5 (3), 381-387. doi: 10.1007/s12161-011-9249-6

Varietal differentiation of grape juice based on the analysis of near- and mid-infrared spectral data

2012

Journal Article

A review on the application of infrared technologies to determine and monitor composition and other quality characteristics in raw fish, fish products, and seafood

Cozzolino, Daniel and Murray, Ian (2012). A review on the application of infrared technologies to determine and monitor composition and other quality characteristics in raw fish, fish products, and seafood. Applied Spectroscopy Reviews, 47 (3), 207-218. doi: 10.1080/05704928.2011.639106

A review on the application of infrared technologies to determine and monitor composition and other quality characteristics in raw fish, fish products, and seafood

2012

Book Chapter

Quality control of honey using spectroscopic methods

Cozzolino, D., Corbella, E. and Smyth, H. (2012). Quality control of honey using spectroscopic methods. Honey : production, consumption, and health benefits. (pp. 113-132) edited by Gilles Bondurand and Hernan Bosch. Hauppauge NY, USA: Nova Science Publisher.

Quality control of honey using spectroscopic methods

2012

Book Chapter

Rapid analytical sensor systems (spectroscopy and electronic noses) as tools to understand taste and aroma in alcoholic beverages

Cozzolino, Daniel, Shah, Nevil and Cynkar, Wies (2012). Rapid analytical sensor systems (spectroscopy and electronic noses) as tools to understand taste and aroma in alcoholic beverages. The Sense of Taste. (pp. 67-80) edited by Elizabeth J. Lynch and Alexander P. Petrov. New York, NY, United States: Nova Science Publishers.

Rapid analytical sensor systems (spectroscopy and electronic noses) as tools to understand taste and aroma in alcoholic beverages

2011

Journal Article

Effect of microwave heating on the near infrared spectra and on the prediction accuracy of chemical parameters in red grape homogenates

Cozzolino, D., Cynkar, W. U. and Dambergs, R. G. (2011). Effect of microwave heating on the near infrared spectra and on the prediction accuracy of chemical parameters in red grape homogenates. Sensing and Instrumentation for Food Quality and Safety, 5 (3-4), 97-103. doi: 10.1007/s11694-011-9116-6

Effect of microwave heating on the near infrared spectra and on the prediction accuracy of chemical parameters in red grape homogenates

2011

Journal Article

Discrimination of meat paté s according to the animal species by means of near infrared spectroscopy and chemometrics

Restaino, E., Fassio, A. and Cozzolino, D. (2011). Discrimination of meat paté s according to the animal species by means of near infrared spectroscopy and chemometrics. CYTA - Journal of Food, 9 (3), 210-213. doi: 10.1080/19476337.2010.512396

Discrimination of meat paté s according to the animal species by means of near infrared spectroscopy and chemometrics

2011

Journal Article

Quality control of honey using infrared spectroscopy: a review

Cozzolino, D., Corbella, E. and Smyth, H. E. (2011). Quality control of honey using infrared spectroscopy: a review. Applied Spectroscopy Reviews, 46 (7), 523-538. doi: 10.1080/05704928.2011.587857

Quality control of honey using infrared spectroscopy: a review

2011

Journal Article

Discrimination between Shiraz wines from different Australian regions: The role of spectroscopy and chemometrics

Riovanto, Roberto, Cynkar, Wies U., Berzaghi, Paolo and Cozzolino, Daniel (2011). Discrimination between Shiraz wines from different Australian regions: The role of spectroscopy and chemometrics. Journal of Agricultural and Food Chemistry, 59 (18), 10356-10360. doi: 10.1021/jf202578f

Discrimination between Shiraz wines from different Australian regions: The role of spectroscopy and chemometrics

2011

Journal Article

Technical solutions for analysis of grape juice, must, and wine: The role of infrared spectroscopy and chemometrics

Cozzolino, D., Cynkar, W., Shah, N. and Smith, P. (2011). Technical solutions for analysis of grape juice, must, and wine: The role of infrared spectroscopy and chemometrics. Analytical and Bioanalytical Chemistry, 401 (5), 1479-1488. doi: 10.1007/s00216-011-4946-y

Technical solutions for analysis of grape juice, must, and wine: The role of infrared spectroscopy and chemometrics

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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