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)

381 - 400 of 447 works

2008

Journal Article

Verification of silage type using near-infrared spectroscopy combined with multivariate analysis

Cozzolino, D., Fassio, A., Restaino, E., Fernandez, E. and La Manna, A. (2008). Verification of silage type using near-infrared spectroscopy combined with multivariate analysis. Journal of Agricultural and Food Chemistry, 56 (1), 79-83. doi: 10.1021/jf072566d

Verification of silage type using near-infrared spectroscopy combined with multivariate analysis

2008

Journal Article

Combining multivariate analysis and pollen count to classify honey samples accordingly to different botanical origins Clasificación del origen botánico de la miel mediante la combinación de análisis multivariado y recuento de polen

Corbella, Eduardo and Cozzolino, Daniel (2008). Combining multivariate analysis and pollen count to classify honey samples accordingly to different botanical origins Clasificación del origen botánico de la miel mediante la combinación de análisis multivariado y recuento de polen. Chilean Journal of Agricultural Research, 68 (1), 102-107. doi: 10.4067/S0718-58392008000100010

Combining multivariate analysis and pollen count to classify honey samples accordingly to different botanical origins Clasificación del origen botánico de la miel mediante la combinación de análisis multivariado y recuento de polen

2008

Conference Publication

Use of direct headspace-mass spectrometry coupled with chemometrics to predict aroma properties in Australian Riesling wine

Cozzolino, Daniel, Smyth, Heather E., Cynkar, Wies, Janik, Les, Dambergs, Robert G. and Gishen, Mark (2008). Use of direct headspace-mass spectrometry coupled with chemometrics to predict aroma properties in Australian Riesling wine. 5th Symposium In Vino Analytica Scientia (In Vino 2007), Melbourne, Australia, 22-25 July 2007. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.aca.2007.09.036

Use of direct headspace-mass spectrometry coupled with chemometrics to predict aroma properties in Australian Riesling wine

2007

Journal Article

Measurement of phosphorus in soils by near infrared reflectance spectroscopy: Effect of reference method on calibration

Morón, A. and Cozzolino, D. (2007). Measurement of phosphorus in soils by near infrared reflectance spectroscopy: Effect of reference method on calibration. Communications in Soil Science and Plant Analysis, 38 (15-16), 1965-1974. doi: 10.1080/00103620701548498

Measurement of phosphorus in soils by near infrared reflectance spectroscopy: Effect of reference method on calibration

2007

Journal Article

Effect of variety, vintage and winery on the prediction by visible and near infrared spectroscopy of the concentration of glycosylated compounds (G-G) in white grape juice

Cynkar, W. U., Cozzolino, D., Dambergs, R. G., Janik, L. and Gishen, M. (2007). Effect of variety, vintage and winery on the prediction by visible and near infrared spectroscopy of the concentration of glycosylated compounds (G-G) in white grape juice. Australian Journal of Grape and Wine Research, 13 (2), 101-105. doi: 10.1111/j.1755-0238.2007.tb00240.x

Effect of variety, vintage and winery on the prediction by visible and near infrared spectroscopy of the concentration of glycosylated compounds (G-G) in white grape juice

2007

Journal Article

Identification and quantification of a marker compound for 'pepper' aroma and flavor in Shiraz grape berries by combination of chemometrics and gas chromatography-mass spectrometry

Parker, Mango, Pollnitz, Alan P., Cozzolino, Daniel, Francis, I. Leigh and Herderich, Markus J. (2007). Identification and quantification of a marker compound for 'pepper' aroma and flavor in Shiraz grape berries by combination of chemometrics and gas chromatography-mass spectrometry. Journal of Agricultural and Food Chemistry, 55 (15), 5948-5955. doi: 10.1021/jf0705320

Identification and quantification of a marker compound for 'pepper' aroma and flavor in Shiraz grape berries by combination of chemometrics and gas chromatography-mass spectrometry

2007

Journal Article

Prediction of chemical composition in sunflower whole plant and silage (Helianthus annus L.) by near infrared reflectance spectroscopy

Fassio, A., Gimenez, A., Fernandez, E., Vaz Martins, D. and Cozzolino, D. (2007). Prediction of chemical composition in sunflower whole plant and silage (Helianthus annus L.) by near infrared reflectance spectroscopy. Journal of Near Infrared Spectroscopy, 15 (3), 201-207. doi: 10.1255/jnirs.731

Prediction of chemical composition in sunflower whole plant and silage (Helianthus annus L.) by near infrared reflectance spectroscopy

2007

Journal Article

Feasibility study on the potential of visible and near infrared reflectance spectroscopy to measure alpaca fibre characteristics

Gishen, M. and Cozzolino, D. (2007). Feasibility study on the potential of visible and near infrared reflectance spectroscopy to measure alpaca fibre characteristics. Animal, 1 (6), 899-904. doi: 10.1017/S1751731107000146

Feasibility study on the potential of visible and near infrared reflectance spectroscopy to measure alpaca fibre characteristics

2007

Journal Article

Feasibility study on the use of a head space mass spectrometry electronic nose (MS e_nose) to monitor red wine spoilage induced by Brettanomyces yeast

Cynkar, Wies, Cozzolino, Daniel, Dambergs, Bob, Janik, Les and Gishen, Mark (2007). Feasibility study on the use of a head space mass spectrometry electronic nose (MS e_nose) to monitor red wine spoilage induced by Brettanomyces yeast. Sensors and Actuators, B: Chemical, 124 (1), 167-171. doi: 10.1016/j.snb.2006.12.017

Feasibility study on the use of a head space mass spectrometry electronic nose (MS e_nose) to monitor red wine spoilage induced by Brettanomyces yeast

2007

Journal Article

The prediction of total anthocyanin concentration in red-grape homogenates using visible-near-infrared spectroscopy and artificial neural networks

Janik, L.J., Cozzolino, D., Dambergs, R., Cynkar, W. and Gishen, M. (2007). The prediction of total anthocyanin concentration in red-grape homogenates using visible-near-infrared spectroscopy and artificial neural networks. Analytica Chimica Acta, 594 (1), 107-118. doi: 10.1016/j.aca.2007.05.019

The prediction of total anthocyanin concentration in red-grape homogenates using visible-near-infrared spectroscopy and artificial neural networks

2007

Journal Article

Effect of temperature variation on the visible and near infrared spectra of wine and the consequences on the partial least square calibrations developed to measure chemical composition

Cozzolino, D., Liu, L., Cynkar, W. U., Dambergs, R. G., Janik, L., Colby, C. B. and Gishen, M. (2007). Effect of temperature variation on the visible and near infrared spectra of wine and the consequences on the partial least square calibrations developed to measure chemical composition. Analytica Chimica Acta, 588 (2), 224-230. doi: 10.1016/j.aca.2007.01.079

Effect of temperature variation on the visible and near infrared spectra of wine and the consequences on the partial least square calibrations developed to measure chemical composition

2007

Conference Publication

A feasibility study on the use of visible and short wavelengths in the near-infrared region for the non-destructive measurement of wine composition

Cozzolino, D., Kwiatkowski, M. J., Waters, E. J. and Gishen, M. (2007). A feasibility study on the use of visible and short wavelengths in the near-infrared region for the non-destructive measurement of wine composition. doi: 10.1007/s00216-006-1031-z

A feasibility study on the use of visible and short wavelengths in the near-infrared region for the non-destructive measurement of wine composition

2007

Journal Article

Preliminary study on the use of near-infrared reflectance spectroscopy to assess nitrogen content of undried wheat plants

Morón, Alejandro, García, Adriana, Sawchik, Jorge and Cozzolino, Daniel (2007). Preliminary study on the use of near-infrared reflectance spectroscopy to assess nitrogen content of undried wheat plants. Journal of the Science of Food and Agriculture, 87 (1), 147-152. doi: 10.1002/jsfa.2691

Preliminary study on the use of near-infrared reflectance spectroscopy to assess nitrogen content of undried wheat plants

2006

Journal Article

Development of a rapid "fingerprinting" system for wine authenticity by mid-infrared spectroscopy

Bevin, Christopher J., Fergusson, Allison J., Perry, Wade B., Janik, Leslie J. and Cozzolino, Daniel (2006). Development of a rapid "fingerprinting" system for wine authenticity by mid-infrared spectroscopy. Journal of Agricultural and Food Chemistry, 54 (26), 9713-9718. doi: 10.1021/jf062265o

Development of a rapid "fingerprinting" system for wine authenticity by mid-infrared spectroscopy

2006

Journal Article

Chemometrics and visible-near infrared spectroscopic monitoring of red wine fermentation in a pilot scale

Cozzolino, Daniel, Parker, Mango, Dambergs, Robert G., Herderich, Markus and Gishen, Mark (2006). Chemometrics and visible-near infrared spectroscopic monitoring of red wine fermentation in a pilot scale. Biotechnology and Bioengineering, 95 (6), 1101-1107. doi: 10.1002/bit.21067

Chemometrics and visible-near infrared spectroscopic monitoring of red wine fermentation in a pilot scale

2006

Journal Article

Analysis of grapes and wine by near infrared spectroscopy

Cozzolino, D., Dambergs, R.G., Janik, L., Cynkar, W.U. and Gishen, M. (2006). Analysis of grapes and wine by near infrared spectroscopy. Journal of Near Infrared Spectroscopy, 14 (5), 279-289. doi: 10.1255/jnirs.679

Analysis of grapes and wine by near infrared spectroscopy

2006

Journal Article

Geographic classification of Spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate Analysis

Liu, L., Cozzolino, D., Cynkar, W. U., Gishen, M. and Colby, C. B. (2006). Geographic classification of Spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate Analysis. Journal of Agricultural and Food Chemistry, 54 (18), 6754-6759. doi: 10.1021/jf061528b

Geographic classification of Spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate Analysis

2006

Journal Article

Measurement of chemical composition in wet whole maize silage by visible and near infrared reflectance spectroscopy

Cozzolino, D., Fassio, A., Fernández, E., Restaino, E. and La Manna, A. (2006). Measurement of chemical composition in wet whole maize silage by visible and near infrared reflectance spectroscopy. Animal Feed Science and Technology, 129 (3-4), 329-336. doi: 10.1016/j.anifeedsci.2006.01.025

Measurement of chemical composition in wet whole maize silage by visible and near infrared reflectance spectroscopy

2006

Journal Article

The effect of increased yeast alchohol acetyltransferase and esterase activity on the flavour profiles of wine and distillates

Lilly, Mariska, Bauer, Florian F., Lambrechts, Marius G., Swiegers, Jan H., Cozzolino, Daniel and Pretorius, Isak S. (2006). The effect of increased yeast alchohol acetyltransferase and esterase activity on the flavour profiles of wine and distillates. Yeast, 23 (9), 641-659. doi: 10.1002/yea.1382

The effect of increased yeast alchohol acetyltransferase and esterase activity on the flavour profiles of wine and distillates

2006

Journal Article

Combining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay: A feasibility study

Cozzolino, D., Vadell, A., Ballesteros, F., Galietta, G. and Barlocco, N. (2006). Combining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay: A feasibility study. Analytical and Bioanalytical Chemistry, 385 (5), 931-936. doi: 10.1007/s00216-006-0483-5

Combining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay: A feasibility study

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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