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)

61 - 80 of 447 works

2023

Journal Article

Possibilities on the application of vibrational spectroscopy and data analytics in precision nutrition

Dongdong, Ni and Cozzolino, Daniel (2023). Possibilities on the application of vibrational spectroscopy and data analytics in precision nutrition. TrAC Trends in Analytical Chemistry, 163 117067. doi: 10.1016/j.trac.2023.117067

Possibilities on the application of vibrational spectroscopy and data analytics in precision nutrition

2023

Journal Article

Determination of glucosinolates and isothiocyanates in glucosinolate-rich vegetables and oilseeds using infrared spectroscopy: A systematic review

Ali Redha, Ali, Torquati, Luciana, Langston, Faye, Nash, Geoffrey R., Gidley, Michael J. and Cozzolino, Daniel (2023). Determination of glucosinolates and isothiocyanates in glucosinolate-rich vegetables and oilseeds using infrared spectroscopy: A systematic review. Critical Reviews in Food Science and Nutrition, 64 (23), 1-17. doi: 10.1080/10408398.2023.2198015

Determination of glucosinolates and isothiocyanates in glucosinolate-rich vegetables and oilseeds using infrared spectroscopy: A systematic review

2023

Journal Article

Biogeographic variability in kernel oil and press cake content of beauty leaf tree (Calophyllum inophyllum L.), as determined by chemical and near-infrared spectroscopy analysis

Sreekumar, Rahul, Ashwath, Nanjappa and Cozzolino, Daniel (2023). Biogeographic variability in kernel oil and press cake content of beauty leaf tree (Calophyllum inophyllum L.), as determined by chemical and near-infrared spectroscopy analysis. Sustainability, 15 (6) 5529, 1-13. doi: 10.3390/su15065529

Biogeographic variability in kernel oil and press cake content of beauty leaf tree (Calophyllum inophyllum L.), as determined by chemical and near-infrared spectroscopy analysis

2023

Journal Article

Emerging non‐destructive techniques to quantify the textural properties of food: a state‐of‐art review

Mishra, Gayatri, Sahni, Prashant, Pandiselvam, R., Panda, Brajesh Kumar, Bhati, Dolly, Mahanti, Naveen Kumar, Kothakota, Anjineyulu, Kumar, Manoj and Cozzolino, Daniel (2023). Emerging non‐destructive techniques to quantify the textural properties of food: a state‐of‐art review. Journal of Texture Studies, 54 (2), 173-205. doi: 10.1111/jtxs.12741

Emerging non‐destructive techniques to quantify the textural properties of food: a state‐of‐art review

2023

Journal Article

Advances in spectrometric techniques in food analysis and authentication

Cozzolino, Daniel (2023). Advances in spectrometric techniques in food analysis and authentication. Foods, 12 (3) 438, 438. doi: 10.3390/foods12030438

Advances in spectrometric techniques in food analysis and authentication

2023

Journal Article

Evaluating the use of a similarity index (SI) combined with near nfrared (NIR) spectroscopy as method in meat species authenticity

Cozzolino, Daniel, Bureš, Daniel and Hoffman, Louwrens C. (2023). Evaluating the use of a similarity index (SI) combined with near nfrared (NIR) spectroscopy as method in meat species authenticity. Foods, 12 (1) 182, 1-8. doi: 10.3390/foods12010182

Evaluating the use of a similarity index (SI) combined with near nfrared (NIR) spectroscopy as method in meat species authenticity

2023

Journal Article

Broad spectrum antibacterial zinc oxide-reduced graphene oxide nanocomposite for water depollution

Rajapaksha, P., Orrell-Trigg, R., Shah, D., Cheeseman, S., Vu, K.B., Ngo, S.T., Murdoch, B.J., Choudhury, N.R., Yin, H., Cozzolino, D., Truong, Y.B., Lee, A.F., Truong, V.K. and Chapman, J. (2023). Broad spectrum antibacterial zinc oxide-reduced graphene oxide nanocomposite for water depollution. Materials Today Chemistry, 27 101242. doi: 10.1016/j.mtchem.2022.101242

Broad spectrum antibacterial zinc oxide-reduced graphene oxide nanocomposite for water depollution

2023

Book Chapter

Advances in the analysis of fruits by near-infrared spectroscopy

Cozzolino, D. and Dayananda, B. (2023). Advances in the analysis of fruits by near-infrared spectroscopy. Advances in spectroscopic analysis of food and drink. (pp. 7-1-7-20) edited by Ashutosh Kumar Shukla. Bristol, U.K.: IOP Publishing. doi: 10.1088/978-0-7503-5573-5ch7

Advances in the analysis of fruits by near-infrared spectroscopy

2023

Conference Publication

Infrared spectroscopy combined with machine learning techniques to monitor starch in vitro digestibility

Visnupriyan, R., Harper, K., Flanagan, B. and Cozzolino, D. (2023). Infrared spectroscopy combined with machine learning techniques to monitor starch in vitro digestibility. 46th Annual Scientific Meeting of the Nutrition Society of Australia, Perth, WA, Australia, 29 November - 2 December. Cambridge, United Kingdom: Cambridge University Press. doi: 10.1017/S0029665123002057

Infrared spectroscopy combined with machine learning techniques to monitor starch in vitro digestibility

2023

Journal Article

State of the art and the future of fecal analysis using infrared spectroscopy

Kho, Elise A., Fernandes, Jill N., Tilbrook, Alan J., Fox, Glen P., Sikulu-Lord, Maggy T., Kotze, Andrew C., Beasley, Anne M., James, Peter J., Tolleson, Douglas R. and Cozzolino, Daniel (2023). State of the art and the future of fecal analysis using infrared spectroscopy. Applied Spectroscopy Reviews, 58 (10), 755-785. doi: 10.1080/05704928.2022.2143795

State of the art and the future of fecal analysis using infrared spectroscopy

2023

Book Chapter

Statistical and mathematical models in food authentication

Dayananda, B. and Cozzolino, D. (2023). Statistical and mathematical models in food authentication. Emerging food authentication methodologies using GC/MS. (pp. 33-43) edited by Kristian Pastor. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-30288-6_2

Statistical and mathematical models in food authentication

2022

Journal Article

Editorial: Spectroscopic applications for quality profiling and authentication of food products

Pandiselvam, R., Cozzolino, Daniel and Kothakota, Anjineyulu (2022). Editorial: Spectroscopic applications for quality profiling and authentication of food products. Frontiers in Nutrition, 9 1121385, 1121385. doi: 10.3389/fnut.2022.1121385

Editorial: Spectroscopic applications for quality profiling and authentication of food products

2022

Journal Article

Impact of Growing Location on Kakadu Plum Fruit Composition and In Vitro Bioactivity as Determinants of Its Nutraceutical Potential

Bobasa, Eshetu M., Akter, Saleha, Phan, Anh Dao Thi, Netzel, Michael E., Cozzolino, Daniel, Osborne, Simone and Sultanbawa, Yasmina (2022). Impact of Growing Location on Kakadu Plum Fruit Composition and In Vitro Bioactivity as Determinants of Its Nutraceutical Potential. Nutraceuticals, 3 (1), 13-25. doi: 10.3390/nutraceuticals3010002

Impact of Growing Location on Kakadu Plum Fruit Composition and In Vitro Bioactivity as Determinants of Its Nutraceutical Potential

2022

Journal Article

Mid-infrared spectroscopy for the rapid quantification of eucalyptus oil adulteration in Australian tea tree oil (Melaleuca alternifolia)

Johnson, Joel B., Thani, Parbat Raj, Mani, Janice S., Cozzolino, Daniel and Naiker, Mani (2022). Mid-infrared spectroscopy for the rapid quantification of eucalyptus oil adulteration in Australian tea tree oil (Melaleuca alternifolia). Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 283 121766, 1-12. doi: 10.1016/j.saa.2022.121766

Mid-infrared spectroscopy for the rapid quantification of eucalyptus oil adulteration in Australian tea tree oil (Melaleuca alternifolia)

2022

Journal Article

Interactions between soil physical fractions and microplastics – An attenuated total reflectance-mid infrared and chemometrics study

Owen, Stephanie, Nikzad, Mostafa, Khanh Truong, Vi, Chapman, James and Cozzolino, Daniel (2022). Interactions between soil physical fractions and microplastics – An attenuated total reflectance-mid infrared and chemometrics study. Infrared Physics and Technology, 127 104422. doi: 10.1016/j.infrared.2022.104422

Interactions between soil physical fractions and microplastics – An attenuated total reflectance-mid infrared and chemometrics study

2022

Journal Article

Feasibility of near infrared spectroscopy for estimating suppressiveness of carnation (Dianthus cariophyllus L.) fusarium wilt in different plant growth media

Fernández-Cabanás, Víctor M., Borrero, Celia, Cozzolino, Daniel and Avilés, Manuel (2022). Feasibility of near infrared spectroscopy for estimating suppressiveness of carnation (Dianthus cariophyllus L.) fusarium wilt in different plant growth media. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 280 121528, 1-5. doi: 10.1016/j.saa.2022.121528

Feasibility of near infrared spectroscopy for estimating suppressiveness of carnation (Dianthus cariophyllus L.) fusarium wilt in different plant growth media

2022

Journal Article

Monitoring compositional changes in Black Soldier Fly Larvae (BSFL) sourced from different waste stream diets using attenuated total reflectance mid infrared spectroscopy and chemometrics

Hoffman, Louwrens C., Zhang, Shuxin, Alagappan, Shanmugam, Wills, Volant, Yarger, Olympia and Cozzolino, Daniel (2022). Monitoring compositional changes in Black Soldier Fly Larvae (BSFL) sourced from different waste stream diets using attenuated total reflectance mid infrared spectroscopy and chemometrics. Molecules, 27 (21) 7500, 1-8. doi: 10.3390/molecules27217500

Monitoring compositional changes in Black Soldier Fly Larvae (BSFL) sourced from different waste stream diets using attenuated total reflectance mid infrared spectroscopy and chemometrics

2022

Conference Publication

Quality changes of Burdekin plums during storage

Chen, G., Sultanbawa, Y., Netzel, M., Cozzolino, D. and Olarte Mantilla, S. (2022). Quality changes of Burdekin plums during storage. TROPAG, International Agriculture Conference, Brisbane, QLD Australia, 31 October-2 November 2022.

Quality changes of Burdekin plums during storage

2022

Book Chapter

Gumby Gumby (Pittosporum angustifolium)

Thi Phan, Anh Dao, Sivakumar, Dharini, Cozzolino, Daniel, Netzel, Michael E. and Sultanbawa, Yasmina (2022). Gumby Gumby (Pittosporum angustifolium). Handbook of Phytonutrients in Indigenous Fruits and Vegetables. (pp. 11-26) London, United Kingdom: CABI. doi: 10.1079/9781789248067.0002

Gumby Gumby (Pittosporum angustifolium)

2022

Book Chapter

Saltbush (Atriplex sp.)

Srivarathan, Sukirtha, Thi Phan, Anh Dao, Wright, Olivia, Cozzolino, Daniel, Sultanbawa, Yasmina and Netzel, Michael E. (2022). Saltbush (Atriplex sp.). Handbook of Phytonutrients in Indigenous Fruits and Vegetables. (pp. 1-10) London, United Kingdom: CABI. doi: 10.1079/9781789248067.0001

Saltbush (Atriplex sp.)

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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