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)

101 - 120 of 447 works

2022

Journal Article

Emerging non-destructive imaging techniques for fruit damage detection: image processing and analysis

Mahanti, Naveen Kumar, Pandiselvam, R., Kothakota, Anjineyulu, Ishwarya S., Padma, Chakraborty, Subir Kumar, Kumar, Manoj and Cozzolino, Daniel (2022). Emerging non-destructive imaging techniques for fruit damage detection: image processing and analysis. Trends in Food Science and Technology, 120, 418-438. doi: 10.1016/j.tifs.2021.12.021

Emerging non-destructive imaging techniques for fruit damage detection: image processing and analysis

2022

Conference Publication

Saliva interprets oral sensory physiology, oral processing behavior, and human satiety

Ni, Dongdong, Smyth, Heather, Cozzolino, Daniel and Gidley, Mike (2022). Saliva interprets oral sensory physiology, oral processing behavior, and human satiety. 16th Australia and New Zealand Sensory and Consumer Science Symposium , Brisbane, QLD Australia, 5-7 February 2022.

Saliva interprets oral sensory physiology, oral processing behavior, and human satiety

2022

Journal Article

An overview of the successful application of vibrational spectroscopy techniques to quantify nutraceuticals in fruits and plants

Cozzolino, Daniel (2022). An overview of the successful application of vibrational spectroscopy techniques to quantify nutraceuticals in fruits and plants. Foods, 11 (3) 315, 315. doi: 10.3390/foods11030315

An overview of the successful application of vibrational spectroscopy techniques to quantify nutraceuticals in fruits and plants

2022

Journal Article

Advantages, opportunities, and challenges of vibrational spectroscopy as tool to monitor sustainable food systems

Cozzolino, Daniel (2022). Advantages, opportunities, and challenges of vibrational spectroscopy as tool to monitor sustainable food systems. Food Analytical Methods, 15 (5), 1390-1396. doi: 10.1007/s12161-021-02207-w

Advantages, opportunities, and challenges of vibrational spectroscopy as tool to monitor sustainable food systems

2022

Book Chapter

New nanomaterials for wastewater depollution: methods using chemometric approaches

Dang, Yen T.H., Gangadoo, Sheeana, Truong, Vi Khanh, Cozzolino, Daniel and Chapman, James (2022). New nanomaterials for wastewater depollution: methods using chemometric approaches. Separations of water pollutants with nanotechnology. (pp. 287-298) edited by Satinder Ahuja. London, United Kingdom: Elsevier. doi: 10.1016/B978-0-323-90763-7.00013-5

New nanomaterials for wastewater depollution: methods using chemometric approaches

2022

Book Chapter

Near infrared for white wine analysis

Power, A. and Cozzolino, D. (2022). Near infrared for white wine analysis. White wine technology. (pp. 239-246) edited by Antonia Morata. London, United Kingdom: Academic Press. doi: 10.1016/B978-0-12-823497-6.00009-0

Near infrared for white wine analysis

2022

Book Chapter

Artificial intelligence applied to healthcare and biotechnology

Chapman, James, Truong, Vi Khanh and Cozzolino, Daniel (2022). Artificial intelligence applied to healthcare and biotechnology. Biotechnology in Healthcare, Volume 1: Technologies and Innovations. (pp. 249-257) edited by Debmalya Barh. London, United Kingdom: Academic Press/Elsevier. doi: 10.1016/B978-0-323-89837-9.00001-2

Artificial intelligence applied to healthcare and biotechnology

2022

Book Chapter

The assessment of grape products (berry, juice, and wine) quality using vibrational spectroscopy coupled with multivariate analysis

Power, A. C., Chapman, J., Chandra, S., Roberts, J. J., Dambergs, R. and Cozzolino, D. (2022). The assessment of grape products (berry, juice, and wine) quality using vibrational spectroscopy coupled with multivariate analysis. Managing wine quality: volume one: viticulture and wine quality. (pp. 187-206) edited by Andrew G. Reynolds. Cambridge, MA USA: Woodhead Publishing. doi: 10.1016/B978-0-08-102067-8.00004-X

The assessment of grape products (berry, juice, and wine) quality using vibrational spectroscopy coupled with multivariate analysis

2022

Journal Article

A review of environmental metabolism disrupting chemicals and effect biomarkers associating disease risks: where exposomics meets metabolomics

Sun, Jiachen, Fang, Runcheng, Wang, Hua, Xu, De-Xiang, Yang, Jing, Huang, Xiaochen, Cozzolino, Daniel, Fang, Mingliang and Huang, Yichao (2022). A review of environmental metabolism disrupting chemicals and effect biomarkers associating disease risks: where exposomics meets metabolomics. Environment International, 158 106941, 1-16. doi: 10.1016/j.envint.2021.106941

A review of environmental metabolism disrupting chemicals and effect biomarkers associating disease risks: where exposomics meets metabolomics

2022

Book Chapter

Advances in the utilization of mid infrared spectroscopy to analyzing the composition and provenance of Australian plant-based foods

Cozzolino, Daniel (2022). Advances in the utilization of mid infrared spectroscopy to analyzing the composition and provenance of Australian plant-based foods. FTIR spectroscopy: advances in research and applications. (pp. 27-41) edited by Adriana S. França and Leandro S. Oliveira. New York, NY, United States: Nova Science Publishers.

Advances in the utilization of mid infrared spectroscopy to analyzing the composition and provenance of Australian plant-based foods

2022

Journal Article

Preface

Cozzolino, Daniel (2022). Preface. Comprehensive Analytical Chemistry, 98. doi: 10.1016/S0166-526X(22)00082-4

Preface

2022

Journal Article

A preliminary study on the utilisation of near infrared spectroscopy to predict age and in vivo human metabolism

Ni, Dongdong, Smyth, Heather E., Gidley, Michael J. and Cozzolino, Daniel (2022). A preliminary study on the utilisation of near infrared spectroscopy to predict age and in vivo human metabolism. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 265 120312, 120312. doi: 10.1016/j.saa.2021.120312

A preliminary study on the utilisation of near infrared spectroscopy to predict age and in vivo human metabolism

2022

Journal Article

Organic side streams (bioproducts) as substrate for black soldier fly (Hermetia illucens) intended as animal feed: chemical safety issues

Alagappan, Shanmugam, Rowland, Duncan, Barwell, Rob, Cozzolino, Daniel, Mikkelsen, Deirdre, Olarte Mantilla, Sandra M., James, Peter, Yarger, Olympia and Hoffman, Louwrens (2022). Organic side streams (bioproducts) as substrate for black soldier fly (Hermetia illucens) intended as animal feed: chemical safety issues. Animal Production Science, 62 (17), 1639-1651. doi: 10.1071/an22155

Organic side streams (bioproducts) as substrate for black soldier fly (Hermetia illucens) intended as animal feed: chemical safety issues

2022

Conference Publication

Saliva interprets oral sensory physiology, oral processing behaviour, and human satiety

Ni, Dongdong, Cozzolino, Daniel, Gidley, Mike and Smyth, Heather (2022). Saliva interprets oral sensory physiology, oral processing behaviour, and human satiety. 16th Australian and New Zealand Sensory and Consumer Science Symposium, Brisbane, QLD, Australia, 15-17 February 2022.

Saliva interprets oral sensory physiology, oral processing behaviour, and human satiety

2021

Journal Article

Insights on the role of chemometrics and vibrational spectroscopy in fruit metabolite analysis

Sultanbawa, Y., Smyth, H. E., Truong, K., Chapman, J. and Cozzolino, D. (2021). Insights on the role of chemometrics and vibrational spectroscopy in fruit metabolite analysis. Food Chemistry: Molecular Sciences, 3 100033, 100033. doi: 10.1016/j.fochms.2021.100033

Insights on the role of chemometrics and vibrational spectroscopy in fruit metabolite analysis

2021

Journal Article

The effect of maturity and season on health‐related bioactive compounds in wild harvested fruit of Terminalia ferdinandiana (Exell)

Phan, Anh Dao Thi, Damyeh, Maral Seidi, Chaliha, Mridusmita, Akter, Saleha, Fyfe, Selina, Netzel, Michael E., Cozzolino, Daniel and Sultanbawa, Yasmina (2021). The effect of maturity and season on health‐related bioactive compounds in wild harvested fruit of Terminalia ferdinandiana (Exell). International Journal of Food Science and Technology, 56 (12), 6431-6442. doi: 10.1111/ijfs.15350

The effect of maturity and season on health‐related bioactive compounds in wild harvested fruit of Terminalia ferdinandiana (Exell)

2021

Journal Article

Probing nanoscale interactions of antimicrobial zinc oxide quantum dots on bacterial and fungal cell surfaces

Gangadoo, Sheeana, Xu, Chenglong, Cozzolino, Daniel, Latham, Kay, Della Gaspera, Enrico, Chapman, James and Truong, Vi Khanh (2021). Probing nanoscale interactions of antimicrobial zinc oxide quantum dots on bacterial and fungal cell surfaces. Advanced Materials Interfaces, 9 (3) 2101484, 2101484. doi: 10.1002/admi.202101484

Probing nanoscale interactions of antimicrobial zinc oxide quantum dots on bacterial and fungal cell surfaces

2021

Journal Article

The ability of Near Infrared (NIR) spectroscopy to predict functional properties in foods: challenges and opportunities

Cozzolino, Daniel (2021). The ability of Near Infrared (NIR) spectroscopy to predict functional properties in foods: challenges and opportunities. Molecules, 26 (22) 6981, 1-8. doi: 10.3390/molecules26226981

The ability of Near Infrared (NIR) spectroscopy to predict functional properties in foods: challenges and opportunities

2021

Journal Article

Microplastic adulteration in homogenized fish and seafood - a mid-infrared and machine learning proof of concept

Owen, Stephanie, Cureton, Samuel, Szuhan, Mathew, McCarten, Joel, Arvanitis, Panagiota, Ascione, Max, Truong, Vi Khanh, Chapman, James and Cozzolino, Daniel (2021). Microplastic adulteration in homogenized fish and seafood - a mid-infrared and machine learning proof of concept. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 260 119985, 119985. doi: 10.1016/j.saa.2021.119985

Microplastic adulteration in homogenized fish and seafood - a mid-infrared and machine learning proof of concept

2021

Journal Article

Exploring the relationships between oral sensory physiology and oral processing with mid infrared spectra of saliva

Ni, Dongdong, Smyth, Heather E., Gidley, Michael J. and Cozzolino, Daniel (2021). Exploring the relationships between oral sensory physiology and oral processing with mid infrared spectra of saliva. Food Hydrocolloids, 120 106896, 106896. doi: 10.1016/j.foodhyd.2021.106896

Exploring the relationships between oral sensory physiology and oral processing with mid infrared spectra of saliva

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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