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Associate Professor Daniel Cozzolino
Associate Professor

Daniel Cozzolino

Email: 
Phone: 
+61 7 336 52144

Overview

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

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).

Works

Search Professor Daniel Cozzolino’s works on UQ eSpace

447 works between 1996 and 2025

41 - 60 of 447 works

2024

Journal Article

Detection of low-level fentanyl concentrations in mixtures of cocaine, MDMA, methamphetamine, and caffeine via surface-enhanced Raman spectroscopy

Muneer, Saiqa, Smith, Matthew, Bazley, Mikaela M., Cozzolino, Daniel and Blanchfield, Joanne T. (2024). Detection of low-level fentanyl concentrations in mixtures of cocaine, MDMA, methamphetamine, and caffeine via surface-enhanced Raman spectroscopy. Journal of Forensic Sciences, 70 (1), 73-83. doi: 10.1111/1556-4029.15652

Detection of low-level fentanyl concentrations in mixtures of cocaine, MDMA, methamphetamine, and caffeine via surface-enhanced Raman spectroscopy

2023

Book Chapter

Environmental forensics

Kolobaric, A., Cozzolino, D. and Chapman, J. (2023). Environmental forensics. Chemometric methods in forensic science. (pp. 254-293) edited by Vishal Sharma, Georgina Sauzier and Simon W. Lewis. London, United Kingdom: Royal Society of Chemistry. doi: 10.1039/bk9781839166099-00254

Environmental forensics

2023

Journal Article

Phenolics and spectroscopy: challenges and successful stories in the grape and wine industry

Cozzolino, Daniel (2023). Phenolics and spectroscopy: challenges and successful stories in the grape and wine industry. Journal of the Science of Food and Agriculture, 105 (3), 1408-1412. doi: 10.1002/jsfa.13173

Phenolics and spectroscopy: challenges and successful stories in the grape and wine industry

2023

Conference Publication

Phenolic compounds of Burdekin plum during fruit leather processing and storage

Chen, Gengning, Sultanbawa, Yasmina, Netzel, Michael E., Cozzolino, Daniel, Olarte Mantilla, Sandra Milena and Sivakumaran, Dharini (2023). Phenolic compounds of Burdekin plum during fruit leather processing and storage. Queensland Annual Chemistry Symposium (QACS), Brisbane, QLD, Australia, 24 November 2023.

Phenolic compounds of Burdekin plum during fruit leather processing and storage

2023

Journal Article

Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts

Cozzolino, D., Zhang, S., Khole, A., Yang, Z., Ingle, P., Beya, M., van Jaarsveld, P. F., Bureš, D. and Hoffman, L. C. (2023). Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts. Journal of Food Science and Technology, 61 (5), 950-957. doi: 10.1007/s13197-023-05890-1

Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts

2023

Journal Article

The use of a droplet collar accessory attached to a portable near infrared instrument to identify methanol contamination in whisky

Kolobaric, Adam, Orrell-Trigg, Rebecca, Orloff, Seth, Fraser, Vanessa, Chapman, James and Cozzolino, Daniel (2023). The use of a droplet collar accessory attached to a portable near infrared instrument to identify methanol contamination in whisky. Sensors, 23 (21) 8969, 1-10. doi: 10.3390/s23218969

The use of a droplet collar accessory attached to a portable near infrared instrument to identify methanol contamination in whisky

2023

Journal Article

Determination of glucosinolates in broccoli (Brassica oleracea var. italica) by combining mid‐infrared (MIR) spectroscopy with chemometrics

Ali Redha, Ali, Langston, Faye, Nash, Geoffrey R., Bows, John R., Torquati, Luciana, Gidley, Michael J. and Cozzolino, Daniel (2023). Determination of glucosinolates in broccoli (Brassica oleracea var. italica) by combining mid‐infrared (MIR) spectroscopy with chemometrics. International Journal of Food Science and Technology, 58 (11), 5679-5688. doi: 10.1111/ijfs.16664

Determination of glucosinolates in broccoli (Brassica oleracea var. italica) by combining mid‐infrared (MIR) spectroscopy with chemometrics

2023

Conference Publication

The ability of near infrared spectroscopy to measure volatile compounds in pig feed ingredients

Navarro, M., Cozzolino, D., Taylor, S., Müller, M., Pascal, N., Tedo, G., Ibanez, C. and Roura, E. (2023). The ability of near infrared spectroscopy to measure volatile compounds in pig feed ingredients. Manipulating Pig Production XIX, Brisbane, QLD Australia, 13-16 November 2023. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.anscip.2023.09.070

The ability of near infrared spectroscopy to measure volatile compounds in pig feed ingredients

2023

Conference Publication

Mid-infrared spectroscopy can identify changes in plasma profiles associated with dietary interventions: Untargeted omic screening

Cozzolino, D., Navarro, M., Taylor, S., Ibanez, C., Pascal, N., Tedo, G., Müller, M. and Roura, E. (2023). Mid-infrared spectroscopy can identify changes in plasma profiles associated with dietary interventions: Untargeted omic screening. Manipulating Pig Production XIX, Brisbane, QLD Australia, 13-16 November 2023. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.anscip.2023.09.074

Mid-infrared spectroscopy can identify changes in plasma profiles associated with dietary interventions: Untargeted omic screening

2023

Journal Article

Qualitative analysis of broccoli (Brassica oleracea var. italica) glucosinolates: Investigating the use of mid-infrared spectroscopy combined with chemometrics

Langston, Faye, Redha, Ali Ali, Nash, Geoffrey R., Bows, John R., Torquati, Luciana, Gidley, Michael J. and Cozzolino, Daniel (2023). Qualitative analysis of broccoli (Brassica oleracea var. italica) glucosinolates: Investigating the use of mid-infrared spectroscopy combined with chemometrics. Journal of Food Composition and Analysis, 123 105532, 1-9. doi: 10.1016/j.jfca.2023.105532

Qualitative analysis of broccoli (Brassica oleracea var. italica) glucosinolates: Investigating the use of mid-infrared spectroscopy combined with chemometrics

2023

Journal Article

An overview of pre-processing methods available for hyperspectral imaging applications

Cozzolino, D., Williams, P. J. and Hoffman, L. C. (2023). An overview of pre-processing methods available for hyperspectral imaging applications. Microchemical Journal, 193 109129, 1-5. doi: 10.1016/j.microc.2023.109129

An overview of pre-processing methods available for hyperspectral imaging applications

2023

Conference Publication

Assessing the quality of Burdekin plum (Pleiogynium timoriense) during postharvest storage

Chen, Gengning, Cozzolino, Daniel, Netzel, Michael, Olarte Mantilla, Sandra and Sultanbawa, Yasmina (2023). Assessing the quality of Burdekin plum (Pleiogynium timoriense) during postharvest storage. Key Technologies in the Bioeconomy: A Global Bioeconomy Alliance Conference, St. Lucia, QLD, Australia, 27-29 September 2023.

Assessing the quality of Burdekin plum (Pleiogynium timoriense) during postharvest storage

2023

Journal Article

Using mid infrared spectroscopy combined with chemometrics to determine digested starch and maltose concentration during in‐vitro digestion of starches

Visnupriyan, Ramanah, Flanagan, Bernadine, Harper, Karen and Cozzolino, Daniel (2023). Using mid infrared spectroscopy combined with chemometrics to determine digested starch and maltose concentration during in‐vitro digestion of starches. International Journal of Food Science and Technology, 58 (9), 4675-4682. doi: 10.1111/ijfs.16573

Using mid infrared spectroscopy combined with chemometrics to determine digested starch and maltose concentration during in‐vitro digestion of starches

2023

Journal Article

The ability of near-infrared spectroscopy to discriminate plant protein mixtures: a preliminary study

Dayananda, Buddhi, Chahwala, Priyam and Cozzolino, Daniel (2023). The ability of near-infrared spectroscopy to discriminate plant protein mixtures: a preliminary study. AppliedChem, 3 (3), 428-436. doi: 10.3390/appliedchem3030027

The ability of near-infrared spectroscopy to discriminate plant protein mixtures: a preliminary study

2023

Journal Article

Advantages and limitations of using near infrared spectroscopy in plant phenomics applications

Cozzolino, Daniel (2023). Advantages and limitations of using near infrared spectroscopy in plant phenomics applications. Computers and Electronics in Agriculture, 212 108078. doi: 10.1016/j.compag.2023.108078

Advantages and limitations of using near infrared spectroscopy in plant phenomics applications

2023

Journal Article

Advances, limitations, and considerations on the use of vibrational spectroscopy towards the development of management decision tools in food safety

Cozzolino, Daniel and Chapman, James (2023). Advances, limitations, and considerations on the use of vibrational spectroscopy towards the development of management decision tools in food safety. Analytical and Bioanalytical Chemistry, 416 (3), 611-620. doi: 10.1007/s00216-023-04849-7

Advances, limitations, and considerations on the use of vibrational spectroscopy towards the development of management decision tools in food safety

2023

Journal Article

Near infrared spectroscopy for prediction of yeast and mould counts in black soldier fly larvae, feed and frass: a proof of concept

Alagappan, Shanmugam, Dong, Anran, Mikkelsen, Deirdre, Hoffman, Louwrens C., Mantilla, Sandra Milena Olarte, James, Peter, Yarger, Olympia and Cozzolino, Daniel (2023). Near infrared spectroscopy for prediction of yeast and mould counts in black soldier fly larvae, feed and frass: a proof of concept. Sensors, 23 (15) 6946, 1-13. doi: 10.3390/s23156946

Near infrared spectroscopy for prediction of yeast and mould counts in black soldier fly larvae, feed and frass: a proof of concept

2023

Book Chapter

Cereals, pseudocereals, flour, and bakery products

Cozzolino, Daniel (2023). Cereals, pseudocereals, flour, and bakery products. Emerging food authentication methodologies using GC/MS. (pp. 47-63) edited by Kristian Pastor. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-30288-6_3

Cereals, pseudocereals, flour, and bakery products

2023

Journal Article

Non-destructive prediction of total phenolics and antioxidants in hulled and naked oat genotypes with near-infrared spectroscopy

Meenu, Maninder, Cozzolino, Daniel and Xu, Baojun (2023). Non-destructive prediction of total phenolics and antioxidants in hulled and naked oat genotypes with near-infrared spectroscopy. Journal of Food Measurement and Characterization, 17 (5), 4893-4904. doi: 10.1007/s11694-023-02009-0

Non-destructive prediction of total phenolics and antioxidants in hulled and naked oat genotypes with near-infrared spectroscopy

2023

Journal Article

Discrimination of lamb (Ovis aries), emu (Dromaius novaehollandiae), camel (Camelus dromedarius) and beef (Bos taurus) binary mixtures using a portable near infrared instrument combined with chemometrics

Hoffman, L., Ingle, P., Hemant Khole, A., Zhang, S., Yang, Z., Beya, M., Bureš, D. and Cozzolino, D. (2023). Discrimination of lamb (Ovis aries), emu (Dromaius novaehollandiae), camel (Camelus dromedarius) and beef (Bos taurus) binary mixtures using a portable near infrared instrument combined with chemometrics. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 294 122506, 1-8. doi: 10.1016/j.saa.2023.122506

Discrimination of lamb (Ovis aries), emu (Dromaius novaehollandiae), camel (Camelus dromedarius) and beef (Bos taurus) binary mixtures using a portable near infrared instrument combined with chemometrics

Funding

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

Supervision

Availability

Associate Professor Daniel Cozzolino is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Media

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

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au