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)

21 - 40 of 447 works

2024

Journal Article

Pre-processing applied to instrumental data in analytical chemistry: a brief review of the methods and examples

Dayananda, B., Owen, S., Kolobaric, A., Chapman, J. and Cozzolino, D. (2024). Pre-processing applied to instrumental data in analytical chemistry: a brief review of the methods and examples. Critical Reviews in Analytical Chemistry, 54 (8), 2745-2753. doi: 10.1080/10408347.2023.2199864

Pre-processing applied to instrumental data in analytical chemistry: a brief review of the methods and examples

2024

Journal Article

Food authenticity and the interactions with human health and climate change

Hoffman, Louwrens C., Schreuder, Jana and Cozzolino, Daniel (2024). Food authenticity and the interactions with human health and climate change. Critical Reviews in Food Science and Nutrition, 1-14. doi: 10.1080/10408398.2024.2387329

Food authenticity and the interactions with human health and climate change

2024

Journal Article

The missing link between shelf life and food waste: are infrared sensing technologies underutilised?

Cozzolino, D., Alagappan, S. and Hoffman, L. C. (2024). The missing link between shelf life and food waste: are infrared sensing technologies underutilised?. Trends in Food Science and Technology, 148 104494, 104494. doi: 10.1016/j.tifs.2024.104494

The missing link between shelf life and food waste: are infrared sensing technologies underutilised?

2024

Journal Article

Monitoring compositional changes in black soldier fly larvae after processing (drying and blanching) using near infrared spectroscopy

Cozzolino, D., Alagappan, S., Ochoa, M., Zhang, S., Yarger, O., Hoffman, L.C. and Mikkelsen, D. (2024). Monitoring compositional changes in black soldier fly larvae after processing (drying and blanching) using near infrared spectroscopy. Infrared Physics & Technology, 138 105212, 1-7. doi: 10.1016/j.infrared.2024.105212

Monitoring compositional changes in black soldier fly larvae after processing (drying and blanching) using near infrared spectroscopy

2024

Journal Article

Implications of the storage conditions and production system on the physical properties of eggs: a multivariate data analysis study

Cozzolino, Daniel, Sanal, Pooja, Soumeh, Elham Assadi, Dekkers, Milou Helene, Anderson, Molly, Boisen, Sheree and Hoffman, Louwrens Christiaan (2024). Implications of the storage conditions and production system on the physical properties of eggs: a multivariate data analysis study. International Journal of Food Science and Technology, 59 (5), 3235-3244. doi: 10.1111/ijfs.17069

Implications of the storage conditions and production system on the physical properties of eggs: a multivariate data analysis study

2024

Journal Article

Liver glycogen fragility in the presence of hydrogen-bond breakers

Tan, Xinle, Wang, Ziyi, Cheung, Ut, Hu, Zhenxia, Liu, Qinghua, Wang, Liang, Sullivan, Mitchell A., Cozzolino, Daniel and Gilbert, Robert G. (2024). Liver glycogen fragility in the presence of hydrogen-bond breakers. International Journal of Biological Macromolecules, 268 131741, 131741. doi: 10.1016/j.ijbiomac.2024.131741

Liver glycogen fragility in the presence of hydrogen-bond breakers

2024

Journal Article

Effect of sample presentation on the classification of black soldier fly larvae using near-infrared spectroscopy

Sanchez, C. Mendez, Alagappan, S., Hoffman, L., Yarger, O. and Cozzolino, D. (2024). Effect of sample presentation on the classification of black soldier fly larvae using near-infrared spectroscopy. Applied Sciences, 14 (9) 3841, 3841. doi: 10.3390/app14093841

Effect of sample presentation on the classification of black soldier fly larvae using near-infrared spectroscopy

2024

Journal Article

Physicochemical, antioxidant and microbial stability of Burdekin plum leathers

Chen, Gengning, Olarte Mantilla, Sandra Milena, Netzel, Michael E., Cozzolino, Daniel, Sivakumar, Dharini and Sultanbawa, Yasmina (2024). Physicochemical, antioxidant and microbial stability of Burdekin plum leathers. International Journal of Food Science and Technology, 59 (4), 2716-2726. doi: 10.1111/ijfs.17023

Physicochemical, antioxidant and microbial stability of Burdekin plum leathers

2024

Conference Publication

Burdekin plum fruit leather processing and storage

Chen, Gengning, Sultanbawa, Yasmina, Netzel, Michael, Cozzolino, Daniel, Olarte Mantilla, Sandra and Sivakumar, Dharini (2024). Burdekin plum fruit leather processing and storage. Joint virtual workshop between the Centre for Nutrition and Food Sciences (CNAFS), Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Australia and the Tshwane University of Technology, South Africa, Promoting Health and Food Security with Indigenous Crops, Virtual, 5-6 March 2024.

Burdekin plum fruit leather processing and storage

2024

Journal Article

The ability of a portable near infrared instrument to evaluate the shelf-life of fresh and thawed goat muscles

Cozzolino, D., Wu, W., Zhang, S., Beya, M., van Jaarsveld, P.F. and Hoffman, L.C. (2024). The ability of a portable near infrared instrument to evaluate the shelf-life of fresh and thawed goat muscles. Food Research International, 180 114047, 114047. doi: 10.1016/j.foodres.2024.114047

The ability of a portable near infrared instrument to evaluate the shelf-life of fresh and thawed goat muscles

2024

Journal Article

Finding biomarkers of experience in animals

Babington, Sarah, Tilbrook, Alan J., Maloney, Shane K., Fernandes, Jill N., Crowley, Tamsyn M., Ding, Luoyang, Fox, Archa H., Zhang, Song, Kho, Elise A., Cozzolino, Daniel, Mahony, Timothy J. and Blache, Dominique (2024). Finding biomarkers of experience in animals. Journal of Animal Science and Biotechnology, 15 (1) 28, 1-20. doi: 10.1186/s40104-023-00989-z

Finding biomarkers of experience in animals

2024

Journal Article

Near-infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass

Alagappan, Shanmugam, Hoffman, Louwrens, Mikkelsen, Deirdre, Olarte Mantilla, Sandra, James, Peter, Yarger, Olympia and Cozzolino, Daniel (2024). Near-infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass. Journal of the Science of Food and Agriculture, 104 (3), 1487-1496. doi: 10.1002/jsfa.13044

Near-infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass

2024

Journal Article

Evaluating the use of vibrational spectroscopy to detect the level of adulteration of cricket powder in plant flours: the effect of the matrix

Alagappan, Shanmugam, Ma, Siyu, Nastasi, Joseph Robert, Hoffman, Louwrens C. and Cozzolino, Daniel (2024). Evaluating the use of vibrational spectroscopy to detect the level of adulteration of cricket powder in plant flours: the effect of the matrix. Sensors, 24 (3) 924. doi: 10.3390/s24030924

Evaluating the use of vibrational spectroscopy to detect the level of adulteration of cricket powder in plant flours: the effect of the matrix

2024

Book Chapter

Food adulteration

Cozzolino, Daniel, Dayananda, Buddhi and Chapman, James (2024). Food adulteration. Chemometrics. (pp. 273-291) edited by Fabiano André Narciso Fernandes, Elenilson Godoy Alves Filho and Sueli Rodrigues. Amsterdam, Netherlands: Elsevier. doi: 10.1016/B978-0-443-21493-6.00011-3

Food adulteration

2024

Journal Article

Predicting oil content of Australian beauty leaf tree kernel samples using near infrared spectroscopy combined with chemometrics

Sreekumar, Rahul, Ashwath, Nanjappa, Cozzolino, Daniel and Walsh, Kerry (2024). Predicting oil content of Australian beauty leaf tree kernel samples using near infrared spectroscopy combined with chemometrics. Journal of Near Infrared Spectroscopy, 32 (1-2), 3-9. doi: 10.1177/09670335231225820

Predicting oil content of Australian beauty leaf tree kernel samples using near infrared spectroscopy combined with chemometrics

2024

Journal Article

Predicting egg storage time with a portable near-infrared instrument: effects of temperature and production system

Cozzolino, Daniel, Sanal, Pooja, Schreuder, Jana, Williams, Paul James, Assadi Soumeh, Elham, Dekkers, Milou Helene, Anderson, Molly, Boisen, Sheree and Hoffman, Louwrens Christiaan (2024). Predicting egg storage time with a portable near-infrared instrument: effects of temperature and production system. Foods, 13 (2) 212, 1-11. doi: 10.3390/foods13020212

Predicting egg storage time with a portable near-infrared instrument: effects of temperature and production system

2024

Journal Article

Rapid screening of bacteriostatic and bactericidal antimicrobial agents against Escherichia coli by combining machine learning (artificial intelligence) and UV-VIS spectroscopy

Orrell-Trigg, R., Awad, M., Gangadoo, S., Cheeseman, S., Shaw, Z. L., Truong, V. K., Cozzolino, D. and Chapman, J. (2024). Rapid screening of bacteriostatic and bactericidal antimicrobial agents against Escherichia coli by combining machine learning (artificial intelligence) and UV-VIS spectroscopy. The Analyst, 149 (5), 1597-1608. doi: 10.1039/d3an01608k

Rapid screening of bacteriostatic and bactericidal antimicrobial agents against Escherichia coli by combining machine learning (artificial intelligence) and UV-VIS spectroscopy

2024

Conference Publication

Impact of post-flowering heatwaves on individual grain weight and quality in wheat

Yahya, Muhammad, Ullah, Najeeb, Cozzolino, Daniel, Christopher, Jack, Kuhn, Estelle and Chenu, Karine (2024). Impact of post-flowering heatwaves on individual grain weight and quality in wheat. 21st Australian Agronomy Conference, Albany, WA, Australia, 21-24 October 2024. Albany, WA, Australia: Australian Agronomy Conference.

Impact of post-flowering heatwaves on individual grain weight and quality in wheat

2024

Journal Article

Development of Liquid Chromatography-Mass Spectrometry (LC-MS) method for quantification of broccoli sulforaphane

Ali Redha, Ali, Hong, Hung T., Torquati, Luciana, Nash, Geoffrey R., Gidley, Michael J. and Cozzolino, Daniel (2024). Development of Liquid Chromatography-Mass Spectrometry (LC-MS) method for quantification of broccoli sulforaphane. Food Analytical Methods, 17 (1), 1-6. doi: 10.1007/s12161-023-02544-y

Development of Liquid Chromatography-Mass Spectrometry (LC-MS) method for quantification of broccoli sulforaphane

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

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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