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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

454 works between 1996 and 2025

141 - 160 of 454 works

2021

Journal Article

The effect of maturity and tissue on the ability of mid infrared spectroscopy to predict the geographical origin of banana (Musa Cavendish)

Zhang, Long, Huang, Yichao, Sun, Fengjiang, Chen, Da, Netzel, Michael, Smyth, Heather E., Sultanbawa, Yasmina, Deng, Yongfeng, Fang, Mingliang and Cozzolino, Daniel (2021). The effect of maturity and tissue on the ability of mid infrared spectroscopy to predict the geographical origin of banana (Musa Cavendish). International Journal of Food Science and Technology, 56 (6), 2621-2627. doi: 10.1111/ijfs.14960

The effect of maturity and tissue on the ability of mid infrared spectroscopy to predict the geographical origin of banana (Musa Cavendish)

2021

Journal Article

Influence of fat concentration on the volatile production in model whey protein systems as affected by low frequency ultrasound

Bui, Anh Thi Hong, Cozzolino, Daniel, Zisu, Bogdan and Chandrapala, Jayani (2021). Influence of fat concentration on the volatile production in model whey protein systems as affected by low frequency ultrasound. Food and Bioprocess Technology, 14 (6), 1169-1183. doi: 10.1007/s11947-021-02619-w

Influence of fat concentration on the volatile production in model whey protein systems as affected by low frequency ultrasound

2021

Journal Article

Inorganic nanoparticles as food additives and their influence on the human gut microbiota

Gangadoo, Sheeana, Nguyen, Huu, Rajapaksha, Piumie, Zreiqat, Hala, Latham, Kay, Cozzolino, Daniel, Chapman, James and Truong, Vi Khanh (2021). Inorganic nanoparticles as food additives and their influence on the human gut microbiota. Environmental Science: Nano, 8 (6), 1500-1518. doi: 10.1039/d1en00025j

Inorganic nanoparticles as food additives and their influence on the human gut microbiota

2021

Journal Article

Infrared analysis of ultrasound treated milk systems with different levels of caseins, whey proteins and fat

Hong Bui, Anh Thi, Cozzolino, Daniel, Zisu, Bogdan and Chandrapala, Jayani (2021). Infrared analysis of ultrasound treated milk systems with different levels of caseins, whey proteins and fat. International Dairy Journal, 117 104983, 1-11. doi: 10.1016/j.idairyj.2021.104983

Infrared analysis of ultrasound treated milk systems with different levels of caseins, whey proteins and fat

2021

Journal Article

Editorial special issue food traceability and security

Cozzolino, Daniel (2021). Editorial special issue food traceability and security. International Journal of Food Science and Technology, 56 (6), 2579-2579. doi: 10.1111/ijfs.15050

Editorial special issue food traceability and security

2021

Journal Article

Application of spectroscopic techniques to evaluate heat treatments in milk and dairy products: an overview of the last decade

Aït-Kaddour, Abderrahmane, Hassoun, Abdo, Bord, Cécile, Schmidt-Filgueras, Renata, Biancolillo, Alessandra, Di Donato, Francesca, Temiz, Havva Tümay and Cozzolino, Daniel (2021). Application of spectroscopic techniques to evaluate heat treatments in milk and dairy products: an overview of the last decade. Food and Bioprocess Technology, 14 (5), 781-803. doi: 10.1007/s11947-021-02607-0

Application of spectroscopic techniques to evaluate heat treatments in milk and dairy products: an overview of the last decade

2021

Journal Article

Towards personalised saliva spectral fingerprints: comparison of mid infrared spectra of dried and whole saliva samples

Ni, Dongdong, Smyth, Heather E., Gidley, Michael J. and Cozzolino, Daniel (2021). Towards personalised saliva spectral fingerprints: comparison of mid infrared spectra of dried and whole saliva samples. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 253 119569, 119569. doi: 10.1016/j.saa.2021.119569

Towards personalised saliva spectral fingerprints: comparison of mid infrared spectra of dried and whole saliva samples

2021

Journal Article

Measurement of total soluble solids and moisture in puree and dry powder of Kakadu plum (Terminalia ferdinanadiana) samples using hand-held near infrared spectroscopy

Bobasa, Eshetu M., Netzel, Michael E., Cozzolino, Daniel, Phan, Anh Dao Thi and Sultanbawa, Yasmina (2021). Measurement of total soluble solids and moisture in puree and dry powder of Kakadu plum (Terminalia ferdinanadiana) samples using hand-held near infrared spectroscopy. Journal of Near Infrared Spectroscopy, 29 (4), 096703352098236-206. doi: 10.1177/0967033520982361

Measurement of total soluble solids and moisture in puree and dry powder of Kakadu plum (Terminalia ferdinanadiana) samples using hand-held near infrared spectroscopy

2021

Journal Article

Can infrared spectroscopy detect adulteration of Kakadu Plum (Terminalia ferdinandiana) dry powder with synthetic ascorbic acid?

Cozzolino, Daniel, Phan, Anh Dao T., Aker, Saleha, Smyth, Heather E. and Sultanbawa, Yasmina (2021). Can infrared spectroscopy detect adulteration of Kakadu Plum (Terminalia ferdinandiana) dry powder with synthetic ascorbic acid?. Food Analytical Methods, 14 (9), 1936-1942. doi: 10.1007/s12161-021-02031-2

Can infrared spectroscopy detect adulteration of Kakadu Plum (Terminalia ferdinandiana) dry powder with synthetic ascorbic acid?

2021

Journal Article

Recent applications of vibrational spectroscopic techniques in the grain industry

Pandiselvam, R., Sruthi, N. U., Kumar, Ankit, Kothakota, Anjineyulu, Thirumdas, Rohit, Ramesh, S. V. and Cozzolino, Daniel (2021). Recent applications of vibrational spectroscopic techniques in the grain industry. Food Reviews International, 39 (1), 1-31. doi: 10.1080/87559129.2021.1904253

Recent applications of vibrational spectroscopic techniques in the grain industry

2021

Journal Article

A high-throughput and machine learning resistance monitoring system to determine the point of resistance for Escherichia coli with tetracycline: combining UV-visible spectrophotometry with principal component analysis

Chapman, James, Orrell-Trigg, Rebecca, Kwoon, Ki Y., Truong, Vi K. and Cozzolino, Daniel (2021). A high-throughput and machine learning resistance monitoring system to determine the point of resistance for Escherichia coli with tetracycline: combining UV-visible spectrophotometry with principal component analysis. Biotechnology and Bioengineering, 118 (4), 1511-1519. doi: 10.1002/bit.27664

A high-throughput and machine learning resistance monitoring system to determine the point of resistance for Escherichia coli with tetracycline: combining UV-visible spectrophotometry with principal component analysis

2021

Journal Article

Mid-infrared spectroscopy as a rapid tool to qualitatively predict the effects of species, regions and roasting on the nutritional composition of Australian Acacia seed species

Adiamo, Oladipupo Q., Sultanbawa, Yasmina and Cozzolino, Daniel (2021). Mid-infrared spectroscopy as a rapid tool to qualitatively predict the effects of species, regions and roasting on the nutritional composition of Australian Acacia seed species. Molecules, 26 (7) 1879, 1-9. doi: 10.3390/molecules26071879

Mid-infrared spectroscopy as a rapid tool to qualitatively predict the effects of species, regions and roasting on the nutritional composition of Australian Acacia seed species

2021

Journal Article

High throughput screening to determine the antibacterial activity of Terminalia ferdinandiana (Kakadu plum): A proof of concept

Akter, Saleha, Sultanbawa, Yasmina and Cozzolino, Daniel (2021). High throughput screening to determine the antibacterial activity of Terminalia ferdinandiana (Kakadu plum): A proof of concept. Journal of Microbiological Methods, 182 106169, 1-6. doi: 10.1016/j.mimet.2021.106169

High throughput screening to determine the antibacterial activity of Terminalia ferdinandiana (Kakadu plum): A proof of concept

2021

Journal Article

Monitoring the bacterial response to antibiotic and time growth using near-infrared spectroscopy combined with machine learning

Truong, Vi Khanh, Chapman, James and Cozzolino, Daniel (2021). Monitoring the bacterial response to antibiotic and time growth using near-infrared spectroscopy combined with machine learning. Food Analytical Methods, 14 (7), 1394-1401. doi: 10.1007/s12161-021-01994-6

Monitoring the bacterial response to antibiotic and time growth using near-infrared spectroscopy combined with machine learning

2021

Journal Article

Unlocking the secrets of kernels using near-infrared spectroscopy

Bobasa, Eshetu, Netzel, Michael, Phan, Anh Dao Thi, Smyth, Heather, Sultanbawa, Yasmina and Cozzolino, Daniel (2021). Unlocking the secrets of kernels using near-infrared spectroscopy. Applied Spectroscopy, 75 (7), 1-5. doi: 10.1177/0003702821992136

Unlocking the secrets of kernels using near-infrared spectroscopy

2021

Journal Article

The use of a micro near infrared portable instrument to predict bioactive compounds in a wild harvested fruit—Kakadu plum (Terminalia ferdinandiana)

Bobasa, Eshetu, Phan, Anh Dao T., Netzel, Michael, Smyth, Heather E., Sultanbawa, Yasmina and Cozzolino, Daniel (2021). The use of a micro near infrared portable instrument to predict bioactive compounds in a wild harvested fruit—Kakadu plum (Terminalia ferdinandiana). Sensors, 21 (4) 1413, 1-10. doi: 10.3390/s21041413

The use of a micro near infrared portable instrument to predict bioactive compounds in a wild harvested fruit—Kakadu plum (Terminalia ferdinandiana)

2021

Journal Article

The multiomics analyses of fecal matrix and its significance to coeliac disease gut profiling

Gangadoo, Sheeana, Pathirannahalage, Piumie Rajapaksha, Cheeseman, Samuel, Dang, Yen Thi Hoang, Elbourne, Aaron, Cozzolino, Daniel, Latham, Kay, Truong, Vi Khanh and Chapman, James (2021). The multiomics analyses of fecal matrix and its significance to coeliac disease gut profiling. International Journal of Molecular Sciences, 22 (4) 1965, 1-34. doi: 10.3390/ijms22041965

The multiomics analyses of fecal matrix and its significance to coeliac disease gut profiling

2021

Journal Article

Challenges and opportunities of the fourth revolution: a brief insight into the future of food

Chapman, James, Power, Aoife, Netzel, Michael E., Sultanbawa, Yasmina, Smyth, Heather E., Truong, Vic Khanh and Cozzolino, Daniel (2021). Challenges and opportunities of the fourth revolution: a brief insight into the future of food. Critical Reviews in Food Science and Nutrition, 62 (10), 1-9. doi: 10.1080/10408398.2020.1863328

Challenges and opportunities of the fourth revolution: a brief insight into the future of food

2021

Journal Article

The validity of protein in Australian honey as an internal standard for C4 sugar adulteration

Chowdhury, Sadia A., Carter, James. F., Anuj, Shalona R., Cozzolino, Daniel, Hungerford, Natasha L. and Fletcher, Mary T. (2021). The validity of protein in Australian honey as an internal standard for C4 sugar adulteration. Food Analytical Methods, 14 (4), 823-833. doi: 10.1007/s12161-020-01938-6

The validity of protein in Australian honey as an internal standard for C4 sugar adulteration

2021

Journal Article

Monitoring two different drying methods of Kakadu plum puree by combining infrared and chemometrics analysis

Cozzolino, Daniel, Phan, Anh, Netzel, Michael, Smyth, Heather and Sultanbawa, Yasmina (2021). Monitoring two different drying methods of Kakadu plum puree by combining infrared and chemometrics analysis. CyTA - Journal of Food, 19 (1), 183-189. doi: 10.1080/19476337.2021.1875052

Monitoring two different drying methods of Kakadu plum puree by combining infrared and chemometrics analysis

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 - 2026
    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