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)

81 - 100 of 447 works

2022

Journal Article

Holistic approach to effects of foods, human physiology, and psychology on food intake and appetite (satiation & satiety)

Ni, Dongdong, Smyth, Heather E., Cozzolino, Daniel and Gidley, Michael J. (2022). Holistic approach to effects of foods, human physiology, and psychology on food intake and appetite (satiation & satiety). Critical Reviews in Food Science and Nutrition, 64 (12), 1-11. doi: 10.1080/10408398.2022.2134840

Holistic approach to effects of foods, human physiology, and psychology on food intake and appetite (satiation & satiety)

2022

Journal Article

Near-infrared spectroscopy as a feasible method for the differentiation of Neisseria gonorrhoeae from Neisseria commensals and antimicrobial resistant from susceptible gonococcal strains

Alharbi, Bushra, Cozzolino, Daniel, Sikulu-Lord, Maggy, Whiley, David and Trembizki, Ella (2022). Near-infrared spectroscopy as a feasible method for the differentiation of Neisseria gonorrhoeae from Neisseria commensals and antimicrobial resistant from susceptible gonococcal strains. Journal of Microbiological Methods, 201 106576, 106576. doi: 10.1016/j.mimet.2022.106576

Near-infrared spectroscopy as a feasible method for the differentiation of Neisseria gonorrhoeae from Neisseria commensals and antimicrobial resistant from susceptible gonococcal strains

2022

Journal Article

Wastewater depollution of textile dyes and antibiotics using unmodified and copper oxide/zinc oxide nanofunctionalised graphene oxide materials†

Rajapaksha, Piumie, Orrell-Trigg, Rebecca, Truong, Yen B., Cozzolino, Daniel, Truong, Vi Khanh and Chapman, James (2022). Wastewater depollution of textile dyes and antibiotics using unmodified and copper oxide/zinc oxide nanofunctionalised graphene oxide materials†. Environmental Science: Advances, 1 (4), 456-469. doi: 10.1039/d2va00059h

Wastewater depollution of textile dyes and antibiotics using unmodified and copper oxide/zinc oxide nanofunctionalised graphene oxide materials†

2022

Journal Article

Characterisation and identification of individual intact goat muscle samples (Capra sp.) using a portable near-infrared spectrometer and chemometrics

Hoffman, Louwrens C., Ingle, Prasheek, Khole, Ankita Hemant, Zhang, Shuxin, Yang, Zhiyin, Beya, Michel, Bureš, Daniel and Cozzolino, Daniel (2022). Characterisation and identification of individual intact goat muscle samples (Capra sp.) using a portable near-infrared spectrometer and chemometrics. Foods, 11 (18) 2894, 1-8. doi: 10.3390/foods11182894

Characterisation and identification of individual intact goat muscle samples (Capra sp.) using a portable near-infrared spectrometer and chemometrics

2022

Journal Article

Nanozyme-based sensors for detection of food biomarkers: a review

Arshad, Fareeha, Mohd-Naim, Noor Faizah, Chandrawati, Rona, Cozzolino, Daniel and Ahmed, Minhaz Uddin (2022). Nanozyme-based sensors for detection of food biomarkers: a review. RSC Advances, 12 (40), 26160-26175. doi: 10.1039/d2ra04444g

Nanozyme-based sensors for detection of food biomarkers: a review

2022

Journal Article

Influence of blanching on the bioactive compounds of Terminalia ferdinandiana Exell fruit during storage

Bobasa, Eshetu M., Srivarathan, Sukirtha, Phan, Anh Dao Thi, Netzel, Michael E., Cozzolino, Daniel and Sultanbawa, Yasmina (2022). Influence of blanching on the bioactive compounds of Terminalia ferdinandiana Exell fruit during storage. Journal of Food Measurement and Characterization, 17 (1), 1-9. doi: 10.1007/s11694-022-01581-1

Influence of blanching on the bioactive compounds of Terminalia ferdinandiana Exell fruit during storage

2022

Journal Article

Application of near-infrared spectroscopy/artificial neural network to quantify glycosylated norisoprenoids in Tannat grapes

Boido, Eduardo, Fariña, Laura, Carrau, Francisco, Cozzolino, Daniel and Dellacassa, Eduardo (2022). Application of near-infrared spectroscopy/artificial neural network to quantify glycosylated norisoprenoids in Tannat grapes. Food Chemistry, 387 132927, 132927. doi: 10.1016/j.foodchem.2022.132927

Application of near-infrared spectroscopy/artificial neural network to quantify glycosylated norisoprenoids in Tannat grapes

2022

Journal Article

Near infrared spectroscopy as a traceability tool to monitor black soldier fly larvae (Hermetia illucens) intended as animal feed

Alagappan, Shanmugam, Hoffman, Louwrens C., Olarte Mantilla, Sandra M., Mikkelsen, Deirdre, James, Peter, Yarger, Olympia and Cozzolino, Daniel (2022). Near infrared spectroscopy as a traceability tool to monitor black soldier fly larvae (Hermetia illucens) intended as animal feed. Applied Sciences, 12 (16) 8168, 8168. doi: 10.3390/app12168168

Near infrared spectroscopy as a traceability tool to monitor black soldier fly larvae (Hermetia illucens) intended as animal feed

2022

Journal Article

Beyond the Black Box—Practical Considerations on the Use of Chemometrics Combined with Sensing Technologies in Food Science Applications

Dayananda, Buddhi and Cozzolino, Daniel (2022). Beyond the Black Box—Practical Considerations on the Use of Chemometrics Combined with Sensing Technologies in Food Science Applications. Chemosensors, 10 (8) 323, 1-10. doi: 10.3390/chemosensors10080323

Beyond the Black Box—Practical Considerations on the Use of Chemometrics Combined with Sensing Technologies in Food Science Applications

2022

Journal Article

Editorial special issue food bioactive in human health and nutrition

Cozzolino, Daniel (2022). Editorial special issue food bioactive in human health and nutrition. Food Chemistry: Molecular Sciences, 4 100108, 100108. doi: 10.1016/j.fochms.2022.100108

Editorial special issue food bioactive in human health and nutrition

2022

Journal Article

Unscrambling the provenance of eggs by combining chemometrics and near-infrared reflectance spectroscopy

Hoffman, Louwrens Christiaan , Ni, Dongdong , Dayananda, Buddhi , Ghafar, N. Abdul and Cozzolino, Daniel (2022). Unscrambling the provenance of eggs by combining chemometrics and near-infrared reflectance spectroscopy. Sensors, 22 (13) 4988, 4988. doi: 10.3390/s22134988

Unscrambling the provenance of eggs by combining chemometrics and near-infrared reflectance spectroscopy

2022

Journal Article

Inside the egg—demonstrating provenance without the cracking using near infrared spectroscopy

Hoffman, Louw, Ni, Dongdong, Dayananda, Buddhi, AbdulGhafar, Nuratifah and Cozzolino, Daniel (2022). Inside the egg—demonstrating provenance without the cracking using near infrared spectroscopy. Food Analytical Methods, 15 (11), 3013-3019. doi: 10.1007/s12161-022-02348-6

Inside the egg—demonstrating provenance without the cracking using near infrared spectroscopy

2022

Journal Article

Shedding light on human tissue (in vivo) to predict satiation, satiety, and food intake using near infrared reflectance spectroscopy: A preliminary study

Ni, Dongdong, Smyth, Heather E., Gidley, Michael J. and Cozzolino, Daniel (2022). Shedding light on human tissue (in vivo) to predict satiation, satiety, and food intake using near infrared reflectance spectroscopy: A preliminary study. Innovative Food Science and Emerging Technologies, 78 103033, 103033. doi: 10.1016/j.ifset.2022.103033

Shedding light on human tissue (in vivo) to predict satiation, satiety, and food intake using near infrared reflectance spectroscopy: A preliminary study

2022

Journal Article

Analytical characterisation of material corrosion by biofilms

Dang, Yen T. H., Power, Aoife, Cozzolino, Daniel, Dinh, Khuong Ba, Ha, Binh Son, Kolobaric, Adam, Vongsvivut, Jitraporn, Truong, Vi Khanh and Chapman, James (2022). Analytical characterisation of material corrosion by biofilms. Journal of Bio- and Tribo-Corrosion, 8 (2) 50, 1-50. doi: 10.1007/s40735-022-00648-2

Analytical characterisation of material corrosion by biofilms

2022

Journal Article

Contemporary developments and emerging trends in the application of spectroscopy techniques: a particular reference to Coconut (Cocos nucifera L.)

Pandiselvam, Ravi, Kaavya, Rathnakumar, Martinez Monteagudo, Sergio I., Divya, V., Jain, Surangna, Khanashyam, Anandu Chandra, Kothakota, Anjineyulu, Prasath, V. Arun, Ramesh, S. V., Sruthi, N. U., Kumar, Manoj, Manikantan, M. R., Kumar, Chinnaraja Ashok, Khaneghah, Amin Mousavi and Cozzolino, Daniel (2022). Contemporary developments and emerging trends in the application of spectroscopy techniques: a particular reference to Coconut (Cocos nucifera L.). Molecules, 27 (10) 3250, 1-22. doi: 10.3390/molecules27103250

Contemporary developments and emerging trends in the application of spectroscopy techniques: a particular reference to Coconut (Cocos nucifera L.)

2022

Journal Article

Current perspectives for engineering antimicrobial nanostructured materials

Truong, Vi Khanh, Al Kobaisi, Mohammad, Vasilev, Krasimir, Cozzolino, Daniel and Chapman, James (2022). Current perspectives for engineering antimicrobial nanostructured materials. Current Opinion in Biomedical Engineering, 23 100399, 1-8. doi: 10.1016/j.cobme.2022.100399

Current perspectives for engineering antimicrobial nanostructured materials

2022

Journal Article

Integrating effects of human physiology, psychology, and individual variations on satiety: an exploratory study

Ni, Dongdong, Smyth, Heather E., Cozzolino, Daniel and Gidley, Michael J. (2022). Integrating effects of human physiology, psychology, and individual variations on satiety: an exploratory study. Frontiers in Nutrition, 9 872169, 872169. doi: 10.3389/fnut.2022.872169

Integrating effects of human physiology, psychology, and individual variations on satiety: an exploratory study

2022

Journal Article

Partial least squares regression models to predict contaminant concentrations during high or low flow of coal mine-affected rivers

Jones, Catherine E., Vicente-Beckett, Victoria, Chapman, James and Cozzolino, Daniel (2022). Partial least squares regression models to predict contaminant concentrations during high or low flow of coal mine-affected rivers. River Research and Applications, 38 (5), 939-951. doi: 10.1002/rra.3959

Partial least squares regression models to predict contaminant concentrations during high or low flow of coal mine-affected rivers

2022

Journal Article

Editorial: Recent Advances of Near Infrared Applications in Fruits and Byproducts

Hernández-Hierro, José Miguel, Cozzolino, Daniel, Feng, Chao-Hui, Rato, Ana Elisa and Nogales-Bueno, Julio (2022). Editorial: Recent Advances of Near Infrared Applications in Fruits and Byproducts. Frontiers in Plant Science, 13 858040, 858040. doi: 10.3389/fpls.2022.858040

Editorial: Recent Advances of Near Infrared Applications in Fruits and Byproducts

2022

Journal Article

Predicting satiety from the analysis of human saliva using mid-infrared spectroscopy combined with chemometrics

Ni, Dongdong, Smyth, Heather E., Gidley, Michael J. and Cozzolino, Daniel (2022). Predicting satiety from the analysis of human saliva using mid-infrared spectroscopy combined with chemometrics. Foods, 11 (5) 711, 711. doi: 10.3390/foods11050711

Predicting satiety from the analysis of human saliva using mid-infrared spectroscopy combined with chemometrics

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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