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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

181 - 200 of 454 works

2020

Journal Article

Monitoring thermal treatments applied to meat using traditional methods and spectroscopic techniques: a review of advances over the last decade

Hassoun, Abdo, Ait-Kaddour, Abderrahmane, Sahar, Amna and Cozzolino, Daniel (2020). Monitoring thermal treatments applied to meat using traditional methods and spectroscopic techniques: a review of advances over the last decade. Food and Bioprocess Technology, 14 (2), 195-208. doi: 10.1007/s11947-020-02510-0

Monitoring thermal treatments applied to meat using traditional methods and spectroscopic techniques: a review of advances over the last decade

2020

Journal Article

The sample, the spectra and the maths—the critical pillars in the development of robust and sound applications of vibrational spectroscopy

Cozzolino, Daniel (2020). The sample, the spectra and the maths—the critical pillars in the development of robust and sound applications of vibrational spectroscopy. Molecules, 25 (16) 3674, 3674. doi: 10.3390/molecules25163674

The sample, the spectra and the maths—the critical pillars in the development of robust and sound applications of vibrational spectroscopy

2020

Journal Article

Fraud in animal origin food products: advances in emerging spectroscopic detection methods over the past five years

Hassoun, Abdo, Måge, Ingrid, Schmidt, Walter F., Temiz, Havva Tümay, Li, Li, Kim, Hae-Yeong, Nilsen, Heidi, Biancolillo, Alessandra, Aït-Kaddour, Abderrahmane, Sikorski, Marek, Sikorska, Ewa, Grassi, Silvia and Cozzolino, Daniel (2020). Fraud in animal origin food products: advances in emerging spectroscopic detection methods over the past five years. Foods, 9 (8) 1069, 1069. doi: 10.3390/foods9081069

Fraud in animal origin food products: advances in emerging spectroscopic detection methods over the past five years

2020

Journal Article

A brief history of whiskey adulteration and the role of spectroscopy combined with chemometrics in the detection of modern whiskey fraud

Power, Aoife C., Néill, Caoimhe Ní, Geoghegan, Sive, Currivan, Sinéad, Deasy, Mary and Cozzolino, Daniel (2020). A brief history of whiskey adulteration and the role of spectroscopy combined with chemometrics in the detection of modern whiskey fraud. Beverages, 6 (3) 49, 49-13. doi: 10.3390/beverages6030049

A brief history of whiskey adulteration and the role of spectroscopy combined with chemometrics in the detection of modern whiskey fraud

2020

Journal Article

Light at the museum – A near impossible result

Power, AC, Ingleby, S, Chapman, J and Cozzolino, D (2020). Light at the museum – A near impossible result. NIR news, 31 (5-6), 15-18. doi: 10.1177/0960336020944000

Light at the museum – A near impossible result

2020

Journal Article

Rapid measurement of microplastic contamination in chicken meat by mid infrared spectroscopy and chemometrics: a feasibility study

Huang, Yichao, Chapman, James, Deng, Yongfeng and Cozzolino, Daniel (2020). Rapid measurement of microplastic contamination in chicken meat by mid infrared spectroscopy and chemometrics: a feasibility study. Food Control, 113 107187, 107187. doi: 10.1016/j.foodcont.2020.107187

Rapid measurement of microplastic contamination in chicken meat by mid infrared spectroscopy and chemometrics: a feasibility study

2020

Journal Article

How fishy is your fish? Authentication, provenance and traceability in fish and seafood by means of vibrational spectroscopy

Power, Aoife and Cozzolino, Daniel (2020). How fishy is your fish? Authentication, provenance and traceability in fish and seafood by means of vibrational spectroscopy. Applied Sciences, 10 (12) 4150, 1-13. doi: 10.3390/APP10124150

How fishy is your fish? Authentication, provenance and traceability in fish and seafood by means of vibrational spectroscopy

2020

Journal Article

A mid infrared (MIR) spectroscopy study of the composition of edible Australian green ants (Oecophylla smaragdina)—a qualitative study

Olarte Mantilla, Sandra M., Alagappan, Shanmugam, Sultanbawa, Yasmina, Smyth, Heather E. and Cozzolino, Daniel (2020). A mid infrared (MIR) spectroscopy study of the composition of edible Australian green ants (Oecophylla smaragdina)—a qualitative study. Food Analytical Methods, 13 (8), 1627-1633. doi: 10.1007/s12161-020-01783-7

A mid infrared (MIR) spectroscopy study of the composition of edible Australian green ants (Oecophylla smaragdina)—a qualitative study

2020

Journal Article

A practical approach on the combination of GC-MS and chemometric tools to study Australian edible green ants

Olarte Mantilla, Sandra M., Alagappan, Shanmugam, Chaliha, Mridusmita, Sultanbawa, Yasmina, Smyth, Heather and Cozzolino, Daniel (2020). A practical approach on the combination of GC-MS and chemometric tools to study Australian edible green ants. Food Analytical Methods, 13 (7), 1475-1481. doi: 10.1007/s12161-020-01768-6

A practical approach on the combination of GC-MS and chemometric tools to study Australian edible green ants

2020

Journal Article

Combining chemometrics and sensors: toward new applications in monitoring and environmental analysis

Chapman, James, Truong, Vi Khanh, Elbourne, Aaron, Gangadoo, Sheeana, Cheeseman, Samuel, Rajapaksha, Piumie, Latham, Kay, Crawford, Russell J. and Cozzolino, Daniel (2020). Combining chemometrics and sensors: toward new applications in monitoring and environmental analysis. Chemical Reviews, 120 (13) acs.chemrev.9b00616, 6048-6069. doi: 10.1021/acs.chemrev.9b00616

Combining chemometrics and sensors: toward new applications in monitoring and environmental analysis

2020

Journal Article

Antimicrobial metal nanomaterials: From passive to stimuli-activated applications

Cheeseman, Samuel, Christofferson, Andrew J., Kariuki, Rashad, Cozzolino, Daniel, Daeneke, Torben, Crawford, Russell J., Truong, Vi Khanh, Chapman, James and Elbourne, Aaron (2020). Antimicrobial metal nanomaterials: From passive to stimuli-activated applications. Advanced Science, 7 (10) 1902913, 1902913. doi: 10.1002/advs.201902913

Antimicrobial metal nanomaterials: From passive to stimuli-activated applications

2020

Journal Article

Shining light into meat – a review on the recent advances in in vivo and carcass applications of near infrared spectroscopy

Chapman, James, Elbourne, Aaron, Truong, Vi Khanh and Cozzolino, Daniel (2020). Shining light into meat – a review on the recent advances in in vivo and carcass applications of near infrared spectroscopy. International Journal of Food Science and Technology, 55 (3), 935-941. doi: 10.1111/ijfs.14367

Shining light into meat – a review on the recent advances in in vivo and carcass applications of near infrared spectroscopy

2020

Journal Article

Sensing the addition of vegetable oils to olive oil: the ability of UV–VIS and MIR spectroscopy coupled with chemometric analysis

Didham, Michael, Truong, Vi Khanh, Chapman, James and Cozzolino, Daniel (2020). Sensing the addition of vegetable oils to olive oil: the ability of UV–VIS and MIR spectroscopy coupled with chemometric analysis. Food Analytical Methods, 13 (3), 601-607. doi: 10.1007/s12161-019-01680-8

Sensing the addition of vegetable oils to olive oil: the ability of UV–VIS and MIR spectroscopy coupled with chemometric analysis

2020

Journal Article

The use of two-dimensional spectroscopy to interpret the effect of temperature on the near infrared spectra of whisky

Joshi, Ishita, Truong, Vi Khanh, Chapman, J. and Cozzolino, D. (2020). The use of two-dimensional spectroscopy to interpret the effect of temperature on the near infrared spectra of whisky. Journal of Near Infrared Spectroscopy, 28 (3), 096703352090537-152. doi: 10.1177/0967033520905375

The use of two-dimensional spectroscopy to interpret the effect of temperature on the near infrared spectra of whisky

2020

Journal Article

The use of derivatives and chemometrics to interrogate the UV–Visible spectra of gin samples to monitor changes related to storage

Govindaraj, Nivetha, Gangadoo, Sheeana, Truong, Vi Khanh, Chapman, James, Gill, Harsharn and Cozzolino, Daniel (2020). The use of derivatives and chemometrics to interrogate the UV–Visible spectra of gin samples to monitor changes related to storage. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 227 117548, 117548. doi: 10.1016/j.saa.2019.117548

The use of derivatives and chemometrics to interrogate the UV–Visible spectra of gin samples to monitor changes related to storage

2020

Journal Article

Using a novel PLS approach for envirotyping of barley phenology and adaptation

Porker, K., Coventry, S., Fettell, N. A., Cozzolino, D. and Eglinton, J. (2020). Using a novel PLS approach for envirotyping of barley phenology and adaptation. Field Crops Research, 246 107697, 1-11. doi: 10.1016/j.fcr.2019.107697

Using a novel PLS approach for envirotyping of barley phenology and adaptation

2020

Journal Article

Antibacterial liquid metals: biofilm treatment via magnetic activation

Elbourne, Aaron, Cheeseman, Samuel, Atkin, Paul, Truong, Nghia P., Syed, Nitu, Zavabeti, Ali, Mohiuddin, Md, Esrafilzadeh, Dorna, Cozzolino, Daniel, McConville, Chris F., Dickey, Michael D., Crawford, Russell J., Kalantar-Zadeh, Kourosh, Chapman, James, Daeneke, Torben and Truong, Vi Khanh (2020). Antibacterial liquid metals: biofilm treatment via magnetic activation. ACS Nano, 14 (1), 802-817. doi: 10.1021/acsnano.9b07861

Antibacterial liquid metals: biofilm treatment via magnetic activation

2020

Journal Article

ATR-MIR spectroscopy predicts total phenolics and colour for extracts produced by microwave-assisted or conventional thermal extraction methods applied separately to mixtures of grape skins from white or red commercial cultivars

Kwiatkowski, Mariola, Cozzolino, Daniel and Taylor, Dennis K. (2020). ATR-MIR spectroscopy predicts total phenolics and colour for extracts produced by microwave-assisted or conventional thermal extraction methods applied separately to mixtures of grape skins from white or red commercial cultivars. Food Analytical Methods, 13 (4), 872-884. doi: 10.1007/s12161-020-01702-w

ATR-MIR spectroscopy predicts total phenolics and colour for extracts produced by microwave-assisted or conventional thermal extraction methods applied separately to mixtures of grape skins from white or red commercial cultivars

2020

Journal Article

Application of infrared spectroscopy techniques for the assessment of quality and safety in spices: a review

Kaavya, R., Pandiselvam, R., Mohammed, Mahadhir, Dakshayani, R., Kothakota, Anjineyulu, Ramesh, S. V., Cozzolino, Daniel and Ashokkumar, C. (2020). Application of infrared spectroscopy techniques for the assessment of quality and safety in spices: a review. Applied Spectroscopy Reviews, 55 (7), 1-19. doi: 10.1080/05704928.2020.1713801

Application of infrared spectroscopy techniques for the assessment of quality and safety in spices: a review

2020

Journal Article

Facile route of fabricating long-term microbicidal silver nanoparticle clusters against shiga toxin-producing Escherichia coli O157:H7 and Candida auris

Gangadoo, Sheeana, Elbourne, Aaron, Medvedev, Alexander E., Cozzolino, Daniel, Truong, Yen B., Crawford, Russell J., Wang, Peng-Yuan, Truong, Vi Khanh and Chapman, James (2020). Facile route of fabricating long-term microbicidal silver nanoparticle clusters against shiga toxin-producing Escherichia coli O157:H7 and Candida auris. Coatings, 10 (1) 28, 28. doi: 10.3390/coatings10010028

Facile route of fabricating long-term microbicidal silver nanoparticle clusters against shiga toxin-producing Escherichia coli O157:H7 and Candida auris

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