A5040800716- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Meat and Animal Product Quality
- Spectroscopy Techniques in Biomedical and Chemical Research
- Identification and Quantification in Food
- Water Quality Monitoring and Analysis
- Sensory Analysis and Statistical Methods
- Animal Nutrition and Physiology
- Bee Products Chemical Analysis
- Analytical Chemistry and Chromatography
- Listeria monocytogenes in Food Safety
- Insect and Pesticide Research
- Biochemical Analysis and Sensing Techniques
- Remote-Sensing Image Classification
- Dental Erosion and Treatment
- Food Quality and Safety Studies
- Essential Oils and Antimicrobial Activity
- Fatty Acid Research and Health
- Phytochemicals and Antioxidant Activities
- Glycosylation and Glycoproteins Research
- Animal Behavior and Welfare Studies
- Metabolomics and Mass Spectrometry Studies
- Endodontics and Root Canal Treatments
- Isotope Analysis in Ecology
- Big Data and Business Intelligence
AgResearch
2016-2025
Massey University
2021-2024
Universidade de São Paulo
2003-2023
Marquette University
2023
University of Otago
2020-2021
The Dodd-Walls Centre for Photonic and Quantum Technologies
2020-2021
Universidade Federal de Rondônia
2007
Polymat
2005
University of the Basque Country
2005
Universidade Federal de Santa Catarina
2004
This paper provides a comprehensive analysis of the performance hyperspectral imaging for detecting adulteration in red-meat products. A dataset line-scanning images lamb, beef, or pork muscles was collected taking into account state meat (fresh, frozen, thawed, and packing unpacking sample with transparent bag). For simulating problem, were defined as either class lamb beef pork. We investigated handcrafted spectral spatial features by using support vector machines (SVM) model...
Coffee is a target for geographical origin fraud. More rapid, cost-effective, and sustainable traceability solutions are needed. The potential of hyperspectral imaging-near-infrared (HSI-NIR) advanced machine learning models rapid non-destructive classification coffee was explored the first time (i) to understand sensitivity HSI-NIR across various scales (continental, country, regional), (ii) identify discriminant wavelength regions. analysis conducted on green beans from three continents,...
Weeds can be major environmental and economic burdens in New Zealand. Traditional methods of weed control including manual chemical approaches time consuming costly. Some herbicides may have negative human health impacts. One the proposed important steps for providing alternatives to these traditional is automated identification mapping weeds. We used hyperspectral imaging data machine learning explore possibility fast, accurate discrimination weeds pastures where ryegrass clovers are sown...
This study investigated the feasibility of using hyperspectral imaging (HSI) to characterize diffusion acid and water within food structures during gastric digestion. Two different sweet potatoes (steamed fried) egg white gel (pH5 pH9 EWGs) were exposed in vitro digestion before scanning by HSI. Afterward, moisture or present digested sample was analyzed for calibration purposes. Calibration models subsequently built partial least-squares (PLS). The PLS indicated that full-wavelength...
The potential of using rapid and non-destructive near-infrared - hyperspectral imaging (HSI-NIR) for the prediction an integrated stable isotope multi-element dataset was explored first time with help support vector regression. Speciality green coffee beans sourced from three continents, eight countries, 22 regions were analysed a push-broom HSI-NIR (700-1700 nm), together five ratios (δ
Despite various direct transmethylation methods having been published and applied to analysis of meat fatty acid (FA) composition, there are still conflicting ideas about the best method for overcoming all difficulties posed by complex mixtures FA in meat. This study performed a systematic investigation factors affecting one-step quantitative acids freeze-dried animal tissue. Approximately 280 reactions, selected using factorial design, were investigate effect temperature, reaction time,...
Summary Germination of Bacillus cereus spores followed by growth and replication the vegetative cells in food can result poisoning therefore significant economic health impacts. This study explores a novel approach to detect differentiate germinated B . using hyperspectral imaging (HSI) combination with machine learning three different germination triggers. HSI could successfully between dormant spores, structural controls (non‐spores). The spectral data visible‐near‐infrared range are...