Abstract
Fraud detection in meat is a challenging task for researchers, consumers, industries, and regulatory agencies. Traditional approaches for fraud detection are time-consuming, complicated, laborious, and expensive; they require technical skills. Therefore, much effort has been devoted in academia and industry to developing rapid and nondestructive optical techniques for fraud detection in meat. Among them, hyperspectral imaging has gained enormous attention and curiosity throughout the world. Hyperspectral imaging is an emerging analytical technique that combines spectroscopy and imaging in one system to acquire spectra and spatial information from an object simultaneously. Hyperspectral imaging is the only analytical technology that answers commonly asked analytical questions such as what chemical species are in the samples, how much, and most importantly, where they are located. Therefore, the technology will undoubtedly play indispensable roles in research and industry for fraud detection in the coming days.
Highlights
Food fraud or adulteration is an age-old problem
It was difficult to identify the level of adulteration with the naked eye, as shown in the RGB images in Figure 5, the prediction map revealed the change in adulteration from sample to sample. These results indicated that hyperspectral imaging technology is an effective and promising technique to detect adulteration in minced meat
The results suggested that hyperspectral imaging could become a good way for rapid and nondestructive prediction of adulteration in minced meat in the spectral and spatial domain
Summary
Food fraud or adulteration is an age-old problem. It has existed as long as food has been made and sold. Humans have altered the state of food to extend its longevity or improve its taste. Over 1,300 cases of food adulteration have been documented from 1980 to 2010 (Moore et al, 2012), whereas 4,098 incidents of food fraud have been recorded (Figure 1) between 2010 and 2020 (Hellberg et al, 2021). The authors reported only the major incidents. The full scale of adulteration is not well documented because most incidents go undetected or unreported. The occurrence of fraud is not easy to evaluate without using highly sophisticated analytical tools (Ballin and Lametsch, 2008)
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