Literature review: spectral imaging applied to poultry products

Abstract

Consumption of poultry products is increasing worldwide, leading to an increased demand for safe, fresh, high-quality products. To ensure consumer safety and meet quality standards, poultry products must be routinely checked for fecal matter, food fraud, microbiological contamination, physical defects, and product quality. However, traditional screening methods are insufficient in providing real-time, nondestructive, chemical and spatial information about poultry products. Novel techniques, such as hyperspectral imaging ( HSI ), are being developed to acquire real-time chemical and spatial information about products without destruction of samples to ensure safety of products and prevent economic losses. This literature review provides a comprehensive overview of HSI applications to poultry products. The studies used for this review were found using the Google Scholar database by searching the following terms and their synonyms: “poultry” and “hyperspectral imaging”. A total of 67 studies were found to meet the criteria. After all relevant literature was compiled, studies were grouped into categories based on the specific material or characteristic of interest to be detected, identified, predicted, or quantified by HSI. Studies were found for each of the following categories: food fraud, fecal matter detection, microbiological contamination, physical defects, and product quality. Key findings and technological advancements were briefly summarized and presented for each category. Since the first application to poultry products 20 yr ago, HSI has been shown to be a successful alternative to traditional screening methods.

Meat 4.0: Principles and Applications of Industry 4.0 Technologies in the Meat Industry

“…Specifically, this methodology has been widely studied in poultry meat since it is an IR 4.0 tool that permits the elimination of faecal material contaminated carcasses [105], thus preventing the proliferation of bacteria such as Salmonella, Campylobacter, and Escherichia coli. Furthermore, in poultry products, microbial contaminations related to foodborne illnesses (such as Enterobacteriaceae, Salmonella, Campylobacter, Escherichia coli, and Pseudomonas) can be predicted with the use of hyperspectral imaging [106][107][108][109][110][111]. In the case of other meat matrices, hyperspectral images have also been employed in order to predict microbial contamination in real time.…”

“…Finally, one of the most common frauds in meat industry is the total or partial substitution of high-value meat by poor meat or offal or by including proteins from various origins to lower costs. On this matter, imaging technologies have been identified as successful tools to determine adulteration in minced beef [124][125][126][127], chicken [106,128], lamb [129], and pork [130]. In general, these technologies (i.e., hyperspectral imaging and laser induced breakdown spectroscopy) made it possible to develop prediction models to determine different percentages of adulteration in meat.…”

Potential for spectral imaging applications on the small farm: a review

“…60 Pork, beef and lamb have also all seen spectral imaging applications developed for similar quality assessing, marbling and myopathy detection, analogous to the poultry industry. [61][62][63][64][65][66] Regarding smaller scale farming, open-source imaging systems have only started to emerge in the past few years. As these systems progress so does the potential for improving quality production in small-scale agriculture.…”

A Review on Computer Vision Technology for Monitoring Poultry Farm—Application, Hardware, and Software

“…Halogen lamps are inflatable incandescent lamps filled with halogen or halide gas [71]. In the wavelength range of visible light to infrared, the emitted light is a smooth, continuous continuum, with no sharp peaks [68]. It also has a luminous efficiency that is greater than conventional bulbs.…”