2018
DOI: 10.1016/j.meatsci.2018.05.020
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Chemometrics and hyperspectral imaging applied to assessment of chemical, textural and structural characteristics of meat

Abstract: Spectroscopy in the visible near-infrared spectral (Vis-NIRS) range combined with imaging techniques (hyperspectral imaging, HSI) allows assessment of chemical composition, texture, and meat structure. The use of HSI in the meat and food industry has observed a significant growth in the last decade, yet its use for assessment of meat it is not optimal yet. The application of HSI for assessment of meat is reviewed with focus on its ability to capture meat unique chemical and structural characteristics. While HS… Show more

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Cited by 58 publications
(14 citation statements)
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“…The entropy is higher when all elements of the co-occurrence matrix are equal and smaller when the elements are different [54]; thus, more homogeneous surfaces are probably the result of the antimicrobial effect of EOs.…”
Section: Image Analysismentioning
confidence: 99%
“…The entropy is higher when all elements of the co-occurrence matrix are equal and smaller when the elements are different [54]; thus, more homogeneous surfaces are probably the result of the antimicrobial effect of EOs.…”
Section: Image Analysismentioning
confidence: 99%
“…External diffuse reflectance captures information about the surface of the sample. In addition, light scattering is due to the interaction of light with the sample [ 17 , 18 ]. The detection of the outgoing photons (as a result of scattering inside of the sample) enables us to identify absorbing/scattering as well as the amount reflected (specular and external diffuse).…”
Section: Introductionmentioning
confidence: 99%
“…These processes are wavelength-dependent, which makes the use of the entire Vis-NIR spectrum a rich source of information about the chemical and structural characteristics of samples. The combination of Vis-NIRS with imaging techniques (hyperspectral imaging—HSI) enables scanning a region of interest (ROI) with a Vis-NIR spectrum being acquired per pixel in that region [ 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%
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“…Hyperspectral imaging (HSI), which can provide the spectral information along with the spatial distribution from a subject, is superior to the traditional spectroscopic methods [1]. The prediction map, as the most attractive part of HSI, enables the different attributes to be displayed from spot to spot in samples [2][3][4][5][6][7][8]. It has been intensively applied for meat adulteration detection [9][10][11][12]; monounsaturated and polyunsaturated fatty acid prediction in processed pork meats [13]; textural feature assessments of normal and white striping broiler breast meat [14]; and monitoring bacterial contaminations in chicken meat [15], the shelf-life of packaged bratwurst [16], and the pH [4], colour, [5] and triphosphate content [6] in ready-to-eat sausages.…”
Section: Introductionmentioning
confidence: 99%