Journal
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
Volume 303, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2023.123217
Keywords
Near-infrared spectroscopy; Hyperspectral imaging; Low-cost sensor; Precise labelling; Nutritional claims; Low salt content; Texture; Non-invasive technologies; Computed tomography
Categories
Ask authors/readers for more resources
This study investigated the use of non-invasive technologies, such as near infrared spectrometers and hyperspectral imaging, for determining salt content and texture in canned tuna. The results showed that low-cost sensors could be used for standardized production and nutritional labeling, but more sophisticated algorithms are necessary for detecting textural defects.
Non-invasive technologies could help to guarantee quality standards of canned tuna fish. The aim of this study was to investigate the ability of bench-top (FT-NIR) and low-cost (LC-NIR) near infrared spectrometers to determine salt content and texture in canned tuna. Salt content distribution was also investigated using hyperspectral imaging (HSI) and computed tomography. Spectra were acquired on canned tuna and reference analysis performed. Partial least squares regression and discriminant analysis were used to develop salt content predictive and texture classification models. Salt content predictive errors were 0.10%, 0.22% and 0.22% for FTNIR, LC-NIR and HSI, respectively. Salt content was not always homogeneously distributed in the can which was attributed to the salt content differences between internal and external parts of the tuna fish. Low-cost sensors could be a suitable solution to standardise the production and enable precise nutritional labelling, but more sophisticated algorithms are needed to identify textural defects.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available