The use of Fourier‐transform infrared spectroscopy to characterize connective tissue components in skeletal muscle of Atlantic cod ( Gadus morhua L.)

• Published in: Journal of Biophotonics
• Main Authors: Sanden, Karen W., Kohler, Achim, Afseth, Nils K., Böcker, Ulrike, Rønning, Sissel B., Liland, Kristian H., Pedersen, Mona E.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2019
• Subjects: atlantic cod; Gadus morhua
• Online Access: http://dx.doi.org/10.1002/jbio.201800436; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjbio.201800436; https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.201800436; https://onlinelibrary.wiley.com/doi/full-xml/10.1002/jbio.201800436

Abstract In the present study, Fourier‐transform infrared spectroscopy (FTIR) is investigated as a method to measure connective tissue components that are important for the quality of Atlantic cod filets (Gadus morhua L.) . The Atlantic cod used in this study originated from a feeding trial, which found that fish fed a high starch diet contained relative more collagen type I, while fish fed a low starch (LS) diet contained relative more glycosaminoglycans (GAGs) in the connective tissue. FTIR spectra of pure commercial collagen type I and GAGs were acquired to identify spectral markers and compare them with FTIR spectra and images from connective tissue. Using principal component analysis, high and LS diets were separated due to collagen type I in the spectral region 1800 to 800 cm −1 . The spatial distribution of collagen type I and GAGs were further investigated by FTIR imaging in combination with immunohistochemistry. Pixel‐wise correlation images were calculated between preprocessed connective tissue images and preprocessed pure components spectra of collagen type I and GAGs, respectively. For collagen, the FTIR images reveal a collagen distribution that closely resembles the collagen distribution as imaged by immunohistochemistry. For GAGs, the concentration is very low. Still, the FTIR images detect the most GAGs rich regions.