Pregled bibliografske jedinice broj: 1237499
Preliminary study on determination of fish freshness by Raman spectroscopy
Preliminary study on determination of fish freshness by Raman spectroscopy // Book of abstracts of 49th WEFTA conference / Morkore, Jakup ; Luten, Joop ; I Geil, Olavur (ur.).
Torshavn, 2019. str. 120-120 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1237499 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Preliminary study on determination of fish freshness
by Raman spectroscopy
Autori
Janči, Tibor ; Valinger, Davor ; Gajdoš Kljusurić, Jasenka ; Mikac, Lara ; Ivanda, Mile ; Vidaček Filipec, Sanja
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of abstracts of 49th WEFTA conference
/ Morkore, Jakup ; Luten, Joop ; I Geil, Olavur - Torshavn, 2019, 120-120
Skup
49th West European Fish Technologists Association Conference
Mjesto i datum
Torshavn, Farski otoci, 14.10.2019. - 18.10.2019
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Raman spectroscopy ; fish ; quality ; freshness
Sažetak
Loss of freshness and gradual occurrence of spoilage in fish during storage can be determined by different methods which are often time / labor consuming or require expensive equipment and skilled personnel. Recent scientific publications emphasize the need for fast and easy-to use methodologies for quality control of fish. In this study, possible application of Raman spectroscopy, as rapid and noninvasive method for determination of fish freshness, was evaluated. Five seabass fillets were stored on ice and 10 Raman spectra per sample were recorded each day during 9 days of storage. Raman spectra were recorded using Horiba Jobin Yvon T64000 triple Raman spectrometer equipped with 514.5 nm excitation wavelength laser in spectral range from 200 – 3800 cm-1. Obtained spectra were analyzed by principal component analysis and several models based on different spectral sub-regions were obtained. Best results were obtained by models based on 900 – 1320 cm-1, 820 – 1660 cm-1 regions and model based on selected dominant Raman bands present in the spectra of samples. In addition, artificial neural network model was constructed and used for prediction of storage time with correlation coefficient of prediction R2 > 0, 90. Obtained results show that PCA models are able to classify fish samples according to storage time with 96, 67 % certainty based on Raman spectra in region from 820 – 1660 cm-1 which includes major part of “fingerprint region”, containing vibrational signatures of molecules present in the sample. Although results are promising, further work is needed to identify key indicators of freshness loss in Raman spectra of fish samples which would enable construction of reliable chemometric models for prediction of freshness / duration of storage of fish.
Izvorni jezik
Engleski
Znanstvena područja
Prehrambena tehnologija, Interdisciplinarne biotehničke znanosti
POVEZANOST RADA
Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb
Profili:
Lara Mikac
(autor)
Davor Valinger
(autor)
Mile Ivanda
(autor)
Tibor Janči
(autor)
Jasenka Gajdoš Kljusurić
(autor)