FN Archimer Export Format
PT J
TI Prediction of fatty acids composition in the rainbow trout Oncorhynchus mykiss by using Raman micro-spectroscopy
BT 
AF PRADO, Enora
   Eklouch-Molinier, Christophe
   ENEZ, Florian
   CAUSEUR, David
   BLAY, Carole
   DUPONT-NIVET, Mathilde
   LABBE, Pierre
   PETIT, Vincent
   MOREAC, Alain
   TAUPIER, Grégory
   HAFFRAY, Pierrick
   BUGEON, Jérôme
   CORRAZE, Geneviève
   NAZABAL, Virginie
AS 1:1;2:2;3:2;4:3;5:4;6:4;7:5;8:6;9:7;10:1;11:3;12:8;13:9;14:1;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;
C1 CNRS, ISCR – UMR 6226, ScanMAT – UMS 2001, Univ Rennes, 35000, RENNES, France
   SYSAAF, Station LPGP-INRA, 35042, Rennes, France
   IRMAR UMR CNRS 6625, Agrocampus Ouest, Rennes Cedex, France
   Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
   INRAE, UE 0937, PEIMA, 29450, Sizun, France
   Les Sources de L’Avance, 40410, Pissos, France
   IPR – UMR 6251, Univ Rennes, 35000, RENNES, France
   INRAE, UR1037, LPGP, 35000, Rennes, France
   INRAE, Univ Pau & Pays Adour, E2S UPPA, UMR1419 NuMéA, 64310, Saint Pée, France
C2 CNRS, FRANCE
   SYSAAF, FRANCE
   CNRS, FRANCE
   UNIV PARIS-SACLAY, FRANCE
   INRAE, FRANCE
   Les Sources de L’Avance, 40410, Pissos, France
   UNIV RENNES, FRANCE
   INRAE, FRANCE
   INRAE, FRANCE
IF 6.2
TC 4
UR https://archimer.ifremer.fr/doc/00732/84409/89440.pdf
LA English
DT Article
DE ;Raman spectroscopy;Fatty acids;Rainbow trout;Adipocytes;Calibration model;Ridge regression method
AB The importance of poly-unsaturated fatty acids (PUFAs) in food is crucial for the animal and human development and health. As a complementary strategy to nutrition approaches, genetic selection has been suggested to improve fatty acids (FAs) composition in farmed fish. Gas chromatography (GC) is used as a reference method for the quantification of FAs; nevertheless, the high cost prevents large scale phenotyping as needed in breeding programs. Therefore, a calibration by means of Raman scattering spectrometry has been established in order to predict FA composition in rainbow trout Onchorhynchus mykiss adipose tissue. FA composition of visceral adipose tissue was analysed by both GC and Raman micro-spectrometry techniques on 268 individuals fed with three different feeds, which have different FA compositions. Among the possible regression methods, the ridge regression method, was found to be efficient to establish calibration models from the GC and spectral data. The best cross-validated R2 values were obtained for total PUFAs, omega-6 (Ω-6) and omega-3 (Ω-3) PUFA (0.79, 0.83 and 0.66, respectively). For individual Ω-3 PUFAs, α-linolenic acid (ALA, C18:3), eicosapentaenoic acid (EPA, C20:5) and docosahexenoic acid (DHA, C22:6) were found to have the best R2 values (0.82, 0.76 and 0.81, respectively). This study demonstrates that Raman spectroscopy could be used to obtain good correlation coefficients on adipocytes allowing to predict PUFAs, and calibration models can be used to predict PUFAs contents for large scale and high throughput phenotyping in rainbow trout. 
PY 2022
PD JAN
SO Analytica Chimica Acta
SN 0003-2670
PU Elsevier
VL 1191
UT 000744469700010
DI 10.1016/j.aca.2021.339212
ID 84409
ER

EF