Izvorni znanstveni članak
https://doi.org/10.5513/JCEA01/24.3.3812
Evaluation the nutrient composition of extracted sunflower meal samples, determined with wet chemistry and near infrared spectroscopy
Ákos MEZŐLAKI
; Agrofeed Ltd., Duna Kapu Square 10, 9022 Győr, Hungary
Nikoletta SUCH
; Institute of Physiology and Nutrition, Georgikon Campus, Hungarian University of Agriculture and Life Sciences, Deák Ferenc Street 16, 8360 Keszthely, Hungary
László WÁGNER
; Institute of Physiology and Nutrition, Georgikon Campus, Hungarian University of Agriculture and Life Sciences, Deák Ferenc Street 16, 8360 Keszthely, Hungary
Mohamed Ali RAWASH
; Institute of Physiology and Nutrition, Georgikon Campus, Hungarian University of Agriculture and Life Sciences, Deák Ferenc Street 16, 8360 Keszthely, Hungary
Kesete Goitom TEWELDE
; Institute of Physiology and Nutrition, Georgikon Campus, Hungarian University of Agriculture and Life Sciences, Deák Ferenc Street 16, 8360 Keszthely, Hungary
László PÁL
; Institute of Physiology and Nutrition, Georgikon Campus, Hungarian University of Agriculture and Life Sciences, Deák Ferenc Street 16, 8360 Keszthely, Hungary
Judit POÓR
; Institute of Mathematics and Basics of Natural Sciences, Georgikon Campus, 8360 Keszthely, Hungary; Deák Ferenc Street 16, Hungary
Károly DUBLECZ
; Institute of Physiology and Nutrition, Georgikon Campus, Hungarian University of Agriculture and Life Sciences, Deák Ferenc Street 16, 8360 Keszthely, Hungary
Sažetak
Twenty extracted sunflower meal (SFM) samples were collected and analysed with classical laboratory methods and near infrared spectroscopy (NIRS). From the results, the variance of the nutrients, the accuracy of NIRS prediction and the interaction of the different nutrients have been evaluated. The results showed that NIRS provides high accuracy for crude protein, amino acids, fibre fractions and total phosphorus. The reliability for crude fat, crude ash and sugar predictions was however lower. The relationship between the measured and estimated amino acid contents was significant in all cases with high correlation coefficients. The crude protein content of the SFM samples showed a positive correlation with the crude ash, phosphorous and sugar contents, and a negative correlation with all fibre fractions. According to our results, the amino acid composition of the sunflower meal protein is not constant. The ratio of methionine and histidine HIS is higher, while that of cysteine, tyrosine, arginine, isoleucine, leucine, valine and phenylalanine is lower when the protein content of SFM increase.
Ključne riječi
extracted sunflower meal; chemical composition; NIRS; nutrient correlations; protein quality
Hrčak ID:
308154
URI
Datum izdavanja:
8.9.2023.
Posjeta: 146 *