Prediction of chemical composition and peroxide value in unground pet foods by near-infrared spectroscopy.
J Anim Physiol Anim Nutr (Berl)
; 102(1): 337-342, 2018 Feb.
Article
en En
| MEDLINE
| ID: mdl-27997720
ABSTRACT
The massive development of the pet food industry in recent years has lead to the formulation of hundreds of canine and feline complete extruded foods with the objective of meeting both the needs of the animals and numerous demands from pet owners. In the meantime, highly variable raw material compositions and the industry's new production techniques oblige manufacturers to monitor all phases of the extrusion process closely in order to ensure the targeted composition and quality of the products. This study aimed at evaluating the potential of infrared technology (visible and near-infrared spectrophotometer; 570-1842 nm) in predicting the chemical composition and peroxide value (PV) of unground commercial extruded dog foods. Six hundred and forty-nine commercial extruded dog foods were collected. For each product, an unground aliquot was analysed by infrared instrument while a second aliquot was sent to a laboratory for proximate analysis and PV quantification. The wide range of extruded dog food typologies included in the study was responsible for the wide variability observed within each nutritional trait, especially crude fibre and ash. The mean value of the 208 pet foods sampled for PV quantification was 17.49 mEq O2 /kg fat (min 2.2 and max 94.10 mEq O2 /kg fat). The coefficients of determination in cross-validation of NIRS prediction models were 0.77, 0.97, 0.83, 0.86, 0.78 and 0.94 for moisture, crude protein, crude fat, crude fibre, ash and nitrogen-free extract (NFE) respectively. PV prediction was less precise, as demonstrated by the coefficient of determination in cross-validation (0.66). The results demonstrated the potential of NIRS in predicting chemical composition in unground samples, with lower accuracy for moisture and ash, while PV prediction models suggest use for screening purposes only.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Peróxidos
/
Análisis Espectral
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Manipulación de Alimentos
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Alimentación Animal
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Animals
Idioma:
En
Revista:
J Anim Physiol Anim Nutr (Berl)
Asunto de la revista:
CIENCIAS DA NUTRICAO
/
FISIOLOGIA
/
MEDICINA VETERINARIA
Año:
2018
Tipo del documento:
Article
País de afiliación:
Italia