Literature DB >> 23100585

Use of near-infrared spectroscopy to predict energy content of commercial dog food.

M Hervera1, C Castrillo, E Albanell, M D Baucells.   

Abstract

Near-infrared spectroscopy (NIRS) is used in the pet food industry for rapid assessment of several macronutrients and GE content, but there is little published data on its usefulness for evaluating GE and GE digestibility (GED) of commercial pet food. Using NIRS spectra of 71 commercial extruded dog foods and reference values determined with calorimetry and in vivo feeding trials, chemometric models were developed for GE, GED, and DE prediction. The SE and R(2) of cross-validation were 0.30 MJ/kg DM and 0.93 for GE, 2.10% and 0.82 for GED, and 0.53 MJ/kg DM and 0.92 for DE. The results indicated that NIRS provides GE, GED, and DE estimation values for dog food with an accuracy similar to that of the 2006 NRC proposed equations for use in pet food. Near-infrared spectroscopy is a fast and accurate method for predicting energy content in commercial extruded dog food, and is a useful and reliable tool to be used by the pet food industry when a wide enough calibration set is available.

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Year:  2012        PMID: 23100585     DOI: 10.2527/jas.2012-5106

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  6 in total

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Authors:  Sofia Schauf; Gabriel de la Fuente; Charles J Newbold; Anna Salas-Mani; Celina Torre; Leticia Abecia; Carlos Castrillo
Journal:  J Anim Sci       Date:  2018-09-07       Impact factor: 3.159

2.  Determination of Quality Parameters in Mangetout (Pisum sativum L. ssp. arvense) by Using Vis/Near-Infrared Reflectance Spectroscopy.

Authors:  María Del Carmen García-García; Emilio Martín-Expósito; Isabel Font; Bárbara Del Carmen Martínez-García; Juan A Fernández; Juan Luis Valenzuela; Pedro Gómez; Mercedes Del Río-Celestino
Journal:  Sensors (Basel)       Date:  2022-05-28       Impact factor: 3.847

3.  Clinical Findings in Healthy Dogs Fed With Diets Characterized by Different Carbohydrates Sources.

Authors:  Manuela Gizzarelli; Serena Calabrò; Alessandro Vastolo; Giuseppe Molinaro; Ines Balestrino; Monica Isabella Cutrignelli
Journal:  Front Vet Sci       Date:  2021-04-22

4.  At-line Prediction of Gelatinized Starch and Fiber Fractions in Extruded Dry Dog Food Using Different Near-Infrared Spectroscopy Technologies.

Authors:  Arianna Goi; Carmen L Manuelian; Federico Righi; Massimo De Marchi
Journal:  Animals (Basel)       Date:  2020-05-16       Impact factor: 2.752

5.  Prediction of Mineral Composition in Commercial Extruded Dry Dog Food by Near-Infrared Reflectance Spectroscopy.

Authors:  Arianna Goi; Carmen L Manuelian; Sarah Currò; Massimo De Marchi
Journal:  Animals (Basel)       Date:  2019-09-01       Impact factor: 2.752

6.  Differences in Metabolic Profiles of Healthy Dogs Fed a High-Fat vs. a High-Starch Diet.

Authors:  Yang Lyu; Daisy Liu; Patrick Nguyen; Iain Peters; Romy M Heilmann; Veerle Fievez; Lieselot Y Hemeryck; Myriam Hesta
Journal:  Front Vet Sci       Date:  2022-02-17
  6 in total

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