Suitability of faecal near-infrared reflectance spectroscopy (NIRS) predictions for estimating gross calorific value

  • Begoña De la Roza-Delgado SERIDA. Dept. Nutrition, Grasslands and Forages. PO Box 13, 33300 Villaviciosa (Asturias)
  • Sagrario Modroño SERIDA. Dept. Nutrition, Grasslands and Forages. PO Box 13, 33300 Villaviciosa (Asturias)
  • Fernando Vicente SERIDA. Dept. Nutrition, Grasslands and Forages. PO Box 13, 33300 Villaviciosa (Asturias)
  • Adela Martínez-Fernández SERIDA. Dept. Nutrition, Grasslands and Forages. PO Box 13, 33300 Villaviciosa (Asturias)
  • Ana Soldado SERIDA. Dept. Nutrition, Grasslands and Forages. PO Box 13, 33300 Villaviciosa (Asturias)
Keywords: NIR spectroscopy, heating value, faeces

Abstract

A total of 220 faecal pig and poultry samples, collected from different experimental trials were employed with the aim to demonstrate the suitability of Near Infrared Reflectance Spectroscopy (NIRS) technology for estimation of gross calorific value on faeces as output products in energy balances studies. NIR spectra from dried and grounded faeces samples were analyzed using a Foss NIRSystem 6500 instrument, scanning over the wavelength range 400-2500 nm. Validation studies for quantitative analytical models were carried out to estimate the relevance of method performance associated to reference values to obtain an appropriate, accuracy and precision. The results for prediction of gross calorific value (GCV) of NIRS calibrations obtained for individual species showed high correlation coefficients comparing chemical analysis and NIRS predictions, ranged from 0.92 to 0.97 for poultry and pig. For external validation, the ratio between the standard error of cross validation (SECV) and the standard error of prediction (SEP) varied between 0.73 and 0.86 for poultry and pig respectively, indicating a sufficiently precision of calibrations. In addition a global model to estimate GCV in both species was developed and externally validated. It showed correlation coefficients of 0.99 for calibration, 0.98 for cross-validation and 0.97 for external validation. Finally, relative uncertainty was calculated for NIRS developed prediction models with the final value when applying individual NIRS species model of 1.3% and 1.5% for NIRS global prediction. This study suggests that NIRS is a suitable and accurate method for the determination of GCV in faeces, decreasing cost, timeless and for convenient handling of unpleasant samples.

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References

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Published
2015-02-05
How to Cite
De la Roza-DelgadoB., ModroñoS., VicenteF., Martínez-FernándezA., & SoldadoA. (2015). Suitability of faecal near-infrared reflectance spectroscopy (NIRS) predictions for estimating gross calorific value. Spanish Journal of Agricultural Research, 13(1), e0203. https://doi.org/10.5424/sjar/2015131-6959
Section
Agricultural engineering