Use of NIRS technology with a remote reflectance fibre-optic probe for predicting mineral composition (Ca,K, P,Fe, Mn,Na, Zn), protein and moisture in alfalfa |
| |
Authors: | I González-Martín J M Hernández-Hierro J M González-Cabrera |
| |
Institution: | (1) Departamento de Química Analítica, Nutrición y Bromatología, Facultad de Ciencias Químicas, C/ Plaza de la Merced s/n, 37008 Salamanca, Spain |
| |
Abstract: | In the present work we study the use of near-infrared spectroscopy (NIRS) technology together with a remote reflectance fibre-optic
probe for the analysis of major (Ca, K, P) and minor (Fe, Mn, Na, Zn) elements, protein and moisture in alfalfa. The method
allows immediate analysis of the alfalfa without prior sample treatment or destruction through direct application of the fibre-optic
probe on ground samples in the case of the mineral composition and on-ground and compacted (baled) samples in the case of
protein and humidity. The regression method employed was modified partial least-squares (MPLS). The calibration results obtained
using samples of alfalfa allowed the determination of Ca, K, P, Fe, Mn, Na and Zn, with a standard error of prediction (SEP(C))
and a correlation coefficient (RSQ) expressed in mg/kg of alfalfa of 1.37 × 103 and 0.878 for Ca, 1.10 × 103 and 0.899 for K, 227 and 0.909 for P, 103 and 0.948 for Fe, 5.1 and 0.843 for Mn, 86.2 and 0.979 for Na, and of 1.9 and 0.853
for Zn, respectively. The SEP(C) and RSQ values (in %) for protein and moisture in ground samples were 0.548 and 0.871 and
0.150 and 0.981, respectively; while in the compacted samples they were 0.564 and 0.826 and 0.262 and 0.935, respectively.
The prediction capacity of the model and the robustness of the method were checked in the external validation in alfalfa samples
of unknown composition, and the results confirmed the suitability of the method. |
| |
Keywords: | Mineral composition Protein Moisture Near infrared spectroscopy Fibre-optic probe Alfalfa |
本文献已被 PubMed SpringerLink 等数据库收录! |
|