Evaluation of four NIR spectrometers in the analysis of cattle slurry

The composition of animal slurries is basic information required to arrange fertilisation plans that allow satisfactory crop yields and avoid environmental pollution. Slurry management based on measured composition data requires the development and adoption of analytical methods that are rapid, affordable and applicable directly in the field. NIR spectroscopy is a candidate technique for this application. In the present work, the performances of four NIR spectrometers, differing in optics, detectors and price, were investigated and compared: one FT-NIR and one dispersive benchtop instrument; a less expensive diode array dispersive instrument also suitable for online applications; and a low-cost interferometric portable instrument. Ninety-nine slurries, collected from livestock farms in Lombardy (Italy), were characterised using reference methods for dry matter (DM), ashes (ASH), total nitrogen (TKN), ammonium nitrogen (AN), organic nitrogen (ON), total carbon (TC) and total phosphorus (TP) content, and were used to investigate the performance of the four NIR spectrometers. The calibrations obtained from the two benchtop instruments for DM, ASH, TKN and TC were classified “useful” or “moderately useful”, while for AN and TP they were “useful for screening purposes”. The two portable instruments provided less accurate calibrations, with the exception of DM and TC which, in the case of the diode array instrument, performed similarly to the benchtop spectrometers. The higher resolution and, to a lesser degree, the wider spectral range of the two benchtop spectrometers contribute to explain their better calibration performances for TKN and AN.

[1]  C. Hurburgh,et al.  Near-Infrared Reflectance Spectroscopy–Principal Components Regression Analyses of Soil Properties , 2001 .

[2]  John S. Shenk,et al.  Population Definition, Sample Selection, and Calibration Procedures for Near Infrared Reflectance Spectroscopy , 1991 .

[3]  G. Bortone,et al.  The fertilizer value of agricultural manure: Simple rapid methods of assessment , 1991 .

[4]  J. Reeves The present status of “quick tests” for on-farm analysis with emphasis on manures and soil: What is available and what is lacking? , 2007 .

[5]  Lujia Han,et al.  Review of the application of near-infrared spectroscopy technology to determine the chemical composition of animal manure. , 2013, Journal of environmental quality.

[6]  L. K. Sørensen,et al.  Application of Reflectance Near Infrared Spectroscopy for Animal Slurry Analyses , 2007 .

[7]  H. Ramon,et al.  Comparison of Transflectance and Reflectance to Analyse Hog Manures , 2005 .

[8]  Tormod Naes,et al.  Evaluation of alternative spectral feature extraction methods of textural images for multivariate modelling , 1998 .

[9]  Floyd E. Dowell,et al.  Comparison of Three near Infrared Spectrophotometers for Infestation Detection in Wild Blueberries Using Multivariate Calibration Models , 2009 .

[10]  C. Hurburgh,et al.  APPLICATION OF NEAR-INFRARED REFLECTANCE SPECTROSCOPY FOR DETERMINATION OF NUTRIENT CONTENTS IN LIQUID AND SOLID MANURES , 2005 .

[11]  Mogens Humlekrog Greve,et al.  Comparing Predictive Abilities of Three Visible-Near Infrared Spectrophotometers for Soil Organic Carbon and Clay Determination , 2013 .

[12]  D. F. Malley,et al.  Rapid Analysis of Hog Manure and Manure‐amended Soils Using Near‐infrared Spectroscopy , 2002 .

[13]  J. Kessel,et al.  Near-Infrared spectroscopic determination of carbon, total nitrogen, and ammonium-N in dairy manures. , 2000, Journal of dairy science.

[14]  R. J. Stevens,et al.  Estimating nutrient content of animal slurries using electrical conductivity , 1995, The Journal of Agricultural Science.

[15]  P. Armstrong,et al.  COMPARISON OF DISPERSIVE AND FOURIER-TRANSFORM NIR INSTRUMENTS FOR MEASURING GRAIN AND FLOUR ATTRIBUTES , 2006 .

[16]  C. Jun,et al.  Performance of some variable selection methods when multicollinearity is present , 2005 .

[17]  H. Ramon,et al.  Potential for On-Site Analysis of Hog Manure Using a Visual and near Infrared Diode Array Reflectance Spectrometer , 2004 .

[18]  L. Bechini,et al.  Description of a sample of liquid dairy manures and relationships between analytical variables , 2008 .

[19]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .

[20]  Eyal Ben-Dor,et al.  Application in Analysis of Soils , 2015 .

[21]  Wouter Saeys,et al.  Potential for Onsite and Online Analysis of Pig Manure using Visible and Near Infrared Reflectance Spectroscopy , 2005 .

[22]  M Smith,et al.  Near infrared spectroscopy. , 1999, British journal of anaesthesia.

[23]  L. J. Chen,et al.  Rapid analysis of layer manure using near-infrared reflectance spectroscopy. , 2008, Poultry science.

[24]  G. Huang,et al.  Rapid Estimation of the Composition of Animal Manure Compost by near Infrared Reflectance Spectroscopy , 2007 .

[25]  I. M. Scotford,et al.  Estimation of the Nutrient Value of Agricultural Slurries by Measurement of Physical and Chemical Properties , 1998 .

[26]  D. Massart,et al.  The Mahalanobis distance , 2000 .

[27]  H. Martens,et al.  Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy. , 1991, Journal of pharmaceutical and biomedical analysis.