The Determination of Total N, Total P, Cu and Zn in Chicken Manure Using Near Infrared Reflectance Spectroscopy

In this study, the 74 chicken manure samples from a chicken farm were used to take the diffuse reflection spectra from 12500 to 4000 cm− 1 by FT-NIR spectrometer. The total N, total P, Cu and Zn of chicken manure samples were predicted by NIR spectra. For the samples of each component, an ascending order was arranged and they were divided into calibration set and prediction set according to their content. Partial least square regression (PLSR) method was applied to construct the calibration model. Results showed that the correlation coefficients of the calibration model for total N was 0.69, the root mean square error of calibration (RMSEC) was 0.66, the root mean square error of prediction (RMSEP) was 0.80. For the models of total P, Cu and Zn, the results were r=0.86, RMSEC=0.29, RMSEP=0.34; r=0.95, RMSEC=3.46, RMSEP=5.71; r=0.94, RMSEC=14.13, RMSEP=25.21, respectively. The results indicated that the NIR spectroscopy was useful to non-destructively determine the content of total N, total P, Cu and Zn of chicken manure. As a complementary detecting method to the conventional analysis, NIR spectroscopy could significantly improve the detecting efficiency.

[1]  Lujia Han,et al.  Rapidly Estimating Nutrient Contents of Fattening Pig Manure from Floor Scrapings by near Infrared Reflectance Spectroscopy , 2006 .

[2]  Kevin A Janni,et al.  Odor, total reduced sulfur, and ammonia emissions from animal housing facilities and manure storage units in minnesota , 2003 .

[3]  M. Hafidi,et al.  Compost Maturity Assessment Using Calorimetry, Spectroscopy and Chemical Analysis , 2000 .

[4]  Lujia Han,et al.  Evaluation of the nutrient metal content in Chinese animal manure compost using near infrared spectroscopy (NIRS). , 2008, Bioresource technology.

[5]  A. M. Mayoral,et al.  Estimation of phosphorus content and dynamics during composting: use of near infrared spectroscopy. , 2010, Chemosphere.

[6]  C. Périssol,et al.  Efficiency of near-infrared reflectance spectroscopy to assess and predict the stage of transformation of organic matter in the composting process. , 2008, Bioresource technology.

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

[8]  Eric R. Ziegel,et al.  Chemometrics: Statistics and Computer Application in Analytical Chemistry , 2001, Technometrics.

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

[10]  D. F. Malley,et al.  Use of Near-Infrared Reflectance Spectroscopy in Prediction of Heavy Metals in Freshwater Sediment by Their Association with Organic Matter , 1997 .

[11]  R. Haug The Practical Handbook of Compost Engineering , 1993 .

[12]  C. Pasquini Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications , 2003 .

[13]  Matthias Otto,et al.  Chemometrics: Statistics and Computer Application in Analytical Chemistry , 1999 .