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     Research Journal of Applied Sciences, Engineering and Technology


Rapid Determination of Total Nitrogen, Ammonium and Nitrate Nitrogen in Vinegar Residue Growing Substrates using Near-Infrared Spectroscopy

1Yongli Zhu and 2Pingping Li
1College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037, China
2Institute of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Research Journal of Applied Sciences, Engineering and Technology  2013  18:3456-3461
http://dx.doi.org/10.19026/rjaset.6.3666  |  © The Author(s) 2013
Received: January 22, 2013  |  Accepted: February 25, 2013  |  Published: October 10, 2013

Abstract

The objective of this study was to investigate the feasibility of using Near-Infrared Spectroscopy (NIRS) to determine the total nitrogen, ammonium and nitrate nitrogen in growing substrates of vinegar residues. Samples of 106 substrates were collected from the cultivation experiments of vinegar residue substrates. Spectra of the visible and near infrared region (350-2500 nm) were obtained for all samples after drying and grinding (variant A) or in a moist state (variant B). Across validation was carried out using a partial least square method which was based on the entire spectra. For parameters $TN, NO_3^-$ and $NH_4^+$, precisions of the calibration and prediction models were inconsistent between variant A and B. For variant A, the prediction coefficient (r), Root Mean Squared Error of Cross-Validation (RMSECV) and the ratio of standard deviation and RMSECV (RSC) were 0.97, 0.64 g/kg and 4.4 for TN, 0.58, 15.4 mg/kg and 1.2 for $NO_3^-$, 0.79, 0.75 g/kg and 1.5 for $NH_4^+$, respectively. For moist samples, the r, RMSECV and RSC were 0.79, 1.81 g/kg and 1.6 for TN, 0.85, 9.95 mg/kg and 1.9 for $NO_3^-$, 0.92, 0.45 g/kg and 2.5 for $NH_4^+$, respectively. The results indicate a marked usefulness of NIRS in the nitrogen assessment and management of growing substrates, especially for TN and $NH_4^+$. However, further research is needed to improve the prediction precision of calibration models by enlarging the number of samples and using other growing substrates.

Keywords:

Detection, growing substrate, near-infrared spectroscopy, nitrogen,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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