Performance of near infrared spectroscopy of a solid cattle and poultry manure database depends on the sample preparation and regression method used

IF 1.6 4区 化学 Q3 CHEMISTRY, APPLIED
Fabien Gogé, L. Thuriès, Y. Fouad, N. Damay, F. Davrieux, G. Moussard, Caroline Le Roux, Séverine Trupin-Maudemain, M. Valé, T. Morvan
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引用次数: 1

Abstract

Determining the chemical composition of animal manure rapidly is essential to manage fertilisation and decrease environmental pollution. Near infrared (NIR) spectroscopy is a non-destructive, inexpensive and rapid method to determine several components of manure simultaneously. This study investigated the ability of NIR spectroscopy to analyse the dry matter, total and ammonium nitrogen, phosphorus, calcium, potassium and magnesium contents in a database of heterogeneous cattle and poultry solid manures. The accuracy of calibration models obtained from different sample preparation methods (dried ground vs. fresh homogenized) and multivariate regression methods (partial least squares vs. local regression) were compared. The results showed that using local regression with NIR spectra of fresh homogenized manure could predict dry matter (R2=0.99, RMSEV = 1.64%, RPD = 13.31), total (R2=0.98, RMSEV = 0.16%, RPD = 7.11) and ammonium nitrogen (R2=0.97, RMSEV = 0.042%, RPD = 5.57) and phosphorus (R2=0.95, RMSEV = 0.10%, RPD = 5.56) contents accurately.
固体牛禽粪便数据库的近红外光谱性能取决于样品制备和使用的回归方法
迅速确定动物粪便的化学成分对管理施肥和减少环境污染至关重要。近红外光谱法是一种无损、廉价、快速的同时测定粪便中多种成分的方法。本研究利用近红外光谱技术分析了异种牛、禽固体粪便中干物质、总氮、铵态氮、磷、钙、钾和镁的含量。比较了不同样品制备方法(干燥研磨法与新鲜均质法)和多元回归方法(偏最小二乘法与局部回归法)获得的校准模型的准确性。结果表明,利用近红外光谱局部回归可以准确预测新鲜均质粪便中干物质(R2=0.99, RMSEV = 1.64%, RPD = 13.31)、总物质(R2=0.98, RMSEV = 0.16%, RPD = 7.11)、铵态氮(R2=0.97, RMSEV = 0.042%, RPD = 5.57)和磷(R2=0.95, RMSEV = 0.10%, RPD = 5.56)含量。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
35
审稿时长
6 months
期刊介绍: JNIRS — Journal of Near Infrared Spectroscopy is a peer reviewed journal, publishing original research papers, short communications, review articles and letters concerned with near infrared spectroscopy and technology, its application, new instrumentation and the use of chemometric and data handling techniques within NIR.
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