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BookletUne introduction à l'analyse des sols par spectroscopie dans le visible et le proche infrarouge (vis-NIR) ainsi que dans le moyen infrarouge (MIR)
Spectroscopie du sol matériel de formation #1
2024"Une introduction à l'analyse des sols par spectroscopie dans le visible et le proche infrarouge (vis-NIR) ainsi que dans le moyen infrarouge (MIR)" représente le tout premier matériel de formation sur le thème de la spectroscopie des sols pour débutants développé par l'initiative GLOSOLAN-Spec (Global Soil Laboratory Network Initiative on Soil Spectroscopy) du Partenariat mondial sur les sols (Global Soil Partnership) de la FAO. Ce document offre une introduction à l'utilisation de la spectroscopie des sols pour l'analyse des sols et couvre les procédures de base fondamentales pour l'utilisation de cette technologie pour l'analyse des sols. La série " Matériel de formation à la spectroscopie des sols " fait partie du Réseau mondial des laboratoires des sols (GLOSOLAN) qui vise à renforcer les capacités des laboratoires en matière d'analyse des sols. Elle fournit une série de matériels de formation couvrant un large éventail de sujets sur la spectroscopie vis-NIR et MIR des sols. L'objectif principal est de développer des bibliothèques nationales et régionales de spectres de sol avec un service d'estimation, et de fournir des services de conseil sur l'instrumentation appropriée. -
Journal, magazine, bulletinSpectroscopy: towards eco and human friendly soil analysis
ITPS Soil Letters #4
2021Also available in:
No results found.A study conducted by the FAO Global Soil Laboratory Network (GLOSOLAN) showed that most standard chemical analyses have medium or high risks to human health, can contribute to environmental pollution and are often costly, requiring a range of different equipment and chemicals. These issues can mostly be avoided through the development of quicker and less expensive detection methods. This letter aims to show how spectroscopy can offer a fast, reliable, and environmental-friendly method to provide the large soil information databases necessary for decision making in sustainable agricultural systems. -
ArticleNear-infrared analysis and model optimization about main Chemical Components of pulpwood in Hainan Province
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.In order to improve the utilization of pulpwood in Hainan Province, alleviate the shortage of pulping materials, reduce pollution and overall costs in Chinese pulping and papermaking industry, this study aimed to use near- infrared spectroscopy to realize the rapid analysis of holocellulose and Klason lignin content in pulpwood. A holographic grating near-infrared pectrometer, with a simple structure and easy modification, was used to collect the near-infrared spectrum of 205 samples of pulpwood common in Hainan (E.urophlla× E.tereticornis, Eucalyptus urophylla×grandis, Eucalyptus urophylla, Acacia mangium, Acacia crassicarpa Benth.), and the content of holocellulose and Klason lignin were measured ccording to the traditional laboratory methods. Suitable pretreatment methods were selected in combination with partial least squares (PLS) to establish analysis models of holocellulose and Klason lignin. Then genetic algorithm was used to eliminate the irrelevant variables and clarify the feature absorption of holocellulose and Klason lignin in order to optimize the models. The holocellulose model was established by pretreatment methods of smoothing, vector normalization, first derivative of the original spectrum, with 1150.3~2362.0nm bands participated in modeling. The RMSEP value of the model was 0.55% and the absolute deviation range was -0.91~0.87%. The Klason lignin model was established by pretreatment methods of smoothing, multiplicative scatter correction(MSC), second derivative of the original spectrum, with 1137.6~1872.5nm and 2131.0~2424.1nm bands participated in modeling. The RMSEP value of the model was 0.45% and the absolute deviation range was -0.76~0.79%. The RPD values of the two models were 4.71 and 3.47, respectively, which can meet the industrial needs of online rapid analysis. At the same time, this study provides a theoretical basis for the establishment of a near-infrared characterization system for pulpwood. Keywords: near-infrared; Genetic Algorithm; characteristic wavelengths; holocellulose; Klason lignin ID: 3486598
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