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Rapid and Quantitative Determination of Soil Water-Soluble Nitrogen Based on Surface-Enhanced Raman Spectroscopy Analysis

机译:基于表面增强拉曼光谱分析的土壤水溶性氮的快速和定量测定

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摘要

An accurate and rapid determination of soil water-soluble nitrogen is conducive to scientific fertilization in precision agriculture. Surface-enhanced Raman spectroscopy (SERS) is a highly sensitive fingerprint with the advantages of simple operation and high detection efficiency. In this paper, partial least squares (PLS), principal components analysis (PCA), and least squares supports vector machine (LS-SVM) were applied to analyze the relationship between soil water-soluble nitrogen concentration and SERS. The results showed that the SERS-enhancing effect based on Opto Trace Raman 202 (OTR 202) was better than that of silver nanosubstrate and gold nanosubstrate. In addition, the prediction accuracy of soil water-soluble nitrogen in PLS was the highest ( R p 2 = 0.91 ,   RMSE p = 8.76   mg / L , R P D = 3.00 ) when the original spectra were preprocessed with first-derivative. Moreover, 1028, 1370, 1436, and 1636 cm−1 could be determined as characteristic peaks of soil water-soluble nitrogen, the association between soil water-soluble nitrogen concentration and a SERS intensity of 1370 cm−1 was the highest   ( R p 2 = 0.94 ) , and the regression equation was y = 93.491x + 1771.5. Beyond that, the prediction accuracy of distinguishing between a low soil water-soluble nitrogen concentration (22.7–63.7 mg/L) and a high soil water-soluble nitrogen concentration (70.5–118.3 mg/L) based on PCA and LS-LVM was 86.67%. In conclusion, soil water-soluble nitrogen could be detected rapidly and quantitatively using SERS, which was beneficial to provide a rapid, accurate, and reliable scheme for scientific and precise fertilization.
机译:土壤水溶性氮的准确和快速测定有利于精密农业科学施肥。表面增强拉曼光谱(SERS)是一种高灵敏度的指纹,其操作简单,检测效率高。在本文中,局部最小二乘(PLS),主成分分析(PCA)和最小二乘支持向量机(LS-SVM)以分析土壤水溶性氮浓度和SERS之间的关系。结果表明,基于Opto痕量拉曼202(OTR 202)的SERS增强效果优于银纳米术和金纳米纳米纳米。此外,当原始光谱预处理第一衍生物时,PLS中土壤水溶性氮的预测精度最高(R p 2 = 0.91,Rmse P = 8.76mg / L,R p d = 3.00)。此外,1028,1370,1436和1636cm-1可以被确定为土壤水溶性氮的特征峰,土壤水溶性氮气浓度与1370cm-1的SERS强度之间的关联最高(R p 2 = 0.94),回归方程为y = 93.491x + 1771.5。除此之外,区分低土水溶性氮浓度(22.7-63.7mg / L)和基于PCA和LS-LVM的高土壤水溶性氮浓度(70.5-118.3mg / L)的预测准确性86.67%。总之,可以快速和定量地使用SERS检测土壤水溶性氮,这有利于提供快速,准确,可靠的科学和精确施肥方案。

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