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Evaluation of DRIFTS technique with PLS regression for determination of added mineral nitrogen in soil.

机译：用PLS回归评估DRIFTS技术以确定土壤中添加的矿质氮。

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摘要

Diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) in both near infrared (NIR) and mid infrared (MIR) has been previously shown to be effective in quantifying soil nitrogen (N) concentrations when calibrated using numerous field soil samples. However, such an approach provides samples that likely contain substantial correlations between physical and chemical properties. To address these concerns, the performance of DRIFTS coupled with PLS regression in NIR regions, 5,000–4,000 cm−1 (2,000–2,500 nm) and 6,500–5,500 cm−1 (1,540–1,820 nm), and the M1R region, 3,400–2,400 cm−1 (2,940–4,170 nm), was assessed first through analysis of the concentration of mineral N (ammonium (NH4+) (0–50 ppm) and nitrate (NO 3−) (0–200 ppm)) artificially incorporated into a series of silica sand and clay samples with a consistent particle size. The influence of the reduction of sand particles to silt was also analyzed quantitatively. Subsequently, the Pima clay loam soil was evaluated and the concentration ranges of 0–200 ppm NH4+ and 180–1,000 ppm NO3− were added in soil samples. All three regions provided good measurement of NH4 + but the MIR region was significantly more useful for NO3 − measurement in sand. The detection limits for the measurement of mineral N in sand with particle sizes within 212–300 μm using the MIR region were 9 ppm NH4+ (7 ppm NH4-N) and 36 ppm NO3− (8 ppm NO3-N). For silt (particles less than 53 μm), the most effective model was the MIR region for both NH4+ and NO3 − measurements, yielding the detection limits of 15 ppm NH 4+ (12 ppm NH4-N) and 50 ppm NO3 − (11 ppm NO3-N). The MIR region also performed reasonably well with soil samples but both NIR regions provided poor results. The detection limits for NH4+ and NO3− measurements in soil were 100 ppm NH4+ (78 ppm NH4-N) and 330 ppm NO3− (75 ppm NO3-N) with the correlation coefficients (R2) of roughly 80% and 90%, respectively. The spectral range of 2,900–2,400 cm−1 was the effective common range for mineral N measurement in sand, silt, and soil samples.
机译：先前已证明，使用大量的田间土壤样品进行校准时，近红外（NIR）和中红外（MIR）的漫反射红外傅里叶变换光谱（DRIFTS）可有效量化土壤氮（N）的浓度。然而，这种方法提供的样品可能包含物理和化学性质之间的实质相关性。为解决这些问题，DRIFTS的性能与PIR回归在近红外区域（5,000–4,000 cm -1 （2,000–2,500 nm）和6,500–5,500 cm -1 （1,540–1,820 nm）和M1R区域3,400–2,400 cm -1 （2,940–4,170 nm），首先通过分析矿物质N（铵（NH 人工掺入4 + ）（0–50 ppm）和硝酸盐（NO 3 -）（0–200 ppm））分成一系列粒径一致的硅砂和粘土样品。还定量分析了沙粒减少对淤泥的影响。随后，对皮马粘土壤土进行了评估，其浓度范围为0–200 ppm NH 4 + 和180–1,000 ppm NO 3 <在土壤样品中加入了super>-。这三个区域均能很好地测量NH 4 + ，但MIR区域对NO 3 -的作用明显更大在沙子中测量。使用MIR区域测量粒度在212–300μm之间的沙子中的矿质N的检测限为9 ppm NH 4 + （7 ppm NH 4 -N）和36 ppm NO 3 -（8 ppm NO 3 -N）。对于淤泥（小于53μm的颗粒），最有效的模型是NH 4 + 和NO 3 的MIR区域− 测量，检测限为15 ppm NH 4 + （12 ppm NH 4 -N）和50 ppm NO 3 -（11 ppm NO 3 -N）。 MIR区域在土壤样品上的表现也相当好，但两个NIR区域均提供了较差的结果。土壤中NH 4 + 和NO 3 -的检出限为100 ppm NH 4 + （78 ppm NH 4 -N）和330 ppm NO 3 -（75 ppm NO 3 -N）的相关系数（R 2 ）分别约为80％和90％。 2,900–2,400 cm −1 的光谱范围是测量沙子，粉砂和土壤样品中矿物氮的有效常用范围。

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  • 作者

    Boonmung, Suwanee.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Engineering Agricultural.; Agriculture Soil Science.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 p.2280
  • 总页数 226
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业工程;
  • 关键词

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