DETERMINATION OF BIOLOGICAL MEASURES BY MID-INFRARED DIFFUSE REFLECTANCE SPECTROSCOPY IN SOILS WITHIN A LANDSCAPE
DETERMINATION OF BIOLOGICAL MEASURES BY MID-INFRARED DIFFUSE REFLECTANCE SPECTROSCOPY IN SOILS WITHIN A LANDSCAPE
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通过中红外漫反射光谱测定景观土壤中的生物指标
DOI：
10.1097/00010694-200204000-00005
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
G. Galletti
中科院分区：
文献类型：
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作者：
T. Mimmo;J. Reeves;G. McCarty;G. Galletti
本工作的目的是确定样品多样性的影响，中红外漫反射光谱校准的土壤生物措施。从一个20公顷的土地上，共采集了136个土壤样品，代表了一个小流域内的景观。从最初的10厘米开始以网格图案获得样品。土壤样品进行了分析，中红外漫反射光谱和常规方法的总C和N，生物量C和N，酸性和碱性磷酸酶，芳基硫酸酯酶。在DigiLab FTS-60傅里叶变换光谱仪上，使用定制的样品传输器，从4000到400 cm−1（4 cm−1分辨率，64次共加扫描）扫描干燥和研磨的样品，非KBr稀释，允许扫描50 x 2 mm的样品面积。使用偏最小二乘回归的结果表明，漫反射红外傅立叶变换光谱能够确定，在一定程度上，组成参数（总C和N）和生物活性所反映的三种酶。基于校准误差相对于平均分析物值，生物活性的措施的结果是一样好的，在以前的研究中发现使用一个不太多样化（矿物学）的样品集，虽然生物质C和N的校准是不可行的。一般来说，对于相同的样品，使用中红外光谱的结果也比使用近红外光谱的结果更准确。
The objective of this work was to determine the effects of sample diversity on mid-infrared diffuse reflectance spectroscopic calibrations for biological measures in soils. A total of 136 soil samples representing a landscape within a small watershed were taken from a 20-ha field. The samples were obtained in a grid pattern from the first 10 centimeters. Soil samples were analyzed by mid-infrared diffuse reflectance spectroscopy and by conventional methods for total C and N, biomass C and N, acid and alkaline phosphatase, and arylsulfatase. Dried and ground samples, non-KBr diluted, were scanned from 4000 to 400 cm−1 (4 cm−1 resolution, 64 co-added scans) on a DigiLab FTS-60 Fourier transform spectrometer using a custom made sample transport that allowed a sample area of 50 by 2-mm to be scanned. Results using partial least squares regression showed that diffuse reflectance infrared fourier transform spectroscopy was capable of determining, to some degree, compositional parameters (total C and N) and biological activity as reflected by three enzymes. Based on calibration errors relative to the mean analyte values, the results for the measures of biological activity were as good as those found in previous studies using a less diverse (mineralogically) set of samples, although calibrations for biomass C and N were not feasible. In general, the results using mid-infrared spectra were also more accurate than those found using near-infrared spectra for the same samples.