Fourier Transforms - New Analytical Approaches and FTIR Strategies 2011
DOI: 10.5772/15732
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Application of FTIR Spectroscopy to Agricultural Soils Analysis

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Cited by 18 publications
(17 citation statements)
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“…The use of neat samples is widespread in soil analysis 28,[58][59][60][61] due to its advantage of minimal sample preparation and quantitative use of spectra with chemometrics, which is not necessarily improved by the use of halide salt dilution. [62][63][64] Additionally, specular reflectance that minimizes silicate peaks in spectra of neat soils can be considered an advantage when assessment of SOM composition is the objective. 45 Spectra were calculated as the mean of 256 scans across 4000-500 cm À1 at 4 cm À1 resolution.…”
Section: Characterization Of Soil Organic Matter Compositionmentioning
confidence: 99%
“…The use of neat samples is widespread in soil analysis 28,[58][59][60][61] due to its advantage of minimal sample preparation and quantitative use of spectra with chemometrics, which is not necessarily improved by the use of halide salt dilution. [62][63][64] Additionally, specular reflectance that minimizes silicate peaks in spectra of neat soils can be considered an advantage when assessment of SOM composition is the objective. 45 Spectra were calculated as the mean of 256 scans across 4000-500 cm À1 at 4 cm À1 resolution.…”
Section: Characterization Of Soil Organic Matter Compositionmentioning
confidence: 99%
“…The soils were then analysed using Fourier Transform Mid-Infrared Reflectance Spectroscopy at waveband range from 4001.6 to 601.7 cm, at World Agroforestry Centre (ICRAF) Soil-Plant Spectral Diagnostics Laboratory in Nairobi (Bruker Optik GmbH, Germany [44]). Soil samples were scanned 32 times and their four spectra averaged to account for variability within sample and differences in particle size and packaging in wells [43].…”
Section: Spectral Data Analysismentioning
confidence: 99%
“…A small amount of each soil sample was placed on the IR sample cell [16,17], and the peaks were recorded which are shown in Figs. 1-3 and spectral ranges are given in Table 8.…”
Section: Identification Of Organic Carbon (Oc) By Ftirmentioning
confidence: 99%