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Curve-fitting techniques improve the mid-infrared analysis of soil organic carbon: a case study for Brookston clay loam particle-size fractions

机译:曲线拟合技术改善了土壤有机碳的中红外分析:以布鲁克斯顿黏土壤土粒度级分为例

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摘要

Few studies have evaluated structural features of soil organic carbon (SOC) in different soil particle fractions, especially SOC changes induced by tillage, using Fourier transformed mid-infrared (MIR) spectroscopy. To make a contribution in this context, soil samples of a Brookston clay loam (mesic Typic Argiaquoll) with averaged pH and organic matter concentration at 7.28 and 43.9 g kg−1, respectively, were collected from short-term no-tillage (NT97) and mouldboard plow (CT97) treatments initiated in 1997 and long-term no-tillage (NT83) and mouldboard plow (CT83) treatments initiated in 1983 under a corn-soybean rotation, and were separated into sand, silt, and clay fractions using sonication. Structural features of SOC in these soil fractions were investigated using curve-fitting analysis of mid-infrared (MIR) spectra. Aromatic C content was found to be greater in clay- than in sand-sized fractions, while aliphatic C content was higher in sand- than in silt- and clay-sized particles. With decrease in tillage intensity, the aliphatic C gradually increased in sand- and clay-sized fractions but not in the silt-sized fraction. The aliphatic C content in sand fraction was significantly greater in NT83 than CT83 (P < 0.05). The aromatic C in silt- and clay-sized fractions was greater in NT83 than in both CT soils, whereas aromatic C contents were higher in both CT soils than in NT83 soil. Significantly higher aromatic/aliphatic C ratio in CT83 than NT83 was found in sand-sized fractions, while the opposite trend was found in the silt-sized fraction. These findings were not apparent until the curve-fitting technique was employed, which has the capacity to quantify many overlapped bands in the spectra. This study demonstrates that the curve-fitting of MIR spectra advances the analysis of organic matter in soil samples.
机译:很少有研究使用傅立叶变换中红外(MIR)光谱技术评估不同土壤颗粒部分中土壤有机碳(SOC)的结构特征,尤其是耕作引起的SOC变化。为了在这种情况下做出贡献,从短距平地收集了布鲁克斯顿壤土(典型的Typic Argiaquoll)的土壤样品,其平均pH和有机物浓度分别为7.28和43.9μgkg -1 。在玉米-大豆轮作下,于1997年开始进行长期免耕(NT97)和mo板犁(CT97)处理,并于1983年开始进行长期免耕(NT83)和mo板犁(CT83)处理,并分成沙子,淤泥和粘土成分采用超声处理。使用中红外(MIR)光谱的曲线拟合分析研究了这些土壤组分中SOC的结构特征。发现粘土中的芳族C含量要比沙子大小的馏分高,而沙子中的脂肪族C含量要比粉砂和粘土大小的颗粒高。随着耕作强度的降低,脂肪族碳的含量在砂和粘土大小的馏分中逐渐增加,但在淤泥大小的馏分中却没有增加。在NT83中,砂级分中的脂肪族碳含量明显高于CT83(P <0.05)。在NT83中,粉尘和黏土级分中的芳烃C均高于两种CT土壤,而两种CT土壤中的芳烃C含量均高于NT83。在砂粒级分中,CT83中的芳族/脂肪族碳比明显高于NT83,而在粉砂级分中则发现相反的趋势。在采用曲线拟合技术之前,这些发现并不明显,该技术具有量化光谱中许多重叠谱带的能力。这项研究表明,MIR光谱的曲线拟合促进了土壤样品中有机物的分析。

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