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首页> 外文期刊>Journal of near infrared spectroscopy >The use of near infrared spectroscopy to quantify lignite-derived carbon in humus-lignite mixtures
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The use of near infrared spectroscopy to quantify lignite-derived carbon in humus-lignite mixtures

机译:使用近红外光谱对腐殖质-褐煤混合物中褐煤衍生的碳进行定量

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Assessment of the percentage of lignite-derived C (lign-C%) in mine soils may be achieved only by using time-consuming and expensive methods. The objectives of this study were (1) to compare near infrared (NIR) spectra of forest humus and lignite and (2) to test whether NIR spectroscopy may assess lign-C% in artificial mixtures of humus and lignite. The experiment consisted of three trials (T1, T2 and T3). In T1 the mixed samples (n = 75) were produced from one humus sample and one lignite sample, in T2 (n = 74) from 74 different humus samples and one lignite sample and in T3 (n = 74) from 74 different humus samples and 15 lignite samples. In each trial, 35 samples were used to develop calibration equations and the remaining samples were used for validation. The humus and the lignite samples used to produce the mixed samples were analysed for C, H, N and S and their NIR spectra were recorded. The lignite samples contained more C, H and S and less N than the humus samples. Principal component analysis revealed significant differences between NIR spectra of the humus and the lignite samples. The prediction of lign-C% in Tl [regression coefficient (b) of linear regression (measured against predicted values) = 0.99, correlation coefficient (r{sup}2) = 1.00, standard error of prediction (SEP) = 1.2%] and T2 (b = 0.99, r{sup}2 = 0.99, SEP = 1.9%) was very good and in T3 satisfactory (6 = 0.83, r{sup}2 = 0.92, SEP = 4.0%). The calibration equations of T2 predicted lign-C% satisfactorily and also in the validation samples of T3 (b = 0.88, r{sup}2 = 0.93, SEP = 4.0%). The results indicate the ability of NIR spectroscopy to predict lign-C% in the mixed humus and lignite samples and suggest usefulness of NIR spectroscopy for the assessment of the percentage of lignite-derived C in the organic horizons of mine soils.
机译:仅通过使用耗时且昂贵的方法,才能评估矿山土壤中褐煤衍生的C的百分比(lign-C%)。这项研究的目的是(1)比较森林腐殖质和褐煤的近红外(NIR)光谱,以及(2)测试NIR光谱法是否可以评估腐殖质和褐煤的人工混合物中木质素C%。该实验包括三个试验(T1,T2和T3)。在T1中,一种腐殖质样品和一种褐煤样品的混合样品(n = 75),在74种不同腐殖质样品和一种褐煤样品的T2(n = 74)中以及在74种不同腐殖质样品的T3(n = 74)中产生和15个褐煤样品。在每个试验中,使用35个样品建立校准方程式,其余样品用于验证。分析用于生产混合样品的腐殖质和褐煤样品的C,H,N和S并记录其近红外光谱。褐煤样品比腐殖质样品含有更多的C,H,S和N。主成分分析表明,腐殖质和褐煤样品的近红外光谱之间存在显着差异。 T1中的Lign-C%的预测[线性回归的回归系数(b)(针对预测值测量)= 0.99,相关系数(r {sup} 2)= 1.00,预测标准误差(SEP)= 1.2%] T2(b = 0.99,r {sup} 2 = 0.99,SEP = 1.9%)非常好,在T3中令人满意(6 = 0.83,r {sup} 2 = 0.92,SEP = 4.0%)。 T2的校准方程令人满意地预测了木质素C%,并且在T3的验证样本中也令人满意(b = 0.88,r {sup} 2 = 0.93,SEP = 4.0%)。结果表明,近红外光谱法能够预测腐殖质和褐煤混合样品中的木质素C%,并表明近红外光谱法可用于评估矿质土壤有机层中源自褐煤的碳的百分比。

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