格洛马林
吸光度
稀释
布拉德福德蛋白质测定
校准曲线
化学
色谱法
标准曲线
土壤质地
土壤水分
检出限
环境科学
土壤科学
物理
热力学
生物
遗传学
细菌
共生
丛枝菌根
作者
Lur Moragues‐Saitua,Luis Merino‐Martín,Alexia Stokes,Siobhán Staunton
摘要
Glomalin‐related soil protein (GRSP), an operationally defined fraction of soil organic matter containing protein and various other components, is usually quantified using the colorimetric nonspecific Bradford method. This method is limited by a short working range, a nonlinear response and interference from co‐extracted compounds. These limitations hinder the exact quantification of the protein component. The aim of this study was to investigate the source of interference in the Bradford quantification of GRSP and propose several methodological improvements based on identified interferences. The easily extractable and total GRSP in five topsoils with contrasting texture, organic carbon content and land use were compared. Results showed that: (a) the extent of interference varied between different soils, (b) the standard addition method overestimated the extent of inhibition, (c) absorbance should be corrected for colour, (d) use of the ratio of absorbances at 595 and 465 nm, A 595 /A 465 , is not recommended because it is sensitive to pH and dilution‐dependent absorbance at 465 nm, (e) although a quadratic fit to the protein calibration curve was better than the linear fit, it was not possible for the dilution method, and (f) estimation of protein content from the dilution curve of the soil extract appeared to be suitable as it integrates the often observed, and hitherto unexplained, effect of dilution on the calculated protein content of soil extracts and avoids artefacts because of the choice of protein spike and dilution. Highlights Soil protein colorimetric quantification is hampered by co‐extracted compounds. Variants of Bradford assay of glomalin‐related soil protein are tested for five contrasting soils. Direct assay underestimates soil protein, but standard addition may overestimate. Controlled sample dilution with colour correction might give the best estimate of soil protein.
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