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Determination of chemical and biological properties of composts using near infrared spectroscopy

机译:使用近红外光谱法测定堆肥的化学和生物学特性

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Successful use of compost to maintain plant health and soil fertility requires consistent monitoring of compost quality. For this purpose, near infrared (NIR) spectroscopy might be a useful alternative to standard procedures which are often time-consuming and laborious. Ninety-eight yard-waste compost samples were analysed by conventional methods and NIR spectroscopy. Reference analysis included the determination of age, organic C (C{sub}(org)) and total N (N{sub}t) contents, C/N ratio, microbial biomass (C{sub}(mic)), the ratio of C{sub}(mic) to organic C (C{sub}(mic)/C{sub}(org)), basal respiration, metabolic quotient (qCO{sub}2), hydrolysis of fluorescein diacetate (FDA-HR), specific enzyme activity, i.e. FDA-HR related to C{sub}(mic), and suppression of pathogens. All samples were scanned in the visible light and near infrared regions (400-2500 nm). Cross-validation equations were developed using the whole spectrum (first and second derivative) and a modified partial least-square regression method. NIR predicted basal respiration and age successfully [ratio of standard deviation and standard error of cross-validation (RPD) was 4.3 or 2.9, respectively]. All other properties, i.e. C{sub}(org) and N{sub}t contents, C/N ratio, C{sub}(mic), C{sub}(mic)/C{sub}(org), qCO{sub}2, FDA-HR, specific enzyme activity and suppression of pathogens at an inoculation level of 5‰ related to rating or fresh weight, respectively, were predicted with moderate success (1.4≤RPD≤2.0). However, the coefficients of determination for specific enzyme activity and suppression of pathogens related to fresh weight were rather low (r{sup}2=0.49 and 0.47, respectively). The results presented indicate that NIR spectroscopy is able to determine important compost quality parameters. However, further research is needed concerning the basis of and limitations for the determination of specific enzyme activity and suppressiveness by NIR spectroscopy.
机译:成功使用堆肥维持植物健康和土壤肥力需要对堆肥质量进行持续监控。为此,近红外(NIR)光谱可能是标准程序的有用替代方法,这些程序通常很耗时且费力。通过常规方法和近红外光谱分析了九十八码废物堆肥样品。参考分析包括测定年龄,有机碳(C {sub}(org))和总氮(N {sub} t)含量,C / N比,微生物生物量(C {sub}(mic)),比例C {sub}(mic)转换为有机C(C {sub}(mic)/ C {sub}(org)),基础呼吸,代谢商(qCO {sub} 2),双乙酸荧光素水解(FDA-HR ),特定的酶活性(即与C {sub}(mic)相关的FDA-HR)和病原体抑制。在可见光和近红外区域(400-2500 nm)中扫描所有样品。使用整个光谱(一阶和二阶导数)和改进的偏最小二乘回归方法开发了交叉验证方程。 NIR成功预测了基础呼吸和年龄[标准偏差和交叉验证的标准误的比率(RPD)分别为4.3或2.9]。所有其他属性,即C {sub}(org)和N {sub} t含量,C / N比,C {sub}(mic),C {sub}(mic)/ C {sub}(org),qCO {sub} 2,FDA-HR,特异性酶活性和病原体抑制在分别与额定值或鲜重相关的5‰接种水平下被预测为中等成功(1.4≤RPD≤2.0)。但是,与鲜重有关的比酶活性测定和病原体抑制的测定系数相当低(分别为r {sup} 2 = 0.49和0.47)。给出的结果表明,近红外光谱技术能够确定重要的堆肥质量参数。但是,需要进一步的研究,以通过NIR光谱法测定特定酶活性和抑制性的基础和局限性。

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