Albrecht Remy, Joffre Richard, Le Petit Jean, Terrom Gerard, Périssol Claude
Institut Méditerranée d'Ecologie et de Paléoécologie (UMR CNRS IRD), Aix-Marseille Université, Faculté des Sciences et Techniques de Saint-Jérôme, 13397 Marseille Cedex 20, France.
Environ Sci Technol. 2009 Feb 1;43(3):804-11. doi: 10.1021/es802064u.
Cocomposting of green wastes and sewage sludges is a complex process involving rapid biological and chemical changes. The objective of the study was to assess the usefulness of near-infrared reflectance spectroscopy (NIRS) to characterize these changes, as an alternative to standard procedures which are often time-consuming and laborious. Samples obtained during 146 days of composting were analyzed by 14 conventional methods and NIRS. Results from conventional methods demonstrated a noticeable separation into two distinct phases. An initial phase from 4 to 50-60 days was characterized by intensive degradation. A second phase up to 146 days was characterized by a decrease in all biological activities. NIRS calibrations allowed accurate predictions of nitrogen (N), carbon (C), C/N, humic acid (HA), pH, respiration, cellulase, phenoloxidase, and composting time successfully. Results were less accurate for organic matter (OM), protease, acid, and alkaline phosphatases and unsatisfactory for fulvic acid. NIRS calibration allows composting time/state of progress of maturation to be predicted accurately to within 10 days. A global index of composting evolution (GICE), resulting from the 14 parameters studied, is proposed. It is precisely predicted and shows that since NIRS is able to predict essential parameters of compost maturity, it could prove invaluable for monitoring biowastes cocomposting.
绿色废弃物与污水污泥的共堆肥是一个涉及快速生物和化学变化的复杂过程。本研究的目的是评估近红外反射光谱法(NIRS)用于表征这些变化的有效性,作为对通常耗时且费力的标准程序的一种替代方法。在146天的堆肥过程中获取的样品通过14种传统方法和NIRS进行了分析。传统方法的结果显示明显分为两个不同阶段。从第4天到50 - 60天的初始阶段以强烈降解为特征。直至146天的第二阶段以所有生物活性的降低为特征。NIRS校准成功地实现了对氮(N)、碳(C)、C/N、腐殖酸(HA)、pH值、呼吸作用、纤维素酶、酚氧化酶和堆肥时间的准确预测。对于有机质(OM)、蛋白酶、酸性和碱性磷酸酶的预测结果准确性稍低,对富里酸的预测结果不令人满意。NIRS校准能够将堆肥时间/成熟进展状态准确预测到10天以内。基于所研究的14个参数提出了一个堆肥演变综合指数(GICE)。该指数得到了精确预测,结果表明由于NIRS能够预测堆肥成熟的关键参数,它在监测生物废弃物共堆肥方面可能具有极高价值。