Institute of Waste Management, Department of Water, Atmosphere and Environment, University of Natural Resources and Applied Life Sciences, Muthgasse 107, 1190 Vienna, Austria.
Waste Manag. 2010 Apr;30(4):583-90. doi: 10.1016/j.wasman.2009.09.037. Epub 2009 Oct 24.
The Austrian Landfill Ordinance provides limit values regarding the reactivity for the disposal of mechanically biologically treated (MBT) waste before landfilling. The potential reactivity determined by biological tests according to the Austrian Standards (OENORM S 2027 1-2) can be underestimated if the microbial community is affected by environmental conditions. New analytical tools have been developed as an alternative to error-prone and time-consuming biological tests. Fourier Transform Infrared (FT-IR) spectroscopy in association with Partial Least Squares Regression (PLS-R) was used to predict the reactivity parameters respiration activity (RA(4)) and gas generation sum (GS(21)) as well as to detect errors resulting from inhibiting effects on biological tests. For this purpose 250 MBT-waste samples from different Austrian MBT-plants were investigated using FT-IR spectroscopy in the mid (MIR) and near infrared (NIR) area and biological tests. Spectroscopic results were compared with those from biological tests. Arising problems caused by interferences of RA(4) and GS(21) are discussed. It is shown that FT-IR spectroscopy predicts RA(4) and GS(21) reliably to assess stability of MBT-waste materials and to detect errors.
奥地利垃圾填埋条例规定了机械生物处理（MBT）废物在填埋前的反应性限值。如果微生物群落受到环境条件的影响，根据奥地利标准（OENORM S 2027 1-2）确定的潜在反应性可能会被低估。已经开发了新的分析工具来替代易出错和耗时的生物测试。傅里叶变换红外（FT-IR）光谱结合偏最小二乘回归（PLS-R）用于预测反应性参数呼吸活性（RA(4)）和气体生成总和（GS(21)），以及检测生物测试中因抑制作用而导致的误差。为此，使用 FT-IR 光谱在中红外（MIR）和近红外（NIR）区域以及生物测试中对来自不同奥地利 MBT 工厂的 250 个 MBT 废物样品进行了研究。将光谱结果与生物测试结果进行了比较。讨论了 RA(4)和 GS(21)干扰引起的问题。结果表明，FT-IR 光谱可以可靠地预测 RA(4)和 GS(21)，以评估 MBT 废物材料的稳定性并检测误差。
