Real-life application of a QCM-based e-nose: quantitative characterization of different plant-degradation processes.

摘要: Continuous surveillance of composting processes would enable a feedback loop to be obtained for both analysis and process control. For this purpose, we designed e-noses based on six-electrode quartz-crystal microbalance (QCM) array coated with affinity materials molecularly imprinted polymers (MIP). They quantitative monitoring volatile organic compounds (VOCs) emitted directly in compost bin are highly suitable tools achieving on-line characterization the degradation occurring. During grass pine (duration 14 days 40 days, respectively), observed concentrations up 250 ppm esters, 700 alcohols, terpenes, 90% relative humidity such system could validate data off-line by GC-MS. The sensor also gave direct insight into differences between two batch types. Besides duration, during larger amounts alcohols whereas amount terpenes is twice as high composting. Detailed correlation GC-MS allows approximate estimation sensitivity towards analyte classes as, e.g., aliphatic or terpenes.