ethylene detection in fruit supply chains
水果供应链中乙烯的检测方法
s. janssen1,2,3, k. schmitt6, m. blanke5,m. l. bauersfeld6, j. wöllenstein4,6 andw. lang1,2,3
1institute for microsensors, -actuators and -systems (imsas), university of bremen, otto-hahn-allee nw1, bremen 28359, germany
2microsystems center bremen (mcb), bremen, germany
3bremen research cluster for dynamics in logistics (logdynamics), bremen, germany
4department of microsystems engineering, university of freiburg, freiburg, germany
5inres—horticultural science, university of bonn, bonn, germany
6fraunhofer institute for physical measurement techniques (ipm), freiburg, germany
abstract
ethylene is a gaseous ripening phytohormone of fruits and plants. presently, ethylene is primarily measured with stationary equipment in laboratories.
applying in situ measurement at the point of natural ethylene generation has been hampered by the lack of portable units designed to detect
ethylene at necessary resolutions of a few parts per billion. moreover, high humidity inside controlled atmosphere stores or containers complicates the
realization of gas sensing systems that are sufficiently sensitive, reliable, robust and cost efficient. in particular, three measurement principles have shown promising potential for fruit supply chains and were used to develop independent devices: nondispersive infrared spectroscopy, miniaturized gas
chromatography and electrochemical measurement. in this paper, the measurement systems for ethylene are compared with regard to the needs in fruit
logistics; i.e. sensitivity, selectivity, long-term stability, facilitation of automated measurement and suitability for application. resolutions of 20–10 ppb can be achieved in applications with state-of-theart equipment, operating with the three methods described in the following.
乙烯是一种水果和植物的气体催熟激素。目前,乙烯主要是在实验室用固定设备进行测定的。由于缺乏用于检测的便携式装置,在天然乙烯生产点进行现场测量受到阻碍。
乙烯的必要分辨率为十亿分之几。此外,受控大气存储或容器内的高湿度对传感器较为敏感、可靠、稳健和经济高效的气体传感系统。尤其是,三种测量原理显示了水果供应链的潜在潜力,并被用于开发独立的移动设备:非色散红外光谱、小型化气体。色谱和电化学测量。本文根据水果生产的需要,对乙烯测定系统进行了比较物流;即敏感性、选择性、长期稳定性、自动化测量的便利性和移动应用的适用性。分辨率为20–10 ppb,可在移动应用程序中通过rt设备状态实现,操作方法如下所述。
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