Bourgeois Wilfrid, Romain Anne-Claude, Nicolas Jacques, Stuetz Richard M
School of Water Sciences, Cranfield University, Cranfield, UK MK43 0AL.
J Environ Monit. 2003 Dec;5(6):852-60. doi: 10.1039/b307905h.
Continuous, in situ monitoring of air, water and land quality is fundamental to most environmental applications. Low cost and non-invasive chemical sensor arrays provide a suitable technique for in situ monitoring. Their ability and performance under realistic conditions is discussed in this paper. Published studies report promising results despite a number of limitations that are associated with both the technology itself and its application in ever changing ambient conditions. Early investigations include the analysis of single substances as well as odour and wastewater organic load monitoring. Reported applications typically highlight the sensitivity of the currently available sensors to changes in temperature, humidity and flow rate. Two types of approaches are recommended to deal with these effects: either working under fixed experimental conditions or measuring the external parameters to numerically compensate for their change. The main challenge associated with the use of non-specific sensor arrays lies in establishing a relationship between the measured multivariate signals and the standards metrics that are traditionally used for quality assessment of gas mixtures. For instance, odour monitoring requires calibration against olfactometric measurements while investigations of wastewater samples still need to be correlated with organic pollution parameters such as BOD, COD or TOC. On the other hand, results obtained in the field have demonstrated how sensor arrays can be readily used as simple alarm devices or as early warning systems based on a general air/water quality index.
对空气、水和土地质量进行连续的原位监测是大多数环境应用的基础。低成本且非侵入式的化学传感器阵列提供了一种适合原位监测的技术。本文讨论了它们在实际条件下的能力和性能。尽管该技术本身及其在不断变化的环境条件下的应用存在一些局限性,但已发表的研究报告了令人鼓舞的结果。早期的研究包括对单一物质的分析以及气味和废水有机负荷监测。报道的应用通常强调了当前可用传感器对温度、湿度和流速变化的敏感性。建议采用两种方法来应对这些影响:要么在固定的实验条件下工作,要么测量外部参数以数字方式补偿其变化。使用非特异性传感器阵列的主要挑战在于建立测量的多变量信号与传统上用于气体混合物质量评估的标准指标之间的关系。例如,气味监测需要根据嗅觉测量进行校准,而废水样品的研究仍需要与有机污染参数(如生化需氧量、化学需氧量或总有机碳)相关联。另一方面,在实地获得的结果表明了传感器阵列如何能够很容易地用作基于一般空气/水质指数的简单报警装置或早期预警系统。