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Assessment of the capability of an optical sensor for in-line real-time wastewater quality analysis in food manufacturing

机译:评估光学传感器在食品制造中在线实时废水质量分析的能力

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p id="sp0045"This work investigates the use of a commercial optical product monitor to achieve in-line real-time water content analysis. Test fluids were used and optical measurements of attenuation of light intensity at four colours were made. These measurements were used to identify any relationship between these and the water quality parameters of turbidity and colour. Variation in light attenuation for turbidities up to 1700?NTU was successfully resolved by the instrument, with optical data for turbidities ≥?20?NTU fitting well the Beer-Lambert model. The sensor was also able to clearly identify the effect of filtering out suspended solids with unfiltered samples (apparent colour) exhibiting significantly higher attenuation coefficients than filtered samples (true colour). Further studies will concentrate on whether the instrument can analyse samples with turbidities higher than 1700?NTU, together with further investigating the variation in the attenuation coefficient seen with turbidity and colour of light.
机译:id =“ sp0045”>这项工作研究了商用光学产品监控器的使用,以实现在线实时水含量分析。使用测试流体,并进行了四种颜色的光强度衰减的光学测量。这些测量被用来识别这些与浊度和颜色的水质参数之间的任何关系。仪器成功解决了浊度高达1700?NTU的光衰减变化,浊度≥20?NTU的光学数据与Beer-Lambert模型非常吻合。该传感器还能够清楚地识别出未过滤样品(明显的颜色)的衰减系数明显高于已过滤样品(真实的颜色)的未过滤样品(明显的颜色)过滤掉悬浮固体的效果。进一步的研究将集中在该仪器是否可以分析浊度高于1700?NTU的样品上,并进一步研究浊度和光色对衰减系数的影响。

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