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采用同步荧光光谱法估算处理后污水样品的可生物降解性。

Estimating the biodegradability of treated sewage samples using synchronous fluorescence spectra.

机构信息

Department of Environment and Energy, Sejong University, 98 Gunja-dong, Gwangjin-gu, Seoul 143-747, Korea.

出版信息

Sensors (Basel). 2011;11(8):7382-94. doi: 10.3390/s110807382. Epub 2011 Jul 25.

Abstract

Synchronous fluorescence spectra (SFS) and the first derivative spectra of the influent versus the effluent wastewater samples were compared and the use of fluorescence indices is suggested as a means to estimate the biodegradability of the effluent wastewater. Three distinct peaks were identified from the SFS of the effluent wastewater samples. Protein-like fluorescence (PLF) was reduced, whereas fulvic and/or humic-like fluorescence (HLF) were enhanced, suggesting that the two fluorescence characteristics may represent biodegradable and refractory components, respectively. Five fluorescence indices were selected for the biodegradability estimation based on the spectral features changing from the influent to the effluent. Among the selected indices, the relative distribution of PLF to the total fluorescence area of SFS (Index II) exhibited the highest correlation coefficient with total organic carbon (TOC)-based biodegradability, which was even higher than those obtained with the traditional oxygen demand-based parameters. A multiple regression analysis using Index II and the area ratio of PLF to HLF (Index III) demonstrated the enhancement of the correlations from 0.558 to 0.711 for TOC-based biodegradability. The multiple regression equation finally obtained was 0.148 × Index II - 4.964 × Index III - 0.001 and 0.046 × Index II - 1.128 × Index III + 0.026. The fluorescence indices proposed here are expected to be utilized for successful development of real-time monitoring using a simple fluorescence sensing device for the biodegradability of treated sewage.

摘要

同步荧光光谱(SFS)和进水与出水废水样品的一阶导数光谱进行了比较,并建议使用荧光指数作为估计出水废水可生物降解性的一种手段。从出水废水样品的 SFS 中鉴定出三个明显的峰。蛋白质样荧光(PLF)减少,而富里酸和/或腐殖酸样荧光(HLF)增强,表明这两种荧光特征可能分别代表可生物降解和难生物降解的成分。根据从进水到出水的光谱特征变化,选择了五个荧光指数进行可生物降解性估计。在所选择的指数中,PLF 与 SFS 总荧光面积的相对分布(指数 II)与基于总有机碳(TOC)的可生物降解性表现出最高的相关系数,甚至高于基于传统需氧量的参数获得的相关系数。使用指数 II 和 PLF 与 HLF 的面积比(指数 III)进行多元回归分析,证明了基于 TOC 的可生物降解性的相关性从 0.558 提高到 0.711。最终得到的多元回归方程为 0.148×指数 II-4.964×指数 III-0.001 和 0.046×指数 II-1.128×指数 III+0.026。预计这里提出的荧光指数将用于成功开发使用简单荧光感应装置对处理污水的可生物降解性进行实时监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce6d/3231730/c3a68be799d3/sensors-11-07382f1.jpg

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