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利用短波近红外光谱监测地下水的水色分析学。

Aquaphotomics for monitoring of groundwater using short-wavelength near-infrared spectroscopy.

机构信息

Department of Measurements and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 14-16 Somlói str, Budapest 1118, Hungary.

Aquaphotomics Research Department, Graduate School of Agricultural Science, Kobe University, 1-1, Rokkodai, Nada, Kobe 657-8501, Japan.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2022 Oct 15;279:121378. doi: 10.1016/j.saa.2022.121378. Epub 2022 May 11.

Abstract

Water spectrum of any aqueous system contains information about OH covalent and hydrogen bonds that are highly influenced by the environment and the rest of the molecules in the system. When aquaphotomics is used to analyze the water near infrared (NIR) spectra, the information about the water molecular structure can be obtained as a function of internal and external factors. The objective of this research is to apply aquaphotomics analysis to evaluate different groundwaters by using their NIR unique spectral pattern, robust to external influences of temperature and humidity, that can potentially be used for water type identification and screening practice. Two groundwaters obtained at different depths and their mixture, differing in mineral content and molecular structure were monitored on a daily basis using portable visible/NIR (vis/NIR) spectrometer during three consecutive years. The spectra were pre-processed by smoothing and multiplicative scatter correction (MSC) to remove noise and baseline effects. Results showed that NIR spectral patterns of groundwater samples were affected by changes in environmental factors - temperature, humidity, time and others. The water absorbance bands which are highly influenced by humidity and temperature in short wavelength NIR region were identified. Their avoidance resulted in obtaining consistent spectral patterns during the entire monitoring period, unique for each groundwater, that can be used as its fingerprint and monitored over time. Consistency and uniqueness of the spectral pattern for each groundwater provide a potential to use the deviation of spectral pattern as an indicator of changes in the water. These results confirm that vis/NIR spectral pattern can be used as an integrative marker of water status, stable over time, providing the basis for an efficient cost-effective method for monitoring of water functionality.

摘要

任何水系统的水光谱都包含有关 OH 共价键和氢键的信息,这些信息受环境和系统中其他分子的影响很大。当使用水生光学生物分析来分析水近红外(NIR)光谱时,可以获得有关水分子结构的信息,这些信息是作为内部和外部因素的函数。本研究的目的是应用水生光学生物分析来评估不同的地下水,方法是利用其对温度和湿度等外部影响具有稳健性的独特 NIR 光谱模式,这种模式有可能用于水类型识别和筛选实践。在连续三年的时间里,使用便携式可见/近红外(vis/NIR)光谱仪每天监测来自不同深度的两种地下水及其混合物,这些地下水在矿物质含量和分子结构方面存在差异。对光谱进行平滑和乘法散射校正(MSC)预处理,以消除噪声和基线影响。结果表明,地下水样品的 NIR 光谱模式受环境因素(温度、湿度、时间等)变化的影响。在短波长 NIR 区域中受湿度和温度强烈影响的水吸收带被识别出来。避免这些带可以在整个监测期间获得一致的光谱模式,每个地下水都有其独特的模式,可作为其指纹并随时间进行监测。每种地下水的光谱模式的一致性和独特性为使用光谱模式的偏差作为水变化的指示提供了潜力。这些结果证实,vis/NIR 光谱模式可以用作水状态的综合标志物,随着时间的推移保持稳定,为监测水功能的高效、具有成本效益的方法提供了基础。

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