化学计量学
吸光度
生物系统
计算机科学
光谱分辨率
信号(编程语言)
模式识别(心理学)
人工智能
数据挖掘
谱线
化学
机器学习
色谱法
物理
生物
天文
程序设计语言
作者
Hengchang Zang,Xiaobo Ma,Lian Li,Boran Lin,Bing Zhao,Xiaoying Wei,Qin Dong,Hui Zhang
标识
DOI:10.2174/1568026623666230329090341
摘要
Abstract: Aquaphotomics, as a new discipline is a powerful tool for exploring the relationship be-tween the structure of water and the function of matter by analyzing the interaction between water and light of various frequencies. However, chemometric tools, especially the Water Absorbance Spectral Pattern (WASP) determinations, are essential in this kind of data mining. In this review, different state-of-the-art chemometrics methods were introduced to determine the WASP of aque-ous systems. We elucidate the methods used for identifying activated water bands in three aspects, namely: 1) improving spectral resolution; the complexity of water species in aqueous systems leads to a serious overlap of NIR spectral signals, therefore, we need to obtain reliable information hidden in spectra, 2) extracting spectral features; sometimes, certain spectral information cannot be re-vealed by simple data processing, it is necessary to extract deep data information, 3) overlapping peak separation; since the spectral signal is produced by multiple factors, overlapping peak separa-tion can be used to facilitate the extraction of spectral components. The combined use of various methods can characterize the changes of different water species in the system with disturbance and can determine the WASP. WASPs of research systems vary from each other, and it is visually dis-played in the form of the aquagram. As a new omics family member, aquaphotomics could be ap-plied as a holistic marker in multidisciplinary fields.
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