Literature DB >> 23260672

Characterisation of hydrogen bond perturbations in aqueous systems using aquaphotomics and multivariate curve resolution-alternating least squares.

A A Gowen1, J M Amigo, R Tsenkova.   

Abstract

Aquaphotomics is a new discipline that provides a framework for understanding changes in the structure of water caused by various perturbations, such as variations in temperature or the addition of solutes, using near infrared spectroscopy (NIRS). One of the main purposes of aquaphotomics is to identify water bands as main coordinates of future absorbance patterns to be used as biomarkers. These bands appear as consequence of perturbations in the NIR spectra. Curve resolution techniques may help to resolve and find new water bands or confirm already known bands. The aim of this study is to investigate the application of multivariate curve resolution-alternating least squares (MCR-ALS) to characterise the effects of various perturbations on the NIR spectra of water in terms of hydrogen bonding. For this purpose, the perturbations created by temperature change and the addition of four solutions of different ionic strength and Lewis acidity were studied (NaCl, KCl, MgCl(2) and AlCl(3), with concentrations ranging from 0.2 to 1 mol L(-1) in steps of 0.2 mol L(-1)). Transmission spectra of all salt solutions and pure water were obtained at temperatures ranging from 28 to 45°C. We have found that three distinct components with varying temperature dependence are present in water perturbed by temperature. The salt solutions studied exhibited similar trends with respect to the temperature perturbation, while the peak locations of their MCR-ALS pure components varied according to the ionic strength of the salt used.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23260672     DOI: 10.1016/j.aca.2012.10.007

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  7 in total

1.  Development of Noninvasive Classification Methods for Different Roasting Degrees of Coffee Beans Using Hyperspectral Imaging.

Authors:  Bingquan Chu; Keqiang Yu; Yanru Zhao; Yong He
Journal:  Sensors (Basel)       Date:  2018-04-19       Impact factor: 3.576

2.  A study on the application of near infrared hyperspectral chemical imaging for monitoring moisture content and water activity in low moisture systems.

Authors:  Eva Achata; Carlos Esquerre; Colm O'Donnell; Aoife Gowen
Journal:  Molecules       Date:  2015-02-03       Impact factor: 4.411

3.  Essentials of Aquaphotomics and Its Chemometrics Approaches.

Authors:  Roumiana Tsenkova; Jelena Munćan; Bernhard Pollner; Zoltan Kovacs
Journal:  Front Chem       Date:  2018-08-28       Impact factor: 5.221

4.  Evaluating Spectral Signals to Identify Spectral Error.

Authors:  George Bazar; Zoltan Kovacs; Roumiana Tsenkova
Journal:  PLoS One       Date:  2016-01-05       Impact factor: 3.240

5.  Synchrotron X-ray footprinting as a method to visualize water in proteins.

Authors:  Sayan Gupta; Jun Feng; Leanne Jade G Chan; Christopher J Petzold; Corie Y Ralston
Journal:  J Synchrotron Radiat       Date:  2016-07-27       Impact factor: 2.616

6.  A Novel Tool for Visualization of Water Molecular Structure and Its Changes, Expressed on the Scale of Temperature Influence.

Authors:  Zoltan Kovacs; Bernhard Pollner; George Bazar; Jelena Muncan; Roumiana Tsenkova
Journal:  Molecules       Date:  2020-05-09       Impact factor: 4.411

7.  Correction of Temperature Variation with Independent Water Samples to Predict Soluble Solids Content of Kiwifruit Juice Using NIR Spectroscopy.

Authors:  Harpreet Kaur; Rainer Künnemeyer; Andrew McGlone
Journal:  Molecules       Date:  2022-01-14       Impact factor: 4.411

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.