Quality Data from Messy Spectra: How Isometric Points Increase Information Content in Highly Overlapping Spectra

被引：6
|
作者：
Kaspar, Felix [1 ,2 ]
机构：
[1] Tech Univ Carolo Wilhelmina Braunschweig, Inst Biochem Biotechnol & Bioinformat, Spielmannstr 7, D-38106 Braunschweig, Germany
[2] Tech Univ Berlin, Inst Biotechnol, Fac Process Sci 3, Chair Bioproc Engn, Ackerstr 76, D-13355 Berlin, Germany
来源：
CHEMBIOCHEM | 2023年
关键词：
IR spectroscopy; isosbestic points; normalization; UV spectroscopy; ISOSBESTIC POINTS; REACTIR; TOOLS;
D O I：
10.1002/cbic.202200744
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
Spectroscopic techniques are immensely useful for obtaining information about chemical transformations while they are happening. However, such data are often messy, and it is challenging to extract reliable information from them without careful calibrations or internal standards. This short introductory review discusses how isometric points (points in a spectrum where the signal intensity remains constant throughout the progress of a chemical transformation) can be used to derive high-quality data from messy spectra. Such analyses are helpful in a variety of (bio-)chemical settings, as selected case studies demonstrate.
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页数：8
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