Improvements To The Analytical Capabilities Of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry PDF Download
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Author | : Patrick Alan Limbach |
Publisher | : |
Total Pages | : 494 |
Release | : 1992 |
Genre | : |
ISBN | : |
Download Improvements to the Analytical Capabilities of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry Book in PDF, ePub and Kindle
Author | : Xinzhen Jane Xiang |
Publisher | : |
Total Pages | : 554 |
Release | : 1994 |
Genre | : |
ISBN | : |
Download Improvements in the Analytical Capabilities and Understanding of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry Book in PDF, ePub and Kindle
Author | : B. Asamoto |
Publisher | : Wiley |
Total Pages | : 306 |
Release | : 1991-11-11 |
Genre | : Science |
ISBN | : 9780471187349 |
Download FT-ICR/MS Book in PDF, ePub and Kindle
An in-depth look at many of the applications where FT-ICR mass spectrometry is implemented. Contributing authors emphasize ways in which FT-ICR provides superior information to that of other types of mass spectrometers as well as where it may be less informative than other mass spectrometers. With the information provided, analytical chemists will be capable of assessing the usefulness of FT-ICR versus other mass spectrometric methods for their particular needs. Comprehensive chapters cover the history of ICR and other techniques based on the cyclotron principles of mass analysis and offer a descriptive explanation of the theory involved in fourier transform detection and analysis. Chapters also detail features and areas of active research in instrumentation and some specifications on commercial instruments as well as the home-built American Cyanamid instrument. Application chapters cover one technique in detail and illustrate its particular area of analysis.
Author | : Bruce Asamoto |
Publisher | : Wiley-VCH |
Total Pages | : 328 |
Release | : 1991 |
Genre | : Science |
ISBN | : |
Download FT-ICR/MS Book in PDF, ePub and Kindle
Author | : Philippe Schmitt-Kopplin |
Publisher | : Elsevier |
Total Pages | : 778 |
Release | : 2019-08-11 |
Genre | : Science |
ISBN | : 0128140143 |
Download Fundamentals and Applications of Fourier Transform Mass Spectrometry Book in PDF, ePub and Kindle
Fundamentals and Applications of Fourier Transform Mass Spectrometry is the first book to delve into the underlying principles on the topic and their linkage to industrial applications. Drs. Schmitt-Kopplin and Kanawati have brought together a team of leading experts in their respective fields to present this technique from many different perspectives, describing, at length, the pros and cons of FT-ICR and Orbitrap. Numerous examples help researchers decide which instruments to use for their particular scientific problem and which data analysis methods should be applied to get the most out of their data. Covers FT-ICR-MS and Orbitrap’s fundamentals, enhancing researcher knowledge Includes details on ion sources, data processing, chemical analysis and imaging Provides examples across the wide spectrum of applications, including omics, environmental, chemical, pharmaceutical and food analysis
Author | : Peter Byron Grosshans |
Publisher | : |
Total Pages | : 416 |
Release | : 1990 |
Genre | : |
ISBN | : |
Download Improvements in Our Basic Understanding of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry Book in PDF, ePub and Kindle
Author | : Jennifer M. Hauschild |
Publisher | : |
Total Pages | : |
Release | : 2011 |
Genre | : |
ISBN | : |
Download Fourier Transform Ion Cyclotron Resonance Mass Spectrometry for Petroleomics Book in PDF, ePub and Kindle
The past two decades have witnessed tremendous advances in the field of high accuracy, high mass resolution data acquisition of complex samples such as crude oils and the human proteome. With the development of Fourier transform ion cyclotron resonance mass spectrometry, the rapidly growing field of petroleomics has emerged, whose goal is to process and analyse the large volumes of complex and often poorly understood data on crude oils generated by mass spectrometry. As global oil resources deplete, oil companies are increasingly moving towards the extraction and refining of the still plentiful reserves of heavy, carbon rich and highly contaminated crude oil. It is essential that the oil industry gather the maximum possible amount of information about the crude oil prior to setting up the drilling infrastructure, in order to reduce processing costs. This project describes how machine learning can be used as a novel way to extract critical information from complex mass spectra which will aid in the processing of crude oils. The thesis discusses the experimental methods involved in acquiring high accuracy mass spectral data for a large and key industry-standard set of crude oil samples. These data are subsequently analysed to identify possible links between the raw mass spectra and certain physical properties of the oils, such as pour point and sulphur content. Methods including artificial neural networks and self organising maps are described and the use of spectral clustering and pattern recognition to classify crude oils is investigated. The main focus of the research, the creation of an original simulated annealing genetic algorithm hybrid technique (SAGA), is discussed in detail and the successes of modelling a number of different datasets using all described methods are outlined. Despite the complexity of the underlying mass spectrometry data, which reflects the considerable chemical diversity of the samples themselves, the results show that physical properties can be modelled with varying degrees of success. When modelling pour point temperatures, the artificial neural network achieved an average prediction error of less than 10% while SAGA predicted the same values with an average accuracy of more than 85%. It did not prove possible to model any of the other properties with such statistical significance; however improvements to feature extraction and pre-processing of the spectral data as well as enhancement of the modelling techniques should yield more consistent and statistically reliable results. These should in due course lead to a comprehensive model which the oil industry can use to process crude oil data using rapid and cost effective analytical methods.
Author | : Chad R. Weisbrod |
Publisher | : |
Total Pages | : 49 |
Release | : 2010 |
Genre | : Fourier transform spectroscopy |
ISBN | : |
Download Improvement of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry Detection Technology Book in PDF, ePub and Kindle
Author | : Rebecca H. Wills |
Publisher | : |
Total Pages | : 0 |
Release | : 2014 |
Genre | : |
ISBN | : |
Download High Mass Accuracy Analytical Applications of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry Book in PDF, ePub and Kindle
Author | : Oliver C. Mullins |
Publisher | : Springer Science & Business Media |
Total Pages | : 677 |
Release | : 2007-11-08 |
Genre | : Science |
ISBN | : 0387689036 |
Download Asphaltenes, Heavy Oils, and Petroleomics Book in PDF, ePub and Kindle
With substantial contributions from experienced industrial scientists and engineers, this work will have real application towards improving process efficiency and improvement in the trillion-dollar global petroleum industry. It presents an overview of the emerging field of petroleomics, which endeavors to understand the fundamental components of crude oil. Petroleomics promises to revolutionize petroleum science in much the same way that genomics transformed the study of medicine not long ago. Asphaltenes are a particular focus, with many chapters devoted to the analysis of their structure and properties.