The contribution brings together our most recent papers, dealing with stochastic dynamics mass spectrometry, the first of which is written specially for this book. It can be regarded as introductory review-chapter, which represents, in fact, an overview of contributions devoted to methodological development of quantitative and structural stochastic dynamics mass spectrometric approaches to soft-ionization methods.
The books are primarily intended for widespread use of graduated students, who after the first introductory Chapter 1 to the field of stochastic dynamics soft-ionization quantitative and 3D structural mass spectrometry may wish to deepen their knowledge of primary application of model formulas to hard-ionization approaches. Of course, we hope that it shall be useful not only to undergraduate student, but also to both junior and senior academics and researchers in the analytical mass spectrometry. Owing to the fact, that analytical mass spectrometry is robust method for quantitative and structural analysis, amongst others, not only for fundamental science and a lot of specific scientific disciplines, but also to the industry, the book is designed to serve major and specific goals of both science and various branches of the industry.
Table of Contents
CHAPTER 1
Stochastic dynamics soft-ionization mass spectrometric method for quantitative and 3D structural analyses – a review-chapter
INTRODUCTION
2. QUANTITATIVE MASS SPECTROMETRY – AN OVERVIEW
2.1. Theoretical concepts of quantifying analytes mass spectrometrically
2.2. Quantitative mass spectrometric analysis of pharmaceutics and compounds suspecting to cause adverse health effects to humans
3. STRUCTURAL MASS SPECTROMETRY – AN OVERVIEW
4. STOCHASTIC DYNAMIC MASS SPECTROMETRIC THEORY
4.1. Formalism of the stochastic dynamic theory
4.2. Application of the stochastic dynamic mass spectrometric theory
4.2.1. Stochastic dynamic mass spectrometric quantitative analysis in condensed phases
4.2.2. Stochastic dynamic mass spectrometric 3D molecular structural analysis
4.2.2.1. Calculation of quantum chemical diffusion parameters according to Arrhenius’s model equation
4.2.2.2. Correlation between theory and experiment
CONCLUSION
CHAPTER 2
Stochastic dynamic single particle inductively coupled plasma mass spectrometric quantitative analysis of gold nanoparticles
INTRODUCTION
2. EXPERIMENTAL
2.1. Materials and methods
2.2. Chemometrics
3. RESULTS
4. DISCUSSION
CONCLUSION
Research Objectives and Key Topics
The work aims to establish a new stochastic dynamic theory for mass spectrometry that enables exact quantitative and structural analysis of analytes, addressing the limitations of classical model equations in handling random fluctuations of experimental data. The research focuses on the development of mathematical functions that operate independently of traditional, often unreliable, calibration methods, providing precise 3D molecular and electronic structural insights.
- Theoretical development of stochastic dynamic mass spectrometric laws.
- Exact quantitative analysis of analytes in condensed phases.
- Structural 3D analysis of macromolecules and multi-component mixtures.
- Integration of quantum chemical diffusion parameters with mass spectrometric data.
- Comparative performance evaluation of stochastic dynamic models against classical analytical methods.
Excerpt from the Book
INTRODUCTION
Tremendous instrumental advantages and method performances of mass spectrometry have concentrated enormous research effort on its methodological development over recent decades, chiefly, for purposes of molecular and structural biology as well as medicinal sciences, because of proteins, nucleic acids, lipids, and glycans are ubiquitous to all living cells [1]. The biological mass spectrometry provides crucial insights into structural features of macromolecules both in vitro and in vivo. It is used broadly to determine pathogenic bacteria [2]. For purposes of clinical microbiology there are compulsory two major research tasks associated with identification of pathogens from biological fluids and testing for susceptibility of antibiotics, allowing an efficacious therapeutic treatment with antibiotics [3,4]. To this field soft ionization MS methods have replaced conventional techniques for identification in diagnostic laboratories. Those areas underwent significant development with routine implementation into research practice of ESI-MS method developed by Yamashita and Fenn in 1984, as well as, MALDI one developed by Karas and Hillenkamp in 1985 [5,6]. As soft ionization MS methods, they transfer intact macromolecules from condensed into gas phase without perturbation of 3D molecular conformations, due to their capability of preserving non-covalent interactions [7–10].
Particularly, ESI-MS is a well-known approach to produce such ions in GP, in addition to hydrate ensembles of macromolecules and charged metal ion containing hydrate and solvate complexes [11–13]. This allows us to detail on molecular sequences and structures, post-translational modifications; if any, and in vivo intermolecular interactions, which provide crucial information about individual molecular biological functions through cellular interactions with other molecules [14]. A significant advantage of MS methods appears their capability of determining protein stability, macromolecular structures and dynamics by means of so-called covalent labeling techniques [15]. For instance, those are hydrogen-deuterium exchange [16–27], fast photochemical oxidation, or chemical cross-linking approaches. Methods of MS fill a gap among time-intensive analytical instrumentation, all-atom structural methods such as nuclear
Summary of Chapters
Stochastic dynamics soft-ionization mass spectrometric method for quantitative and 3D structural analyses – a review-chapter: This chapter introduces the innovative stochastic dynamic theory as a methodological framework for quantitative and structural mass spectrometry, providing a critical review of existing mathematical models and presenting the author's new model equations for exact analyte analysis.
Stochastic dynamic single particle inductively coupled plasma mass spectrometric quantitative analysis of gold nanoparticles: This chapter applies the proposed stochastic dynamic approach to hard-ionization mass spectrometry, specifically focusing on the single-particle quantitative analysis of gold nanoparticles and demonstrating its capability to handle complex matrix effects.
Keywords
Mass spectrometry, Stochastic dynamics, Quantitative analysis, Structural 3D analysis, Hard-ionization mass spectrometric methods, Soft-ionization mass spectrometric methods, Calibration methodology, Chemometrics, Molecular conformations, Electronic structure, Isotope metal ions, Nanoparticles, Inductively coupled plasma mass spectrometry.
Frequently Asked Questions
What is the core focus of this research?
The research focuses on the methodological advancement of mass spectrometry through a new stochastic dynamic theory, aiming to move beyond classical empirical models to provide mathematically exact quantitative and 3D structural analysis of chemical and biological samples.
What are the primary thematic areas covered?
Key areas include the formalization of stochastic dynamic equations for mass spectrometry, the determination of 3D molecular conformations, the quantitative analysis of multi-component mixtures, and the application of Arrhenius’s transition state theory to mass spectrometric data.
What is the main research objective?
The primary objective is to define and justify new "stochastic dynamic" mass spectrometric laws that allow for the exact determination of analyte concentrations and structural parameters in condensed phases, overcoming limitations like matrix effects and random signal fluctuations.
Which scientific methods are utilized?
The work employs a combination of soft-ionization (ESI, MALDI) and hard-ionization (spICP-MS) mass spectrometric techniques, supported by quantum chemical calculations, transition state theory, and robust chemometric statistical criteria for method validation.
What content constitutes the main part of the book?
The main body details the theoretical formalism, provides comprehensive reviews of quantitative and structural mass spectrometry, and presents empirical evidence for the validity of the author's proposed model equations across diverse chemical systems, from small molecules to nanoparticles.
What are the critical keywords defining this work?
The work is defined by terms such as stochastic dynamics, quantitative analysis, 3D structural mass spectrometry, chemometrics, soft-ionization, and spICP-MS.
How does this theory handle "true" analytical information?
The theory defines true analytical information based on the chemometric correlation coefficient |r|=1, asserting that a scientific statement is only true when mathematical models and experimental observations show perfect correlation without bias.
What specifically does Chapter 2 contribute?
Chapter 2 bridges the gap between soft-ionization and hard-ionization methods by demonstrating the applicability of the author's stochastic dynamic equations to single-particle inductively coupled plasma mass spectrometry (spICP-MS) for analyzing gold nanoparticles.
- Arbeit zitieren
- Prof. Dr. Bojidarka Ivanova (Autor:in), Prof. Michael Spiteller (Autor:in), 2023, Stochastic Dynamics Hard- and Soft-Ionization Mass Spectrometry, München, GRIN Verlag, https://www.grin.com/document/1335649
