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Using Collision Model-Based Rate Coefficient Calculator for Ion-Molecule Reactions in CI-MS

Various theoretical approaches based on capture collision theory have been developed to compute the rate coefficients of ion-molecule reactions in the gas phase. These theoretical methods require the electric dipole moment and polarizability of the neutral molecule as input parameters for accurate rate coefficient calculations. Given the energetic environment inside the CI-MS drift tube, rates obtained under thermal conditions are not directly applicable to practical applications. Under the highly energetic conditions of PTR/CI-MS, rate coefficients can be obtained through parameterized trajectory calculations, as outlined by Su, which is appropriate at center-of-mass kinetic energy and higher effective temperatures.

A detailed procedure for computing rate coefficients is provided, along with a comprehensive database of thermodynamic properties for volatile compounds. This database includes the electric dipole moment, polarizability, proton affinity, and ionization energy for over 130 exotic volatile compounds and is regularly updated. Using the parameterized trajectory method, rate coefficients can be calculated for selected reagent ions by providing inputs such as the CAS number, reduced electric field applied, and temperature.

To use the database, select the desired ion, input the necessary parameters, and click the submit button. In the results section on the right-hand side, you will receive detailed information about the molecular parameters, ion energy, and rate coefficients for ion-molecule collisions, including both Langevin and parameterized collision rates. This information is particularly useful for PTR-MS experimental conditions.

Enter input values as per the sample provided.
Output values for PTR-MS conditions.

The rate calculator offers a user-friendly and comprehensive tool for obtaining crucial data, including effective temperature, rate coefficients, ion kinetic energy, and corresponding center-of-mass kinetic energy. This information is invaluable for experimentalists, enabling a deeper understanding of reaction types and collision dynamics within the PTR-MS drift tube. Such insights facilitate the accurate quantification of VOCs without the need for instrument calibration.

In addition to the calculator, the Python and Tkinter code used for its development is available on GitHub (https://github.com/Manjeetkb/rate-coefficient.git). A CSV file provided is also needed in the directory where the code is running. Researchers and developers can access, modify, and integrate this code into their own projects to further enhance their experimental and computational workflows. For more details and to download the code, please visit the GitHub link provided.

Similarly, the SIFT-MS compatible rate computed from the classical trajectory collision model can be obtained by providing the appropriate values. Please refer to the related publications for more details. Get the code from the GitHub link (https://github.com/Manjeetkb/rate-coefficient/blob/main/final-rate-sift.py).

SIFT-MS compatible rate coefficients.

This data is essential for the identification and quantification of aroma and flavor compounds, which are critical in evaluating the quality and safety of food products. Accurate quantification of these compounds is paramount in assessing potential safety risks, ensuring that the final food product meets health standards and regulatory requirements.

By providing precise measurements of aroma and flavor compounds, this data helps food scientists and industry professionals maintain product consistency, enhance flavor profiles, and guarantee consumer safety. Additionally, it supports the development of new food products by offering insights into the complex interactions of volatile organic compounds within the food matrix.


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Quantumsimmblogs provides research-oriented content catering to researchers across various disciplines, including computational chemistry, mass spectrometry, food & flavor analysis, reaction kinetics, catalysts, materials and technology

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