Download full-text PDF

Source
http://dx.doi.org/10.1088/0031-9155/25/2/013DOI Listing

Publication Analysis

Top Keywords

ionisation error
4
error porosity
4
porosity graphite
4
graphite ionisation
4
ionisation chambers
4
ionisation
2
porosity
1
graphite
1
chambers
1

Similar Publications

The current study uses the Chernobyl disaster optimizer (CDO), a new metaheuristic optimizer, to identify the seven unknown parameters of solid oxide fuel cells (SOFCs). The procedures of the CDO is based on physical behavior of the elaborated radiations from the well-known Chernobyl disaster according to their mass, speed, frequency, and degree of ionization. The sum of square errors (SMSE) among the estimated and the real measured output voltage datasets of SOFCs is minimized employing the CDO.

View Article and Find Full Text PDF

LC-MS/MS based analytical strategies for the detection of lipid peroxidation products in biological matrices.

J Pharm Biomed Anal

January 2025

Department of Bioscience and Technology for Food, Agriculture and Environmental, University of Teramo, Via Renato Balzarini 1, Teramo 64100, Italy. Electronic address:

Oxidative stress (OS) arises mainly from exposure to reactive oxygen species (ROS) such as superoxide anion, hydroxyl radical, and hydrogen peroxide. These molecules can cause significant damage to proteins, DNA, and lipids, leading to various diseases. Cells fight ROS with detoxifying enzymes; however, an imbalance can cause damage leading to ischemic conditions, heart disease progression, and neurological disorders such as Alzheimer's disease.

View Article and Find Full Text PDF

Thromboxane A (TXA), a prothrombotic factor that induces platelet aggregation and thrombosis, acts as a vasoconstrictor by activating TXA receptors (TP receptors). TXA is extremely unstable and metabolizes into three major metabolites: 2,3-dinor thromboxane B (2,3-dinor-TXB), 11-dehydro TXB(11-dh-TXB), and 11-dehydro-2,3-dinor TXB(11-dh-2,3-dinor-TXB). 8-Iso-prostaglandin F(8-iso-PGF), a prostaglandin-like compound widely considered the best biomarker of oxidative stress, can also activate TP receptors.

View Article and Find Full Text PDF

Naturally occurring peptides display a wide mass distribution after ionization due to the presence of heavy isotopes of C, H, N, O, and S and hydrogen loss. There is a crucial need for sensitive methods that collect as much information as possible about all plasma peptide forms. Statistical analysis of the delta mass distribution of peptide precursors from MS/MS spectra that were matched to 63,077 peptide sequences by X!TANDEM revealed Gaussian peaks representing heavy isotopes and hydrogen loss at integer delta mass values of -3, -2, -1, 0, +1, +2, +3, +4, and +5 Da.

View Article and Find Full Text PDF

A prediction model for electrical strength of gaseous medium based on molecular reactivity descriptors and machine learning method.

J Mol Model

January 2025

Hubei Key Laboratory·for High-Efficiency-Utilization of Solar Energy and Operation, Control of Energy-Storage System, Hubei-University of Technology, Wuhan, 430068, China.

Context: Ionization and adsorption in gas discharge are similar to electrophilic and nucleophilic reactions. The molecular descriptors characterizing reactions such as electrostatic potential descriptors are useful in predicting the electrical strength of environmentally friendly gases. In this study, descriptors of 73 molecules are employed for correlation analysis with electrical strength.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!