Mass To Charge Ratio Formula:
From: | To: |
The mass-to-charge ratio (m/z) is a physical quantity used in mass spectrometry that represents the ratio of the mass of a particle to its electric charge. It is a fundamental parameter in medical and scientific applications for identifying and characterizing molecules.
The calculator uses the mass to charge ratio formula:
Where:
Explanation: The formula calculates the ratio of mass to electrical charge, which is essential in mass spectrometry for determining the properties of charged particles.
Details: Accurate mass-to-charge ratio calculation is crucial for medical diagnostics, drug development, proteomics research, and identifying biomarkers in biological samples using mass spectrometry techniques.
Tips: Enter mass in kilograms and charge in coulombs. Both values must be positive numbers greater than zero for accurate calculation.
Q1: What is the significance of m/z in mass spectrometry?
A: The m/z ratio determines the trajectory of charged particles in magnetic and electric fields, allowing for separation and identification of different molecules based on their mass and charge characteristics.
Q2: What are typical m/z values in medical applications?
A: m/z values vary widely depending on the application, ranging from small molecules (100-1000 m/z) to large proteins and peptides (1000-10000+ m/z) in medical mass spectrometry.
Q3: Why is mass measured in kilograms and charge in coulombs?
A: These are the standard SI units for mass and electrical charge, providing consistent and internationally recognized measurements for scientific calculations.
Q4: Can this calculator be used for elementary particles?
A: Yes, the same fundamental formula applies to elementary particles, though the values would be extremely small and typically expressed in atomic mass units and elementary charge units.
Q5: How is m/z used in medical diagnostics?
A: m/z measurements are used in clinical mass spectrometry for drug monitoring, toxicology screening, metabolic disorder detection, and identifying disease biomarkers in patient samples.