Ion Trap Ms
Ion Trap Ms - Related Videos
11:45
Experimental Methods for Trapping Ions Using Microfabricated Surface Ion Traps
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Cited by 18 •
2017
This paper presents a microfabrication methodology for surface ion traps, as well as a detailed experimental procedure for trapping ytterbium ions in a room-temperature environment.
13:39
Optical Trapping of Nanoparticles
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Cited by 7 •
2013
The following setup approach details low power optical trapping of dielectric nanoparticles using a double-nanohole in metal film.
09:24
Standardized Identification of Compound Structure in Tibetan Medicine Using Ion Trap Mass Spectrometry and Multiple-Stage Fragmentation Analysis
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Cited by 1 •
2023
Here, we describe a general protocol and design that could be applied to identify trace amounts and minor constituents in the complex natural product formulations (matrixes) in Tibetan medicine.
01:41
Social Traps
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2020
Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned more cows, the larger...
05:52
Histone Modification Screening using Liquid Chromatography, Trapped Ion Mobility Spectrometry, and Time-Of-Flight Mass Spectrometry
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Cited by 7 •
2024
An analytical workflow based on liquid chromatography, trapped ion mobility spectrometry, and time-of-flight mass spectrometry (LC-TIMS-ToF MS/MS) for high confidence and highly reproducible "bottom-up" analysis of histone modifications and identification based on principal parameters (retention time [RT], collision cross section [CCS], and accurate mass-to-charge [m/z] ratio).
FAQs
The trap retains ions within a radiofrequency electric field and changes the trapping conditions to eject selected ions. Because ions are released according to their mass-to-charge ratios, the instrument can examine specific portions of a complex ion population rather than treating all detected signals as one group. This selectivity supports more focused characterization of biological samples.
Collision-induced fragmentation converts a selected precursor ion into smaller product ions. Comparing the precursor with its fragments provides structural information that a single mass measurement cannot supply, helping researchers characterize peptides, proteins, and other biomolecules. This tandem approach is especially useful when related molecules have similar masses but produce different fragmentation patterns.
Repeated MSn analysis allows an ion and its successive fragment ions to be examined through multiple stages of selection and fragmentation. Each stage can add structural detail, helping resolve relationships within complex peptide or protein signals. In immunology and infection studies, this flexibility supports closer examination of molecular changes that may be difficult to interpret from one measurement alone.
A typical analysis begins with ions from a biological sample being confined in the trap, followed by selection of an ion of interest through adjusted trapping conditions. That precursor can then be fragmented, and the resulting ions analyzed by their mass-to-charge ratios. Repeating selection and fragmentation produces MSn data for structural interpretation.
Ion Trap MS can support peptide and protein identification, examination of post-translational modifications, and characterization of immune mediators. It also helps detect pathogen-associated molecules. These applications give researchers molecular evidence for studying biomolecular changes during disease and for clarifying how host and pathogen components are related.
Measurements from the method can connect peptide, protein, immune mediator, and pathogen-associated molecular signals with changes occurring during disease. Fragmentation adds structural information, while sensitive analysis helps examine complex biological samples. Together, these outcomes support investigation of molecular differences between host and pathogen components and improve interpretation of their interactions.