Fragmentation Pattern Analysis
Fragmentation Pattern Analysis - Related Videos
13:51
Cross-Modal Multivariate Pattern Analysis
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Cited by 5 •
2011
Classical multivariate pattern analysis predicts sensory stimuli a subject perceives from neural activity in the corresponding cortices (e.g. visual stimuli from activity in visual cortex). Here, we apply pattern analysis cross-modally and show that sound- and touch-implying visual stimuli can be predicted from activity in auditory and somatosensory cortices, respectively.
02:31
Habitat Fragmentation
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2020
Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition. Perforation and dissection often occur during the initial stages of...
11:46
Decoding Auditory Imagery with Multivoxel Pattern Analysis
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California Imagine the sound of a bell ringing. What is happening in the brain when we conjure up a sound like this in the "mind's ear?" There is growing evidence that the brain uses the same mechanisms for imagination that it uses for perception.1 For example, when imagining visual images, the visual cortex becomes activated, and when imagining sounds, the auditory cortex is engaged. However, to what extent are...
06:13
Electroeluting DNA Fragments
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Cited by 8 •
2010
This procedure allows the purification of DNA fragments with high yield.
04:48
Automated Capillary Electrophoresis Based Fragment Size Distribution Analysis of cfDNA: A DNA Microchip-based Method to Study Size Distribution of DNA Fragments Isolated from Biofluids
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2025
In this video, we analyze the size distribution of cell-free DNA or cfDNA fragments using automated capillary electrophoresis. This technique helps gain insights into the profile of DNA fragments released by cancer cells during apoptosis.
FAQs
After ionization, the molecular ion can gain or lose energy, and that energy promotes bond cleavages along pathways favored by the compound’s structure. The resulting fragment ions are not random: their mass-to-charge ratios reflect which parts of the molecule remain represented after cleavage. Interpreting the distribution of these ions links observed spectral features to functional groups, substituents, and molecular connectivity.
A fragment ion’s mass-to-charge ratio provides a measurable signal for comparing the pieces produced from a compound. The collection of these values forms a characteristic pattern rather than a single identifying value. Analysts can relate recurring or distinctive ratios to structural features, then use the overall pattern to support compound identification or confirmation instead of relying on one fragment alone.
Closely related molecules can produce different fragment patterns when their functional groups, substituents, or molecular connectivity change. Comparing the observed pattern with reference spectra or theoretical fragmentation pathways helps reveal those differences. This comparison is especially useful when compounds share similar overall compositions but differ in structural arrangement, allowing analysts to evaluate whether a proposed molecular structure fits the measured fragments.
A practical workflow begins by examining the fragment ions produced after ionization and recording their mass-to-charge ratios. The observed pattern is then compared with reference spectra or theoretical fragmentation pathways. Analysts use agreements and differences in the fragments to infer structural information, identify an unknown compound, or confirm whether a proposed molecular structure is consistent with the evidence.
The approach supports several analytical tasks, including qualitative analysis, reaction monitoring, impurity characterization, and metabolite identification. In each case, the fragment pattern supplies structural evidence that can help determine what compounds are present or whether a chemical transformation has produced the expected species. It also contributes to developing reliable analytical methods for samples containing multiple chemical components.
Fragmentation patterns provide structural evidence that can help separate the interpretation of closely related compounds within a complex sample. Reference spectra and theoretical pathways give analysts comparison points for assigning observed signals, while characteristic fragments support compound identification and structural confirmation. This makes the method relevant to impurity characterization, metabolite studies, and broader qualitative analysis in chemistry.