Maldi Sample Preparation
Maldi Sample Preparation - Related Videos
08:01
Preparation of Homogeneous MALDI Samples for Quantitative Applications
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Cited by 8 •
2016
A protocol for reducing spatial heterogeneities of ion signals in MALDI mass spectrometry by regulating substrate temperature during sample drying processes is demonstrated.
05:28
MALDI Sample Preparation: the Ultra Thin Layer Method
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Cited by 32 •
2007
This video demonstrates the preparation of an ultra-thin matrix/analyte layer for analyzing peptides and proteins by Matrix-Assisted Laser Desorption Ionization Mass Spectrometry (MALDI-MS).
09:08
Sample Preparation for Metabolic Profiling using MALDI Mass Spectrometry Imaging
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Cited by 9 •
2020
The goal of this protocol is to provide detailed guidance on the sample preparation when planning for experiments using MALDI MSI to maximize metabolic and molecular detection in biological samples.
07:27
MALDI-TOF Mass Spectrometry
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2023
Matrix-assisted laser desorption ionization (MALDI) is a mass spectrometry ion source ideal for the analysis of biomolecules. Instead of ionizing compounds in the gaseous state, samples are embedded in a matrix, which is struck by a laser. The matrix absorbs the majority of the energy; some of this energy is then transferred to the sample, which ionizes as a result. Sample ions can then be identified using a time-of-flight analyzer (TOF). This video covers principles of MALDI-TOF, including...
09:18
Profiling the Triacylglyceride Contents in Bat Integumentary Lipids by Preparative Thin Layer Chromatography and MALDI-TOF Mass Spectrometry
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Cited by 11 •
2013
Mammalian integument contains solvent-extractable lipids that can provide chemical compositions characteristic of individual species. This paper presents a routine method for separating broad lipid classes isolated from integumentary tissues using thin layer chromatography and determining the triacylglyceride profile by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.
FAQs
The matrix absorbs ultraviolet laser energy and transfers that energy during the laser event, helping desorb the analyte and promote ion formation. Co-crystallization places matrix and analyte together on the target plate, while the matrix environment helps limit fragmentation. This energy-transfer process allows biomolecular signals to be measured as mass-to-charge ratios.
Matrix selection, solvent composition, analyte concentration, and crystallization conditions all influence the resulting signal. These variables determine how effectively the analyte is incorporated into the matrix crystals and how consistently the laser interaction produces ions. Careful control is therefore important when comparing samples or repeating measurements in biochemical analyses.
Different biomolecular targets, including peptides, proteins, lipids, carbohydrates, and microbial biomolecules, may require an appropriate matrix environment for effective analysis. The selected matrix must support ultraviolet energy absorption and suitable incorporation of the analyte during drying. Matching matrix choice to the analyte helps improve detection and supports identification or structural characterization.
A typical workflow combines the analyte with a suitable ultraviolet-absorbing organic matrix, places the mixture on a MALDI target plate, and allows it to dry. Drying promotes co-crystallization of the two components. The prepared spot can then undergo laser-based analysis, with preparation quality influencing signal strength and measurement reproducibility.
The essential preparation elements are the analyte, an ultraviolet-absorbing organic matrix, a solvent system, and a target plate. Solvent composition, analyte concentration, matrix selection, and drying or crystallization behavior require attention. Controlling these conditions helps produce a suitable co-crystallized sample and reduces variability in the resulting mass spectrometric signal.
Prepared samples can support measurement of peptides, proteins, lipids, carbohydrates, and microbial biomolecules according to their mass-to-charge ratios. The resulting data can contribute to biomolecule identification and structural characterization. This makes the preparation approach relevant to biochemical studies in which researchers need to examine diverse molecular classes with limited fragmentation during ion formation.