Sample Characterization
Sample Characterization - Related Videos
09:51
Sample Preparation for Analytical Characterization
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2023
Source: Laboratory of Dr. B. Jill Venton - University of Virginia Sample preparation is the way in which a sample is treated to prepare for analysis. Careful sample preparation is critical in analytical chemistry to accurately generate either a standard or unknown sample for a chemical measurement. Errors in analytical chemistry methods are categorized as random or systematic. Random errors are errors due to change and are often due to noise in instrument. Systematic errors are due to...
04:49
Characterization of Macrophage Extracellular Traps in Mouse Lung Tissue Samples
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2025
In this video, we describe a protocol for the immunostaining and confocal microscopy-based visualization of macrophage extracellular traps (METs) in murine lung tissue. Tissue-resident macrophages are characterized by the expression of the macrophage-specific F4/80 surface glycoprotein marker, while METs are visualized by labeling the MET markers matrix metalloproteinase 9, citrullinated histone H3, and extracellular chromatin.
14:39
Isolation and Functional Characterization of Human Ventricular Cardiomyocytes from Fresh Surgical Samples
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Cited by 44 •
2014
Current knowledge on the cellular basis of cardiac diseases mostly relies on studies on animal models. Here we describe and validate a novel method to obtain single viable cardiomyocytes from small surgical samples of human ventricular myocardium. Human ventricular myocytes can be used for electrophysiological studies and drug testing.
17:39
A Lipid Extraction and Analysis Method for Characterizing Soil Microbes in Experiments with Many Samples
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Cited by 20 •
2017
The article describes a method that increases throughput while balancing effort and accuracy for extraction of lipids from the cell membranes of microorganisms for use in characterizing both total lipids and the relative abundance of indicator lipids to determine soil microbial community structure in studies with many samples.
10:16
Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
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Cited by 186 •
2016
The protocol below describes the methodology for: microplastics sampling on the sea surface, separation of microplastic and chemical identification of particles. This protocol is in line with the recommendations for microplastics monitoring published by the MSFD Technical Subgroup on Marine Litter.
FAQs
Method selection depends on the property that must be resolved and the interaction used to observe it. Spectroscopy probes how a sample interacts with electromagnetic radiation, chromatography separates components through a separation medium, microscopy reveals morphology, and thermal analysis examines behavior during heating. Combining these perspectives can distinguish composition from structure, physical form, or stability.
Reference spectra and calibration data convert instrument measurements into interpretable chemical evidence. A reference spectrum can support compound identification by comparison, while calibration data establish the relationship needed to quantify components. Standards also help evaluate purity and make results comparable across measurements. Without these comparisons, a signal may be observed but its chemical meaning or amount remains uncertain.
Chromatography and spectroscopy answer different but complementary questions. Chromatography resolves a mixture into separated components, reducing ambiguity when signals overlap. Spectroscopy then provides interaction-based measurements that can be compared with reference spectra for identification. Using both approaches can improve interpretation when a sample contains multiple compounds rather than a single, readily assigned component.
Begin with the analytical question: composition, structure, morphology, stability, phase, purity, or chemical behavior. Choose techniques whose measurement principles address that question, then collect data under conditions suitable for comparison with standards, reference spectra, or calibration data. A combined plan is useful when no single measurement can describe both what a sample contains and how it functions.
It is applied across reaction development, materials research, pharmaceutical quality control, and environmental analysis. In reaction development, measurements can help assess composition or purity; in materials work, morphology, structure, phase, and thermal behavior may be central. Quality-control and environmental studies likewise depend on identifying and quantifying components against appropriate reference or calibration information.
Reliable interpretation requires more than collecting isolated measurements. Researchers compare results with standards, reference spectra, and calibration data, then relate the findings to composition, structure, physical properties, chemical behavior, purity, morphology, stability, or phase. This evidence supports reproducible interpretation of experimental findings, allowing chemical conclusions to be tied to measured characteristics rather than unsupported assumptions.