Solid Sample Homogenization
Solid Sample Homogenization - 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.
11:32
Analytical Determination of Mitochondrial Function of Excised Solid Tumor Homogenates
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Cited by 4 •
2021
We developed a practical protocol and analytical approach to evaluate mitochondrial oxidative phosphorylation and electron transfer capacity in fresh tumor homogenates. This protocol can be easily adapted to survey various mitochondrial functions that contribute to cancer initiation, progression, and treatment response.
03:42
Solid Phase Microextraction Sampling: A Probe-based Technique for Sample Extraction from Graft Tissues
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2023
In this video, we demonstrate SPME-probe-based extraction of metabolites from a pre-harvested donor kidney. The extracted metabolites can be used to perform metabolomic and lipidomic analysis in order to assess the organ quality for transplantation.
01:23
Test for Homogeneity
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2023
The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can be stated as...
09:32
Solid-Liquid Extraction
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2023
Source: Laboratory of Dr. Jay Deiner — City University of New York Extraction is a crucial step in most chemical analyses. It entails removing the analyte from its sample matrix and passing it into the phase required for spectroscopic or chromatographic identification and quantification. When the sample is a solid and the required phase for analysis is a liquid, the process is called solid-liquid extraction. A simple and broadly applicable form of solid-liquid extraction entails combining the...
FAQs
Grinding, milling, cutting, or mixing reduces particle size and redistributes target compounds through the material. This decreases the chance that one portion contains an unusual concentration simply because contaminants or other constituents were unevenly located. A more consistent composition across portions supports measurements that are more reliable and reproducible when samples are analyzed.
Uneven contaminant distribution can make different portions of the same soil, sediment, plant, or waste sample produce different results. Homogenization helps distribute those constituents before a portion is removed for testing. The resulting subsample better represents the collected material, making comparisons among sites or treatments more meaningful and defensible.
Controlled handling protects the sample from contamination and helps limit moisture loss or changes in analyte concentration. These controls matter because preparation itself can alter the material being measured. Applying them throughout the workflow makes measured differences more likely to reflect the samples rather than avoidable handling effects.
The appropriate preparation action depends on the solid material and the required analysis, but the supported options include grinding, milling, cutting, and mixing. After the material has been processed and handled in a controlled way, portions can be taken for testing. This workflow links physical preparation with representative subsampling.
In environmental work, the approach applies to soil, sediment, plant, and waste samples. It can support chemical, biological, and physical tests, so its value is not limited to one type of measurement. Preparing these materials consistently gives each test a more dependable portion of the collected material and helps maintain comparability within a study.
When contaminants occur unevenly, a single portion may not reflect the broader collected material. Homogenizing before subsampling reduces that representativeness problem, allowing results from different sites or treatments to be compared on a more consistent basis. The resulting data are better suited to defensible interpretation of environmental differences, provided handling also limits contamination and analyte changes.