Plasma Serum Analysis
Plasma Serum Analysis - Related Videos
09:21
Serum and Plasma Copy Number Detection Using Real-time PCR
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Cited by 4 •
2017
This manuscript describes the copy number variation analysis performed in serum or plasma DNA using real-time PCR approach. This method is suitable for the prediction of drug resistance in castration resistant prostate cancer patients, but it could be informative also for other diseases.
08:36
An Atmospheric Pressure Plasma Setup to Investigate the Reactive Species Formation
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Cited by 21 •
2016
An experimental setup was created for the helium-operated kHz frequency plasma jet. The setup includes a cage for the plasma power supply and jet and an in-house built reactor to monitor plasma-induced reactive species without the interference of the ambient atmosphere.
08:42
How to Ignite an Atmospheric Pressure Microwave Plasma Torch without Any Additional Igniters
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Cited by 26 •
2015
This movie shows how an atmospheric plasma torch can be ignited by microwaves with no additional igniters and provides a stable and continuous plasma operation suitable for plenty of applications.
06:47
Isolation and Analysis of Plasma Lipoproteins by Ultracentrifugation
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Cited by 9 •
2021
Several methods have been used for analyzing plasma lipoproteins; however, ultracentrifugation is still one of the most popular and reliable methods. Here, we describe a method regarding how to isolate lipoproteins from plasma using sequential density ultracentrifugation and how to analyze the apolipoproteins for both diagnostic and research purposes.
05:30
Isolation, Characterization, and Proteomic Analysis of Plasma-Derived Extracellular Vesicles for Cardiovascular Biomarker Discovery
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Cited by 1 •
2025
This article describes a methodology for the isolation, characterization, and quantification of human plasma-derived extracellular vesicles (EV) and presents a workflow for label-free analysis of the EV proteome using liquid chromatography-tandem mass spectrometry (LC-MS/MS).
FAQs
The choice between plasma and serum determines which clot-related proteins remain available for measurement. Plasma comes from anticoagulated blood and retains clotting factors, while serum is collected after clot formation and lacks most of them. That difference can influence how a measured protein profile is interpreted, especially when the analysis concerns coagulation-related biology or engineered blood-contacting systems.
Centrifugation creates the separation needed before measurement by partitioning the cell-free fluid from cellular material. This step makes plasma or serum available as a clearer analytical fraction, allowing subsequent assays to target soluble molecules rather than an unresolved blood sample. In bioengineering workflows, consistent separation supports comparisons among biomaterial, culture, or disease-model conditions.
Assay selection follows the type of information required. Biochemical assays can quantify relevant chemical constituents, immunological assays can target biomarkers through immune-based recognition, and instrument-based measurements can provide broader analytical readouts. Using the appropriate approach helps connect a measured protein, metabolite, electrolyte, or hormone to the biological question being studied.
Results can be interpreted as changes in either concentration or activity, and those readouts are not interchangeable. A concentration measurement indicates how much of a target is present, whereas an activity measurement addresses functional behavior. Distinguishing these outcomes is important when plasma or serum analysis evaluates whether a bioengineered system changes molecular abundance, function, or both.
A basic workflow begins with collecting the appropriate blood fraction, separating it by centrifugation, and applying a biochemical, immunological, or instrument-based assay. The selected fraction and assay should match the target biomarker and the intended interpretation. This sequence converts a complex biological sample into measurements that can be compared across experimental conditions.
Bioengineers use these measurements to evaluate biomaterials, monitor cell or tissue cultures, model disease, and test drugs. Changes in proteins, metabolites, electrolytes, hormones, or other biomarkers provide molecular evidence that can be related to biological function. The resulting data can guide development of diagnostic platforms or therapeutic platforms by linking system performance with measurable biological responses.
Plasma serum analysis is especially useful when an engineered system must be assessed through soluble biological signals rather than appearance alone. In a tissue culture or disease model, biomarker measurements can reveal molecular changes associated with the system. In drug testing, the same readouts help characterize biological responses, while biomaterial studies can examine interactions with biological environments.