Biological Stability Evaluation
Biological Stability Evaluation - Related Videos
11:31
Evaluation of the Storage Stability of Extracellular Vesicles
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Cited by 29 •
2019
Here we present a readily applicable protocol to assess the storage stability of extracellular vesicles, a group of naturally occurring nanoparticles produced by cells. The vesicles are loaded with glucuronidase as a model enzyme and stored under different conditions. After storage, their physicochemical parameters and the activity of the encapsulated enzyme are evaluated.
03:37
Evaluating the Effects of Different Polishing Methods on Color Stability of Dental Restorations in Pediatric Dentistry
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Cited by 1 •
2025
Here, we evaluated the impact of various polishing methods on the color stability of compomer and composite resin restorations used in anterior restorations within pediatric dentistry. This study highlights the significance of selecting appropriate polishing methods to enhance the color stability of compomer and composite resin restorations in pediatric dentistry.
09:45
Amplitude-Modulated Electrodeformation to Evaluate Mechanical Fatigue of Biological Cells
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Cited by 4 •
2023
Presented here is a protocol for mechanical fatigue testing in the case of human red blood cells using an amplitude-modulated electrodeformation approach. This general approach can be used to measure the systematic changes in morphological and biomechanical characteristics of biological cells in a suspension from cyclic deformation.
08:20
A New Toolkit for Evaluating Gene Functions using Conditional Cas9 Stabilization
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2021
Here, we describe a genome-editing tool based on the temporal and conditional stabilization of clustered regularly interspaced short palindromic repeat- (CRISPR-) associated protein 9 (Cas9) under the small molecule, Shield-1. The method can be used for cultured cells and animal models.
13:10
Stability of Floating Vessels
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2023
Source: Alexander S Rattner and Kevin Rao Li Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA The objective of this experiment is to demonstrate the phenomenon of stability of floating vessels - the ability to self-right when rolled over to the side by some external force. Careful design of hull shapes and internal mass distribution enables seagoing vessels to be stable with low drafts (submerged depth of hull), improving vessel...
FAQs
The measured properties should match the material or system’s intended function. Relevant indicators may include structural integrity, biological activity, viability, degradation, and contamination. Tracking several indicators can reveal different forms of change over time, helping distinguish loss of physical structure, reduced biological performance, damage to living components, material breakdown, or unwanted biological change.
Stability outcomes reflect more than the biological material itself. Formulation can affect the material’s composition, processing can influence its initial condition, and operating conditions can shape how it changes during use. Comparing these influences helps connect observed changes to design or production choices and supports targeted optimization rather than treating instability as an unexplained failure.
A system may retain its structure while losing biological activity, or remain active while experiencing degradation or contamination. These dimensions therefore provide complementary evidence about performance and safety. Considering them together gives a more complete basis for judging whether a biological product, biomaterial, or engineered system continues to meet its intended requirements over time.
Conditions are defined to represent the setting being assessed, such as storage, environmental exposure, or use. The selected material or engineered system is then examined over time using measures suited to its intended properties. This structured approach makes changes easier to compare across formulations, processing choices, and operating conditions.
Results show how measured properties change under defined conditions and over time. Those observations can support decisions about whether a product remains suitable, how long it may be stored, and which quality attributes require continued monitoring. They also help identify changes that could limit reliable performance or safety before practical use.
In bioengineering, the approach helps characterize biomaterials, cell-based constructs, and biologically derived products. It links time-dependent changes with formulation, processing, and operation, allowing researchers to refine designs and improve reproducibility. The resulting evidence supports quality control and helps move laboratory systems toward practical biomedical applications with more predictable performance.