Related Experiment Video
Updated: Jan 29, 2026
17:16
Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
Published on: December 9, 2010
10.8K
ZnII Complexes for Bioimaging and Correlated Applications
Xiaohe Tian1, Sajid Hussain1,2, Cesare de Pace3
1School of life science, Anhui University, Hefei, 230039, P.R. China.
Chemistry, an Asian Journal
|February 5, 2019
Summary
Zinc(II) complexes offer advanced bioimaging and therapeutic potential due to their stability and low toxicity. This review highlights their recent applications as specific subcellular compartment imaging probes.
Area of Science:
- Biochemistry
- Materials Science
- Chemical Biology
Background:
- Zinc is an essential trace element and the second most abundant transition metal ion in the human body.
- D10 metal Zn(II) complexes offer advantages over traditional systems, including large Stokes shift, photon stability, strong emission, and low cytotoxicity.
- Zn(II) complexes have gained prominence in biological applications over the last decade.
Purpose of the Study:
- To review recent advancements in the development and application of Zn(II) metal complexes.
- To focus on their use as specific subcellular compartment imaging probes.
- To discuss their correlated utilizations in biological systems.
Main Methods:
- Literature review of recent scientific publications.
- Analysis of studies focusing on Zn(II) complexes for bioimaging.
- Examination of applications in molecular recognition, protein recognition, and photodynamic therapy.
Main Results:
- Zn(II) complexes demonstrate significant potential as imaging probes for specific subcellular compartments.
- These complexes exhibit favorable photophysical properties and biocompatibility.
- Recent research showcases their versatility in various biological imaging and therapeutic contexts.
Conclusions:
- Zn(II) complexes are versatile tools for biological applications, particularly in advanced bioimaging.
- Their unique properties make them suitable for targeting specific subcellular locations.
- Continued development promises expanded utility in diagnostics and therapeutics.
More Related Videos
09:35Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
Published on: April 1, 2017
14.5K
14:12Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
Published on: December 11, 2021
6.0K
Related Concept Videos
02:20Correlations
35.9K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.9K
01:27Correlation and Causation
42.5K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.5K
01:09Correlation
15.1K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
15.1K
00:53Correlation and Regression
3.4K
In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
3.4K
01:12Coefficient of Correlation
8.7K
The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
8.7K
02:41Protein Complex Assembly
16.7K
Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types. Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
Many viruses self-assemble into a fully functional unit using the infected host cell to...
16.7K