Calcium Nitride Nanoparticles
Calcium Nitride Nanoparticles
Calcium Nitride Nanoparticles | |
Product No | NRE-5046 |
CAS No. | 12013-82-0 |
Formula | Ca3N2 |
Density | 2.67 g/cm³ |
APS | <100 nm (Can be Customized) |
Purity | 99.9% |
Form | Powder |
Molecular Weight | 148.2474 g/mol |
Certificate Of Analysis | |
Ca | 81.1% |
N | 18.8% |
Cr | 0.02% |
O | 0.03% |
S | 0.02% |
C | 0.01% |
Fe | 0.01% |
Calcium Nitride Nanoparticles
Calcium Nitride nanoparticles is an inorganic compound formed by the elements calcium (Ca) and nitrogen (N). It is a crystalline material that, in its bulk form, has attracted attention for its semiconducting, high-temperature stability, and reactive properties. When reduced to the nanoparticle scale, calcium nitride nanoparticles exhibit enhanced chemical reactivity, high surface area, and quantum effects, making them ideal candidates for a wide variety of advanced applications, especially in areas like materials science, energy storage, catalysis, and environmental management.
Introduction
Calcium nitride is traditionally known as a highly reactive metal nitride with applications in materials science, chemistry, and high-performance coatings. In its bulk form, calcium nitride is often used in the production of nitride-based ceramics, superconductors, and alloys. However, when reduced to the nanoscale, exhibit unique properties that are significantly different from their bulk counterpart due to the increased surface area, size-dependent behavior, and quantum effects. The transformation of bulk materials to nanoparticles significantly alters the physical, chemical, and optical properties, enhancing their performance and functionality in numerous industrial, energy, and environmental applications.
Calcium nitride nanoparticles are typically produced through various synthesis methods, such as ball milling, chemical vapor deposition (CVD), laser ablation, and hydrothermal techniques. These methods allow for control over the size, morphology, and composition of the nanoparticles, which are essential factors in optimizing their performance for specific applications.