Laser diffraction particle size analyzerCore advantages:

Wide measurement range: With a wide coverage area, it can analyze multiple dispersed systems simultaneously.

High analysis efficiency: single measurement only takes a few minutes, supports continuous automatic injection, suitable for large-scale sample analysis.

Good repeatability: high accuracy, less affected by human operation.

Strong sample compatibility: supports two modes of liquid dispersion (suspension) and gas dispersion (dry powder), and can analyze various materials such as metal oxides, ceramic powders, drug particles, food additives, etc.

主要局限性：

Dependent on optical parameters: Mie scattering calculations require accurate input of the refractive index and absorption index of particles, and unknown samples need to be calibrated through experiments.

High requirements for dispersibility: If the sample aggregates, it may be mistakenly classified as large particles, and pre-treatment methods such as ultrasonic dispersion and addition of dispersants are needed.

Unable to distinguish particle morphology: can only measure the "equivalent sphere diameter", unable to identify whether the particles are spherical, sheet-like, or needle shaped.

Key points for purchasing:

Measurement range and resolution

Select the range coverage according to the requirements to ensure the detection of both small and large sizes of target particles.

Pay attention to the resolution of the instrument in the sub micron range.

Performance of light source and detector

The stability and power of laser sources directly affect sensitivity, and gas lasers are usually superior to solid-state lasers.

The performance of the detector determines its ability to detect small particles, and a fan-shaped detector design can improve the signal-to-noise ratio.

Distributed system and operational convenience

Wet dispersion systems are suitable for powders that can be dispersed by water or other liquids, while dry dispersion systems are suitable for powders that cannot be dispersed by liquids.

Priority should be given to integrated intelligent decentralized systems.