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Mesh to Microns Sieve Converter (ASTM E11 Standard) | Nutradays

Instantly convert particle mesh size to microns, millimeters, and inches. Reference standard ASTM E11 sieve wire dimensions for bulk botanical extracts & active powders.

Microns
177
µm
Millimeters
0.177
mm
Inches
0.0070
in

🔬 Mesh Aperture Visualizer (1" x 1")

Simulating relative aperture size. Higher mesh counts reduce the spacing between wire mesh threads, restricting passage to smaller particle sizes.

💡 Key Sourcing Benchmarks

  • 80 Mesh: Standard for encapsulation. Offers optimal flow properties for capsule filling machines.
  • 120+ Mesh: Ideal for beverage blends. Dissolves rapidly in liquids but can clump during handling.
  • Note: Real-world screen wire thickness reduces actual aperture size. Refer to batch COAs for exact sieve parameters.

📋 ASTM E11 US Sieve Standard Reference

Mesh Count Aperture (Microns) Aperture (Millimeters) Aperture (Inches)
40 mesh 400 µm 0.400 mm 0.0165 in
60 mesh 250 µm 0.250 mm 0.0098 in
80 mesh 177 µm 0.177 mm 0.0070 in
100 mesh 149 µm 0.149 mm 0.0059 in
120 mesh 125 µm 0.125 mm 0.0049 in
200 mesh 74 µm 0.074 mm 0.0029 in
325 mesh 44 µm 0.044 mm 0.0017 in
400 mesh 37 µm 0.037 mm 0.0015 in

Which Mesh Should I Choose?

Examples:

Application Recommended Mesh
Smoothie 80 Mesh
Tablet 120 Mesh
Capsule 100 Mesh
Instant Drink 150 Mesh
Bakery 60 Mesh
Pet Food 40 Mesh

Procurement use

Use the result as a sourcing checkpoint, not a final specification.

Particle size affects flowability, dispersion, capsule filling, tablet compression and sensory feel. Use this conversion as an early check before confirming a botanical powder specification.

Confirm whether the supplier uses US mesh, ASTM sieve or internal particle size targets.

Ask if the quoted mesh is typical value, minimum passing rate or full particle distribution.

Check whether finer mesh changes price, lead time, flowability or moisture sensitivity.

Request batch COA or sieve analysis when particle size is critical to your formula.

Mesh conversion is a reference. Final purchasing decisions should rely on agreed specifications and current-batch test data.