Near-Infrared Moisture Analyzer

How it measures moisture:

1. Spectral Absorption Principle: The instrument emits near-infrared light at specific wavelengths (typically 1 to 2.5 microns, or 900–2500 nm) onto the surface of the material. The O-H bonds in water molecules absorb a portion of this light energy, reducing the intensity of the reflected light. A detector measures these changes in light intensity, and an algorithm then calculates the moisture content.

2. Dual-Wavelength Analysis: The system uses both a reference beam and a measurement beam, alternating between them. By calculating the ratio between the two, it compensates for fluctuations in the light source and environmental interference, thereby enhancing stability.

3. Technical Details:  Water molecules exhibit strong absorption peaks within specific spectral bands (e.g., 1470–1728 nm), where the absorption intensity is directly proportional to the moisture content. Some high-end models incorporate machine learning algorithms to correct for the influence of material color or temperature.

Where it is most effective:

1. Food and Agricultural Products: Used to monitor moisture in grains, animal feed, powdered milk, starch, tea, and flour. This data helps guide processes such as drying or ingredient blending—for instance, a grain processing plant might monitor the moisture content of cereals in real-time to determine the precise amount of water to add during the grain-tempering (conditioning) stage.

2. Industry and Construction Materials: Suitable for materials such as timber, particleboard, coal, mineral powder, cement, and ceramics. These analyzers perform reliably even in challenging environments characterized by high temperatures or significant dust (e.g., biomass fuel production lines).

3. Pharmaceuticals and Chemicals: Employed for analyzing the composition of traditional Chinese and Western medicinal materials, pharmaceutical powders, chemical raw materials, and thin films. The technology supports switching between different product formulations; for example, a manufacturer of traditional Chinese medicine (TCM) slices can select specific calibration curves for different varieties, thereby reducing the need for manual sampling and testing.

4. Other sectors include tobacco (cut tobacco, reconstituted tobacco sheets), paper making (paper, paperboard), textiles (yarn), and soil monitoring; select models support IoT functionality, enabling remote data monitoring.