Measurement of Sugar and Moisture in Fruits by 900nm - 2500nm Near-Infrared Spectrometer

NIR-based spectral analysis ensures swift, intact fruit evaluation. This technology decodes light interactions to profile sugar, acidity, and water content, supporting data-driven quality assurance and processing.

For accurate NIR spectroscopy, the SR100N17 & SR100N25 cover 0.9–1.7μm and 0.9–2.5μm. Their optical filtration eliminates interference, while the cooled 512-pixel array guarantees high-fidelity spectral data in varied measurement configurations.

Measurement Method:

• Near-infrared reflection detection method: It is suitable for detecting information on the surface of fruit peels, such as color and luster, but not for internal quality detection.
• Near-infrared transmission detection method: Theoretically, it is applicable to transparent or semi-transparent samples and cannot penetrate fruits. It is less used in practical applications.
• Near-infrared diffuse reflection detection method: It is a measurement method between reflection and transmission, suitable for opaque, solid and semi-solid samples. The obtained spectral information can reflect the characteristics of the internal structure of fruits and is widely used in the detection of internal qualities of fruits (such as sugar content, acidity, etc.).

Applications:

• Quality assessment: Predict quality parameters such as firmness, sweetness, and acidity of fruits.
• Classification and identification: Distinguish and identify the types of different fruits.
• Functional fruit evaluation and screening: It can be used to evaluate and screen functional fruits rich in special components.
• Disease monitoring: It can quickly diagnose diseases such as citrus Huanglongbing and provide early warnings for disease prevention and control.