JINSP SR100N17 and SR100N25 Near-Infrared Spectrometers for Versatile Applications in Non-Destructive Detection of Fruits

This advanced optical technique, NIR spectroscopy, allows non-destructive fruit testing. By scanning NIR wavelengths, it identifies compositional traits (e.g., sugars, acids) swiftly, ensuring accurate quality classification and optimized storage protocols.

Engineered for precision, the SR100N17/SR100N25 spectrometers operate in NIR ranges (0.9–2.5μm). Their integrated filtration system removes stray light, and the temperature-controlled 512-pixel sensor enhances accuracy in transmission, reflection, and absorption-based assays.

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.