JINSP SR100N17 and SR100N25 Near-Infrared Spectrometers for Versatile Applications in Non-Destructive Detection of Fruits
| Attribute | Value |
|---|---|
| Measurement Range | 900nm~2500nm |
| Wavelength Repeatability | ±0.05 nm |
| Type | Refrigerated linear array InGaAs |
| Sensing Area | 12.8mm*0.5mm |
| Entrance Slit Width | 5μm,10μm,25μm,50μm (customizable) |
| Incident Light Interface | SMA905 fiber interface, free space |
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.
| Performance Indicators | SR100N17 | SR100N25 |
|---|---|---|
| Detector | ||
| Type | Refrigerated linear array InGaAs | |
| Effective Pixel | 512 | |
| Pixel Size | 25μm*500μm | |
| Sensing Area | 12.8mm*0.5mm | |
| Optical Parameters | ||
| Wavelength Range | 900-1700nm | 900-2500nm |
| Optical Resolution | 3.1nm(@25μm) | 6.3nm(@25μm) |
| Optical Design | F/4 cross-type | |
| Numerical Aperture | 0.14 | |
| Focal Length | 100mm | |
| Entrance Slit Width | 5μm,10μm,25μm,50μm (customizable) | |
| Incident Light Interface | SMA905 fiber interface, free space | |
| Electrical Parameters | ||
| Integration Time | 1ms-12s | 1ms-200ms |
| Data Output Interface | USB2.0, UART | |
| ADC Bit Depth | 16-bit | |
| Power Supply | DC4.9 to 5.1V(type @5V) | |
| Operating Current | ＜3A | |
| Environmental Parameters | ||
| Operating Temperature | 10°C~40°C | |
| Storage Temperature | -20°C~60°C | |
| Operating Humidity | ＜90%RH (no condensation) | |
| Physical Parameters | ||
| Dimensions | 178mm*123mm*49mm | |
| Weight | 1.2kg | |
In the 780-2500nm NIR range, absorbed light excites molecular vibrations that generate diagnostic spectra. Agricultural products display broad peaks from combination vibrations of functional groups, enabling NIR to identify chemical features and multiple components for quality evaluation.
- 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.).
- 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.
JINSP Company Limited originates from Tsinghua University and has 17 years of experience in developing spectroscopic technology. As a leading supplier of spectroscopic technology, JINSP Technology offers over twenty spectroscopic products across various fields, including pharmaceutical and chemical industries, public security, customs, and fiber optic spectrometers. Our products are available nationwide and are exported to over 30 countries, with cumulative sales exceeding 3,000 units.
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