Non-Destructive Fruit Analysis with High-Performance Near-Infrared Spectrometers for Sugar and Moisture Measurement
| 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 |
Employing near-infrared light, spectroscopy delivers instant, non-contact fruit analysis. It measures critical quality markers—sugar, acid, moisture—enabling precise fruit grading and informed processing choices without sample destruction.
Versatile JINSP SR100N spectrometers support 0.9-2.5μm detection, with models for 1.7μm & 2.5μm cutoff. Featuring optical filtering and a low-noise InGaAs array (512px), they excel in NIR spectroscopy across multiple sampling techniques.
| 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 | |
The NIR region (780nm-2500nm) reveals molecular vibrations through light absorption. Spectral data from agricultural samples show characteristic broad bands due to harmonic vibrations of chemical bonds (N-H, O-H), providing both chemical fingerprints and compositional data for quality analysis.
- 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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