Near-infrared (NIR) spectroscopy offers a fast, non-invasive solution for fruit quality analysis. By capturing spectral data in the NIR range, it enables real-time measurement of internal attributes like sugar content, acidity, and moisture. This technology supports efficient fruit grading, storage, and processing with high accuracy.

JINSP SR100N17 and SR100N25 near-infrared refrigerated spectrometers are versatile instruments with applications spanning a broad wavelength range of 0.9 to 1.7μm or 0.9 to 2.5μm, respectively. These spectrometers are equipped with integrated light filters that effectively screen out visible light and remove high-order modes. Additionally, they feature a cooled 512-pixels area array InGaAs sensor, ensuring high resolution and minimal stray of light. These spectrometers are suitable for detecting near-infrared spectra through transmission, reflection, or absorption methods.

NIR spectroscopy operates within the 780-2500nm range, where molecular vibrations induced by light absorption produce distinct spectral patterns. These patterns, characterized by broad peaks due to overtone and combination bands of functional groups (e.g., C-H, O-H), enable simultaneous detection of multiple components in agricultural samples, supporting comprehensive quality assessment.

• Near-infrared reflection detection method: 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 applicable to transparent or semi-transparent samples and cannot penetrate fruits. Less used in practical applications.
• Near-infrared diffuse reflection detection method: 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: Can be used to evaluate and screen functional fruits rich in special components.
• Disease monitoring: 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.

• UV VIS NIR fiber optic spectrometers
• Desktop/portable, online Raman analyzers for laboratory or industrial liquid & gas analysis
• On-site rapid detectors/identifiers based on Raman technology for drugs, liquid, food safety, explosive & hazardous materials, pharmaceutical industry etc