G2020 NIR Grain Analyzer Introduction
G2020 NIR Grain Analyzer is suitable for efficient, fast, non-destructive, quantitative analysis of moisture, protein, starch, fat and other indicators of samples. Detection analysis provides fast detection methods for grain quality identification. The instrument can be used in different places such as laboratories, workshops, and field sites. Features
1. Efficient and fast: It only takes 1-3 minutes to measure multiple indicators of the sample at the same time, which greatly shortens the detection cycle.
2. Scientific and accurate: The instrument uses patented sampling technology, which automatically collects 30 sub-samples for analysis. Combined with advanced optimization algorithms, it improves the accuracy and stability of the test results of the instrument.
3. Flexible and diverse: according to the sample particle size, select the appropriate sample cell optical path module to achieve the detection of different samples
4. Non-destructive: sample does not need grinding
5. Intelligent analysis: equipped with dedicated analysis software, with functions such as self-test, model calibration, wavelength calibration, testing, and automatic report generation
6. Easy to operate: 8-inch capacitive touch screen, windows7 operating system, can be mastered after simple training
7. Compatible power supply design: meet the application needs of different occasions, and can work outdoors in all weather
8. Supports Internet applications: Provides USB typeA, USB typeB, and RJ45 network interfaces, which can be connected to the Internet, facilitating daily instrument maintenance, model upgrades, and database updates Technical Parameters
1. Spectral range: 680-1050nm
2. Resolution: better than 10nm
3. The optical path of the sample cell can be adjusted: 6mm, 18mm, 29mm
4. Detector: Silicon Diode Array
5. Measurement method: transmission, single measurement can detect up to 30 sub-samples
G2020 NIR Grain Analyzer is suitable for efficient, fast, non-destructive, quantitative analysis of moisture, protein, starch, fat and other indicators of samples. Detection analysis provides fast detection methods for grain quality identification.
