G2020-A near infrared soybean analyzer

Product ID:HZNSgw006

Price: Please inquire PDF Format
Supply Ability:90 SETS/MON
Port:SHENZHEN
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  • Product Introduction
  • Consulting
  • Model NumberG2020-A
    Brand NameXINGCHUANGZHONGPU
    Payment TermsT/T, paypal
    G2020-A near infrared soybean analyzer
    Introduction
    G2020-A near-infrared soybean analyzer is suitable for efficient, fast, non-destructive, quantitative analysis of soybean moisture, protein, and fat indicators, improve soybean quality inspection efficiency, and obtain greater value for customers.
    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, and automatically collects 15 sub-samples for analysis. In combination with advanced optimization algorithms, the accuracy and stability of the test results are improved.
    3. Non-destructive: sample does not need grinding
    4. Intelligent analysis: equipped with dedicated analysis software, with functions such as self-test, model calibration, wavelength calibration, test, automatic report generation, etc.
    5.Easy operation: 8-inch capacitive touch screen, windows7 operating system, can be mastered after simple training
    6. Compatible power supply design: meet the needs of different occasions, and can work outdoors in all weather
    7. Supports Internet applications: Provides USB typeA, USB typeB, and RJ45 network interfaces, which can be connected to the Internet to facilitate daily instrument maintenance, model upgrades, and database updates 
    Technical Parameters
    1. Spectral range: 680-1050nm
    2. Resolution: better than 10nm
    3. Light path of sample cell: 25mm
    4. Detector: Silicon Diode Array
    5. Measurement method: transmission, single measurement can detect up to 15 sub-samples

  • Introduction
    G2020-A near-infrared soybean analyzer is suitable for efficient, fast, non-destructive, quantitative analysis of soybean moisture, protein, and fat indicators, improve soybean quality inspection efficiency, and obtain greater value for customers.
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