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    Optosky Coffee Quality NIR Grading Solution

    author: Peggy
    2026-09-10
    The Optosky Dedicated Coffee Near-Infrared (NIR) Analyzer is developed specifically for quality control across the coffee industry. It provides rapid testing for critical indicators—such as moisture, density, color difference, and caffeine content—in coffee beans and coffee powder. This solution empowers coffee plantations, processing plants, and trading companies to achieve swift quality grading and robust quality control.

    Industry Pain Points

    • Highly Subjective Sensory Cupping: Traditional sensory evaluation is highly subjective, lacks consistency, and relies heavily on the individual experience of cuppers.
    • Lengthy Testing Cycles: Conventional physical and chemical testing takes too long, failing to meet the fast-paced demands of high-volume grading.
    • Lack of Rapid Field Tools: During the green coffee bean procurement phase, buyers lack quick testing tools, making on-site quality control extremely difficult.
    • Unquantifiable Roasting Control: Roasting degrees are hard to measure precisely by eye, leading to poor consistency between product batches.
    • Prohibitive Equipment Costs: Imported testing equipment is heavily overpriced, placing it out of financial reach for small and medium-sized enterprises (SMEs).

    Our Solution

    The Optosky Coffee NIR Testing Solution highlights our flagship IR2200 Handheld NIR Analyzer. Utilizing diffuse reflectance NIR spectroscopy combined with proprietary coffee calibration models, this IP54-rated, ultra-portable device delivers non-destructive, rapid testing for coffee beans and powder. It seamlessly spans the entire supply chain—from farming and procurement to processing and roasting.
    • For high-precision laboratory research and comprehensive quality control, the IR2000 Pro Multifunctional Full-Spectrum NIR Analyzer is also available as a benchtop alternative.
    • Non-Destructive Testing: Zero sample damage. Samples can be fully recovered and reused, cutting down waste.
    • 1-Minute Multi-Indicator Analysis: Simultaneously tests moisture, density, color/roasting degree, caffeine, and other metrics within one minute.
    • Highly Versatile Sample Handling: Supports multiple sample states, including green beans, roasted beans, and ground coffee powder.
    • Quantified Roasting Metrics: Digitizes and grades roasting levels to ensure flawless product batch consistency.
    • Flexible Portable & Benchtop Formats: Available in both handheld and benchtop models to suit both rugged field-testing and sterile laboratory environments.

    Technical Parameters

    • Recommended Model: IR2200 Handheld NIR Analyzer
    • Spectral Range: 900 – 1700 nm (Customizable to 900 – 2500 nm)
    • Wavelength Accuracy: ≤ 3 nm
    • Signal-to-Noise Ratio (SNR): > 600 : 1
    • Testing Time: ≤ 5 seconds
    • Light Source: Tungsten Halogen Lamp, lifetime > 10,000 hours
    • Operating System: Android
    • Screen Size: 6-inch capacitive touch screen
    • Protection Level: IP54
    • Weight: Approx. 850 g
    • Battery Endurance: ≥ 4 hours (Continuous testing state)
    • Operating Temperature: 5 – 45 ℃
    • Communication Interface: Type-C, WiFi / Bluetooth
    • Battery: Built-in 3200 mAh Lithium-ion rechargeable battery
    • Dimensions: 237 × 100 × 198 mm
    • Standard Accessories: Standard White Calibration Board

    Trust Endorsement: Customer Case Studies

    • A Coffee Estate in Colombia: Implemented rapid grading during green bean procurement, boosting purchasing efficiency by 60% and drastically reducing quality disputes.
    • A Major Coffee Exporter in Brazil: Conducted pre-export quality checks to guarantee conformity with international standards, resulting in an 80% drop in product return rates.
    • A Famous Domestic Coffee Chain: Utilized on-site roasting degree monitoring to significantly elevate cup profile consistency across all stores.
    • A Coffee Processing Enterprise in Yunnan, China: Replaced traditional lab testing workflows with our NIR solution, cutting testing labor costs by 70%.
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