MicroNIR 1700EC

An ultra-compact, general-purpose spectrometer.

The MicroNIR 1700EC is an excellent development tool for a new user assessing the feasibility of NIR spectroscopy for their applications. The product is offered with a number of accessories that allow for ease of use in an at-line or laboratory setting.

The VIAVI MicroNIR 1700EC is a lightweight and cost-effective near infrared (NIR) spectrometer that includes the VIAVI high-precision optical coating technology with innovation in optical1700EC system design and miniaturization.

By combining VIAVI linear variable filter (LVF) technology as the dispersing element, the spectrometer has a light source, collection optics, electronics, and LVF in a housing that measures <50 mm in diameter, <45 mm in height and weighs only 64 g. The spectrometer is USB powered and can be used in diffuse reflection, transmission, or transflection modes. A MicroNIR Pro package includes a number of accessories that either enhance ease-of-use or enable measuring with varied configurations that perfectly suit specific applications.

Standard Accessories

  • Measurement collar with sapphire window
  • Spectralon reference target
  • Power and data USB-C cable
  • Flash drive with software, manuals and support documentation


  • Transmission fixture for liquid sample measurement

Key Benefits

  • Covers the first and second overtone spectral region: 950 – 1650 nm
  • Powerful calibration model development tool
  • Enhanced electronic and mechanical design for better system stability and thermal control
  • Real-time predictions and method management


  • Food, feed and agriculture
  • Pharmaceutical
  • Industrial processing


The MicroNIR 1700EC includes the VIAVI MicroNIR Pro software suite with features for data acquisition, calibration and method development, user management, and real-time prediction. Using MicroNIR Pro software, a developer can process data and build complete chemometric models using regression and classification algorithms including PCA, PLS, Spectral Match Value and Moving Block analyses. Batch mode predictions on stored data are also supported.

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