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Related Experiment Video

Updated: Feb 8, 2026

In Situ Surface Temperature Measurement in a Conveyor Belt Furnace via Inline Infrared Thermography
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Inline Spectroscopy: From Concept to Function.

Jon Tschudi1, Marion O'Farrell1, Kari Anne Hestnes Bakke1

  • 1SINTEF Digital, Oslo, Norway.

Applied Spectroscopy
|June 28, 2018
PubMed
Summary
This summary is machine-generated.

Commercial success in inline spectroscopy requires understanding how optical instrumentation design impacts data quality and prediction models. A multidisciplinary team using first principles can bridge the gap between applied spectroscopy research and market solutions.

Keywords:
Inline spectroscopyindustrial applicationsinstrumentationoptical design

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Area of Science:

  • Applied Spectroscopy
  • Optical Instrumentation
  • Data Science

Background:

  • Applied spectroscopy research often focuses on proof-of-concept studies and lab demonstrations.
  • Commercial success of inline spectroscopy applications lags behind research output.
  • A gap exists between laboratory-based research and market-ready industrial solutions.

Purpose of the Study:

  • To analyze inline spectroscopy from an instrumentation viewpoint.
  • To highlight the critical link between optical instrumentation design, data quality, and predictive model performance.
  • To advocate for a multidisciplinary approach in developing commercially viable spectroscopy solutions.

Main Methods:

  • Discussion of instrumentation design principles in applied spectroscopy.
  • Analysis of the impact of instrumentation on data quality.
  • Examination of the relationship between data quality and prediction model performance.
  • Emphasis on a first-principles, multidisciplinary design process.

Main Results:

  • The performance of prediction models is directly limited or enhanced by the quality of data generated by optical instrumentation.
  • Understanding the influence of instrumentation design on data quality is crucial for commercial success.
  • A significant gap, termed the 'valley of death,' hinders the transition of research into commercial products.

Conclusions:

  • Successful commercialization of inline spectroscopy hinges on robust optical instrumentation design and data quality management.
  • Multidisciplinary design teams employing first principles are essential to overcome development challenges.
  • Bridging the gap between applied spectroscopy research and commercial success requires a focus on practical instrumentation and data integrity.