Abstract

Non-invasive determination of the optical properties is essential for understanding the light propagation in biological tissues and developing optical techniques for quality detection. Simulation-based models provide flexibility in designing the search space, while measurement-based models can incorporate the unknown system responses. However, the interoperability between these two types of models is typically poor. In this research, the mismatches between measurements and simulations were explored by studying the influences from light source and the incident and detection angle on the diffuse reflectance profiles. After reducing the mismatches caused by the factors mentioned above, the simulated diffuse reflectance profiles matched well with the measurements, with R2 values above 0.99. Successively, metamodels linking the optical properties with the diffuse reflectance profiles were respectively built based on the measured and simulated profiles. The prediction performance of these metamodels was comparable, both obtaining R2 values above 0.96. Proper correction for these sources of mismatches between measurements and simulations thus allows to build a simulation-based metamodel with a wide range of desired optical properties that is applicable to different measurement configurations.

Highlights

  • Spectroscopic techniques have been widely combined with chemometrics methods to build quality prediction models for various agricultural and food products [1,2,3,4]

  • The effects of the power, size and incident angle of the illumination beam and the detection angle on the diffuse reflectance profiles were investigated with Monte Carlo simulations

  • Deviation of the incident angle from the normal of the sample surface changed the central symmetry of the light spot, thereby influencing the spatial distribution of the diffusely reflected light

Read more

Summary

Introduction

Spectroscopic techniques have been widely combined with chemometrics methods to build quality prediction models for various agricultural and food products [1,2,3,4]. These models estimate the link between the obtained spectra and the corresponding quality parameters with the help of mathematical techniques. A new prediction model has to be built for every new setup, which greatly increases the workload and costs. In response to these limitations, the bulk optical properties (BOP), which are independent of the factors mentioned above, have been proposed as an alternative option [5]. The field of building measurement configurations and quality detection models is in urgent need of robust and reliable techniques to determine the BOP of complex (biological) materials [7]

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call