KU Leuven, Department of Biosystems, Biophotonics Group, Leuven, Belgium.
KU Leuven, Department of Biosystems, Biosensors Group, Leuven, Belgium.
J Biophotonics. 2023 Jun;16(6):e202200338. doi: 10.1002/jbio.202200338. Epub 2023 Feb 21.
This paper presents porous polydimethylsiloxane (PDMS) optical phantoms with tunable microstructural and optical properties to mimic porous biological tissues (e.g., fruit) during the design and optimization of novel optical setups. A well connected salt network formed using salt particles of various size distributions was used to obtain porous PDMS phantoms of different porous features including porosity, pore size distribution, pore number density and pore connectivity. These microstructural features are strongly related to the light scattering from the phantom where a higher reduced scattering coefficient ( ) was observed from the porous PDMS phantom with a higher number of small pores compared to the optical phantom with a lower number of larger pores. The prepared phantoms were used to validate GASMAS (gas in scattering media absorption spectroscopy) H O and O sensors by quantifying the optical path length through the pores and the O concentration inside the pores.
本文提出了具有可调微结构和光学特性的多孔聚二甲基硅氧烷（PDMS）光学模型，以在新型光学装置的设计和优化过程中模拟多孔生物组织（例如水果）。使用具有不同粒径分布的盐颗粒形成的连通良好的盐网络，以获得具有不同多孔特征的多孔 PDMS 模型，包括孔隙率、孔径分布、孔数密度和孔连通性。这些微观结构特征与来自模型的光散射密切相关，与具有较少较大孔的光学模型相比，具有更多小孔的多孔 PDMS 模型的光散射减少系数（ ）更高。通过定量测量通过孔的光程和孔内的 O 浓度，使用制备的模型验证了 GASMAS（散射介质中气体吸收光谱）H O 和 O 传感器。
