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Prediction of cell focal adhesions using Fourier transform infrared spectroscopy

主讲人:徐君丽(爱尔兰都柏林大学) 上传时间:2020/11/13 16:23
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课程详情

Biomaterials’ surface properties elicit diverse cellular responses in biomedical and biotechnological applications. Predicting cell behaviour on polymeric surface is an ongoing challenge due to its complexity. This work proposes a novel modelling methodology based on attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy. Spectra were collected on wetted polymeric surfaces to incorporate both surface chemistry and information on water-polymer interactions. The best model was seen to predict total area of focal adhesions (FAs) with coefficient of determination for prediction (〖R^2〗_P) of 0.94 and root mean square errors of prediction (RMSEP) of 2.57 ?m when tested on an independent experimental set. This work offers new insights into our understanding of cell-biomaterial interactions. The presence of carboxyl groups in polymers promoted larger adhesion areas, yet the formation of carbonyl-to-water interaction decreased adhesion areas. Surface wettability, which was related to water-polymer interaction, was proven to highly influence cell adhesion.

相关领域:

(食品/饮料/烟草)-(综合)

相关仪器:

(化学分析仪器)-(光谱仪器)-(近红外光谱(NIR))

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