首页> 外文期刊>Analytical methods >Attenuated total reflectance/Fourier transform infrared (ATR/FTIR) mapping coupled with principal component analysis for the study of in vitro degradation of porous polylactide/hydroxyapatite composite material
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Attenuated total reflectance/Fourier transform infrared (ATR/FTIR) mapping coupled with principal component analysis for the study of in vitro degradation of porous polylactide/hydroxyapatite composite material

机译:减弱总反射率/傅里叶变换红外(ATR / FTIR)测绘,其配对研究多孔聚物/羟基磷灰石复合材料的体外降解研究的主要成分分析

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Attenuated total reflectance/Fourier transform infrared (ATR/FTIR) mapping was used to characterize the degradation of porous polylactide/hydroxyapatite (PLLA/HA) composite material. The ATR/FTIR images were acquired using a Continuum XL FTIR imaging microscope coupled with a slide-on Si ATR accessory at a resolution of 8 cma?’1 with eight co-added scans in the wavenumber range of 4000a€“650 cma?’1. Principal component analysis (PCA) was used to analyze the FTIR image data. Four principal components (PCs) were identified by analyzing both the scree plot and the loading spectra. The degradation at various days was clearly described by the curve of the intensity ratio of the band at 1026 cma?’1 to the one at 1755 cma?’1 (I1026/I1755) in the first PC's (PC1's) loading plot versus the number of days. The shape and position of the second PC (PC2) was similar to the IR spectrum of water, indicating that it comes from the contribution of water absorbed on the porous sample. The variations of the bands at 1755 cma?’1 and 1026 cma?’1 in PC3's loading plots reflected the changes in PLLA and HA on different days, respectively, while the fourth PC (PC4) suggested a transition from the abstract signal to noise. These results demonstrate that ATR/FTIR mapping coupled with PCA could effectively characterize the degradation process of porous PLLA/HA composite materials.
机译:衰减的总反射率/傅里叶变换红外(ATR / FTIR)映射用于表征多孔聚物/羟基磷灰石(PLLA / HA)复合材料的降解。使用连续体XL FTIR成像显微镜获取ATR / FTIR图像,其分辨率为8 CMA的分辨率,八个加入扫描在4000A€“650 CMA?”的波数范围内,有八个加入SI ATR配件。 1。主要成分分析(PCA)用于分析FTIR图像数据。通过分析Scree图和加载光谱来识别四个主成分(PC)。通过在1026cma的强度比的强度比的曲线在1755cma(pc1的)加载曲线中的1755 cma?1(i1026 / i1755)中的强度比的曲线清楚地描述了各个天的劣化。天。第二PC(PC2)的形状和位置类似于IR的IR水分,表明它来自多孔样品上吸收的水的贡献。在PC3的加载图中,1755 CMA?1和1026 CMA?1的频带的变化反映了不同日子的PLLA和HA的变化,而第四个PC(PC4)建议从抽象信号到噪声的转换。这些结果表明,与PCA结合的ATR / FTIR映射可以有效地表征多孔PLLA / HA复合材料的降解过程。

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