Department of Medicinal Chemistry, Medical University of Lublin, Jaczewskiego 4, 20-090 Lublin, Poland.
Department of Pharmaceutical Botany, Medical University of Lublin, Chodzki 1, 20-093 Lublin, Poland.
Molecules. 2023 Apr 26;28(9):3745. doi: 10.3390/molecules28093745.
The advantages of hyperspectral imaging in videodensitometry are presented and discussed with the example of extracts from 70 Polish grasses. An inexpensive microscope camera was modified to cover the infrared spectrum range, and then 11 combinations of illumination (254 nm, 366 nm, white light), together with various filters (no filter, IRCut, UV, cobalt glass, IR pass), were used to register RGB HDR images of the same plate. It was revealed that the resulting 33 channels of information could be compressed into 5-6 principal components and then visualized separately as grayscale images. We also propose a new approach called principal component artificial coloring of images (PCACI). It allows easy classification of chromatographic spots by presenting three PC components as RGB channels, providing vivid spots with artificial colors and visualizing six principal components on two color images. The infrared region brings additional information to the registered data, orthogonal to the other channels and not redundant with photos in the visible region. This is the first published attempt to use a hyperspectral camera in TLC and it can be clearly concluded that such an approach deserves routine use and further attention.
本文以 70 种波兰草本植物提取物为例，介绍并讨论了高光谱成像在视频密度计量学中的优势。对廉价的显微镜相机进行了改装，以覆盖红外光谱范围，然后使用 11 种照明组合（254nm、366nm、白光）以及各种滤光片（无滤光片、IRCut、UV、钴玻璃、IR 通）对同一载玻片进行了 RGB HDR 图像的注册。结果表明，生成的 33 个通道信息可以压缩为 5-6 个主成分，然后分别以灰度图像的形式可视化。我们还提出了一种称为图像主成分人工着色（PCACI）的新方法。它通过将三个主成分作为 RGB 通道呈现，很容易对色谱斑点进行分类，为斑点提供人工颜色，并且可以在两个彩色图像上可视化六个主成分。红外区域为记录的数据带来了与其他通道正交且与可见光区域中的照片不冗余的附加信息。这是首次尝试在 TLC 中使用高光谱相机，显然可以得出这样的方法值得常规使用和进一步关注的结论。
