紫外光谱毒性检测自动进样器:基于与载体蛋白结合信息的视角

Xiangshuai Li, Xiangfen Li, Zishi Wang, Hongliang Xu
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引用次数: 0

摘要

研究表明,药物开发各个阶段的高毒性是新药上市的主要限制因素。目前,文献中已经发表了许多毒性测定方法。它们大多主要依靠紫外光谱仪和人工进样。但人工注射存在检测结果准确性低、检测时间长、操作复杂、交叉污染、安全系数不足等问题。因此,有必要开发一种自动进样器,与基于载体蛋白结合信息的药物毒性预测平台和紫外分光光度计结合使用。紫外光谱毒性检测自动进样器采用石英细胞夹持器夹紧石英细胞,通过位置传感器实现精确的自动进样功能。通过运动仿真,整个运动过程平稳无干扰,石英胞的运动位置准确。紫外光谱毒性检测自动进样器的研究与开发将极大地促进药物开发早期毒性的精确检测。紫外光谱毒性检测自进样器的研制将为药物开发初期的毒性精确检测提供硬件支持。同时,它将大大缩短药物研发过程,节省大量的药物研发费用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Automatic Sampler for UV Spectroscopy Toxicity Detection: Based on the Perspective of Binding Information with the Carrier Protein
Studies have shown that high toxicity at all stages of drug development is a major limiting factor in getting a new drug to market. At present, a number of toxicity assay methods have been published in the literature. Most of them rely mainly on the UV spectrometer and manual injection. However, the manual injection has low accuracy of detection results, long detection time, complicated operation, cross-contamination, and inadequate safety factor. Therefore, it is necessary to develop an automatic sampler that is used in combination with a platform for predicting drug toxicity based on carrier protein binding information and an ultraviolet spectrophotometer. The automatic sampler for UV spectroscopy toxicity detection uses the quartz cell gripper to clamp the quartz cell and realizes the precise automatic sample injection function through the position sensor. Through the movement simulation, the whole moving process is smooth and without interference, and the movement position of the quartz cell is accurate. The research and development of the automatic sampler for UV spectroscopy toxicity detection will significantly promote the precise detection of toxicity in the early stage of drug development. The development of UV spectral toxicity detection autosampler will provide hardware support for the precise detection of toxicity in the early stage of drug development. At the same time, it will significantly shorten the drug R&D process and save a lot of R&D expenses for drug R&D.
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