为基线文物纠正紫外线可见光谱
Andrew J Basalla1, Brent S Kendrick2
1KBI Biopharma, Inc., Louisville, CO, USA; First Principles Biopharma, LLC, Louisville, CO, USA.
Journal of pharmaceutical sciences
|August 24, 2023
概括
精确的蛋白质度测量非常重要. 这项研究引入了一种新的曲线拟合方法,用于纠正紫外线光谱学中的光散射误差,提高各种样品的测量可靠性.
科学领域:
- 分析化学 分析化学
- 生物化学 生物化学
- 频谱学是一种光谱学.
背景情况:
- 颗粒和蛋白质聚合物的光散射会干扰紫外线光谱学度测量.
- 现有的校正方程式可能会因样本组合变化或偏离其开发基础而失败.
研究的目的:
- 开发和验证一种可靠的方法来纠正UV光谱中的光散射器件.
- 为了提高在分散剂的存在下蛋白质度测定的准确性.
主要方法:
- 开发了一种曲线匹配基线减法方法,集成了基本的雷利和米散射原理.
- 该方法将仪器基线人工物纳入纠正模型.
- 验证涉及多种控制:蛋白质尺寸标准,强制降解聚合物,晶体病毒和聚烯纳米圈.
主要成果:
- 建议的雷利-米校正方法在各种散射场景中表现出有效的准确性.
- 该方法成功地解决了由颗粒物,可溶性蛋白质聚合物和大型蛋白质引起的错误.
- 验证证实了该方法与各种生物和合成散射剂的可靠性.
结论:
- 曲线适配雷利-米校正为准确的紫外线光谱度测量提供了比现有方法更可靠的替代方案.
- 这种方法提高了在复杂样本中量化蛋白质和类似大分子的精度.
- 经过验证的方法为生物制药分析和研究提供了宝贵的工具.
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