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相关概念视频

Multiple Comparison Tests01:13

Multiple Comparison Tests

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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
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Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

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Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
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The Concept of Multiple Allelism
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Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
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一个多实验室,多平台分析多属性方法的分析.

Joshua Shipman1, Mercy Oyugi1,2, Tim Andres Marzan1

  • 1Office of Pharmaceutical Quality Research, Center for Drug Evaluation and Research, US Food and Drug Administration, Saint Louis, MO 63110, USA.

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概括
此摘要是机器生成的。

多属性方法 (MAM) 显示出在生物制药分析中取代传统质量控制 (QC) 方法的潜力. 跨实验室和仪器的验证证实了它对量化治疗蛋白质属性的能力.

关键词:
质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量一个单克隆抗体.多属性方法多属性方法质量控制质量控制质量控制

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科学领域:

  • 生物制药学分析
  • 分析化学 分析化学
  • 蛋白质的表征 蛋白质的表征

背景情况:

  • 多属性方法 (MAM) 越来越多地用于描述治疗性蛋白质.
  • 过渡MAM到质量控制 (QC) 需要方法能力评估和风险分析.

研究的目的:

  • 评估经过验证的MAM对量化产品质量属性 (PQA) 的能力.
  • 为了比较MAM性能与传统色谱法 (HILIC-FLD,CEX-UV) 的性能.
  • 评估MAM可转移性的仪器间和实验室间变异性.

主要方法:

  • 采用了经过验证的MAM方法.
  • PQA的量化包括糖化,脱化,氧化和N-/C-termini.
  • 与水友交互色谱-光检测 (HILIC-FLD) 和阳离子交换色谱-紫外线 (CEX-UV) 的比较.

主要成果:

  • 在各种稳定性条件下 (压力,长期,加速) MAM成功量化了PQA.
  • 仪器间和实验室间的数据证明了MAM的一致性.
  • 确定了MAM和传统方法之间的相关性.

结论:

  • 该研究为将MAM转移到QC环境提供了必要的数据.
  • MAM显示有可能取代正交的QC方法,提高效率.
  • 方法的可转移性和相关性是QC采用的关键.