PharmAnalysis, Inc., 2717 N CR 475 West, West Lafayette, Indiana 47906, USA.
Appl Spectrosc. 2010 May;64(5):467-75. doi: 10.1366/000370210791211745.
The advent of robust, rugged, and current Good Manufacturing Practices (cGMP) compliant hand-held Raman spectrometers provides a wealth of opportunities for the analytical pharmaceutical chemist to bring the laboratory to the sample. This paper discusses the use of hand-held Raman spectrometers for the development of qualitative chemical identification methods for a number of well-known pharmaceutical products (tablets and capsules). Methods were developed on two different instruments and transferred to a third instrument for application of the methodology to independently obtained drug products. A novel decision algorithm is presented for the assessment of the correlation between the Raman spectrum of the unknown sample to the spectrum of the authentic reference material. This novel algorithm considers accuracy but more importantly precision (uncertainty/reliability), thus removing human bias that is associated with typical spectral searching approaches. The results presented in this paper show the reliability of developing, validating, and transferring chemical identification assays on hand-held Raman spectrometers.
坚固、耐用且符合现行良好生产规范 (cGMP) 的手持式拉曼光谱仪的出现,为分析型药物化学家将实验室带到样品现场提供了丰富的机会。本文讨论了手持式拉曼光谱仪在为数种知名药物产品(片剂和胶囊)建立定性化学鉴别方法方面的应用。方法是在两台不同的仪器上开发的,并转移到第三台仪器上,以便将该方法应用于独立获得的药物产品。本文提出了一种新颖的决策算法,用于评估未知样品的拉曼光谱与真实参考物质光谱之间的相关性。该新算法不仅考虑了准确性,更重要的是还考虑了精度(不确定性/可靠性),从而消除了与典型光谱搜索方法相关的人为偏差。本文介绍的结果表明,在手持式拉曼光谱仪上开发、验证和转移化学鉴别分析是可靠的。