Article ID Journal Published Year Pages File Type
1230796 Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2017 9 Pages PDF
Abstract

•NIR analysis for cryptotanshinone in tanshinone extract is verified.•A new strategy of overall uncertainty measurement for near infrared (NIR) analysis is brought forward.•Quality by design (QbD) elements are utilized to estimate the overall uncertainty.•The proposed method can help further optimize the NIR analytical procedures.

This study presented a new strategy of overall uncertainty measurement for near infrared (NIR) quantitative analysis of cryptotanshinone in tanshinone extract powders. The overall uncertainty of NIR analysis from validation data of precision, trueness and robustness study was fully investigated and discussed. Quality by design (QbD) elements, such as risk assessment and design of experiment (DOE) were utilized to organize the validation data. An “I × J × K” (series I, the number of repetitions J and level of concentrations K) full factorial design was used to calculate uncertainty from the precision and trueness data. And a 27–4 Plackett–Burmann matrix with four different influence factors resulted from the failure mode and effect analysis (FMEA) analysis was adapted for the robustness study. The overall uncertainty profile was introduced as a graphical decision making tool to evaluate the validity of NIR method over the predefined concentration range. In comparison with the T. Saffaj's method (Analyst, 2013, 138, 4677.) for overall uncertainty assessment, the proposed approach gave almost the same results, demonstrating that the proposed method was reasonable and valid. Moreover, the proposed method can help identify critical factors that influence the NIR prediction performance, which could be used for further optimization of the NIR analytical procedures in routine use.

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Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
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