Using of internal standard and modeling the data processing of phospholipid fatty acids

Abstract:

[Objective] To estimate the reference range of internal standard amount of unknown samples and optimize the method of data processing. [Methods] The different amount use of Methyl Nonadecanoate as internal standard was studied and discussed. The data analysis model of fatty acids was established to optimize the data processing of PLFA. [Results] The number and response values of detected PLFA were advanced with the increased of amount of internal standard, but both reduced when the amount over 16 nmol/g. Twenty-five sets of PLFA data showed that the PLFA contents calculated by response value were higher than by percentage value. A data analysis model of PLFA was established using Dot Net C# language. [Conclusion] The reference range of internal standard amount of unknown samples was preliminary estimated and optimized. Calculation of PLFA content by response value can avoid the error caused by the lack of percentage value. The use of calibration coefficient can reduce the system error. Data processing was automated by the data analysis mode. It improves the efficiency and accuracy of data analysis.