Objective      To establish

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H NMR fingerprint of Alisma orientalis (Sam.) Juzep.

to reveal the holistic metabolite difference of samples from different geographical origins

and to conduct quality evaluation by

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H NMR-based metabonomics.       Methods      

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H NMR spectra of the samples from different origins were obtained by NMR spectrometer. The obtained free induction decay (FID) signal will be imported into MestReNova software and divided into segments. The data will be normalized and p

rocessed by partial least squares discriminant analysis to perform pattern recognition.       Results      

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H NMR fingerprint of Alisma orientalis (Sam.) Juzep. was established. Four primary metabolites were identified as 23-O-Acetylalisol B

sucrose

β-galactose

and alanine. It was found that the sample collected from Sichuan had the best quality through quantitative

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H NMR analysis of 23-O-Acetylalisol B. Sichuan and Fujian groups had significantly difference in accuracy (P0.05).       Conclusion      

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H NMR-based metabonomics can effectively distinguish the origins of samples and perform quality evaluation. This method is efficient

fast

and non-destructive

without drawing a standard curve.

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H NMR-based metabonomics shows more comprehensive information as compared with traditional HPLC

and the relative strength of the signal spectrum can reflect the relative contents of the components.