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A NIR model was established to predict the volatile oil content of single particle red Zanthoxylum seed in this paper. With the characteristic of irregular surface, A single Zanthoxylum seed will reflect the great difference in response to spectrum signals the entire spectrum detection and exceptional sample rejection method were employed before model optimization. As a result, the NIR model for predicting the content of volatile oil were built up by 74 red Zanthoxylum seed and results indicated: the NIR model of the single grain Zanthoxylum seed had good stability and predictability (RSD 3). Results of this paper suggested that NIR could be used as a quick and convenient method for predicting the volatile oil content of Zanthoxylum seed, which is useful for breeding and the quality evaluation of it.

Detection Of Volatile Oil Content Of Single-Grainzanthoxylum Seed Based on Nir