Method for establishing agilawood oil content near infrared spectral prediction model

Abstract

The invention relates to a method for establishing an agilawood oil content near infrared spectral prediction model, and belongs to the technical field of physical and chemical detection. The method comprises the following steps: acquiring spectral data of agilawood powder by applying a DA7200 near-infrared spectrum analyzer; then guiding the spectral data acquired from Simplicity TM software in a format of JCAMP-DX into chemometrics software The Unscrambler 9.8 so as to obtain a near-infrared original spectrogram of an agilawood powder sample; and then correlating the convectional determined result of the agilawood oil content and near-infrared spectral data of a sample pretreated by spectrum by a partial least squares so as to establish the agilawood oil content near infrared spectral prediction model. The established model is relatively high in model prediction accuracy, can be used for actually predicting an unknown sample, and can be mainly used for detecting the fragrance formation quality of agilawood rapidly.

Description

technical field [0001] The invention relates to the establishment of a near-infrared spectrum prediction model, in particular to the establishment of a near-infrared spectrum prediction model for the oil content of agarwood, and belongs to the technical field of physical and chemical detection. Background technique [0002] In recent years, with optical fiber With the development of sensing technology and the further deepening of the combination of near-infrared spectroscopy detection technology and computer network technology, non-invasive qualitative and quantitative analysis of near-infrared spectroscopy technology has become possible. Light has different absorption and scattering characteristics, so near-infrared light has a strong ability to distinguish different soft tissues and changing tissues. Based on this property, some optical properties of tissues can be measured using near-infrared spectroscopy. parameter In order to obtain certain physiological parameters o...

AI Technical Summary

Problems solved by technology

Natural wild agarwood resources used to be very rich, and there was a record in the history books that "trunks and branches are connected, mountains and ridges are connected, and there is no end to thousands of miles". It has been severely damaged, coupled with the fact that the seeds are easy to lose germination ability and the natural regeneration ability is weak, the natural growth of Agarwood agarwood population is rare, only scattered disabled plants are scattered, and large plants are not common, resulting in this species. critical state, it is a national second-level key protected wild plant

Because of its high economic value and good market prospects, counterfeit products emerge in endlessly. However, at present, it can only be identified by traditional color and specific gravity, with low accuracy. Moreover, the near-infrared spectrum prediction model for oil content, an important quality index of agarwood The establishment and detection of

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