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| Construction of near infrared reflectance spectroscopy model for oil content and fatty acid content in Symplocos paniculate fruit |
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| DOI： |
| KeyWord:Symplocos paniculate fruits near infrared reflectance spectroscopy oil content fatty acid |
| FundProject:湖南省创新平台与人才计划（2022PT1004）；国家科技支撑项目（2015BAD15B020）；湖南省重大标志性创新示范工程项目（2019XK2002） |
| Author Name | Affiliation | | CAO Huifang1,2, JIANG Lijuan2,3, LIU Qiang2,3,
ZHAO Zhiwei2,3, LI Peiwang2 | 1.Changsha Environmental Protection College，Changsha 410000, China
2.State Key Laboratory of
Utilization of Woody Oil Resource, Hunan Academy of Forestry, Changsha 410004, China
3.College of Life Sciences and Technology, Central South University of
Forestry and Technology, Changsha 410004, China |
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| Abstract: |
| In order to establish a rapid and nondestructive determination for oil content and fatty acid content in Symplocos paniculate fruit, the near-infrared spectrum data of 115 Symplocos paniculate fruits were collected by DA 7200 near infrared spectrometer．Standard normal variable transformation (SNV), multiplicative dispersion correction (MSC), convolutional smoothing (SG), first order derivative (FDE) and second order derivative (SDE) and a combination of these methods were used to pretreat the raw spectra, the effects of different pretreatment methods were compared to select the best pretreatment method, and the prediction models of oil content and fatty acid content were established by using partial least squares （PLS）and principal component regression analysis(PCR), and the RCV and RMSECV of different models were compared to determine the best model.The external validation of the model was performed by combining the results of the chemical method. The results showed that the best modeling methods for oil content, palmitic acid and oleic acid content in Symplocos paniculate fruit were PLS with SG+FDE pretreatment, stearic acid contents with PLS and SNV+SDE pretreatment, linoleic acid content with PLS and MSC+ SDE pretreatment, and linolenic acid content with PLS and FDE pretreatment. The model validation results showed that near infrared reflectance spectroscopy(NIRS) could be used for the determination of oil content and each fatty acid content of Symplocos paniculate fruits,and the determination coefficients of NIRS model for oil content, linolenic acid, linoleic acid, stearic acid, palmitic acid and oleic acid contents were 0.960 2,0.727 8,0.909 1,0.709 8,0.903 7 and 0.912 0, respectively. In summary, the established NIRS model used for the rapid and nondestructive determination of qualitative characteristics in Symplocos paniculate fruit has excellent predictive capability, and can be used for large-scale screening and evaluation of Symplocos paniculate germplasm resources. |
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