文献类型：期刊文献

英文题名：Prediction of saponin content in soapnut (Sapindus mukorossi Gaertn.) fruits by near infrared spectroscopy

作者：Li, Yanjie[1,2] Shao, Wenhao[1] Dong, Ruxiang[1] Jiang, Jingmin[1] Diao, Songfeng[1,3]

第一作者：李彦杰;Li, Yanjie

通信作者：Shao, WH[1];Diao, SF[1];Diao, SF[2]|[a0005cd50a9e740d69349]邵文豪;[a000502212f805c41ced9]刁松锋;

机构：[1]Chinese Acad Forestry, Res Inst Subtrop Forestry, Fuyang Cty, Zhejiang, Peoples R China;[2]Univ Canterbury, Sch Forestry, Christchurch, New Zealand;[3]Chinese Acad Forestry, Nontimber Forest Res & Dev Ctr, China Paulownia Res Ctr, Zhengzhou, Henan, Peoples R China

年份：2018

卷号：26

期号：2

起止页码：95-100

外文期刊名：JOURNAL OF NEAR INFRARED SPECTROSCOPY

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000435886100003)】；

基金：The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was funded by Zhejiang Science and Technology Major Program on Agricultural New Variety Breeding (2016C02056).

语种：英文

外文关键词：Significance multivariate correlation; partial least squares; saponin content; nondestructive analysis; near infrared; spectroscopy

摘要：In this study, near infrared spectroscopy has been demonstrated to quickly determine the saponin content in soapnut fruits. Partial least squares analysis combined with pre-processing methods and significance multivariate correlation variable selection was introduced to develop a statistical model calibrated for saponin content in soapnut fruits. The results showed that the first derivative yielded the best partial least squares calibration models with spectra of both the surface of dried fruits and the powder of dry seeded fruits with root mean square error of calibration values of 0.85% and 0.59%, respectively. The surface model presented less accuracy than the powder model. However, when the significance multivariate correlation variable selection method was applied to select the best variables from the spectra, the partial least squares models using spectra of surface and powder samples became similar, with higher R-2 values (0.84 and 0.90), lower root mean square error of calibration values of 0.23% and 0.39%. It was suggested that near infrared spectroscopy could be a promising and rapid method for predicting the saponin content in the soapnut fruits without grinding them into powder.