数字农科院2.0

Quantification Of Water, Protein And Soluble Sugar In Mulberry Leaves Using A Handheld Near-Infrared Spectrometer And Multivariate Analysis

文献类型： 外文期刊

作者： Ma, Yue;Zhang, Guo-Zheng;Zhang, Guo-Zheng;Rita-Cindy, Sedjoah Aye-Ayire

作者机构：

关键词： Mulberry Leaves; Water Content; Crude Protein; Soluble Sugar; Near-Infrared Spectroscopy; Hand-Held Spectrometers; Wavelength Selection

期刊名称： MOLECULES

ISSN：

年卷期： 2019 年 24 卷 24 期

页码：

摘要： Mulberry (Morus alba L.) leaves are not only used as the main feed for silkworms (Bombyx mori) but also as an added feed for livestock and poultry. In order to rapidly select high-quality mulberry leaves, a hand-held near-infrared (NIR) spectrometer combined with partial least squares (PLS) regression and wavelength optimization methods were used to establish a predictive model for the quantitative determination of water content in fresh mulberry leaves, as well as crude protein and soluble sugar in dried mulberry leaves. For the water content in fresh mulberry leaves, the R-square of the calibration set (R-C(2)), R-square of the cross-validation set (R-CV(2)) and R-square of the prediction set (R-P(2)) are 0.93, 0.90 and 0.91, respectively, the corresponding root mean square error of calibration set (RMSEC), root mean square error of cross-validation set (RMSECV) and root mean square error of prediction set (RMSEP) are 0.96%, 1.13%, and 1.18%, respectively. The R-C(2), R-CV(2) and R-P(2) of the crude protein prediction model are 0.91, 0.83 and 0.92, respectively, and the corresponding RMSEC, RMSECV and RMSEP are 0.71%, 0.97% and 0.61%, respectively. The soluble sugar prediction model has, R-C(2) R-CV(2) and R-P(2) of 0.64, 0.51, and 0.71, respectively, and the corresponding RMSEC, RMSECV, and RMSEP are 2.33%, 2.73%, and 2.36%, respectively. Therefore, the use of handheld NIR spectrometers combined with wavelength optimization can fastly detect the water content in fresh mulberry leaves and crude protein in dried mulberry leaves. However, it is a slightly lower predictive performance for soluble sugar in mulberry leaves.

分类号：

  • 相关文献

[1]Isolation of flavonoids from mulberry (Morus alba L.) leaves with macroporous resins. Wang, Jun,Wu, Fu An,Zhao, Hui,Liu, Li,Wu, Qiu Sheng. 2008

[2]Metabolism, Transformation And Dynamic Changes O.f Alkaloids In Silkworm D uring Feeding Mulberry Leaves. Bai, Yongliang,Pan, Gang,Li, Li,Ouyang, Zhen,Su, Shulan,Zhang, Liwen,Qian, Dawei,Duan, Jinao. 2019

[3]Jasmonic acid treatment alleviates chilling injury in peach fruit by promoting sugar and ethylene metabolism. Yaoyao Zhao,Congcong Song,David A. Brummell,Shuning Qi,Qiong Lin,Yuquan Duan. 2021

[4]Noise Level Penalizing Robust Gaussian Process Regression For Nir Spectroscopy Quantitative Analysis. Liu, Cong,Liu, Cong,Deng, Lie,Li, Xiaofang,Li, Xiaofang,Yang, Simon X.,Xu, Lijuan. 2020

[5]Total Volatile Basic Nitrogen Content In Duck Meat Of Different Varieties Based On Calibration Maintenance And Transfer By Use Of A Near-Infrared Spectrometric Model. Qiao, L, Lu, B, Dong, J, Li, BQ, Zhao, BH, Tang, XY. 2020

[6]Feasibility study on the use of near-infrared spectroscopy for rapid and nondestructive determination of gossypol content in intact cottonseeds. Li Cheng,Su Bangsong,Zhao Tianlun,Li Cong,Chen Jinhong,Zhu Shuijin. 2021

[7]Identification Of Genetic Loci Associated W.ith Crude Protein And M ineral Concentrations In Alfalfa (Medicago Sativa) Using Association Mapping. Jia, CJ, Wu, XM, Chen, M, Wang, YQ, Liu, XQ, Gong, P, Xu, QF, Wang, XM, Gao, HW, Wang, Z. 2017

[8]In vitro Study of Urtica cannabina and Leymus chinensis on Rumen Microbial Fermentation and Gas Production. Zhang Z., Wang S., Qi R., Shahzad K., Shi L., Zhang X., Wang M.. 2022

[9]Energy Requirement for Growing Mink Fed on Diets of Different Energy Levels. Yang, Ying,Zhang, Tietao,Rong, Min,Xu, JiaPing,Xing, Xiumei. 2021

[10]Comparative study on chemical components of Cervus nippon and Cervus elaphus based on principal component analysis and discriminant analysis [基于主成分分析和判别分析对花鹿茸和马鹿茸9类化学成分对比研究]. Liu S.-X.,Gong R.-Z.,Wang Z.-S.,Zhang L.,Liu C.,Lu Y.-S.,Sun Y.-S.. 2021

[11]Influence Of Water Content On T.he Inactivation Of P. D igitatum Spores Using An Air-Water Plasma Jet. Hu, Huimin,Liu, Kun,Zheng, Zhenfeng,Han, Leng,Zhu, Weidong,Hu, Youyi,Zhu, Weidong. 2018

[12]Effect Of Cadmium Stress On G.rowth And Electrical Impedance S pectroscopy Parameters Of Cotinus Coggygria Roots. Gong, Ruijuan,Di, Bao,Tian, Yaran,Zhang, Gang,Xiang, Diying. 2018

[13]Spatial patterns and driving factors of aboveground and belowground biomass over the eastern Eurasian steppe. Ding L., Li Z., Shen B., Wang X., Xu D., Yan R., Yan Y., Xin X., Xiao J., Li M., Wang P.. 2022

[14]Rapid and real-time detection of moisture in black tea during withering using micro-near-infrared spectroscopy. Shen S., Hua J., Zhu H., Yang Y., Deng Y., Li J., Yuan H., Wang J., Zhu J., Jiang Y.. 2022

[15]Interference of CsGPA1, the α-submit of G protein, reduces drought tolerance in cucumber seedlings. Liu Yumei,Du Qinghua,Bai Longqiang,Sun Mintao,Li Yansu,He Chaoxing,Wang Jun,Yu Xianchang,Yan Yan. 2021

[16]Effect of soil water content threshold on kiwifruit quality at different growth stages with drip irrigation in the humid area of Southern China. He Z., Lu X., Cui N., Jiang S., Zheng S., Chen F., Qiu R., Liu C., Fan J., Wang Y., Jin X.. 2022

作者其他论文 更多>>