摘要
研究超声辅助提取玛咖多糖及检测过程中提取液的多糖含量,同时应用近红外原位实时采集提取过程的光谱信息,通过光谱信息与多糖含量化学值之间的关系建立数学模型,从而达到实时监测提取过程中玛咖多糖的目的。研究结果表明,超声提取60 min内,多糖含量不断增加,随后增加缓慢并出现波动增长的趋势。对采集的原始光谱预处理,SG是最为有效地预处理方法,Rc和Rp最高,RMSECV和RMSEP数值最小。采用PLS、iPLS和si-PLS方法建立模型后,si-PLS所建立的模型最佳,联合4个最优的波长区间为:1 258.591~1 316.735 nm,2 027.121~2 084.226 nm,2 153.93~2 210.888 nm和2 337.239~2 387.696 nm,模型的Rc、Rp分别为0.9621,0.9667;RMSECV、RMSEP分别为0.0116,0.0137。结论:采用近红外光谱可较好的预测超声提取玛咖多糖过程中提取液中的多糖含量,实现提取过程中的原位监测。
In this paper,the changes of polysaccharide content in the ultrasonic extraction process were studied.At the same time,the spectral information of the extraction process was collected by near-infrared in situ real-time monitoring technique.The mathematical model was established by the relationship between spectral information and chemical value.The results showed that the content of polysaccharide increased in the process of ultrasonic extraction and then fluctuated in 60 min.After pretreatment of the acquired primitive spectra,SG was the most efficient pretreatment method with the highest Rc,Rp value and the least RMSECV,RMSEP in all pretreatments.After modeling with PLS,iPLS and si-PLS methods,the model established by si-PLS method is the best,which combined four optimal wavelength ranges are 1 258.591-1 316.735 nm,2 027.121-2 084.226 nm,2 153.93-2 210.888 nm and 2 337.239-2 387.696 nm.Under the optimum model,the Rc,Rp were 0.9621,0.9667 and RMSECV,RMSEP were 0.0116,0.0137,respectively.In conclusion:the near-infrared spectroscopy can be used to predict the content of polysaccharide in the ultrasonic extraction of maca polysaccharide and the in-situ monitoring during the extraction process is realized.
作者
孔娜
杨雪
王禹程
黄姗芬
李云亮
马海乐
Kong Na;Yang Xue;Wang Yucheng;Huang Shanfen;Li Yunliang;Ma Haile(School of Food and Biological Engineering,Jiangsu University,Zhenjiang 212013,Jiangsu)
出处
《中国食品学报》
EI
CAS
CSCD
北大核心
2019年第10期235-242,共8页
Journal of Chinese Institute Of Food Science and Technology
基金
国家863计划项目(2013AA102203)
国家自然科学基金项目(31471698)
关键词
玛咖
多糖
近红外
原位监测
maca
polysaccharide
near infrared
in-situ monitoring
