收藏切换
Quantitative Analysis of Sugar Components in Huaidihuang(Rehmannia glutinosa)Based on Mid-Infrared Spectroscopy Technology
收藏切换
Kun CHEN1, 2, Wei LIU1, Mengjiao SONG3, Zhining LI3, Taotao ZHANG3, Chengming DONG4, Yue WEI5
Chinese Archives of Traditional Chinese Medicine | 2025, 43(5) : 196 - 201
Less
收藏切换
Chinese Archives of Traditional Chinese Medicine | 2025, 43(5): 196-201
• Target on National Project •
Quantitative Analysis of Sugar Components in Huaidihuang(Rehmannia glutinosa)Based on Mid-Infrared Spectroscopy Technology
Full
Kun CHEN1, 2, Wei LIU1, Mengjiao SONG3, Zhining LI3, Taotao ZHANG3, Chengming DONG4, Yue WEI5
Affiliations
  • 1.Zhengzhou University,Zhengzhou 450001,Henan,China
  • 2.The First Affiliated Hospital of Zhengzhou University,Zhengzhou 450000,Henan,China
  • 3.Henan Natural Product Biotechnology CO.,LTD,Zhengzhou 450002,Henan,China
  • 4.Henan University of Chinese Medicine,Zhengzhou 450046,Henan,China
  • 5.Zhongyuan Meigu Microspectrum Technology Service(Henan)CO.,LTD,Luoyang 471000,Henan,China
Published: 2025-05-10 doi: 10.13193/j.issn.1673-7717.2025.05.036
Outline
收藏切换
Objective

The quantitative models of fructose,glucose,sucrose,raffinose and polysaccharide in Huaidihuang(Rehmannia glutinosa)were established based on mid-infrared spectroscopy technology.

Methods

The fructose,glucose,sucrose and raffinose in 50 batches of genuine Huaidihuang(Rehmannia glutinosa)were determined by high performance liquid chromatography(HPLC),the polysaccharide was determined by ultraviolet-visible spectroscopy(UV-Vis),and the infrared spectra of Huaidihuang(Rehmannia glutinosa)were collected by mid-infrared spectrometer. HPLCmethod,UV-Vis method and mid-infrared spectroscopy technology were combined to establish a determination model for the sugar component contents of in Huaidihuang(Rehmannia glutinosa)using TQ analysis software.

Result

The model of principal component regression(PCR)+mutiplicative signal correction(MSC)+first derivative(1st Der)+Savitzky-Golay fler(SG)was the best for fructose,the model of partial least squares(PLS)+CONSTANT+1st Der+SG best for glucose,the model of stepwise multiple linear regression(SMLR)+CONSTANT+second derivative(2nd Der)+SG best for sucrose,the model of SMLR+standard normal variate(SNV)+2nd Der+Noris derivative fliler(ND)best for raffinose and the model of PLS+SNV+2nd Der+ND best for polysaccharide. The correlation coefficients were 0.786 2,0.927 8,0.838 8,0.782 4 and 0.964 8,respectively,with an average absolute deviation of-0.05%,0.04%,0.07%,-0.02% and-0.02%,respectively. It is verified that the prediction effect of the model is good.

Conclusion

The quantitative model of sugar components in Huaidihuang(Rehmannia glutinosa)established by mid-infrared spectroscopy is stable and objective,which can provide a basis for rapid evaluation of sugar components in Huaidihuang(Rehmannia glutinosa).

Huaidihuang(Rehmannia glutinosa)  /  quantitative model  /  sugar component  /  content
陈坤, 刘伟, 宋梦娇, 李智宁, 张桃桃, 董诚明, 魏悦. 基于中红外光谱技术对怀地黄中糖类成分的定量分析. 中华中医药学刊, 2025 , 43 (5) : 196 -201 . DOI: 10.13193/j.issn.1673-7717.2025.05.036
Kun CHEN, Wei LIU, Mengjiao SONG, Zhining LI, Taotao ZHANG, Chengming DONG, Yue WEI. Quantitative Analysis of Sugar Components in Huaidihuang(Rehmannia glutinosa)Based on Mid-Infrared Spectroscopy Technology[J]. Chinese Archives of Traditional Chinese Medicine, 2025 , 43 (5) : 196 -201 . DOI: 10.13193/j.issn.1673-7717.2025.05.036
Year 2025 volume 43 Issue 5
38
16
Cite this Article
BibTeX
Article Info
doi: 10.13193/j.issn.1673-7717.2025.05.036
  • Online Date:2026-10-30
  • Published:2025-05-10
Article Data
Affiliations
History
Funding
Affiliations
    1.Zhengzhou University,Zhengzhou 450001,Henan,China
    2.The First Affiliated Hospital of Zhengzhou University,Zhengzhou 450000,Henan,China
    3.Henan Natural Product Biotechnology CO.,LTD,Zhengzhou 450002,Henan,China
    4.Henan University of Chinese Medicine,Zhengzhou 450046,Henan,China
    5.Zhongyuan Meigu Microspectrum Technology Service(Henan)CO.,LTD,Luoyang 471000,Henan,China
References
Share
https://castjournals.cast.org.cn/joweb/zhzyyxk/EN/10.13193/j.issn.1673-7717.2025.05.036
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT