Analysis of Chemical Changes during Maturation of Amomum tsao-ko Based on GC-MS, FT-NIR, and FT-MIR
文献类型: 外文期刊
作者: He, Gang 1 ; Yang, Shao-bing 1 ; Wang, Yuan-zhong 1 ;
作者机构: 1.Yunnan Acad Agr Sci, Med Plants Res Inst, Kunming 650200, Peoples R China
2.Yunnan Agr Univ, Coll Food Sci & Technol, Kunming 650201, Peoples R China
期刊名称:ACS OMEGA ( 影响因子:3.7; 五年影响因子:4.0 )
ISSN: 2470-1343
年卷期: 2024 年
页码:
收录情况: SCI
摘要: Amomum tsao-ko Crevost et Lemaire (A. tsao-ko) is widely grown for its high nutritional and economic value. However, the lack of a scientific harvesting and quality control system has resulted in an uneven product quality. The present study was based on A. tsao-ko from four maturity stages from the same growing area, and its chemical trends and quality were evaluated using a combination of agronomic trait analysis, spectroscopy, chromatography, chemometrics, and network pharmacology. The results showed that A. tsao-ko was phenotypically dominant in October. Spectroscopy showed that the absorbance intensity at different maturity stages showed a trend of October > September > August > July. Further chemical differences between A. tsao-ko at different stages of maturity were found by chromatography to originate mainly from alcohol, aromatic, acids, esters, hydrocarbons, ketone, heterocyclic, and aldehydes. The network pharmacology results showed that the active ingredient for the treatment of obesity was present in A. tsao-ko and had high levels in A. tsao-ko in September and October. The results of this study provide a new idea for the comprehensive evaluation of A. tsao-ko and a theoretical basis for the harvesting and resource utilization of A. tsao-ko.
- 相关文献
作者其他论文 更多>>
-
Based on metabolomics and fourier transforms near infrared spectroscopy characterization of Lanxangia tsaoko chemical profile differences among fruit types and development of rapid identification and nutrient prediction models
作者:Fu, Deng-Ke;Yang, Wei-Ze;Yang, Mei-Quan;Yang, Tian-Mei;Wang, Yuan-Zhong;Zhang, Jin-Yu;Fu, Deng-Ke
关键词:Lanxangia tsao-ko; Phenotype; Metabolic differences; 2DCOS; ResNet; PLSR
-
FT-NIR Spectra of Different Dimensions Combined with Machine Learning and Image Recognition for Origin Identification: An Example of Panax notoginseng
作者:Zuo, Zhi-Tian;Yao, Zeng-Yu;Zuo, Zhi-Tian;Wang, Yuan-Zhong
关键词:
-
Application of ATR-FTIR Spectrum Combined With Ensemble Learning and Deep Learning for Identification of Amomum tsao-ko at Different Drying Temperatures
作者:He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang
关键词:Amomum tsao-ko; deep learning; drying temperatures; ensemble learning; machine learning
-
Spatial and temporal distribution characteristics of Paris polyphylla var. yunnanensis and the prediction of steroidal saponins content
作者:Zhong, Chen;Li, Li;Zhong, Chen;Wang, Yuan-Zhong
关键词:Paris polyphylla var. yunnanensis; Habitat suitability; FT-IR spectroscopy; Chemometrics; Steroidal saponins
-
A rapid method for identification of Lanxangia tsaoko origin and fruit shape: FT-NIR combined with chemometrics and image recognition
作者:He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang;Yang, Shao-bing;Wang, Yuan-zhong
关键词:chemometrics; classification; Fourier transform-near infrared spectroscopy; image recognition; Lanxangia tsaoko
-
FT-IR spectroscopy coupled with HPLC for qualitative and quantitative analysis of different parts of Gentiana rigescens Franch
作者:He, Gang;Zhu, Xin-yan;Wang, Yuan-zhong;He, Gang;Shen, Tao
关键词:Gentiana rigescens; Total secoiridoids; FT-IR; HPLC; Content prediction
-
Suitable habitat prediction and identification of origin of Lanxangia tsao-ko
作者:He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang
关键词:Medicinal plant; FT-NIR spectroscopy; Machine learning; Suitable habitats; Origin identification



