文献检索

查找使用阿拉丁产品的科研文献

检索与阿拉丁产品相关的同行评审论文、DOI、PubMed 编号、期刊、作者、CAS 号及研究领域。

科研影响力快照

与阿拉丁产品相关的已发表科研成果

在搜索之前,这些指标可帮助访客快速了解产品关联科研的规模与质量。

346,364+ SCI 论文 与阿拉丁产品引用相关
2,295,288.15 总影响因子 匹配文献记录中影响因子的总和
81.20 最高期刊影响因子 匹配期刊中的最高 IF
6.63 平均期刊影响因子 匹配文献的平均 IF

参考指标 指标基于阿拉丁文献引用数据库及期刊影响因子记录。文献关联仅供科研参考,请以原始文献为准。

热门产品

视图 列表 网格

4 项

设置提升方向
青砖茶
PHYTOCHEMICAL ANALYSIS · 2022 ·Vol. 33 ·期 4 ·577-589 · IF 3.024

The determination of monosaccharide in different years Qingzhuan Dark Tea polysaccharide by liquid chromatography–mass spectrometry

Xiao-Lei Miao,Hui-Min Ma,Qin-Hao Ke,Shi-Yue Wang,Hong-Fu Zhou,Min Zheng

Aim To establish a fast, sensitive and accurate high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method for determining the monosaccharide content of Qingzhuan Dark Tea polysaccharides in different years (2 years, 5 years and 11 years). Methods The optimised chromatographic conditions were achieved on a C18 column (5.0 μm, 250 mm × 4.6 mm inner diameter). The mobile phase flow rate was 0.9 mL/min and the column temperature was set to 27°C. The aqueous phase A (5 mM aqueous ammonium acetate) and organic phase B (acetonitrile) were used to elute the target analyses isocratically (0–60 min: 18% B). The mass spectrometer detector was equipped with an electron spray ionisation (ESI)source, and multiple reaction monitoring (MRM) mode was used for the determination of 1-phenyl-3-methyl-5-pyrazolone (PMP) derived monosaccharides. Results We carried out a comprehensive methodological validation of PMP derived monosaccharides, including linearity, precision, stability and repeatability. Nine monosaccharides (rhamnose, mannose, ribose, glucose, galacturonic acid, xylose, galactose, fucose and arabinose) of Qingzhuan Dark Tea polysaccharides were identified, in which ribose and fucose were reported for the first time. The results showed the contents of these nine monosaccharides differed significantly among different years. Conclusions The validated method is reliable, accurate, repeatable and can be applied to quality assessment of these monosaccharides.

研究领域: 食品科学 · 分析化学 · 植物化学
✓ 已验证 DOI 高影响因子
查看原文 查看 PubMed
FOOD RESEARCH INTERNATIONAL · 2023 · IF 8.1

Revealing the chemical differences and their application in the storage year prediction of Qingzhuan tea by SWATH-MS based metabolomics analysis

Zhi-Quan Li,Xiao-Li Yin,Hui-Wen Gu,Dan Zou,Baomiao Ding,Zhenshun Li,Ying Chen,Wanjun Long,Haiyan Fu,Yuanbin She

It’s generally believed that the longer the storage, the better the quality of dark tea, but the chemical differences of Qingzhuan tea (QZT) with different storage years is still unclear. Herein, in this work, an untargeted metabolomic approach based on SWATH-MS was established to investigate the differential compounds of QZT with 0–9 years’ storage time. These QZT samples were roughly divided into two categories by principal component analysis (PCA). After orthogonal projections to latent structures discriminant analysis (OPLS-DA), 18 differential compounds were putatively identified as chemical markers for the storage year variation of QZT. Heatmap visualization showed that the contents of catechins, fatty acids, and some phenolic acids significantly reduced, flavonoid glycosides, triterpenoids, and 8-C N-ethyl-2-pyrrolidinone-substituted flavan-3-ols (EPSFs) increased with the increase of storage time. Furthermore, these chemical markers were verified by the peak areas corresponding to MS2 ions from SWATH-MS. Based on the extraction chromatographic peak areas of MS and MS2 ions, a duration time prediction model was built for QZT with correlation coefficient R 2 of 0.9080 and 0.9701, and RMSEP value of 0.85 and 1.24, respectively. This study reveals the chemical differences of QZT with different storage years and provides a theoretical basis for the quality evaluation of stored dark tea.

研究领域: 食品科学 · 分析化学 · 代谢组学 · 茶叶科学
✓ 已验证 产品关联 DOI PubMed 高影响因子
查看原文 查看 PubMed
FOOD CHEMISTRY · 2023 · IF 8.8

Monitoring the dynamic changes in aroma during the whole processing of Qingzhuan tea at an industrial scale: From fresh leaves to finished tea

Xin Fang,Wencan Xu,Guangxian Jiang,Mengyuan Sui,Jingyi Xiao,Yaoyao Ning,Rida Niaz,Dewen Wu,Xiaoguang Feng,Junhai Chen,Youyi Huang,Gaixiang Lei

Aroma is one of the most outstanding quality characteristics of Qingzhuan tea (QZT), but its formation is still unclear. Thus, the volatile organic compounds (VOCs) during the whole processing of QZT were investigated by headspace solid-phase microextraction/gas chromatography-mass spectrometry. Based on 144 identified VOCs, the results showed that de-enzyming, sun-drying, and piling fermentation were the key processes of QZT aroma formation. Furtherly, 42 differential VOCs (VIP > 1.0 and p  < 0.05) and 16 key VOCs (rOAV > 1.0 and/or ROAV > 1.0) were screened. Especially, sulcatone and β -ionone (rOAV > 100 and ROAV > 10) were considered the most important contributors to the aroma of QZT. The metabolisms of key VOCs were mainly involved in oxidative degradation of fatty acids, degradation of carotenoids, and methylation of gallic acid. This study could help to more comprehensively understand the aroma formation in QZT processing at an industrial scale.

CAS / MDL: 110-38-3
研究领域: 食品科学 · 植物学 · 代谢组学
✓ 已验证 产品关联 DOI PubMed 高影响因子
查看原文 查看 PubMed
FOOD CHEMISTRY · 2024 · IF 8.5

Discrimination and prediction of Qingzhuan tea storage year using quantitative chemical profile combined with multivariate analysis: Advantages of MRMHR based targeted quantification metabolomics

Zhi-Quan Li,Xiao-Li Yin,Hui-Wen Gu,Zhi-Xin Peng,Baomiao Ding,Zhenshun Li,Ying Chen,Wanjun Long,Haiyan Fu,Yuanbin She

The duration of storage significantly influences the quality and market value of Qingzhuan tea (QZT). Herein, a high-resolution multiple reaction monitoring (MRM HR ) quantitative method for markers of QZT storage year was developed. Quantitative data alongside multivariate analysis were employed to discriminate and predict the storage year of QZT. Furthermore, the content of the main biochemical ingredients, catechins and alkaloids, and free amino acids (FAA) were assessed for this purpose. The results show that targeted marker–based models exhibited superior discrimination and prediction performance among four datasets. The R 2 X cum , R 2 Y cum and Q 2 cum of orthogonal projection to latent structure–discriminant analysis discrimination model were close to 1. The correlation coefficient ( R 2 ) and the root mean square error of prediction of the QZT storage year prediction model were 0.9906 and 0.63, respectively. This study provides valuable insights into tea storage quality and highlights the potential application of targeted markers in food quality evaluation.

研究领域: 食品科学 · 分析化学 · 代谢组学
✓ 已验证 产品关联 DOI PubMed 高影响因子
查看原文 查看 PubMed
已复制

文献关联基于可获得的产品、CAS、DOI 及引用记录。收录不代表作者或出版方对阿拉丁产品的背书,请以原始文献为准。