亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Tracing anti‐osteoporosis components from raw and salt‐processed semen of Cuscuta chinensis by employing a biochemometrics strategy that integrates ultrasonic‐assisted extraction, quantitation, efficacy assessment in zebrafish, and grey relationship analysis

色谱法 偏最小二乘回归 重复性 萃取(化学) 化学 生物 数学 统计
作者
Yi Tao,Lin Chen,Meiling Pan,Fei Zhu,Jizhong Yan
出处
期刊:Journal of Separation Science [Wiley]
卷期号:44 (17): 3229-3236 被引量:5
标识
DOI:10.1002/jssc.202100272
摘要

Semen of Cuscuta chinensis has been reported to have an anti-osteoporosis effect, however, the components which account for the anti-osteoporosis effect have not been clarified. In this work we propose a biochemometrics strategy that integrates quantitation, anti-osteoporosis evaluation in zebrafish, and grey relationship analysis for the identification of anti-osteoporosis components from the semen of Cuscuta chinensis. In the beginning, a precise and accurate liquid chromatography-tandem mass spectrometry method was established for simultaneous quantitation of seven major components in crude and salt-processed Cuscuta chinensis. The mode of multiple reaction monitoring was used. Chloramphenicol was selected as the internal standard. The method showed good linearity and repeatability. The recovery rates of each component ranged from 95.4 to 103.9%. The precisions of intra-day and inter-day were all within 5.0%. The method was then applied for quantitation of the seven major components in 11 batches of crude and salt-processed Cuscuta chinensis. Subsequently, the anti-osteoporosis effects of crude and salt-processed Cuscuta chinensis were evaluated in zebrafish. Principle component analysis, grey relationship analysis, and partial least squares regression were applied for deciphering the relationship between the contents of seven major components and the anti-osteoporosis effects. Hyperin, p-hydroxycinnamic acid, and astragalin were found to be the major anti-osteoporosis components.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
FashionBoy应助科研通管家采纳,获得10
3秒前
Akim应助科研通管家采纳,获得10
3秒前
英俊的铭应助科研通管家采纳,获得10
3秒前
科研通AI6.2应助神勇善斓采纳,获得10
10秒前
20秒前
20秒前
神勇善斓发布了新的文献求助10
24秒前
gjww发布了新的文献求助10
25秒前
66610完成签到 ,获得积分10
25秒前
28秒前
29秒前
34秒前
充电宝应助111采纳,获得10
36秒前
香蕉觅云应助gjww采纳,获得10
37秒前
38秒前
美味蟹黄堡完成签到,获得积分10
45秒前
zhangnan完成签到 ,获得积分10
48秒前
52秒前
淡淡的凌丝完成签到,获得积分10
55秒前
58秒前
scup发布了新的文献求助10
58秒前
1分钟前
科研通AI2S应助淡淡的凌丝采纳,获得10
1分钟前
1分钟前
草原小肥羊完成签到,获得积分10
1分钟前
NattyPoe发布了新的文献求助30
1分钟前
1分钟前
1分钟前
yancisme发布了新的文献求助10
1分钟前
香蕉觅云应助科研通管家采纳,获得30
2分钟前
2分钟前
111发布了新的文献求助10
2分钟前
2分钟前
gjww发布了新的文献求助10
2分钟前
夜黎完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
清爽的人龙完成签到 ,获得积分10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Introducing the Learning Sciences 600
Resiliency Scale for Adolescents--Chinese Version 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7323419
求助须知:如何正确求助?哪些是违规求助? 8938800
关于积分的说明 18951906
捐赠科研通 6980739
什么是DOI,文献DOI怎么找? 3215240
关于科研通互助平台的介绍 2382675
邀请新用户注册赠送积分活动 2194516