Qualitative and quantitative analyses of aconite alkaloids in Aconiti kusnezoffii Radix, and NO inhibitory activity evaluation of the alkaloid extracts

乌头碱 乌头 生物碱 化学 电喷雾电离 色谱法 传统医学 根(腹足类) 质谱法 立体化学 生物 医学 植物
作者
Qinyu Li,Bo Wu,Xue Gong,Wen-Shuo Wang,Jiaxin Zhu,Chunhong Zhang,Na Zhang
出处
期刊:Food Science and Technology [Sociedade Brasileira de Ciência e Tecnologia de Alimentos]
被引量:1
标识
DOI:10.1590/fst.28521
摘要

Aconiti kusnezoffii Radix (Caowu), a traditional Chinese medicine and Mongolian medicine, has been commonly used owing to its analgesic and anti-inflammatory effects. Here, we performed a qualitative analysis of aconite alkaloids (AAs) in raw and processed Aconiti kusnezoffii Radix by ultra-high-performance liquid chromatography (HPLC) electrospray ionization-tandem mass spectrometry. Furthermore, we quantified benzoylaconine, benzoylmesaconine, benzoylhypaconine, aconitine, mesaconitine, and hypaconitine in raw and processed Aconiti kusnezoffii Radix using a HPLC system coupled with a diode array detector. The analysis of AA fragmentation patterns in positive electrospray ionization mode revealed 155 AAs, including 6 with unambiguous identities, 109 with putative assignments, and 40 unknown compounds. Additionally, lipopolysaccharide-treated RAW264.7 macrophages were used to evaluate the anti-inflammatory properties of the alkaloid extracts of Aconiti kusnezoffii Radix. Importantly, alkaloid extracts of Aconiti kusnezoffii Radix at three different concentrations exhibited protective effect against lipopolysaccharide-induced inflammation. Thus, the proposed method can be used not only for the qualitative and quantitative analyses of Aconiti kusnezoffii Radix, but also for evaluating other Aconitum spp. Our study lays a foundation for the clinical application of poisonous Aconitum.

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
刚刚
shine发布了新的文献求助10
刚刚
刚刚
Lina发布了新的文献求助10
1秒前
刘洋完成签到,获得积分10
1秒前
karaha发布了新的文献求助10
1秒前
2秒前
2秒前
不摇碧莲完成签到,获得积分10
2秒前
orixero应助moshang采纳,获得10
3秒前
3秒前
4秒前
4秒前
xcuwlj完成签到,获得积分10
4秒前
WBLJ完成签到,获得积分10
4秒前
4秒前
英姑应助ben采纳,获得10
5秒前
5秒前
5秒前
以筱完成签到,获得积分10
6秒前
D_t发布了新的文献求助20
6秒前
6秒前
6秒前
6秒前
6秒前
7秒前
7秒前
czy发布了新的文献求助10
8秒前
8秒前
8秒前
隐形盼海发布了新的文献求助10
9秒前
9秒前
小蚂蚁发布了新的文献求助10
10秒前
CC13145921发布了新的文献求助10
10秒前
11秒前
科研通AI6.4应助颜小鱼采纳,获得10
11秒前
雨点发布了新的文献求助10
11秒前
11秒前
11秒前
11秒前
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6369499
求助须知:如何正确求助?哪些是违规求助? 8183594
关于积分的说明 17262971
捐赠科研通 5424235
什么是DOI,文献DOI怎么找? 2869748
邀请新用户注册赠送积分活动 1846831
关于科研通互助平台的介绍 1693738