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的填写文献信息,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!

A Simple, Fast, and Green Oil Sample Preparation Method for Determination of Cannabidioloic Acid and Cannabidiol by HPLC-DAD

大麻酚 色谱法 萃取(化学) 重复性 样品制备 高效液相色谱法 化学 环境友好型 大麻 医学 生态学 生物 精神科
作者
K. Madej,Gabriela Kózka,M. Winiarski,Wojciech Piekoszewski
出处
期刊:Separations [MDPI AG]
卷期号:7 (4): 60-60 被引量:13
标识
DOI:10.3390/separations7040060
摘要

Currently, the medical use of food supplements containing Cannabis sativa has attracted the interest of consumers, as well as the medical and scientific community. With the increasing consumption of these products, there is also a risk of their abuse or discrepancy between the actual and declared contents of active substances by the manufacturer in these products. Thus, the development and elaboration of analytical procedures for determination of appropriate phytocannabinoids seems to be important. This work focuses on the development of a simple, fast and environmentally friendly liquid-liquid extraction method combined with fat freezing from an oil sample to isolate two phytocannabinoids: cannabidiol (CBD) and cannabidiolic acid (CBDA). The extraction method was optimized considering efficacy and repeatability of extraction, as well as minimalizing use of organic reagents and sample amount. Under the optimized conditions, extraction recovery for CBD was 97.3–109% and for CBDA was 69.1–69.5% with precision (RSD, %) 5.0–8.4 and 7.1–10.6, respectively. The evaluated main analytical parameters of the developed high pressure liquid chromatography with diode array detector (HPLC-DAD) method for both studied cannabinoids are satisfactory. The usability of the developed method was checked by analysis of real samples of a food supplement–hemp oil enriched with CBD.
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
1秒前
科研通AI2S应助嘟嘟嘟嘟采纳,获得10
5秒前
朴素的如豹完成签到,获得积分10
10秒前
机智大白菜真实的钥匙完成签到,获得积分10
11秒前
NexusExplorer应助李响采纳,获得10
12秒前
bkagyin应助mmyhn采纳,获得10
13秒前
longh完成签到,获得积分10
13秒前
w_tiger完成签到 ,获得积分10
20秒前
飞快的孱完成签到,获得积分10
24秒前
24秒前
仙女完成签到 ,获得积分10
35秒前
潇潇雨歇完成签到,获得积分10
36秒前
汉堡包应助meikoo采纳,获得10
42秒前
科研通AI5应助科研通管家采纳,获得10
42秒前
深情安青应助科研通管家采纳,获得10
42秒前
目目应助科研通管家采纳,获得10
42秒前
Blank发布了新的文献求助10
57秒前
59秒前
Tender完成签到,获得积分10
1分钟前
kk发布了新的文献求助10
1分钟前
可爱的函函应助Blank采纳,获得10
1分钟前
lulu8809完成签到,获得积分10
1分钟前
1分钟前
今后应助木南采纳,获得10
1分钟前
meikoo发布了新的文献求助10
1分钟前
1分钟前
1分钟前
韩雨桐发布了新的文献求助10
1分钟前
shl发布了新的文献求助10
1分钟前
1分钟前
CodeCraft应助shl采纳,获得30
1分钟前
1分钟前
1分钟前
FashionBoy应助yqf采纳,获得10
1分钟前
1分钟前
1分钟前
阿溪发布了新的文献求助10
1分钟前
yqf发布了新的文献求助10
1分钟前
1分钟前
今后应助清雨采纳,获得10
1分钟前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 800
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3555687
求助须知:如何正确求助?哪些是违规求助? 3131341
关于积分的说明 9390713
捐赠科研通 2831030
什么是DOI,文献DOI怎么找? 1556295
邀请新用户注册赠送积分活动 726483
科研通“疑难数据库(出版商)”最低求助积分说明 715803