Analytical Method for Quantifying Monoterpenoids (p-Cymene and Myrcene) in Nanoemulsions Using High-Performance Liquid Chromatography

色谱法 化学 生物利用度 溶解度 米尔辛 梯度洗脱 高效液相色谱法 相关系数 乙腈 计算机科学 机器学习 药理学 有机化学 精油 柠檬烯 医学
作者
Jonatas Lobato Duarte,Leonardo Delello Di Filippo,Alberto Gomes Tavares,Marlus Chorilli
出处
期刊:Journal of AOAC International [Oxford University Press]
卷期号:107 (3): 506-511 被引量:1
标识
DOI:10.1093/jaoacint/qsae012
摘要

Abstract Background Myrcene and cymene, aromatic monoterpenes found in plants and essential oils, possess distinctive aromatic qualities. However, their volatility and limited solubility pose challenges in precise handling and formulation. Meanwhile, nanoemulsions emerge as promising drug delivery systems, improving the bioavailability and stability of these active ingredients. Objective This article aimed to develop an HPLC method for the quantification of two monoterpenoids, p-cymene and myrcene, in nanoemulsions. Method The method used a Phenomenex® Synergi™ Fusion-RP column (150 mm × 4.6 mm id, 4 μm particle size) on an HPLC system with isocratic elution. The mobile phase was composed of acetonitrile and water (60:40, v/v) and was validated in terms of specificity, linearity, accuracy, precision, robustness, and selectivity. Results The method provided accurate and precise results with a correlation coefficient of 0.999 and RSD values of less than 2%. The method can be used for quality control of nanoemulsions containing these monoterpenoids and as a reference for future studies on their efficacy and stability. Conclusions The study demonstrates the feasibility of using HPLC for the quantification of monoterpenoids in nanoemulsions and its potential as a quality control tool for nanoemulsion-based drug delivery systems. Highlights The method’s accuracy, precision, and reliability, as evidenced by high correlation coefficients and low RSD values, underscore its suitability for ensuring the consistent formulation of these monoterpenoid-containing nanoemulsions, while also serving as a reference point for future research endeavors in this field.

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
科研通AI2S应助Besty采纳,获得10
刚刚
煎鱼发布了新的文献求助30
刚刚
1秒前
默默的骁发布了新的文献求助10
1秒前
1秒前
2秒前
李浩发布了新的文献求助10
3秒前
南拥夏栀完成签到,获得积分20
3秒前
Misty发布了新的文献求助10
5秒前
vincen91完成签到,获得积分10
6秒前
ww发布了新的文献求助10
7秒前
8秒前
goldNAN发布了新的文献求助10
9秒前
10秒前
12秒前
凉翊完成签到,获得积分10
12秒前
12秒前
粉色娇嫩发布了新的文献求助10
13秒前
SciGPT应助Erxat采纳,获得10
13秒前
cheezburger完成签到,获得积分10
14秒前
小欢完成签到,获得积分10
15秒前
15秒前
Jiancui发布了新的文献求助10
17秒前
haha发布了新的文献求助10
19秒前
领导范儿应助神勇的戒指采纳,获得10
21秒前
22秒前
超级小刺猬完成签到 ,获得积分10
23秒前
23秒前
zbearupz完成签到,获得积分10
24秒前
阳光发布了新的文献求助10
26秒前
28秒前
31秒前
丘比特应助Misty采纳,获得10
31秒前
Alandia完成签到 ,获得积分10
31秒前
HMONEY完成签到,获得积分10
32秒前
000发布了新的文献求助10
32秒前
34秒前
痞子毛发布了新的文献求助50
34秒前
37秒前
科研通AI5应助fagfagsf采纳,获得10
40秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Computational Atomic Physics for Kilonova Ejecta and Astrophysical Plasmas 500
Technologies supporting mass customization of apparel: A pilot project 450
Mixing the elements of mass customisation 360
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3781926
求助须知:如何正确求助?哪些是违规求助? 3327450
关于积分的说明 10231409
捐赠科研通 3042382
什么是DOI,文献DOI怎么找? 1669975
邀请新用户注册赠送积分活动 799446
科研通“疑难数据库(出版商)”最低求助积分说明 758822