Efficient HPLC Separation on a Core-C30 Column with MS2 Characterization of Isomers, Derivatives and Unusual Carotenoids from Tomato Products

化学 色谱法 检出限 类胡萝卜素 番茄红素 叶黄素 高效液相色谱法 分辨率(逻辑) 洗脱 质谱法 分析化学(期刊) 食品科学 人工智能 计算机科学
作者
Hussein G. Daood,Szilvia Ráth,Gábor Palotás,Gábor Halász,Kamirán Áron Hamow,Lájos Helyes
出处
期刊:Journal of Chromatographic Science [Oxford University Press]
卷期号:60 (4): 336-347 被引量:3
标识
DOI:10.1093/chromsci/bmab085
摘要

An efficient and rapid liquid chromatographic method was developed for the separation of carotenoids and their geometrical isomers in tomato products using a core C30 column of 2.6 μm particles with gradient elution of tert-butyl-methyl-ether in 2% water in methanol. Excellent separation of the major carotenoids such as lycopene, β-carotene and lutein as well as their geometrical isomers and oxygen-containing derivatives with resolution factors ranging between 0.78 and 4.0 and selectivity of 1.01-1.63 was achieved. Validation of the developed method met the acceptance criteria concerning linearity, recovery, precision and limit of detection and quantification. Calibrations were linear with correlation coefficient (R2) values between 0.9966 and 0.9999. The limit of detection and quantification values were found to be 0.008 and 0.017 and 0.029 and 0.056 μg/mL, respectively. Recovery of 94.3-99.9%, intraday precision of 1.81-4.45% and interday precision of 3.13-6.86% were obtained. The hyphenation of liquid chromatography with diode-array and mass spectrometry was helpful in the identification of the separated carotenoids particularly the unusual di-hydroxy cyclolycopene adduct and di-methoxy lycopene determined for the first time in tomato products. Commercially available kinds of tomato juice and ketchup were evaluated based on their carotenoid content.

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
zmq完成签到,获得积分10
1秒前
15发布了新的文献求助10
5秒前
ding应助Yule采纳,获得10
6秒前
耍酷水杯发布了新的文献求助10
7秒前
renias完成签到,获得积分10
8秒前
9秒前
cjx完成签到,获得积分10
9秒前
Zhangtao完成签到,获得积分10
9秒前
lizhi完成签到,获得积分10
10秒前
玄金道人完成签到 ,获得积分10
11秒前
白白发布了新的文献求助10
13秒前
科目三应助yu采纳,获得10
14秒前
try完成签到,获得积分10
14秒前
传奇3应助dzll采纳,获得10
16秒前
ccob完成签到,获得积分10
17秒前
17秒前
17秒前
18秒前
18秒前
阿洁发布了新的文献求助10
18秒前
Flz发布了新的文献求助10
21秒前
chuanyin发布了新的文献求助10
23秒前
Jeff_Lin发布了新的文献求助10
25秒前
小二郎应助大小怪将军采纳,获得10
25秒前
26秒前
阿强发布了新的文献求助10
26秒前
28秒前
try关注了科研通微信公众号
29秒前
寒冷山雁完成签到,获得积分10
33秒前
Pooh完成签到 ,获得积分10
33秒前
小蘑菇应助只要两毛九采纳,获得10
34秒前
香蕉觅云应助Lily采纳,获得10
35秒前
36秒前
36秒前
1000006331发布了新的文献求助10
37秒前
废废废完成签到,获得积分10
37秒前
37秒前
38秒前
酷酷依秋发布了新的文献求助10
40秒前
41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
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
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 6357427
求助须知:如何正确求助?哪些是违规求助? 8172109
关于积分的说明 17206892
捐赠科研通 5413117
什么是DOI,文献DOI怎么找? 2864908
邀请新用户注册赠送积分活动 1842353
关于科研通互助平台的介绍 1690526