Simultaneous determination of free biliverdin and free bilirubin in serum: A comprehensive LC-MS approach

胆绿素 化学 胆红素 分析物 胆绿素还原酶 色谱法 溶解度 血红素 生物化学 有机化学 血红素加氧酶 医学 胃肠病学
作者
Alen Albreht,Mitja Martelanc,Lovro Žiberna
出处
期刊:Analytica Chimica Acta [Elsevier BV]
卷期号:1287: 342073-342073 被引量:12
标识
DOI:10.1016/j.aca.2023.342073
摘要

Prognosis, diagnosis, and treatment of several diseases strongly rely on the sensitive, selective, and accurate determination of specific biomarkers in relevant biological samples. Free biliverdin and free bilirubin represent important new biomarkers of oxidative stress, however, the lack of suitable analytical methods for their determination has hindered progress in biomedical and clinical research. Here, we introduce a first comprehensive approach for robust and simultaneous determination of these bilins in serum using liquid chromatography – mass spectrometry (LC-MS). The developed analytical method exhibits linearity for both analytes within the concentration range of 0.5–100 nM, with limits of detection and quantitation determined at 0.1 nM and 0.5 nM, respectively. Moreover, several analytical pitfalls related to the intrinsic molecular structures of free bilirubin and free biliverdin and their trace concentration levels in biological samples are discussed here in detail for the first time. We have shown that the solubility, chemical stability, and affinity of these bilins to various materials strongly depend on the solvent, pH, and addition of stabilizing and chelating agents. Finally, the validated LC-MS method was successfully applied to the analysis of both bilins in fetus bovine serums, yielding higher free bilirubin/biliverdin ratios compared with previously reported values for human serum. Failure to recognize and address the challenges presented here often leads to substantial analytical errors and consequently biased interpretation of the obtained results. This pertains not only to LC-MS, but also to many other analytical platforms due to the compound-derived sources of error.
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
华仔应助浪子采纳,获得10
刚刚
木木木发布了新的文献求助10
1秒前
XQQDD应助houzi采纳,获得40
1秒前
DY发布了新的文献求助10
2秒前
Niko发布了新的文献求助10
3秒前
在水一方应助yuhanz采纳,获得10
4秒前
蒲公英完成签到 ,获得积分10
5秒前
CodeCraft应助常璐旸采纳,获得10
5秒前
Owen应助hehe采纳,获得10
6秒前
6秒前
shen5690关注了科研通微信公众号
7秒前
hyw完成签到,获得积分10
9秒前
9秒前
10秒前
11秒前
迷路月光完成签到,获得积分10
12秒前
方方完成签到,获得积分10
13秒前
芣苢发布了新的文献求助10
14秒前
我是老大应助LinWu采纳,获得10
14秒前
July发布了新的文献求助10
14秒前
吕吕发布了新的文献求助10
17秒前
17秒前
19秒前
maoyi发布了新的文献求助10
22秒前
炙热的小海豚完成签到,获得积分10
23秒前
23秒前
lili完成签到,获得积分10
23秒前
24秒前
5762完成签到,获得积分10
24秒前
24秒前
25秒前
lili发布了新的文献求助10
26秒前
26秒前
Zrn完成签到 ,获得积分10
26秒前
26秒前
July完成签到,获得积分10
28秒前
不安莺完成签到,获得积分10
28秒前
LinWu发布了新的文献求助10
29秒前
JamesPei应助幽默荧采纳,获得10
29秒前
香蕉觅云应助banwenmi采纳,获得10
30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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
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 6443669
求助须知:如何正确求助?哪些是违规求助? 8257473
关于积分的说明 17587094
捐赠科研通 5502370
什么是DOI,文献DOI怎么找? 2900945
邀请新用户注册赠送积分活动 1877987
关于科研通互助平台的介绍 1717534