Two-dimensional Co-based metal-organic framework nanosheets as an efficient electrochemical sensing platform for simultaneous determination of daunorubicin and idarubicin

柔红霉素 检出限 微分脉冲伏安法 材料科学 电极 去甲柔比星 计时安培法 循环伏安法 电化学 伏安法 纳米技术 化学 色谱法 化疗 医学 外科 完全缓解 物理化学
作者
Somayeh Tajik,Erfan Beiromi,Hadi Beitollahi,Fariba Garkani Nejad,Zahra Dourandish
出处
期刊:ADMET and DMPK [International Association of Physical Chemists (IAPC)]
卷期号:13 (2): 2686-2686
标识
DOI:10.5599/admet.2686
摘要

Chemotherapy is the most effective and commonly utilized cancer treatment method. Therefore, studies on the sensitive determination of chemotherapy drugs used in cancer treatment can be very effective in improving treatment and reducing their side effects. The two-dimensional Co-based metal-organic framework nanosheets (2D Co-MOF NSs) were synthesized and then utilized to modify the screen-printed carbon electrode (2D Co-MOF NSs/SPCE). The 2D Co-MOF NSs/SPCE was successfully used for the determination of daunorubicin (DNR). Furthermore, we utilized differential pulse voltammetry, cyclic voltammetry, and chronoamperometry to evaluate the electrochemical properties of the created electrode. The obtained results from CV studies demonstrate that this sensor exhibits outstanding electrocatalytic activity for the redox process of DNR. Under optimal experimental conditions, quantitative measurements resulted in a linear concentration range from 0.004 to 450.0 μM for DNR with a limit of detection (LOD) of 0.001 μM. Furthermore, the fabricated electrode was used for the simultaneous voltammetric detection of DNR and idarubicin (IDR). According to the results, the 2D Co-MOF NSs/SPCE sensor showed two well-defined peaks for the voltammetric oxidation of DNR and IDR. Eventually, the practical sample detection of DNR and IDR was successfully validated with acceptable results. The developed sensing platform will be beneficial for enabling effective medical strategies to improve the clinical efficacy of chemotherapy drugs.
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
wg发布了新的文献求助10
刚刚
jsieuh完成签到 ,获得积分10
1秒前
long0809完成签到,获得积分10
1秒前
无极微光的应助被AA采纳,获得20
2秒前
3秒前
4秒前
4秒前
5秒前
6秒前
6秒前
共产主义战士的应助被小朋宇采纳,获得10
6秒前
Shaw的应助被苏卿采纳,获得30
7秒前
我在风中扯剑光完成签到,获得积分10
7秒前
Ge发布了新的文献求助10
8秒前
Kanu发布了新的文献求助10
8秒前
9秒前
9秒前
Sakanasaigao完成签到,获得积分10
9秒前
圆小异发布了新的文献求助10
11秒前
天天完成签到 ,获得积分10
11秒前
狗铎发布了新的文献求助10
13秒前
CATH发布了新的文献求助10
15秒前
东方烨伟发布了新的文献求助10
15秒前
libaokuu发布了新的文献求助10
15秒前
斯文秋蝶完成签到,获得积分10
15秒前
Ge完成签到,获得积分10
16秒前
17秒前
PatienceK完成签到 ,获得积分10
17秒前
17秒前
18秒前
19秒前
22秒前
AA完成签到,获得积分10
22秒前
yingyi发布了新的文献求助10
22秒前
CipherSage的应助被小朋宇采纳,获得10
23秒前
23秒前
韩莎发布了新的文献求助10
23秒前
太阳娃娃完成签到,获得积分10
23秒前
852的应助被文艺沛文采纳,获得10
23秒前
彭于晏的应助被飘逸剑采纳,获得10
27秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Production Logging: Theoretical and Interpretive Elements 400
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7815600
求助须知:如何正确求助?哪些是违规求助? 9345107
关于积分的说明 20527880
捐赠科研通 7408312
什么是DOI,文献DOI怎么找? 3330975
关于科研通互助平台的介绍 2477469
邀请新用户注册赠送积分活动 2350701