Indomethacin Embedded into MIL-101 Frameworks: A Solid-State NMR Study

异核分子 金属有机骨架 四氢呋喃 对苯二甲酸 分子 同核分子 固态核磁共振 氢键 化学 溶剂 材料科学 结晶学 有机化学 聚酯纤维 核磁共振 吸附 物理
作者
Tomaž Čendak,Emanuela Žunkovič,Tina Ukmar,Matjaž Mazaj,Nataša Zabukovec Logar,Gregor Mali
出处
期刊:Journal of Physical Chemistry C [American Chemical Society]
卷期号:118 (12): 6140-6150 被引量:28
标识
DOI:10.1021/jp412566p
摘要

Interactions of drug molecules embedded within the pores of drug-delivery matrices significantly influence the drug-release rate and profile. In this Article, we used solid-state NMR experiments to inspect the interactions of indomethacin drug and tetrahydrofuran solvent molecules within mesoporous MIL-101 metal–organic framework materials. MIL-101 matrices were prepared using two types of linkers, terephthalic acid for MIL-101(Cr) and MIL-101(Fe), and amino-terephthalic acid for MIL-101(Al)-NH2 and MIL-101(Fe)-NH2. Loading MIL-101 matrices with indomethacin proved to be very efficient; the obtained delivery systems accommodated from 0.9 to 1.1 g of indomethacin per 1 g of MIL-101 material. NMR measurements showed that regardless of the type of the framework metal centers or the type of the organic linker indomethacin did not attach to the metal–organic framework. Interactions between indomethacin molecules themselves were also not detected. On the contrary, the smaller tetrahydrofuran solvent molecules did attach to the framework metallic trimeric units with hydrogen bonds. The bonds and the geometry of the porous system prevented the tetrahydrofuran molecules to be expelled from the MIL-101 matrix during drying. Information on interactions and proximities among neighboring nuclei was obtained by 1H homonuclear correlation and 1H–13C heteronuclear correlation NMR measurements. Distance-dependent influence of paramagnetic chromium and iron centers was also exploited.

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
Akim应助hello尘迹采纳,获得10
刚刚
刚刚
小蘑菇应助科研通管家采纳,获得10
刚刚
刚刚
1秒前
充电宝应助科研通管家采纳,获得10
1秒前
完美世界应助科研通管家采纳,获得10
1秒前
Lucas应助科研通管家采纳,获得10
1秒前
舒易云应助科研通管家采纳,获得10
1秒前
CipherSage应助科研通管家采纳,获得10
1秒前
今后应助yeyiliux采纳,获得10
1秒前
顾矜应助znlion采纳,获得10
1秒前
顾矜应助科研通管家采纳,获得10
2秒前
万能图书馆应助勤恳曼卉采纳,获得10
2秒前
背后远望完成签到 ,获得积分20
2秒前
Lucas应助大力的图图采纳,获得10
2秒前
3秒前
5秒前
5秒前
5秒前
5秒前
Fluoxetine完成签到,获得积分10
6秒前
小0完成签到,获得积分10
7秒前
7秒前
7秒前
7秒前
传奇3应助野性的懿轩采纳,获得10
8秒前
背后远望关注了科研通微信公众号
9秒前
youyou糍粑发布了新的文献求助10
9秒前
9秒前
10秒前
啊啊缘发布了新的文献求助10
12秒前
12秒前
张欢馨应助windy采纳,获得10
13秒前
宋浩奇发布了新的文献求助10
13秒前
13秒前
茜茜Rachel发布了新的文献求助20
13秒前
372721759发布了新的文献求助10
14秒前
小绵羊发布了新的文献求助10
15秒前
17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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7610121
求助须知:如何正确求助?哪些是违规求助? 9185769
关于积分的说明 19677913
捐赠科研通 7183824
什么是DOI,文献DOI怎么找? 3270342
关于科研通互助平台的介绍 2434021
邀请新用户注册赠送积分活动 2264993