Hierarchically porous covalent organic framework doped monolithic column for on-line chip-based array microextraction of nonsteroidal anti-inflammatory drugs in microlitre volume of blood

IF 5.7 2区 化学 Q1 CHEMISTRY, ANALYTICAL Analytica Chimica Acta Pub Date : 2024-10-11 DOI:10.1016/j.aca.2024.343332
Qiulin Zhang, Beibei Chen, Man He, Bin Hu
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Abstract

Background

Traditional blood drug analysis involves large blood consumption and complicated operations and a further reduction in blood consumption is urgently needed. Chip-based monolithic column microextraction is a good strategy for the pretreatment of small-volume samples, and new monolithic materials is the critical factor. Covalent organic frameworks (COFs) are good adsorbents due to large specific surface area and rich conjugated structure. However, the poor dispersion ability of COFs in prepolymer solution severely hinders the preparation of COFs doped monolithic columns. Herein, high internal phase emulsion with viscoelastic properties was adopted to fixed COF particles.

Results

The COFs doped monolith exhibited a hierarchical porous structure and improved extraction efficiency for interest nonsteroidal anti-inflammatory drugs (NSAIDs) (68.2-77.3 vs 28.4-57.7%). A chip-based monolithic column array was fabricated and coupled with high-performance liquid chromatography (HPLC)-ultraviolet detection for online determination of five NSAIDs in microlitre volume of blood. The throughput of the developed method was approximately 3 h-1, mainly determined by the separation time (22 min) of target NSAIDs in HPLC. Under the optimal conditions (200 μL sample solution, pH=3 at a sampling folw rate of 5 μL min-1 and 20 μL of acetonitrile/10 mmol L-1 NaOH (9/1, v/v) as desorbent), the detection limit of 4.39-15.5 μg L-1 was obtained for target NSAIDs in blood with RSD of 7.8-15.3% and R2 of 0.9943-0.9978. The method was applied to the analysis of human serum (20 μL) and dried blood spot, with recovery of 82.0-118% for target NSAIDs.

Significance

A method was proposed for the preparation of COF doped monolithic columns by emulsion polymerization, avoiding uneven distribution of COFs caused by their easy sedimentation in traditional free radical preparation of monolithic columns. Then a chip-based monolithic column array coupled with on-line HPLC-UV detection was established for the quantification of five NSAIDs in microlitre-blood samples. The developed method merits high automation and good anti-interference ability, with extremely low sample/reagents consumption.

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层状多孔共价有机框架掺杂整体柱用于微升血液中非甾体抗炎药的在线芯片阵列微萃取
背景传统的血液药物分析耗血量大、操作复杂,迫切需要进一步降低耗血量。基于芯片的整体柱微萃取是小容量样品预处理的良好策略,而新型整体材料是关键因素。共价有机框架(COFs)具有较大的比表面积和丰富的共轭结构,是一种良好的吸附剂。然而,COFs 在预聚物溶液中的分散能力较差,严重阻碍了掺杂 COFs 的整体柱的制备。结果掺杂 COFs 的整体柱呈现出分层多孔结构,提高了对非甾体抗炎药(NSAIDs)的萃取效率(68.2-77.3 vs 28.4-57.7%)。制备了基于芯片的整体柱阵列,并将其与高效液相色谱-紫外检测相结合,在线测定了微升血液中的五种非甾体抗炎药。该方法的通量约为3小时-1,主要取决于目标非甾体抗炎药在高效液相色谱中的分离时间(22分钟)。在最佳条件下(200 μL样品溶液,pH=3,取样速度为5 μL min-1,20 μL乙腈/10 mmol L-1 NaOH (9/1, v/v)为解吸附剂),血液中目标非甾体抗炎药的检出限为4.39~15.5 μg L-1,RSD为7.8~15.3%,R2为0.9943~0.9978。该方法应用于人血清(20 μL)和干血斑的分析,目标非甾体抗炎药的回收率为82.0%~118%。 重要意义 提出了一种乳液聚合法制备掺杂COF整体柱的方法,避免了传统自由基制备整体柱时COF易沉淀而导致的分布不均。然后建立了基于芯片的整体柱阵列,并结合在线高效液相色谱-紫外检测技术,用于定量检测微升血液样品中的五种非甾体抗炎药。该方法自动化程度高、抗干扰能力强、样品/试剂消耗量极低。
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来源期刊
Analytica Chimica Acta
Analytica Chimica Acta 化学-分析化学
CiteScore
10.40
自引率
6.50%
发文量
1081
审稿时长
38 days
期刊介绍: Analytica Chimica Acta has an open access mirror journal Analytica Chimica Acta: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. Analytica Chimica Acta provides a forum for the rapid publication of original research, and critical, comprehensive reviews dealing with all aspects of fundamental and applied modern analytical chemistry. The journal welcomes the submission of research papers which report studies concerning the development of new and significant analytical methodologies. In determining the suitability of submitted articles for publication, particular scrutiny will be placed on the degree of novelty and impact of the research and the extent to which it adds to the existing body of knowledge in analytical chemistry.
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