文献类型：期刊文献

英文题名：Rapid analysis of salivary glucose content using MOF/MIPs biomimetic microfluidic paper chips

作者：Li, Ningning[1] Zhou, Ying[2] Sun, Hao[3] Wang, Nan[1] Yang, Nan[4,5] Ren, Peiyao[4,5] Fu, Lanjun[4,5] Zhang, Yiming[1] Liu, Wei[3] Li, Yanjie[6] Jin, Juan[4,5]

第一作者：Li, Ningning

通信作者：Liu, W[1];Jin, J[2];Jin, J[3];Li, YJ[4]

机构：[1]Zhejiang A&F Univ, Coll Food & Hlth, Hangzhou 311300, Peoples R China;[2]Anhui Med Coll, Coll Stomatol, Hefei 230601, Peoples R China;[3]Zhejiang A&F Univ, Coll Opt Mech & Elect Engn, Hangzhou 311300, Peoples R China;[4]Zhejiang Chinese Med Univ, Affiliated Hosp 1, Zhejiang Prov Hosp Chinese Med, Dept Nephrol, Hangzhou 310000, Peoples R China;[5]Zhejiang Key Lab Res & Translat Kidney Deficiency, Hangzhou 310000, Peoples R China;[6]Chinese Acad Forestry, Res Inst Subtrop Forestry, Hangzhou 311400, Peoples R China

年份：2025

卷号：504

外文期刊名：CHEMICAL ENGINEERING JOURNAL

收录：;EI(收录号：20250217652444);Scopus(收录号：2-s2.0-85214269831);WOS:【SCI-EXPANDED(收录号:WOS:001421320000001)】；

基金：We are gratefully acknowledged the Construction of Key Projects by Zhejiang Provincial Ministry (Project No.WKJ-ZJ-2302) and the support from the National Natural Science Foundation of China (No. 32072298) . We would like to thank Shiyanjia Lab ( www.shiyanjia.com ) for material characterizations.

语种：英文

外文关键词：Boronate affinity; Metal-organic frameworks; Molecularly imprinted polymers; Non-invasive; Visual detection

摘要：Rapid and accurate glucose monitoring is extremely crucial for the health management of diabetic patients. Whereas the non-invasive detection of salivary glucose is promising alternative. In this study, a newly designed MOF/MIPs paper-based microfluidic biomimetic chip (MM-SGM-chips) was successfully constructed based on boron-affinity orientation surface imprinting strategy. The obtained chips demonstrated high adsorption capability (Qe = 213.40 mg center dot g-1), excellent selectivity (IF = 3.7), speedy detection (less than 30 min), and satisfied anti-interference ability for glucose. Moreover, the MM-SGM-chips could be capable of rapid and sensitive quantification of glucose level ranged from 0.1-3.2 mM through visual detection, with a limit of detection as low as 0.02 mM. Furthermore, the real clinical samples in daily period were collected for validating its correlation with serum glucose level. Present works demonstrated the promising potentiality of MM-SGM-chips for home self-test and even point-of-care testing clinical applications.