Low-fouling CNT-PEG-hydrogel coated quartz crystal microbalance sensor for saliva glucose detection. Issue 37 (28th June 2021)

• Record Type: Journal Article
• Authors: Wang, Shiwen; Liu, Guanjiang; Yang, Bei; Zhang, Zifeng; Hu, Debo; Wu, Chenchen; Qin, Yaling; Dou, Qian; Dai, Qing; Hu, Wenping
• Is Part Of: RSC advances. Volume 11:Issue 37(2021)
• Page Start: 22556
• Page End: 22564
• Publication Date: 2021-06-28
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/d1ra02841c
• Languages: English
• ISSNs: 2046-2069

Abstract

Abstract : We successfully achieved the direct detection of saliva glucose by a CNT-PEG-hydrogel. The top CNT-PEG layer provides channels for transporting glucose molecules and filters macromolecular impurities and the bottom base PBA-hydrogel film provides the glucose binding sites. Abstract : Saliva glucose detection based on a quartz crystal microbalance (QCM) sensor has emerged as a promising tool and a non-invasive diagnostic technique for diabetes. However, the low glucose concentration and strong protein interference in the saliva hinder the QCM sensors from practical applications. In this study, we present a robust and simple anti-fouling CNT-PEG-hydrogel film-coated QCM sensor for the detection of saliva glucose with high sensitivity. The CNT-PEG-hydrogel film consists of two layers; the bottom base PBA-hydrogel film is designed to recognize the glucose while the top CNT-PEG layer is used to restrict protein adsorption and improve the biocompatibility. Our results show that this CNT-PEG-hydrogel film exhibited a 10-fold enhancement on the detection limit compared to the PBA-hydrogel. Meanwhile, the adsorption of proteins on the surface of the CNT-PEG-hydrogel film, including bovine serum albumin (BSA), mucin (MUC), and fibrinogen (FIB), were reduced by 99.1%, 77.8%, and 83.7%, respectively. The CNT-PEG-hydrogel film could detect the typical saliva glucose level (0–50 mg L −1 ) in 10% saliva with a good responsivity. To sum up, this new tool with low-fouling film featuring high stability, specificity, and selectivity holds great potential for non-invasive monitoring of saliva glucose in human physiological levels.