For early diabetes identification and management, the progression of an uncomplicated and exceedingly responsive glucose testing technology is crucial. In this study, we present a new sensor incorporating a composite of metal organic framework (MOF) based on cobalt, coated with boronic acid to facilitate selective glucose binding. Additionally, we successfully employed a highly sensitive electro-optical immunosensor for the detection of subtle changes in concentration of the diabetes biomarker glycated haemoglobin (HbA1c), using zeolitic imidazolate framework-67 (ZIF-67) coated with polydopamine which further modified with boronic acid. Utilizing the polymerization characteristics of dopamine and the NH2 groups, a bonding structure is formed between ZIF-67 and 4-carboxyphenylboronic acid. ZIF-67 composite served as an effective substrate for immobilising 4-carboxyphenylboronic acid binding agent, ensuring precise and highly selective glucose identification. The sensing response was evaluated through both electrochemical and optical methods, confirming its efficacy. Under optimized experimental condition, the ZIF-67 based sensor demonstrated a broad detection range of 50–500 mg dL−1, a low limit of detection (LOD) of 9.87 mg dL−1 and a high correlation coefficient of 0.98. Furthermore, the 4-carboxyphenylboronic acid-conjugated ZIF-67-based sensor platform exhibited remarkable sensitivity and selectivity in optical-based detection for glycated haemoglobin within the clinical range of 4.7–11.3

Herein, we reported electro-micro-flow induced carbanion generation, and subsequently quench with the various inactive electrophile such as CO 2 , CS 2 , an aldehyde, a ketone, and electron-deficient olefins, to obtain the corresponding product.

The requirement of high-sensitivity, accurate and rapid determination of glucose in human blood is major challenge from clinical perspective. In this work, boronic acids (BAs) and derivatives were successfully functionalized over graphene nano flakes (GNF) surface as a sensing platform to spot Glucose molecule. The density functional theory-based investigation has been carried out by considering geometrical optimization, density of states, and molecular energy spectrum. Further, molecular properties like molecular orbital investigations, energy gap, chemical hardness, chemical softness, have been evaluated in order to distinguish the rate of reaction and binding energy between GNF-BA and Glucose. Results show that BAs derivatives were physisorbed/chemisorbed over GNF surface. Moreover, the analyte formed the covalent interactions with its diol group towards the trigonal structured B atom of BAs and provided the sensing signal by modifying the DOS peaks of sensing platform. Eventually, the sensitivity of different BA’s derivatives @GNF to Glucose sensing were compared. These findings show the variation at molecular and atomic level behaviour of GNF-BA sensing platform in presence/absences of Glucose. Therefore, our DFT predictions have application in designing sensor in area of biomolecules and bioelectronics for healthcare sector.