A flexible assay strategy for non-glucose targets based on sulfhydryl-terminated liposomes combined with personal glucometer

Biosens Bioelectron. 2021 Mar 1:175:112884. doi: 10.1016/j.bios.2020.112884. Epub 2020 Dec 16.

Abstract

The personal glucose meter (PGM) is one of the most successful point-of-care (POC) testing devices. It is simple, robust and inexpensive, but cannot be easily adapted to analytes other than glucose. We report a novel chemical conjugation-based assay strategy, using rational design of chemically-derivatized glucose-encapsulating liposomes, to repurpose a PGM, taking an important mycotoxin patulin as the model analyte. Sulfhydryl (-SH) was proposed for the first time as a specific functional group for efficient recognition of patulin. Multifunctional sulfhydryl-terminated glucose-encapsulating liposomes (G-LIP-SH) were synthesized in a simple, single step, which efficiently captured patulin by covalent bonding, and interacted strongly with NH2-Au@Fe3O4 nanoparticles. Magnetic removal of nanoparticles efficiently and selectively separated patulin-derivatized from un-derivatized G-LIP-SH, permitting the latter to be lysed and the released glucose measured by PGM. The PGM signal was inversely proportional to the patulin concentration, over the range of 0.1-50 ng mL-1 (R2 = 0.995) with a detection limit of 0.05 ng mL-1 (S/N = 3). This approach overcame interference from endogenous glucose, other mycotoxins and metal ions, allowing the analysis of a wide range of sample matrices and showed high specificity, acceptable reproducibility, good accuracy and optimal applicability. Other derivatization chemistries will enable this approach to be adapted to analytes with a wide range of chemical structures, to facilitate development of rapid, portable, user-friendly and cost-effective assays applicable to diverse analytes and sample matrices.

Keywords: Chemical conjugation-based recognition; Magnetic NH(2)–Au@Fe(3)O(4) nanoparticles; Non-glucose targets; Personal glucose meter; Sulfhydryl-terminated liposomes.

MeSH terms

  • Biosensing Techniques*
  • Blood Glucose Self-Monitoring
  • Glucose*
  • Liposomes
  • Reproducibility of Results

Substances

  • Liposomes
  • Glucose