Bisphenol analogues are the typical class of endocrine disrupting chemicals (EDCs) that interfere with binding of endogenous hormones to androgen receptor (AR). With the expansion of industrial activities and the intensification of environmental pollution, an increasing array of bisphenol analogues is being released into the environment and food chain. This highlights the urgency to develop sensitive methods for the detection of bisphenol analogues. Here, we propose a biomimetic AR-based biosensor platform for detecting bisphenol analogues (BPF, TBBPA, and TBBPS) by binding with Aggregation-Induced Emission (AIE) probes. Following a comparison of the PROSS and ABACUS methods, biomimetic AR was designed using the ABACUS approach and subsequently expressed in vitro via the E. coli expression system. Through molecular docking and the observation of fluorescence changes upon binding with biomimetic AR, BS-46006 was selected as the AIE probe for the biosensor. The biomimetic AR-based biosensor showed sensitive detections of BPF, TBBPA, and TBBPS within a range of 0-50 mM. To further elucidate the multi-residue recognition mechanism, molecular orbitals, Electron Localization Function (ELF), and Localized Orbital Locator (LOL) were systematically calculated in this study. Lowest unoccupied molecular orbital and highest occupied molecular orbital indicated the energy gap of BPF, TBBPA, and TBBPS, which correspond to 0.12812, 0.19689, and 0.18711 eV, respectively. ELF and LOL offered clearer perspective through heat maps to visually represent the electron delocalization in BPF, TBBPA, and TBBPS. The matrix effect analysis suggested that the responses of bisphenol analogues in soil matrices could be effectively mitigated through sample pretreatment. The analysis of spiked soil samples showed the acceptable recoveries ranged from 91 % to 105 %. Additionally, the biomimetic AR-based AIE biosensor, which combines multi-residue detection with Tolerable Daily Intakes, shows great promise for the risk assessment of bisphenol analogues. This research may present a viable approach for the analysis of environmental pollutants.
Keyphrases
- molecular docking
- label free
- living cells
- molecular dynamics simulations
- risk assessment
- gold nanoparticles
- sensitive detection
- quantum dots
- human health
- heavy metals
- fluorescent probe
- single molecule
- tissue engineering
- escherichia coli
- binding protein
- physical activity
- poor prognosis
- small molecule
- loop mediated isothermal amplification
- air pollution
- real time pcr
- wastewater treatment
- photodynamic therapy
- single cell
- density functional theory
- artificial intelligence
- nucleic acid