The research team, led by Litu Liu, Dingqiang Lu, Chenyu Xu, and colleagues at Tianjin University of Commerce, constructed an electrochemical nano-receptor sensor built on an Au-MoS2/NiO nanocomposite. This hybrid material layers the exceptional conductivity and surface area of gold-modified molybdenum disulfide nanosheets with the catalytic properties of nickel oxide, creating an electrode platform capable of translating molecular binding events into measurable electrical signals. Onto this nanocomposite foundation, the researchers immobilized estrogen receptor beta (ERβ), transforming the electrode into what they describe as a nano-receptor sensor that mimics, at a functional level, the molecular recognition performed inside living cells.

What sets this work apart from conventional estrogen sensors is its comparative scope. Rather than detecting a single target compound, the team used the sensor to quantitatively determine ten distinct estrogenic compounds, spanning natural estrogens and their synthetic counterparts. The electrochemical measurements revealed a striking ligand-dependent pattern: synthetic estrogenic compounds generally produced stronger electrochemical responses than natural estrogens. This finding carries significant implications for understanding why certain synthetic endocrine-disrupting chemicals may pose heightened risks, even at low environmental concentrations.

To quantify these interactions rigorously, the researchers fitted their electrochemical response data to derive apparent electrochemical response constants (Ka) for each ligand. These constants ranged from 5.63 × 10⁻¹⁶ to 3.08 × 10⁻¹⁴ mol/L, providing a ranked profile of binding strength across the entire panel of tested compounds. Such quantitative discrimination, achieved directly from electrical signal intensity rather than through multi-step biological assays, demonstrates the practical power of the nano-receptor platform for screening and comparative toxicology.

Electrochemistry alone cannot explain why one molecule binds more tightly than another. To address this, the team complemented their experimental measurements with molecular docking and molecular dynamics simulations, creating a hybrid experimental–computational framework. These computational tools allowed the researchers to visualize the binding poses of each ligand within the ERβ binding pocket, track the temporal stability of each complex, and identify the specific amino acid residues that govern molecular recognition.

The computational analyses converged on three key residues: Leu339, Arg346, and His475. These amino acids emerged as critical contributors to ERβ-mediated molecular recognition across the structurally diverse panel of estrogenic ligands. The simulations also highlighted the importance of phenolic groups on the ligand molecules themselves, consistent with the well-established role of hydroxyl-bearing aromatic rings in hydrogen bonding and π-stacking interactions within the receptor binding site. Together, these findings provide a mechanistic explanation for the observed electrochemical response hierarchy.

The significance of this integrated approach extends beyond the specific compounds tested. Estrogenic endocrine disruptors, including bisphenol A, nonylphenol, and various synthetic steroidal estrogens, are pervasive environmental contaminants detected in water supplies, food packaging, and biological fluids. Traditional analytical methods for these compounds often require expensive instrumentation, lengthy sample preparation, or the use of antibodies and enzymes that degrade over time. Receptor-based electrochemical sensors offer an alternative that leverages the natural specificity of protein–ligand interactions while maintaining the simplicity and robustness of electrochemical readout.

Earlier receptor-based estrogen sensors have typically focused on estrogen receptor alpha (ERα) and relied on impedance-based or field-effect transistor configurations. By targeting ERβ instead, the current study addresses a receptor isoform that plays distinct and increasingly appreciated roles in tissue physiology, including anti-proliferative effects in certain cancers and neuroprotective actions in the central nervous system. Understanding which ligands bind preferentially to ERβ, and with what apparent affinity, therefore informs not only environmental monitoring but also pharmaceutical design and risk assessment.

The nanocomposite platform itself represents a notable engineering achievement. Molybdenum disulfide nanosheets decorated with gold nanoparticles have proven highly effective in prior biosensing applications, offering enhanced electron transfer kinetics and abundant anchoring sites for biomolecule immobilization. Nickel oxide contributes additional electrocatalytic activity and structural stability. The synergy among these three components creates an electrode surface that is both electrochemically active and biologically functional, providing a durable foundation for repeated sensor use.

By fusing receptor-mediated electrochemical sensing with molecular docking and molecular dynamics simulations, the researchers have established a versatile framework for comparative investigation of ERβ–ligand recognition mechanisms among structurally diverse estrogenic compounds. This experimental–computational synergy offers a blueprint for future studies seeking to evaluate emerging contaminants, screen pharmaceutical candidates, or deepen the fundamental understanding of nuclear receptor pharmacology. As concerns about endocrine disruption continue to grow, tools like this nano-receptor sensor will play an increasingly vital role in safeguarding human health.

Subject of Research: Development of an ERβ electrochemical nano-receptor sensor for comparative analysis of estrogenic ligand binding and molecular recognition

Article Title: An ERβ electrochemical nano-receptor sensor for comparative analysis of estrogenic ligands: electrochemical responses and molecular recognition

Article References: Liu, L., Lu, D., Xu, C., Geng, L., Lai, C.-J.-S., & Yan, X. (2026). An ERβ electrochemical nano-receptor sensor for comparative analysis of estrogenic ligands: electrochemical responses and molecular recognition. Biomedical Microdevices, 28(3), Article 63. https://doi.org/10.1007/s10544-026-00846-6

Image Credits: AI Generated

DOI: 10.1007/s10544-026-00846-6

Keywords: estrogen receptor beta, electrochemical sensor, nano-receptor, Au-MoS2/NiO nanocomposite, endocrine disruptors, molecular docking, molecular dynamics simulation, estrogenic ligands, molecular recognition, biosensor, environmental monitoring, protein-ligand interactions