How can a two-dimensional chiral superlattice made of TaS₂ achieve label-free SERS detection of chiral molecules with such high sensitivity? In this approach, researchers inserted chiral α-methylbenzylamine into TaS₂ layers, creating a chiral superlattice that shows strong circular dichroism and allows direct detection of biomolecular enantiomers like D-/L-glucose. What makes this structure so unique that it can detect glucose at sub-nanomolar levels without any additional labels? Could this method be applied to other biomolecules such as amino acids or early cancer markers? And what potential does it have for real-world applications like drug quality control or clinical diagnostics?
How Does a 2D Chiral Superlattice Enable Label-Free SERS for Precise Chiral Molecule Detection?
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This method is applicable to other biomolecules. It works for D-/L-histidine with a 1.5 nM detection limit, and can potentially detect early cancer markers by targeting their chiral features. In real-world applications, its stability (signal unchanged after 2-month storage) and accuracy (<1% error in saliva) suit drug quality control (enantiomer purity checks) and clinical diagnostics (e.g., glucose in saliva).
Compared to traditional methods, it avoids external chiral selectors, simplifying operations. Unlike low-sensitivity traditional optics, it achieves ultra-high sensitivity. A potential misunderstanding is assuming it’s limited to glucose, but its universality allows broader biomolecule detection.
The system exhibits sub-nanomolar detection limits for glucose due to strong chiral plasmonic coupling and enhanced local electromagnetic fields, allowing direct identification and quantification of enantiomers. This mechanism is broadly applicable to other biomolecules such as amino acids (e.g., histidine was detected at 1.5 nM) and potentially to early cancer markers involving chiral biomarkers.
Real-world applications include drug quality control—ensuring enantiomeric purity of pharmaceuticals—and clinical diagnostics, such as continuous glucose monitoring in saliva with high accuracy and long-term stability. The platform can be integrated into portable chip-based sensors, offering a versatile tool for metabolic tracking and early disease diagnosis.