DOI: https://doi.org/10.36347/sajb.2025.v13i07.008

Pages: 960-985

Metal-based energy storage systems (ESS)—including lithium, sodium, magnesium, and zinc batteries—are indispensable for sustainable energy applications. Yet, they often suffer from material degradation, unsafe dendrite growth, and ineffective ion transport. This study introduces a novel nanoscience-enhanced photoacoustic spectroscopy (PAS) framework to tackle these challenges with quantitative rigor. PAS, which converts modulated light absorption into acoustic waves, has been shown to image lithium metal dendrites in 3D with micrometer resolution (~3 µm) and penetration depths of ~160 µm. When applied to layered nanomaterials—e.g., MoS₂ reduced from 112 to 7 µm thickness—the PAS signal improves by nearly 50×. Similarly, metal nanoparticle aggregates exhibit distinct PAS signatures, enabling the determination of aggregate size distributions and packing density. Integrating these findings, our work synthesizes evidence from battery-specific PAS studies, highlighting 3D dendrite detection, phase-change monitoring, SEI layer growth, and hotspot identification. We detail synthesis methods (sol–gel, hydrothermal, CVD) and PAS instrumentation (532 nm pulsed laser, piezoelectric detectors, modulation cells) to ensure reproducibility. Comparative analysis shows that nanomaterial-augmented PAS enhances diagnostic sensitivity ~24× over planar electrodes and lowers detection limits by ~4×—a trend consistent with sensor literature. We present case studies with spectral maps and quantitative metrics supporting material engineering interventions like doping, morphology control, and coating. Finally, we discuss ambitions to integrate PAS operando with AI/ML analytics for predictive diagnostics, addressing limitations like depth penetration and instrumentation complexity. This convergence of nanoscience and PAS provides a transformative blueprint for real-time, data-driven optimization of metal-based ESS, aiming at enhanced performance, safety, and longevity.