Conventional single-mode optical methods suffer from low sensitivity, poor anti-interference, and high false-positive rates in complex matrices, failing trace, rapid and on-site detection needs. Multi-mode sensing emerges as a key solution by integrating signals for self-calibration and complementary analysis. Research over the past five years indicates that nanomaterials-based dual/triple-mode optical sensors generally achieve 1–3 orders of magnitude higher detection sensitivity and 10–20 % shorter detection times compared to conventional single-mode optical sensors. This significantly enhances the efficiency of trace analysis and on-site detection. Leveraging quantum size effects, plasmon resonance, and interfacial synergy, nanomaterials serve as core building blocks for efficient multimodal signal coupling and modulation. Focusing on 2020–2025 advances, the paper reviews quantum dots, metal oxide nanomaterials, metal nanomaterials, organic framework nanomaterials and composite nanomaterials in dual/triple-mode optical sensing. Based on the dual/triple-mode optical signal modulation of nanomaterials, this review summarizes the working principles and performance characteristics of various optical sensing strategies, including colorimetric-fluorescence, SERS-fluorescence, SERS-colorimetric and electrochemiluminescence-colorimetric/fluorescence. These sensing strategies combine high efficiency with high sensitivity, enabling fast and accurate detection to achieve real-time monitoring of analytes within complex biological systems. By comparing the advantages and disadvantages of different nanomaterials and their optical sensing strategies, a comprehensive overview of recent advances and current challenges is presented, and valuable insights into future research directions are provided. This review is expected to propel the development of efficient multimodal optical sensing technologies, advancing precision in biosensing, improving efficiency in environmental monitoring, and enhancing portability for point-of-care diagnostics.
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