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Multifunctional nanophotonic photoacoustic biosensors: a new era in molecular imaging–guided deep-tissue cancer monitoring

  • Bakr Ahmed Taha
  • , Ghassan M. Sulaiman
  • , Ali J. Addie
  • , Khalil A.A. Khalil
  • , Elsadig M. Ahmed
  • , Vishal Chaudhary
  • , Norhana Arsad
  • National University of Malaysia
  • Alimam University College /Balad
  • University of Technology- Iraq
  • Centre of Industrial Applications and Materials Technology/ Scientific Research Commission
  • University of Bisha
  • Hodeidah University
  • University of El Imam El Mahdi
  • Rayat Bahra University

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Monitoring cancer therapy is difficult because of restricted imaging depth, inadequate molecular specificity, and delayed response evaluation. Moreover, conventional imaging techniques fail to provide high-resolution, real-time views of the dynamic tumor microenvironment during therapy. Among emerging technologies, nanophotonic photoacoustic biosensors have gained prominence as multifunctional platforms that enable real-time, non-invasive imaging and dynamic monitoring of cancer therapy. This review discusses advances in nanophotonic engineering, including plasmonic nanostructures, NIR-II fluorophore-integrated systems, SERS-active materials, fiber-optic probes, and hybrid nanosystems, all tailored to enhance molecular targeting and signal specificity. In addition, biomimetic and biologically inspired nanosystems with enhanced tissue penetration and reduced autofluorescence in the NIR-II spectrum can be specifically highlighted. The key aspects of clinical translation are examined including biosafety, molecular specificity, and scalability. Furthermore, further explore the convergence of these biosensors with artificial intelligence and Internet of Things (IoT) frameworks to support adaptive, patient-specific decision-making in oncology. As a result of these multifunctional systems that combine nanophotonics, machine learning, and molecular diagnostics, oncology could shift towards precision-guided treatment. Finally, it proposes strategic avenues for clinical adoption, placing PAS at the vanguard of the next generation of cancer diagnostics.

Original languageEnglish
Pages (from-to)1-23
Number of pages23
JournalMethods
Volume242
DOIs
Publication statusPublished - Oct 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Artificial intelligence
  • Cancer therapy
  • Nanomaterials
  • Nanophotonic biosensors
  • Photoacoustic imaging

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