Repositori institucional URV
| URV's Author/s: | Mateos Ferré, Xavier |
| Author, as appears in the article.: | Butt, Muhammad A; Imran Akca, B; Mateos, Xavier |
| Author's mail: | xavier.mateos@urv.cat |
| Author identifier: | 0000-0003-1940-1990 |
| Journal publication year: | 2025 |
| Publication Type: | Journal Publications |
| APA: | Butt, Muhammad A; Imran Akca, B; Mateos, Xavier (2025). Integrated Photonic Biosensors: Enabling Next-Generation Lab-on-a-Chip Platforms. Nanomaterials, 15(10), 731-. DOI: 10.3390/nano15100731 |
| Paper original source: | Nanomaterials. 15 (10): 731- |
| Abstract: | Integrated photonic biosensors are revolutionizing lab-on-a-chip technologies by providing highly sensitive, miniaturized, and label-free detection solutions for a wide range of biological and chemical targets. This review explores the foundational principles behind their operation, including the use of resonant photonic structures such as microring and whispering gallery mode resonators, as well as interferometric and photonic crystal-based designs. Special focus is given to the design strategies that optimize light-matter interaction, enhance sensitivity, and enable multiplexed detection. We detail state-of-the-art fabrication approaches compatible with complementary metal-oxide-semiconductor processes, including the use of silicon, silicon nitride, and hybrid material platforms, which facilitate scalable production and seamless integration with microfluidic systems. Recent advancements are highlighted, including the implementation of optofluidic photonic crystal cavities, cascaded microring arrays with subwavelength gratings, and on-chip detector arrays capable of parallel biosensing. These innovations have achieved exceptional performance, with detection limits reaching the parts-per-billion level and real-time operation across various applications such as clinical diagnostics, environmental surveillance, and food quality assessment. Although challenges persist in handling complex biological samples and achieving consistent large-scale fabrication, the emergence of novel materials, advanced nanofabrication methods, and artificial intelligence-driven data analysis is accelerating the development of next-generation photonic biosensing platforms. These technologies are poised to deliver powerful, accessible, and cost-effective diagnostic tools for practical deployment across diverse settings. |
| Article's DOI: | 10.3390/nano15100731 |
| Link to the original source: | https://www.mdpi.com/2079-4991/15/10/731 |
| Paper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Química Física i Inorgànica |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | Chemical engineering (all) Chemical engineering (miscellaneous) Chemistry, multidisciplinary Engenharias ii General chemical engineering General materials science Materials science (all) Materials science (miscellaneous) Materials science, multidisciplinary Nanoscience & nanotechnology Physics, applied |
| Keywords: | Bio-diagnostic Bio-diagnostics Improvement Integrated optics Interferometer Lab-on-chip Microfluidics Mode Photonic sensors Quantum-dot lasers Ring-resonator Sensitivit Sensors Silicon-nitride Wave-guides |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2025-06-07 |
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