RT Journal Article
T1 Optical Camera-Based Multiplexed Photonic Sensor System With Ultralow Detection Limit for Biomedical Applications
A1 Pérez-Sánchez, Laura
A1 Sánchez-Ramírez, Ana
A1 Leuermann, Jonas
A1 Molina-Fernández, Íñigo
K1 Fotónica
K1 Interferómetros
K1 Sensores
K1 Señales, Teoría de (Telecomunicación)
K1 Biomedicina - Investigación
AB Photonic sensors based on Mach–Zehnder interferometric architectures with phase-coherent readout have demonstrated their potential for the integration into medical diagnostic devices. Their compact design, low cost, and ability to detect multiple biomarkers make them potentially applicable for the point-of-care. Achieving both high throughput and optimal sensor performance requires a miniaturized interrogation system with multiplexed readout capability that facilitates alignment and at the same time offers a high signal-to-noise ratio (SNR). In this work, the use of an optical camera (OC)-based system suited for multiplexed integrated photonic sensor detection is investigated. Its system level model is derived to determine the SNR and its associated limit of detection (LOD). This model allows achieving optimal sensing performance by tuning the photonic chip, the optical system, and the camera detection parameters. In agreement with model expectations, experimental results show that this system allows reaching for bulk detection limits of ∼10−7 refractive index units (RIUs) for a system comprising three sensors, representing a state-of-the-art achievement.
PB IEEE
YR 2025
FD 2025-10-01
LK https://hdl.handle.net/10630/40110
UL https://hdl.handle.net/10630/40110
LA eng
NO L. Pérez-Sánchez, A. Sánchez-Ramírez, J. Leuermann and I. Molina-Fernández, "Optical Camera-Based Multiplexed Photonic Sensor System With Ultralow Detection Limit for Biomedical Applications," in IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-11, 2025, Art no. 9536111, doi: 10.1109/TIM.2025.3612559.
NO 10.13039/100014440-Ministerio de Ciencia e Innovación y Universidades and the Agencia Estatal de Investigación, Spain (Grant Number: DIN2022-012816, PRE2020-096438 and TED2021-130400B-I00)
NO Ministerio para la Transformación Digital y de la Función Pública, Spain (Plan de Recuperación, Transformación y Resiliencia, NextGenerationEU., MICROELECTRONICS) (Grant Number: TSI-069100-2023-0013)
NO Universidad de Málaga
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026