Patricia Ramirez-Priego
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Patricia Ramirez-Priego has a total of 26 co-authors. Here are the top co-authors by number of shared publications:
- Laura M. Lechuga
Nanobiosensors and Bioanalytical Applications Group (NanoB2A), Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, CIBER-BBN, and BIST, Campus UAB Bellaterra, 08193 Barcelona, Spain
5 shared publications - Jhonattan Cordoba Ramirez
Universidade Federal de Minas Gerais
2 shared publications - Maria Carmen Estevez
Nanobiosensors and Bioanalytical Applications Group, Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, BIST and CIBER-BBN, Campus UAB, Bellaterra, Barcelona, Spain
2 shared publications - Maria Soler
Nanobiosensors and Bioanalytical Applications Group (NanoB2A), Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, BIST and CIBER-BBN, 08193 Bellaterra, Barcelona, Spain
2 shared publications - Andrés Alonso-Fernández
Nanobiosensors and Bioanalytical Applications Group, Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, BIST and CIBER-BBN, Campus UAB
1 shared publication Antonino di Caro
National Institute for Infectious Disease “L. Spallanzani” IRCCS, Via Portuense 292, 00149, Rome, Italy
1 shared publication
Latest Publications
- Open Access
- 13 August 2026
- Published by IOP Publishing in Journal of Physics: Photonics
- Vol. 8 (3) , 032002
Silicon photonic biosensors for clinical diagnostics: system integration and multiplexing strategies
Silicon photonic biosensors are emerging as transformative platforms for next-generation diagnostics, combining label-free, real-time detection with high sensitivity, mass scalability, and complementary metal-oxide-semiconductor compatibility. This review examines the multidisciplinary ecosystem driving their continuous advancement, from interferometric and resonant architectures achieving attomolar detection limits, to optimized device performance and multiplexing strategies that enable simultaneous multi-analyte detection on a single chip. We analyze critical enabling technologies, including surface biofunctionalization protocols, microfluidic integration, optoelectronic packaging, and system-level architectures ranging from fully integrated monolithic solutions to hybrid cartridge-based platforms. In this way, this work maps the trajectory toward miniaturized biosensor systems capable of addressing complex challenges in point-of-care diagnostics, personalized medicine, and global health equity.
- 13 August 2026
- Published by IOP Publishing in Journal of Physics: Photonics
- Vol. 8 (3) , 032002
Open AccessSilicon photonic biosensors for clinical diagnostics: system integration and multiplexing strategies
Silicon photonic biosensors are emerging as transformative platforms for next-generation diagnostics, combining label-free, real-time detection with high sensitivity, mass scalability, and complementary metal-oxide-semiconductor compatibility. This review examines the multidisciplinary ecosystem driving their continuous advancement, from interferometric and resonant architectures achieving attomolar detection limits, to optimized device performance and multiplexing strategies that enable simultaneous multi-analyte detection on a single chip. We analyze critical enabling technologies, including surface biofunctionalization protocols, microfluidic integration, optoelectronic packaging, and system-level architectures ranging from fully integrated monolithic solutions to hybrid cartridge-based platforms. In this way, this work maps the trajectory toward miniaturized biosensor systems capable of addressing complex challenges in point-of-care diagnostics, personalized medicine, and global health equity.
- Open Access
- 23 February 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Sensors Reviews
- Vol. 3, 314-322
The Next Generation of Plasmonic Biosensors
Localized surface plasmon resonance (LSPR) biosensors enable label-free, real-time, highly sensitive, and specific detection of biomolecular interactions. Recent advances in nanofabrication, hybrid materials, and computational modeling have led to achievements like femtomolar detection limits and artificial intelligence (AI) optimization. Despite this, clinical translation remains limited. Fewer than 5% of reported LSPR biosensors have undergone multi-site validation, and none have regulatory approval for routine clinical use. This Perspective critically examines the current state and future directions of LSPR biosensors, with particular attention to whether novel strategies, including hybrid plasmonic architectures, plasmon–phonon and plasmon–exciton coupling, and AI integration, can bridge the translational gap. Quantitative performance data are consolidated, major knowledge gaps are identified, and the need to prioritize standardization, reproducibility, and clinical validation over minor sensitivity improvements is argued for achieving meaningful diagnostic impact.
- 23 February 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Sensors Reviews
- Vol. 3, 314-322
Open AccessThe Next Generation of Plasmonic Biosensors
Localized surface plasmon resonance (LSPR) biosensors enable label-free, real-time, highly sensitive, and specific detection of biomolecular interactions. Recent advances in nanofabrication, hybrid materials, and computational modeling have led to achievements like femtomolar detection limits and artificial intelligence (AI) optimization. Despite this, clinical translation remains limited. Fewer than 5% of reported LSPR biosensors have undergone multi-site validation, and none have regulatory approval for routine clinical use. This Perspective critically examines the current state and future directions of LSPR biosensors, with particular attention to whether novel strategies, including hybrid plasmonic architectures, plasmon–phonon and plasmon–exciton coupling, and AI integration, can bridge the translational gap. Quantitative performance data are consolidated, major knowledge gaps are identified, and the need to prioritize standardization, reproducibility, and clinical validation over minor sensitivity improvements is argued for achieving meaningful diagnostic impact.
- Open Access
- 3 July 2025
- Published by Wiley in Advanced Sensor Research
- Vol. 4 (9)
Compact Multichannel Plasmonic Device for Rapid and Versatile Inflammatory Biomarker Analysis
Plasmonic biosensors have demonstrated versatility across diverse applications, including clinical diagnostics, environmental monitoring, and food analysis. Multiplexed plasmonic biosensors capable of detecting multiple analytes simultaneously have also been developed. However, existing designs face challenges for wide‐scale adoption due to bulky designs and expense. A compact multichannel plasmonic biosensor platform is presented for multiplexed detection of up to four biomarkers from one sample distributed via microfluidic channels. The device operates under the Kretschmann configuration for sequential quasi‐simultaneous multichannel sensing. Optical performance evaluation demonstrates high sensitivity and a limit of detection (LOD) of 10⁻⁶ RIU across four channels. The biosensing capabilities of the device have been assessed for detecting four inflammatory biomarkers. Customized biofunctionalization of sensor chips ensures inter‐channel reproducibility and direct binding detection assays for C‐reactive protein (CRP), interleukin‐6 (IL‐6), procalcitonin (PCT), and pancreatic stone protein (PSP), with sensitivities in the low ng/mL range and negligible cross‐reactivity. Recovery testing confirms its feasibility for detecting multiple biomarkers at low concentrations in human serum. The compact, user‐friendly design makes this biosensor an attractive tool for multiplexed detection, underscoring its applicability beyond inflammatory‐related processes, offering a versatile solution for biomarker analysis in human fluids, and contributing to the decentralization of diagnostics for complex diseases.
- 3 July 2025
- Published by Wiley in Advanced Sensor Research
- Vol. 4 (9)
Open AccessCompact Multichannel Plasmonic Device for Rapid and Versatile Inflammatory Biomarker Analysis
Plasmonic biosensors have demonstrated versatility across diverse applications, including clinical diagnostics, environmental monitoring, and food analysis. Multiplexed plasmonic biosensors capable of detecting multiple analytes simultaneously have also been developed. However, existing designs face challenges for wide‐scale adoption due to bulky designs and expense. A compact multichannel plasmonic biosensor platform is presented for multiplexed detection of up to four biomarkers from one sample distributed via microfluidic channels. The device operates under the Kretschmann configuration for sequential quasi‐simultaneous multichannel sensing. Optical performance evaluation demonstrates high sensitivity and a limit of detection (LOD) of 10⁻⁶ RIU across four channels. The biosensing capabilities of the device have been assessed for detecting four inflammatory biomarkers. Customized biofunctionalization of sensor chips ensures inter‐channel reproducibility and direct binding detection assays for C‐reactive protein (CRP), interleukin‐6 (IL‐6), procalcitonin (PCT), and pancreatic stone protein (PSP), with sensitivities in the low ng/mL range and negligible cross‐reactivity. Recovery testing confirms its feasibility for detecting multiple biomarkers at low concentrations in human serum. The compact, user‐friendly design makes this biosensor an attractive tool for multiplexed detection, underscoring its applicability beyond inflammatory‐related processes, offering a versatile solution for biomarker analysis in human fluids, and contributing to the decentralization of diagnostics for complex diseases.
- Open Access
- 14 June 2022
- Published by Royal Society of Chemistry (RSC) in Sensors & Diagnostics
- Vol. 1 (5) , 983-993
Rapid and direct quantification of the SARS-CoV-2 virus with an ultrasensitive nanobody-based photonic nanosensor
The coronavirus (CoV) disease 2019 (COVID-19) is expected to become endemic in the coming years, meaning that the worldwide society shall be prepared to routinely manage the highly contagious respiratory SARS-CoV-2. A rapid and early diagnosis of the SARS-CoV-2 infection is crucial for controlling the spread of the disease, interrupting the transmission chain, and providing timely medical attention to patients. We introduce an innovative nanophotonic biosensor for the quantitative detection of viral particles in less than 20 minutes total assay time. The nanosensor, based on the bimodal waveguide (BiMW) interferometric technology, has been functionalized with novel bioengineered nanobodies (Nb) targeting the SARS-CoV-2 receptor-binding domain (RBD). Our approach relies on the direct capture of the viral particles, and the optimized methodology allows the detection of the SARS-CoV-2 virus with outstanding sensitivity, below 200 TCID50 per mL, being able to provide accurate viral load determination within a broad dynamic range (102–106 TCID50 per mL). Both the nanobodies and the sensor nanotechnology can be produced at a large scale with highly-efficient cost-effective procedures, and they are being integrated into a user-friendly point-of-care device for multiplexed and decentralized operation. The implementation of this unique biosensor in primary care assistance, hospitals, pharmacies, or private laboratories could greatly aid in the relief and descongestion of the sanitary systems and the clinical and social management of COVID-19.
- 14 June 2022
- Published by Royal Society of Chemistry (RSC) in Sensors & Diagnostics
- Vol. 1 (5) , 983-993
Open AccessRapid and direct quantification of the SARS-CoV-2 virus with an ultrasensitive nanobody-based photonic nanosensor
The coronavirus (CoV) disease 2019 (COVID-19) is expected to become endemic in the coming years, meaning that the worldwide society shall be prepared to routinely manage the highly contagious respiratory SARS-CoV-2. A rapid and early diagnosis of the SARS-CoV-2 infection is crucial for controlling the spread of the disease, interrupting the transmission chain, and providing timely medical attention to patients. We introduce an innovative nanophotonic biosensor for the quantitative detection of viral particles in less than 20 minutes total assay time. The nanosensor, based on the bimodal waveguide (BiMW) interferometric technology, has been functionalized with novel bioengineered nanobodies (Nb) targeting the SARS-CoV-2 receptor-binding domain (RBD). Our approach relies on the direct capture of the viral particles, and the optimized methodology allows the detection of the SARS-CoV-2 virus with outstanding sensitivity, below 200 TCID50 per mL, being able to provide accurate viral load determination within a broad dynamic range (102–106 TCID50 per mL). Both the nanobodies and the sensor nanotechnology can be produced at a large scale with highly-efficient cost-effective procedures, and they are being integrated into a user-friendly point-of-care device for multiplexed and decentralized operation. The implementation of this unique biosensor in primary care assistance, hospitals, pharmacies, or private laboratories could greatly aid in the relief and descongestion of the sanitary systems and the clinical and social management of COVID-19.
- Open Access
- 6 October 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Journal of Lightwave Technology
- Vol. 40 (1) , 237-244
Novel Sensing Algorithm for Linear Read-Out of Bimodal Waveguide Interferometric Biosensors
Biosensors employing photonics integrated circuits, and specifically those that rely on interferometric evanescent wave working principles, have outstanding performances due to the extreme sensitivity exhibited in one-step and direct assay, without the need of amplification. Within the interferometric configurations, the Bimodal Waveguide (BiMW) interferometric sensor stands out due to its demonstrated sensitivity for real-life applications and the simplicity of its design. To overcome the ambiguities that arise from the periodic nature of interferometric read-outs, a new all-optical modulation and the subsequent trigonometry-based algorithm have been proposed and applied to the BiMW biosensor. This new algorithm has been successfully employed for the selective identification and quantification of the external Spike (S) protein of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Our biosensing results from this simple, quick, and user-friendly method demonstrate high sensitivity and specificity and pave the way towards a point-of-care device for general use.
- 6 October 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Journal of Lightwave Technology
- Vol. 40 (1) , 237-244
Open AccessNovel Sensing Algorithm for Linear Read-Out of Bimodal Waveguide Interferometric Biosensors
Biosensors employing photonics integrated circuits, and specifically those that rely on interferometric evanescent wave working principles, have outstanding performances due to the extreme sensitivity exhibited in one-step and direct assay, without the need of amplification. Within the interferometric configurations, the Bimodal Waveguide (BiMW) interferometric sensor stands out due to its demonstrated sensitivity for real-life applications and the simplicity of its design. To overcome the ambiguities that arise from the periodic nature of interferometric read-outs, a new all-optical modulation and the subsequent trigonometry-based algorithm have been proposed and applied to the BiMW biosensor. This new algorithm has been successfully employed for the selective identification and quantification of the external Spike (S) protein of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Our biosensing results from this simple, quick, and user-friendly method demonstrate high sensitivity and specificity and pave the way towards a point-of-care device for general use.
- 1 April 2021
- Published by Elsevier in Analytica Chimica Acta
- Vol. 1152, 338276
Real-time monitoring of fenitrothion in water samples using a silicon nanophotonic biosensor
- 1 April 2021
- Published by Elsevier in Analytica Chimica Acta
- Vol. 1152, 338276
Real-time monitoring of fenitrothion in water samples using a silicon nanophotonic biosensor