SPECML-UV / Projects

Projects

Research in vibrational spectroscopy, computational modelling and clinical analysis.

2026 · EQC2025-009671-P

VLC-MICROIR

Plataforma multimodal de microscopía fototérmica infrarroja (O-PTIR) con resolución submicrométrica y detección simultánea Raman-Fluorescencia

Principal investigator
David Pérez-Guaita
Funding
€653,000
Programme
Adquisición de equipamiento científico-técnico, 2025
Funder
Ministerio de Ciencia, Innovación y Universidades, España

2026–2029 · AICO2026-128

DieTox

Assessment of dietary exposure to emerging natural toxins and estimation of the associated health risks

Principal investigators
David Pérez-Guaita and Olga Pardo
Funding
€60,000
Programme
Programa I+D+i 2026
Funder
Generalitat Valenciana, España

2024–2027 · PID2023-148947OB-I00

SimSpec

Estrategias In-Silico Para Aplicaciones Clínicas y Forenses de la Espectroscopía Vibracional

Principal investigator
David Pérez-Guaita
Funding
€112,000
Programme
Proyectos de Generación de Conocimiento 2023
Funder
Ministerio de Ciencia, Innovación y Universidades, España

The goal of this research line is to integrate simple sample processing strategies with infrared spectroscopy and machine learning to develop compact, cost-effective, and rapid analytical devices to provide biochemical information in clinical biofluids, mainly urine. The quantification of specific metabolites, proteins, and cells of this non-invasive biofluid is essential for the research, diagnosis, and prognosis of several disorders including Diabetic Kidney Disease (DKD), Urinary Tract Infections (UTI), Cronic Kidney Disease (CKD), bladder and prostate cancer.

2024–2026 · CNS2023-145528

e-Health in pharmacies

Development of an analytical platform for e-Health in pharmacies: vibrational spectroscopy of urine and ML for medical applications.

Principal investigator
David Pérez-Guaita
Funding
€200,000
Programme
Consolidación Investigadora
Funder
Ministerio de Ciencia, Innovación y Universidades, España

The goal of this research line is to integrate simple sample processing strategies with infrared spectroscopy and machine learning to develop compact, cost-effective, and rapid analytical devices to provide biochemical information in clinical biofluids, mainly urine. The quantification of specific metabolites, proteins, and cells of this non-invasive biofluid is essential for the research, diagnosis, and prognosis of several disorders including Diabetic Kidney Disease (DKD), Urinary Tract Infections (UTI), Cronic Kidney Disease (CKD), bladder and prostate cancer.

Clinical spectroscopy

NEFROIR

Desarrollo de un método Point-of-Care de cribado y control de la enfermedad renal crónica mediante espectroscopía infrarroja

Principal investigator
Ángel Sánchez-Illana
Funding
€60,000
Funder
Instituto de Salud Carlos III (ISCIII)

The goal of this research line is to integrate simple sample processing strategies with infrared spectroscopy and machine learning to develop compact, cost-effective, and rapid analytical devices to provide biochemical information in clinical biofluids, mainly urine. The quantification of specific metabolites, proteins, and cells of this non-invasive biofluid is essential for the research, diagnosis, and prognosis of several disorders including Diabetic Kidney Disease (DKD), Urinary Tract Infections (UTI), Cronic Kidney Disease (CKD), bladder and prostate cancer.