Pedro Catalão Moura
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Invited Assistant Professor
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About
Pedro Catalão Moura is an Invited Assistant Professor at NOVA School of Science and Technology, NOVA University of Lisbon. His research areas include the development and application of thin-film sensors, gas detection methodologies, and the analysis of breath biomarkers for health monitoring. Recent publications highlight advancements in sensor technology and diagnostic strategies for various diseases through volatile organic compounds. He contributes to interdisciplinary approaches that integrate physics, medicine, and environmental science.
Recent Grants
Grant: Open
Detector for the assessment of biogenic amines in alimentary products
Open Date: 2026-01-01
Close Date: 2026-12-01
Grant: Open
Sensing device for the assessment of volatile organic compounds responsible for triggering extreme wildfires
Open Date: 2026-01-01
Close Date: 2026-12-01
Grant: Close
VUV Characterization of molecules known as biomarkers for their potential as diagnostic biomarkers for breast and gastric cancers
Open Date: 2025-01-01
Close Date: 2025-01-01
Grant: Close
PG2CRM- Phosphogypsum processing to critical materials / NOVA.id.FCT
Open Date: 2024-01-01
Close Date:
Grant: Close
Development of methodology for automatic on-line monitoring of VOCs in an automotive plant and direct evaluation of its impact on employees
Open Date: 2019-01-01
Close Date: 2024-01-01
Articles (10)
Year:
2025
Year:
2025
Year:
2024
Year:
2024
Year:
2024
Year:
2024
The assessment of volatile breath biomarkers has been targeted with a lot of interest by the scientific and medical communities during the past decades due to their suitability for an accurate, painless, non-invasive, and rapid diagnosis of health states and pathological conditions. This paper reviews the most relevant bibliographic sources aiming to gather the most pertinent volatile organic compounds (VOCs) already identified as putative cancer biomarkers. Here, a total of 265 VOCs and the respective bibliographic sources are addressed regarding their scientifically proven suitability to diagnose a total of six carcinogenic diseases, namely lung, breast, gastric, colorectal, prostate, and squamous cell (oesophageal and laryngeal) cancers. In addition, future trends in the identification of five other forms of cancer, such as bladder, liver, ovarian, pancreatic, and thyroid cancer, through perspective volatile breath biomarkers are equally presented and discussed. All the results already achieved in the detection, identification, and quantification of endogenous metabolites produced by all kinds of normal and abnormal processes in the human body denote a promising and auspicious future for this alternative diagnostic tool, whose future passes by the development and employment of newer and more accurate collection and analysis techniques, and the certification for utilisation in real clinical scenarios.
Year:
2023
The employment of advanced analytical techniques and instrumentation enables the tracing of volatile organic compounds (VOCs) in vestigial concentrations (ppbv-pptv range) for several emerging applications, such as the research of disease biomarkers in exhaled air, the detection of metabolites in several biological processes, and the detection of pollutants for air quality control. In this scope, the storage of gaseous samples is crucial for preserving the integrity and stability of the collected set of analytes. This study aims to assess the suitability of three commercially available syringes as air containers (AC) that are commonly used for the collection, storage, isolation, and transportation of samples: glass syringes with glass plungers (AC1), and two plastic syringes, one with plastic plungers (AC2), and one with rubbered plungers (AC3). For this purpose, 99 air samples with different times of storage (from 10 min to 24 h) were analyzed using a Gas Chromatography—Ion Mobility Spectrometry device and the degradation of the samples was properly assessed by comparing the changes in the VOCs’ emission profiles. The quality of the method was assured by via the measurement of the blank’s spectra before each experimental run, as well as by the consecutive measurement of the three replicates for each sample. A statistical analysis of the changes in the VOCs’ emission patterns was performed using principal component analysis (PCA). The results, with a total explained variance of 93.61%, indicate that AC3 is the most suitable option for the long-term storage of air samples. Thus, AC3 containers demonstrated a higher capacity to preserve the stability and integrity of the analytes compared to AC1 and AC2. The findings of the short-term effects analysis, up to 1 h, confirm the suitability of all analyzed syringe-based containers for sample-transferring purposes in onsite analysis.
Year:
2023
Year:
2023
Year:
2023
Collaborators (5)
Maria Fino
Universidade de Aveiro
Maria Raposo
NOVA University of Lisbon
Valentina Vassilenko
NOVA University of Lisbon
Susana Sério
Assistant Professor
Faculdade de Ciências da Universidade de Lisboa
CARLOS RUIZ CANOVAS
Associate Professor
Universidad de Huelva
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