A5008756415- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Metabolomics and Mass Spectrometry Studies
- Meat and Animal Product Quality
- Analytical Chemistry and Chromatography
- Nutrition and Health in Aging
- Water Quality Monitoring and Analysis
- Fermentation and Sensory Analysis
- Gut microbiota and health
- Cultural Heritage Materials Analysis
- Fault Detection and Control Systems
- Identification and Quantification in Food
- Edible Oils Quality and Analysis
- Frailty in Older Adults
- Bee Products Chemical Analysis
- Phytochemicals and Antioxidant Activities
- Food composition and properties
- Essential Oils and Antimicrobial Activity
- Building materials and conservation
- Neural Networks and Applications
- Computational Drug Discovery Methods
- Diet and metabolism studies
- Toxic Organic Pollutants Impact
- Mass Spectrometry Techniques and Applications
Sapienza University of Rome
2016-2025
Stellenbosch University
2018-2024
University Medical Center of the Johannes Gutenberg University Mainz
2022
Johannes Gutenberg University Mainz
2022
University of Florence
2020
University of Florida
2018
Università Cattolica del Sacro Cuore
2018
Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico
2018
Agostino Gemelli University Polyclinic
2018
Molina Center for Energy and the Environment
2015
Data generated by analytical instruments, such as spectrometers, may contain unwanted variation due to measurement mode, sample state and other external physical, chemical environmental factors. Preprocessing is required so that the property of interest can be predicted correctly. Different correction methods remove specific types artefacts while still leaving some effects behind. Using multiple preprocessing in a complementary way would left behind using only one technique. This article...
Abstract Background Despite the efficacy of immune checkpoint inhibitors (ICIs) only 20–30% treated patients present long term benefits. The metabolic changes occurring in gut microbiota metabolome are herein proposed as a factor potentially influencing response to immunotherapy. Methods metabolomic profiling was characterized 11 affected by non-small cell lung cancer (NSCLC) with nivolumab second-line treatment anti-PD-1 nivolumab. metabolomics analyses were performed GC–MS/SPME and 1 H-NMR...
In recent years, multi-modal measurements of process and product properties have become widely popular. Sometimes classical chemometric methods such as principal component analysis (PCA) partial least squares regression (PLS) are not adequate to analyze this kind data. several multi-block emerged for purpose; however, their use is largely limited chemometricians, non-experts little experience with methods. order deal this, the present review provides a brief overview data concept, various...
Deep learning (DL) is emerging as a new tool to model spectral data acquired in analytical experiments. Although applications are flourishing, there also much interest currently observed the scientific community on use of DL for modelling. This paper provides critical and comprehensive review major benefits, potential pitfalls, current tecnhiques used this work focuses modelling near-infrared (NIR) chemometric tasks, many findings can be expanded cover other techniques. Finally, empirical...
A novel strategy for the qualitative analysis of carbohydrates is developed, utilizing a direct catalytic fuel cell (DCFC) as sensor, combined with chemometric tools processing resulting response curves. Specifically, carbohydrate solutions were incubated yeast to produce alcohol, and corresponding current decay trends measured using designed ethanol detection. Multiple data approaches then evaluated. Initially, entire set points from curves was analyzed principal component (PCA). To reduce...
Physical frailty and sarcopenia (PF&S) share multisystem derangements, including variations in circulating amino acids chronic low-grade inflammation. Gut microbiota balances inflammatory responses several conditions according to nutritional status. Therefore, an altered gut-muscle crosstalk has been hypothesized PF&S. We analyzed the gut microbial taxa, systemic inflammation, metabolic characteristics of older adults with without An innovative multi-marker analytical approach was applied...
Systemic inflammation and mitochondrial dysfunction are involved in neurodegeneration Parkinson’s disease (PD). Extracellular vesicle (EV) trafficking may link dysfunction. In the present study, circulating small EVs (sEVs) from 16 older adults with PD 12 non-PD controls were purified characterized. A panel of serum inflammatory biomolecules was measured by multiplex immunoassay. Protein levels three tetraspanins (CD9, CD63, CD81) selected markers (adenosine triphosphate 5A (ATP5A),...
Background Cystic fibrosis (CF) is a disorder affecting the respiratory, digestive, reproductive systems and sweat glands. This lethal hereditary disease has known or suspected links to dysbiosis gut microbiota. High-throughput meta-omics-based approaches may assist in unveiling this complex network of symbiosis modifications. Objectives The aim study was provide predictive functional model microbiota enterophenotype pediatric patients affected by CF under clinical stability. Methods...
Physical frailty and sarcopenia (PF&S) are hallmarks of aging that share a common pathogenic background. Perturbations in protein/amino acid metabolism may play role the development PF&S. In this initial report, 68 community-dwellers aged 70 years older, 38 with PF&S 30 non-sarcopenic, non-frail controls (nonPF&S), were enrolled as part “BIOmarkers associated Sarcopenia EldeRly pErsons” (BIOSPHERE) study. A panel 37 serum amino acids derivatives was assayed by UPLC-MS....