A5031435818- Advanced Chemical Sensor Technologies
- Spectroscopy and Chemometric Analyses
- Edible Oils Quality and Analysis
- Ionic liquids properties and applications
- Electrochemical Analysis and Applications
- Identification and Quantification in Food
- Fermentation and Sensory Analysis
- Analytical Chemistry and Sensors
- Gas Sensing Nanomaterials and Sensors
- Listeria monocytogenes in Food Safety
- Olfactory and Sensory Function Studies
- Higher Education and Sustainability
- Service-Learning and Community Engagement
- Essential Oils and Antimicrobial Activity
- Water Quality Monitoring and Analysis
- Horticultural and Viticultural Research
- Microbial Inactivation Methods
- Water Quality Monitoring Technologies
- Conducting polymers and applications
- Bee Products Chemical Analysis
- Thermodynamic properties of mixtures
- Spectroscopy Techniques in Biomedical and Chemical Research
- Computational Drug Discovery Methods
- Electrochemical sensors and biosensors
- Metabolomics and Mass Spectrometry Studies
Scintillon Institute
2018-2023
Allele Biotechnology (United States)
2022-2023
Universidad Complutense de Madrid
2013-2017
The use of molecularly modified Si nanowire field effect transistors (SiNW FETs) for selective detection in the liquid phase has been successfully demonstrated. In contrast, chemical species gas rather limited. this paper, we show that application artificial intelligence on deliberately controlled SiNW FET device parameters can provide high selectivity toward specific volatile organic compounds (VOCs). obtained allows identifying VOCs both single-component and multicomponent environments as...
Two of the biggest challenges in medicine today are need to detect diseases a noninvasive manner and differentiate between patients using single diagnostic tool. The current study targets these two by developing molecularly modified silicon nanowire field effect transistor (SiNW FET) showing its use detection classification many disease breathprints (lung cancer, gastric asthma, chronic obstructive pulmonary disease). fabricated SiNW FETs characterized optimized based on training set that...
An ambipolar poly(diketopyrrolopyrrole-terthiophene)-based field-effect transistor (FET) sensitively detects xylene isomers at low ppm levels with multiple sensing features. Combined pattern-recognition algorithms, a sole FET sensor, rather than arrays of sensors, can discriminate highly similar structural from one another. As service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed may be re-organized for...
Tuberculosis (TB) is an infectious disease that threatens >10 million people annually. Despite advances in TB diagnostics, patients continue to receive insufficient diagnosis as symptoms are not specific. Many existing biodiagnostic tests slow, have low clinical performance, and can be unsuitable for resource-limited settings. According the World Health Organization (WHO), a rapid, sputum-free, cost-effective triage test real-time detection of urgently needed. This article reports on new...
Statistical models have been used to estimate the refractive index of 72 imidazolium-based ionic liquids using electronic polarisability their ions as data for two different mathematical approaches: artificial neural networks, in form multi-layer perceptrons, and multiple linear regression models. Although networks able accomplish this task, perceptron model has shown be a more accurate method, thanks its ability determining non-linear relationships between dependent variables. Additionally,...
Multiple sclerosis (MS) is the most common chronic neurological disease affecting young adults. MS diagnosis based on clinical characteristics and confirmed by examination of cerebrospinal fluids (CSF) or magnetic resonance imaging (MRI) brain spinal cord both. However, neither current diagnostic procedures are adequate as a routine tool to determine state. Thus, biomarkers needed. In study, novel approach that could meet these expectations presented. The noninvasive analysis volatile...
Abstract Utilizing historical clinical datasets to guide future treatment choices is beneficial for patients and physicians. Machine learning feature selection algorithms (namely, Fisher’s discriminant ratio, Kruskal-Wallis’ analysis, Relief-F) have been combined in this research analyse a SEER database containing features from de-identified thyroid cancer patients. The data covered 34 unique variables such as patients’ age at diagnosis or information regarding lymph nodes, which were...
Mitochondrial aconitase (ACO2) is an essential enzyme that bridges the TCA cycle and lipid metabolism. However, its role in cancer development remains to be elucidated. The metabolic subtype of colorectal (CRC) was recently established. We investigated ACO2's potential CRC progression through mediating alterations.
Cancer cells prefer hyperglycolysis versus oxidative phosphorylation, even in the presence of oxygen. This phenomenon is used through FDG-PET scans, and may affect exhaled volatile signature. study investigates signature lung cancer (LC) before after an oral glucose tolerance test (OGTT) to determine if tumor cells' would Blood levels breath samples were analyzed OGTT, 90 min after, both LC patients controls. The was measured by proton transfer reaction mass spectrometry (PTR-MS). Twenty-two...
A wide variety of olive oil samples from different origins and types has been chemically analyzed as well evaluated by trained sensory panelists. Six chemical parameters have obtained for each sample (free fatty acids, peroxide value, two UV absorption (K232 K268), 1,2-diacylglycerol content, pyropheophytins) linked to their quality using an artificial neural network-based model. Herein, the nonlinear algorithms were used distinguish quality. Two methods defined assess statistical...
Discovering the volatile signature of cancer cells is an emerging approach in research, as it may contribute to a fast and simple diagnosis tumors vivo vitro. One main contributors such hyperglycolysis, which characterizes cancerous cell. The metabolic perturbation known Warburg effect; glycolysis preferred over oxidative phosphorylation (OXPHOS), even presence oxygen. precise mitochondrial alterations that underlie increased dependence on aerobic for energy generation have remained mystery....
In this research, the detection and quantification of adulterants in one most common varieties extra virgin olive oil (EVOO) have been successfully carried out. Visible absorption information was collected from binary mixtures Picual EVOO with four adulterants: refined oil, orujo sunflower corn oil. The data gathered spectra were used as input to create an artificial neural network (ANN) model. designed mathematical tool able detect type adulterant identification rate 96% quantify volume...
Chemical sensors based on programmable molecularly modified gold nanoparticles are tailored for the detection and discrimination between breathprint of irritable bowel syndrome (IBS) inflammatory diseases (IBD). The examined in both lab- real-world clinical conditions. results reveal a discriminative power accuracy 81% IBD IBS 75% Crohn's Colitis states.