Katty Cabezas-Terán

Ms. Katty Cabezas-Terán

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 August 2024 in Processes
Verified
Journal Article
Open access
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KPKatherine Pazmiño
Katherine Pazmiño
KCKatty Cabezas-Terán
Katty Cabezas-Terán
DEDANIEL Echeverría
DANIEL Echeverría
MJMarcelo Fabián Cabrera Jara
Marcelo Fabián Cabrera Jara
Sebastian Taco-VasquezSebastian Taco-Vasquez
Sebastian Taco-Vasquez
The quality of fuel depends on its chemical composition, which influences engine performance. Gas chromatography, a cornerstone of global oil and fuel R&D, remains crucial for ensuring the quality of petroleum products and regulatory compliance. Scientists use the most accurate analysis (PIONA) as a tool derived from gas chromatography coupled with mass spectrometry to identify and quantify hydrocarbons that influence resistance to detonation, which is determined by the research octane number (RON). This study introduces the “average carbon number (ACN)”, calculated from the molar chemical composition of commercial gasoline samples sold in Ecuador (Extra gasoline and Súper gasoline). A quantitative comparison of the ACN with techniques applied using standardized international procedures reveals that the ACN characterizes gasoline samples by providing insight into the distribution shape of carbon graphs. A comprehensive statistical analysis demonstrates the potential usefulness of ACN in characterizing fuel composition, highlighting its relevance in broader fuel quality assessments without the need for carbon distribution plots.

29 July 2025 in Membranes
Verified
Journal Article
Open access
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MLMaría Augusta Páez Lara
María Augusta Páez Lara
MVMary Casa Villegas
Mary Casa Villegas
VNVanesa Naranjo
Vanesa Naranjo
NFNeyda Fernanda Espín Félix
Neyda Fernanda Espín Félix
KCKatty Cabezas-Terán
Katty Cabezas-Terán
Alfonsina Ester AndreattaAlfonsina Ester Andreatta
Alfonsina Ester Andreatta
Membrane technology is primarily used for the separation and purification of biotechnological products, which contain proteins and enzymes. Membrane fouling during crossflow filtration remains a significant challenge. This study aims to initially validate crossflow filtration models, particularly related to pore-blocking mechanisms, through a comparative analysis with dead-end filtration models. One crossflow microfiltration (MF) and six consecutive ultrafiltration (UF) stages were implemented to concentrate laccase extracts from Pleurotus ostreatus 202 fungi. The complete pore-blocking mechanism significantly impacts the MF, UF 1000, UF 100 and UF 10 stages, with the highest related filtration constant (KbF) estimated at 12.60 × 10−4 (m−1). Although the intermediate pore-blocking mechanism appears across all filtration stages, UF 100 is the most affected, with an associated filtration constant (KiF) of 16.70 (m−1). This trend is supported by the highest purification factor (6.95) and the presence of 65, 62 and 56 kDa laccases in the retentate. Standard pore blocking occurs at the end of filtration, only in the MF and UF 1000 stages, with filtration constants (KsF) of 29.83 (s−0.5m−0.5) and 31.17 (s−0.5m−0.5), respectively. The absence of cake formation and the volume of permeate recovered indicate that neither membrane was exposed to exhaustive fouling that could not be reversed by backwashing.