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Universidad Tecnica Particular de Loja


Genetic analysis reveals that some specialty coffee seeds do not match their commercial identity

Researchers found discrepancies in two out of four morphotypes of plants grown from Sidra and Gesha seeds, highlighting the importance of genetic and morphological verification in specialty coffee. The study underscores the need for accessible identification tools and certification systems for producers.

SourceUniversidad Tecnica Particular de Loja·JournalFrontiers in Plant Science·TypeCase study·DateOct 8, 2026

A machine learning model distinguishes levels of psychological resilience in healthcare workers with 75% accuracy

A machine learning model accurately predicted healthcare workers' psychological resilience with 75% accuracy during the COVID-19 pandemic. The study identified stress, anxiety, and depression as key factors weakening resilience, while coping strategies like social support and meditation were associated with greater resilience.

SourceUniversidad Tecnica Particular de Loja·JournalDiscover Artificial Intelligence·TypeData/statistical analysis·DateSep 18, 2026

Cultural adaptation strengthens cardiovascular disease and diabetes prevention strategies in Latin America

A 16-week intervention reduced systolic blood pressure by 3.3 mmHg among high-risk workers in Loja, Ecuador. The culturally adapted program showed decreases in body fat and waist circumference, but did not demonstrate significant benefits on diabetes risk or weight loss.

SourceUniversidad Tecnica Particular de Loja·JournalTranslational Behavioral Medicine·TypeExperimental study·DateSep 14, 2026

Light and nanomaterials could offer a new route for detecting metal contamination in water

A new sensor technology uses light and nanomaterials to detect metal contamination in water, offering a promising alternative to current methods. The sensor combines borosilicate glass, aluminum, aluminum oxide, and graphene oxide to detect subtle optical changes associated with mercury, lead, and zinc in water.

SourceUniversidad Tecnica Particular de Loja·JournalElectron·TypeComputational simulation/modeling·DateSep 14, 2026