Artículos con filiación institucional UNACH en revistas indexadas en Scopus, Web of Science y SciELO
Permanent URI for this collectionhttps://repositorio.unach.edu.pe/handle/20.500.14142/667
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Item Digital Social Influence and Its Impact on the Attitude of Organic Product Consumers(Multidisciplinary Digital Publishing Institute, 2025-08) García-Roldán, Geovanna; Carrión-Bósquez, Nelson; García-Umaña, Andrés; Ortiz-Regalado, Oscar; Medina-Miranda, Santiago; Marchena-Chanduvi, Rubén; Llamo-Burga, Mary; López-Pastén, Ignacio; Veas-González, IvánSocial media has become a tool that exerts a significant influence on consumer behavior. In this sense, this study aims to identify whether digital social influence derived from the informational nature of social media content and online member group support influences the subjective norms and environmental attitudes of organic product consumers. This study was developed using a quantitative, correlational, and cross-sectional design. A total of 371 organic product consumers participated in the study, who were administered a questionnaire consisting of 17 questions measured on a 5-point Likert scale. Statistical analysis was performed using SPSS 24 and Smart PLS, and convergent validity, discriminant validity, and structural equation modeling were applied. The results of the study identified that environmental attitudes continue to be a highly influential factor in organic product purchasing behaviors and that these attitudes are shaped by subjective norms and digital social influencers, such as social media content and online member support groups. Furthermore, the study found that subjective norms mediate the relationship between environmental attitudes and social media content as well as online member support groups. Beyond contributing to the theoretical understanding of environmental attitudes, this study offers practical insights into designing digital marketing strategies that leverage social influence to promote sustainable consumption, particularly in emerging markets.Item Dielectric spectroscopy for the prediction of pork quality during the post-mortem time(Elsevier, 2025-08) Chuquizuta Trigoso, Tony Steven; Peralta, Magaly; Medina, Sideli; Arteaga, Hubert; Oblitas, Jimy; Chavez, Segundo G.; Castro, Wilson Manuel; Castro-Giraldez, Marta; Fito, Pedro JuanDielectric spectroscopy was used in this study to predict and classify pork quality during the post-mortem time. Eighty ~1 kg- longissimus dorsi muscles were collected and stored at 4 ± 1 ◦C and pH, instrumental color, and dielectric properties (ε’ and ε’’) were subsequently determined in the microwave range (0.5–9 GHz) at 3, 4, 5, 6, 7, 8, 9, 10 and 24 h post-mortem (hpm), as well as moisture at 8 hpm and drip weight loss at 24 hpm. Of the 80 pork samples, two types of meat were found. RFN (33) and DFD (47) between males and females. Quality parameters: RFN (pH=5.708–5.714; L*=43.341–43.692; moisture (%) = 68.857–69.604; drip loss = 1.655–1.833) and DFD (pH=6.154–6.177; L*=40.152–41.91; moisture (%) = 69.032–69.9; drip loss = 1.129–1.693). Quality parameter predictions during muscle-to-meat transformation showed R² of 0.743 (pH), 0.811 (L*) and 0.603 (C*) for DFD meats with PLSR (full) and R2 of 0.359 (pH), 0.558 (L*) and 0.284 (C*) for RNF meats with PLSR (optimized) from male pigs. R2 cv of 0.412–0.637 for pH, L* and c* for RFN and DFD meats from female pigs with PLSR (optimized). Dielectric spectroscopy predicts pork quality moderately well, but models that are more robust are needed to improve predictions of internal pork quality.Item Thermodynamic model and infrared thermography monitoring system for convective drying of goldenberry (Physalis peruviana)(Elsevier, 2025-08) Chuquizuta Trigoso, Thony Steven; Castro, W.; Castro-Giraldez, Martha; Fito, Pedro J.The goldenberry (Physalis peruviana) is a highly perishable Andean fruit with valuable nutritional and functional properties. Its preservation poses a challenge due to its high moisture content. This study presents an integrated method combining infrared thermography (IR) and irreversible thermodynamics to characterize the convective drying process of goldenberry.Samples were dried at 60 ◦C and 1.0 m/s air velocity. Weight loss, surface temperature, and water activity were recorded over 13 h using thermocouples, precision balances, and IR imaging. An irreversible thermodynamic model was applied to estimate water flux, free energy changes, and chemical potential gradients, including mechanical energy effects. The phenomenological coefficient from Onsager’s relation was correlated with water flux to describe internal water migration. IR thermography enabled real-time, non-invasive monitoring of temperature and emissivity, correlating with morphological changes during drying. Sorption isotherms were fitted using the GAB model, and thermodynamic analysis allowed separation of physical and mechanical contributions to water potential. This approach provides a deeper understanding of moisture transport during drying and demonstrates the usefulness of combining IR monitoring with thermodynamic modeling. It offers a promising tool for optimizing drying protocols in high-moisture tropical fruits like goldenberry
