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Chitosan Nanoparticles as Biostimulant in Lettuce (Lactuca sativa L.) Plants

Phyton-International Journal of Experimental Botany 2024年第4期93卷 777-787页

作者： Silvia C.Ramírez-Rodríguez pablo Preciado-rangel Marcelino Cabrera-De La Fuente Susana González-Morales Hortensia Ortega-Ortiz Tecnológico Nacional de México Instituto Tecnológico de TorreónEjido AnaTorreónCoahuila27170México Departamento de Horticultura Universidad Autónoma Agraria Antonio NarroSaltillo25315México Departamento de Materiales Avanzados Centro de Investigación en Química AplicadaSaltilloCoahuila25294México

Biodegradable nanoparticles such as chitosan nanoparticles (CSNPs) are used in sustainable agriculture since theyavoid damage to the environment;CSNPs have positive effects such as the accumulation of bioactive compoundsand increased productivity in plants. This study aimed to investigate the impact of applying CSNPs on lettuce,specifically focusing on enzymatic activity, bioactive compounds, and yield. The trial was conducted using a completelyrandomized design, incorporating CSNPs: 0, 0.05, 0.1, 0.2, 0.4, and 0.8 mg mL−1. The doses of 0.4 mg mL−1improve yields up to 24.6% increases and 0.1 mg mL−1 of CSNPs increases total phenols by 31.2% and antioxidantcapacity by 34.6%. In addition, when low concentrations of CSNPs (0.05 and 0.1 mg L−1) were applied, anincrease in catalase was determined. The CSNPs represent a good alternative to be used as a biostimulant in sustainableagriculture because they improve the yield and quality of lettuce by increasing the bioactive compounds.

关键词： Biostimulant bioactive compounds enzymatic activity

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A mathematical Model to Predict Transition-to-Fatigue During Isometric Exercise on Muscles of the Lower Extremities

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Engineering（科研） 2012年第10期4卷 16-19页

作者： Jorge Garza-Ulloa Huiying Yu T. Sarkodie- Gyan pablo rangel Olatunde Adeoye Noe Vargas Hernandez Department of Electrical and Computer Engineering UTEP El Paso Texas USA Mechanical Engineering Department UTEP El Paso Texas USA

Surface Electromyography (sEMG) activities of the four muscles were studied from twelve healthy subjects to analyze muscle fatigue. Data were recorded while subjects performed isometric exercises for a period of time until fatigue. The signal was segmented with 5000 samples to enable the evolutionary process. Based on the mean power spectrum and Median Frequency (MDF) of each segment, we developed a methodology that is able to detect the signal into a meaningful sequence of Non-Fatigue to Transition-to-Fatigue. By identifying this transitional fatigue stage, it is possible to predict when fatigue will occur, which provides the foundation of the automated system that has the potential to aid in many applications of our lives, including sports, rehabilitation and ergonomics.

关键词： Surface Electromyography Transition-to-Fatigue Signal Processing Median Frequency and Power Spectrum Polynomial Regression Models

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Construction and Characterization of Dye-Sensitized Solar Cells

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材料科学与工程（中英文B版） 2013年第8期3卷 535-538页

作者： pablo Cesar Carbo Vela Enrique Martinez Pena Juan Lopez Hemandez Eddie Nahflm Armendariz Mireles Jose Amparo Rodriguez Garcia Enrique Rocha rangel Polytechnic University of Victory Victoria City Tamaulipas 87138 Mexico

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