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6 results on '"Florentina Zurita-Martínez"'

1. Plant Growth-Promoting and Tequila Vinasse-Resistant Bacterial Strains

Author

Alberto J. Valencia-Botín, Ismael F. Chávez-Díaz, Florentina Zurita-Martínez, Allan Tejeda-Ortega, and Lily X. Zelaya-Molina

Subjects
tequila vinasse, bacteria, bioremediation, Microbiology, QR1-502
Abstract

Tequila vinasse, a byproduct of the tequila industry, is frequently discharged into water bodies or agricultural fields, posing significant ecological and human health risks. Bacterial communities that inhabit these agricultural fields have developed mechanisms to utilize tequila vinasse as a potential nutrient source and to promote plant growth. In this study, strains from the phyla Actinomycetota and Pseudomonadota were isolated from agricultural fields irrigated with tequila vinasse for 2, 10, and 14 years in Jalisco, Mexico. The results showed that strains of Terrabacter, Azotobacter, Agromyces, Prescottella, and Leifsonia tolerate high concentrations of tequila vinasse and promote maize seedling growth in the presence of tequila vinasse. Additionally, some of the strains solubilize potassium and produce siderophores, cellulase, protease, lipase, and esterase. The strains Terrabacter sp. WCNS1C, Azotobacter sp. WCNS1D, and Azotobacter sp. WCNS2A have potential applications in the bioremediation of tequila vinasse in agricultural fields discharged with tequila vinasse.

Published
2024
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2. Assessment of Machine Learning Models for Remote Sensing of Water Quality in Lakes Cajititlán and Zapotlán, Jalisco—Mexico

Author

Freddy Hernán Villota-González, Belkis Sulbarán-Rangel, Florentina Zurita-Martínez, Kelly Joel Gurubel-Tun, and Virgilio Zúñiga-Grajeda

Subjects
machine learning algorithms, in situ water quality data, lakes, Landsat-8, Sentinel-2, Science
Abstract

Remote sensing has emerged as a promising tool for monitoring water quality (WQ) in aquatic ecosystems. This study evaluates the effectiveness of remote sensing in assessing WQ parameters in Cajititlán and Zapotlán lakes in the state of Jalisco, Mexico. Over time, these lakes have witnessed a significant decline in WQ, necessitating the adoption of advanced monitoring techniques. In this research, satellite-based remote sensing data were combined with ground-based measurements from the National Water Quality Monitoring Network of Mexico (RNMCA). These data sources were harnessed to train and evaluate the performance of six distinct categories of machine learning (ML) algorithms aimed at estimating WQ parameters with active spectral signals, including chlorophyll-a (Chl-a), turbidity, and total suspended solids (TSS). Various limitations were encountered during the study, primarily due to atmospheric conditions and cloud cover. These challenges affected both the quality and quantity of the data. However, these limitations were overcome through rigorous data preprocessing, the application of ML techniques designed for data-scarce scenarios, and extensive hyperparameter tuning. The superlearner algorithm (SLA), which leverages a combination of individual algorithms, and the multilayer perceptron (MLP), capable of handling complex and non-linear problems, outperformed others in terms of predictive accuracy. Notably, in Lake Cajititlán, these models provided the most accurate predictions for turbidity (r2 = 0.82, RMSE = 9.93 NTU, MAE = 7.69 NTU), Chl-a (r2 = 0.60, RMSE = 48.06 mg/m3, MAE = 37.98 mg/m3), and TSS (r2 = 0.68, RMSE = 13.42 mg/L, MAE = 10.36 mg/L) when using radiometric data from Landsat-8. In Lake Zapotlán, better predictive performance was observed for turbidity (r2 = 0.75, RMSE = 2.05 NTU, MAE = 1.10 NTU) and Chl-a (r2 = 0.71, RMSE = 6.16 mg/m3, MAE = 4.97 mg/m3) with Landsat-8 radiometric data, while TSS (r2 = 0.72, RMSE = 2.71 mg/L, MAE = 2.12 mg/L) improved when Sentinel-2 data were employed. While r2 values indicate that the models do not exhibit a perfect fit, those approaching unity suggest that the predictor variables offer valuable insights into the corresponding responses. Moreover, the model’s robustness could be enhanced by increasing the quantity and quality of input variables. Consequently, remote sensing emerges as a valuable tool to support the objectives of WQ monitoring systems.

Published
2023
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3. Changes in the nitrification-denitrification capacity of pilot-scale partially saturated vertical flow wetlands (with corncob in the free-drainage zone) after two years of operation

Author

Florentina Zurita Martínez and Del Toro Farías Aarón

Subjects
0106 biological sciences, Denitrification, Nitrogen, Wetland, Plant Science, 010501 environmental sciences, Corncob, 01 natural sciences, Waste Disposal, Fluid, Zea mays, Vertical flow, Environmental Chemistry, Drainage, 0105 earth and related environmental sciences, Biological Oxygen Demand Analysis, geography, geography.geographical_feature_category, Pilot scale, Environmental engineering, Partially saturated, Pollution, Nitrification, Biodegradation, Environmental, Wetlands, Environmental science, 010606 plant biology & botany
Abstract

This six-month study aimed to evaluate the removal of total nitrogen (TN) in two duplicated partially saturated (PS) vertical flow (VF) wetlands added with corncob in two different heights of the free-drainage zone (FDZ) after two years in operation. Both PS VF wetlands efficiently removed organic matter measured as biochemical oxygen demand (BOD

Published
2020

4. Optimization of DNA isolation and PCR protocol for analysis and evaluation of genetic diversity of the medicinal plant,Anemopsis californicausing RAPD

Author

Melesio Gutiérrez-Lomelí, C. Lizette Del-Toro-Sánchez, Florentina Zurita-Martínez, Araceli Rodríguez-Sahagún, S. Villaseñor-Alvarado, D. Rojas-Bravo, M. Isabel Torres-Morán, and Osvaldo A. Castellanos-Hernández

Subjects
Genetics, Genetic diversity, DNA, Plant, UPGMA, Genetic Variation, Biology, DNA extraction, General Biochemistry, Genetics and Molecular Biology, Random Amplified Polymorphic DNA Technique, RAPD, genomic DNA, Neurology, Saururaceae, Genetic variation, Genotype, Genetic variability, General Environmental Science
Abstract

Anemopsis californica is a perennial herbaceous plant that has been utilized as a medicinal plant for the treatment of various diseases. The present work was carried out with the objective of optimizing a method of extraction of the genomic DNA of A. californica and a PCR protocol and later to evaluate the existing genetic diversity among the genotypes deriving from different origins. For DNA extraction, we tested four procedures: with the CTA B-2 protocol, we obtained the highest yield (61.5±2.2 μg DNA/g of leaf tissues) and the best quality (A260/280 1.83±0.022). To estimate genetic variability, we utilized the randomly amplified polymorphism DNA (RAPD) technique, employing 20 oligonucleotides, of which only 18 generated reproducible banding patterns, producing 123 polymorphic bands generated, thus obtaining a polymorphism rate of 93.93% among the genotypes analyzed. The Jaccard similarity coefficient generated a variation ranging from 0.325-0.921, indicating a high level of genetic variation among the studied genotypes. An Unweighted pair-group method with arithmetic mean (UPGMA) group analysis indicated six distinct groups. The present optimized method for DNA isolation and RAPD protocol may serve as an efficient tool for further molecular studies.

Published
2013
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5. Efficient protocols for in vitro axillary bud proliferation and somatic embryogenesis of the medicinal plant Anemopsis californica

Author

Carmen L. Del Toro-Sánchez, Melesio Gutiérrez-Lomelí, Daniel Rojas-Bravo, Gustavo Acevedo-Hernández, Araceli Rodríguez-Sahagún, Florentina Zurita-Martínez, Osvaldo A. Castellanos-Hernández, and Martha Isabel Torres-Morán

Subjects
Pharmacology, biology, Somatic embryogenesis, fungi, food and beverages, Pharmaceutical Science, Embryo, Plant Science, biology.organism_classification, chemistry.chemical_compound, Anemopsis, Complementary and alternative medicine, chemistry, Axillary bud, Drug Discovery, Shoot, Botany, Kinetin, Axenic, Explant culture
Abstract

Anemopsis californica, commonly known as yerba mansa, is an important medicinal plant that has traditionally been used to treat a variety of digestive, respiratory and skin ailments, and has been reported to possess anticancer properties. The increase in demand for this medicinal plant puts wild populations at risk due to over-harvesting; therefore, the development of alternatives such as in vitro propagation may help reduce this pressure on natural plant resources. The aim of this work was to develop protocols for the in vitropropagation of A. californica through axillary bud proliferation and somatic embryogenesis. Shoot bud multiplication was achieved using nodal explants from axenic seedlings, reaching the highest multiplication rate (on average 15 shoots per explant) when the culture medium was supplemented with 4 mg/L kinetin. Propagated shoots produced roots in medium containing 1 mg/L indole-3-butyric acid. Best induction of somatic embryogenesis (on average 19.75 embryos per explant) was obtained from leaf explants cultured on medium supplemented with 4 mg/L naphthalene acetic acid. These protocols may be used either for the commercial mass propagation of the species, studies on the production of secondary metabolites or as a basis for the development of genetic improvement strategies. Key words: Multiple shoot proliferation, regeneration of embryos, plant growth regulators,yerba mansa.

Published
2012
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6. El tratamiento de las aguas residuales municipales en las comunidades rurales de México

Author

Florentina Zurita-Martínez, Osvaldo Castellanos-Hernandez, and Araceli Rodríguez-Sahagún

Subjects
Lagunas de estabilización, Agrociencias, sistemas naturales de tratamiento, saneamiento, humedales artificiales
Abstract

Recientemente se han hecho esfuerzos, por incrementar la cobertura de plantas de tratamiento de aguas residuales municipales en México; sin embargo, estos esfuerzos se han enfocado principalmente en las comunidades urbanas. Para el tratamiento de aguas residuales municipales, existen diversas tecnologías que van desde las altamente mecanizadas y costosas, hasta las tecnologías relativamente simples y de bajo costo. El objetivo de este trabajo, es investigar el estado actual del tratamiento de las aguas residuales municipales en las comunidades rurales en México, así como discutir cuáles son las barreras y retos que se deben superar, para incrementar la cobertura de plantas de tratamiento. En la mayoría de los estados, se está dejando de atender las pequeñas comunidades rurales de menos de 2 500 habitantes, en especial aquellas 47 233 localidades con 100-2 499 habitantes, en donde es factible instalar plantas de tratamiento. En las zonas rurales se ha dado prioridad a la cobertura de agua potable y los servicios de alcantarillado, lo que ha incrementado el volumen de aguas residuales municipales. Los sistemas de tratamiento que más se emplean en las comunidades rurales, que cuentan con plantas de tratamiento de aguas residuales municipales, son las lagunas de estabilización y los humedales artificiales precedidos de sedimentación o fosa séptica. Mientras que las lagunas de estabilización son bastante comunes en México, los humedales artificiales enfrentan algunas barreras, que han evitado su implementación en forma masiva; por el poco conocimiento de esta tecnología y la falta de diseños accesibles a los usuarios directos.

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