5 results on '"Medina, Hector E."'
Search Results
2. Identification of Plant Peroxidases Catalyzing the Degradation of Fluorinated Aromatics Using a Peroxidase Library Approach.
- Author
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Ware, Ashton, Hess, Sally, Gligor, David, Numer, Sierra, Gregory, Jack, Farmer, Carson, Raner, Gregory M., and Medina, Hector E.
- Subjects
BUTTERNUT squash ,BIOCHEMICAL substrates ,PLANT identification ,CATALYTIC activity ,AROMATIC compounds - Abstract
In this work, the degradation of mono‐ and polyfluorinated phenolic compounds was demonstrated by a series of crude plant peroxidases, including horseradish root (HRP) and six members of the Cucurbita genus. Highly active samples were identified using a library screening approach in which more than 50 crude plant samples were initially evaluated for defluorination activity toward 4‐fluorophenol. The highest concentrations were observed in the HRP, pumpkin skin (PKS), and butternut squash skin (BNS), which consistently gave the highest intrinsic rates of decomposition for all the substrates tested. Although HRP exhibited a significant decrease in activity with increased fluorination of the phenolic substrate, PKS showed only minor reductions. Furthermore, in silico studies indicated that the active site of HRP poorly accommodates the steric bulk of additional fluorines, causing the substrate to dock farther from the catalytic heme and thus slowing the catalysis rate. We propose that the PKS active site might be larger, allowing closer access to the perfluorinated substrate, and therefore maintaining higher activity compared to the HRP enzyme. However, detailed kinetic characterization studies of the peroxidases are recommended. Conclusively, the high catalytic activity of PKS and its high yield per gram of tissue make it an excellent candidate for developing environmentally friendly biocatalytic methods for degrading fluorinated aromatics. Finally, the success of the library approach in identifying highly active samples for polyfluorinated aromatic compound (PFAC) degradation suggests the method may find utility in the quest for other advanced catalysts for PFAS degradation. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
3. Climate change expected to improve digestive rate and trigger range expansion in outbreaking locusts.
- Author
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Youngblood, Jacob P., Cease, Arianne J., Talal, Stav, Copa, Fernando, Medina, Hector E., Rojas, Julio E., Trumper, Eduardo V., Angilletta, Michael J., and Harrison, Jon F.
- Subjects
LOCUSTS ,INDEPENDENT variables ,CROP losses ,CURRENT distribution ,AGRICULTURAL pests ,CLIMATE change - Abstract
Global climate change will probably exacerbate crop losses from insect pests, reducing agricultural production, and threatening food security. To predict where crop losses will occur, scientists have mainly used correlative models of species' distributions, but such models are unreliable when extrapolated to future environments. To minimize extrapolation, we developed mechanistic and hybrid models that explicitly capture range‐limiting processes, and we explored how incorporating mechanisms altered the projected impacts of climate change for an agricultural pest, the South American locust (Schistocerca cancellata). Because locusts are generalist herbivores surrounded by food, their population growth may be limited by thermal effects on digestion more than food availability. To incorporate this mechanism into a distribution model, we measured the thermal effects on the consumption and defecation of field‐captured locusts and used these data to model energy gain in current and future climates. We then created hybrid models by using outputs of the mechanistic model as predictor variables in correlative models, estimating the potential distribution of gregarious outbreaking locusts based on multiple predictor sets, modeling algorithms, and climate scenarios. Based on the mechanistic model, locusts can assimilate relatively high amounts of energy throughout temperate and tropical South America; however, correlative and hybrid modeling revealed that most tropical areas are unsuitable for locusts. When estimating current distributions, the top‐ranked model was always the one fit with mechanistic predictors (i.e., the hybrid model). When projected to future climates, top‐ranked hybrid models projected range expansions that were 23%–30% points smaller than those projected by correlative models. Therefore, a combination of the correlative and mechanistic approaches bracketed the potential outcomes of climate change and enhanced confidence where model projections agreed. Because all models projected a poleward range expansion under climate change, agriculturists should consider enhanced monitoring and the management of locusts near the southern margin of the range. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
4. Plant carbohydrate content limits performance and lipid accumulation of an outbreaking herbivore.
- Author
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Talal, Stav, Cease, Arianne J., Youngblood, Jacob P., Farington, Ruth, Trumper, Eduardo V., Medina, Hector E., Rojas, Julio E., Copa, A. Fernando, and Harrison, Jon F.
- Subjects
CARBOHYDRATE content of plants ,CARBOHYDRATE content of food ,SURVIVAL analysis (Biometry) ,HERBIVORES ,FOREST conversion ,LIPIDS - Abstract
Locusts are major intermittent threats to food security and the ecological factors determining where and when these occur remain poorly understood. For many herbivores, obtaining adequate protein from plants is a key challenge. We tested how the dietary protein : non-structural carbohydrate ratio (p : c) affects the developmental and physiological performance of 4th-5th instar nymphs of the South American locust, Schistocerca cancellata, which has recently resurged in Argentina, Bolivia and Paraguay. Field marching locusts preferred to feed on high carbohydrate foods. Field-collected juveniles transferred to the laboratory selected artificial diets or local plants with low p : c. On single artificial diets, survival rate increased as foods became more carbohydrate-biased. On single local plants, growth only occurred on the plant with the lowest p : c. Most local plants had p : c ratios substantially higher than optimal, demonstrating that field marching locusts must search for adequate carbohydrate or their survival and growth will be carbohydrate- limited. Total body lipids increased as dietary p : c decreased on both artificial and plant diets, and the low lipid contents of field-collected nymphs suggest that obtaining adequate carbohydrate may pose a strong limitation on migration for S. cancellata. Anthropogenic influences such as conversions of forests to pastures, may increase carbohydrate availability and promote outbreaks and migration of some locusts. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
5. NOVEL VISUAL ALGORITHM TO TEACH BENEFIT-COST RATIO ANALYSIS.
- Author
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Medina, Hector E. and Ceffaratti, Kyle Michael
- Subjects
ECONOMIC research ,ENGINEERING education ,ALGORITHMS ,COLLEGE freshmen ,COLLEGE students - Abstract
It is well known that the benefit-cost ratio (BCR) incremental analysis is the most used technique for economic analysis and decision making in the public sector. That is precisely one of the reasons why it is usually taught within engineering economic analysis courses at the undergraduate level. However, often times, freshmen and sophomore students find traditional incremental-analysis algorithms long and tedious, mostly when dealing with four or more alternatives. Moreover, even those who appear to grasp the steps more easily tend to show low levels of retention. Visual pedagogical techniques could facilitate the teaching/learning experience of BCR incremental analysis, while improving the level of retention over time. It has been established that visual approaches can help accomplish both of the aforementioned goals. With this intention in mind, we have derived a novel, simple, and purely-visual algorithm to select the best of many alternatives using the BCR analysis, with the advantage of avoiding the almost-purely-verbal route of traditional incremental analysis. In our approach, BCR values for all alternatives are plotted on a 2-dimensional, 3-axis diagram: two parallel and one perpendicular coordinates. The best alternative is selected by the maximum vertical or perpendicular distance from the points to the incline BCR=1. Results and analysis of experiments carried out to compare students' preference and performance using the traditional verbal approach versus our novel visual algorithm are presented. The proposed algorithm has been preferred by a cohort of engineering economic analysis freshmen students. Further experiments are currently being carried out to assess retention and ratify present results. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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