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14 pages, 825 KB  
Article
Insecticidal Activity of Eco-Extracted Holopelagic Sargassum Against the Whitefly Bemisia tabaci Infesting Tomato Crops
by Chirelle Jabbour, Béatrice Rhino, Chloé Corbanini, Jean-Pascal Bergé, Kevin Hardouin and Nathalie Bourgougnon
Phycology 2025, 5(4), 79; https://doi.org/10.3390/phycology5040079 - 1 Dec 2025
Viewed by 1027
Abstract
Massive strandings of holopelagic Sargassum cause major ecological and economic problems, but its conversion into bioproducts offers a sustainable alternative. This study assessed the potential of holopelagic Sargassum (S. fluitans and S. natans) collected in the Caribbean as ecofriendly insecticides against [...] Read more.
Massive strandings of holopelagic Sargassum cause major ecological and economic problems, but its conversion into bioproducts offers a sustainable alternative. This study assessed the potential of holopelagic Sargassum (S. fluitans and S. natans) collected in the Caribbean as ecofriendly insecticides against the whitefly Bemisia tabaci, a major pest of tomato crops. Extracts were produced using green methods: ultrasound-assisted extraction (UAE) and ultrasound-assisted enzymatic hydrolysis (UAEH) with enzymes cocktails. Biochemical analyses revealed high mineral and polysaccharide contents, varying with the extraction technique. Extracts were tested at 1–6% (w/v) using clip-cage (adults) and leaf-dip (eggs) methods. All extracts reduced adult survival, with UAE and UAEH-P/C extracts achieving over 50% mortality at ≥4% concentration after 48 h (LD50: 3.9–4.5%). Egg mortality was significant only with UAE and UAEH-P extracts at 6% (LD50: 1.9–2.8%). These results suggest insecticidal activity through both ingestion and cuticle/embryo disruption. Although enzymatic extraction did not markedly enhance biochemical yields, extracts showed, for the first time, promising biocidal and ovicidal properties. This research highlights holopelagic Sargassum as a renewable source of natural insecticidal compounds, supporting sustainable management of both invasive algal biomass and agricultural pests. Full article
(This article belongs to the Special Issue Development of Algal Biotechnology)
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21 pages, 2078 KB  
Article
Semi-Automatic System for ZnO Nanoflakes Synthesis via Electrodeposition Using Bioinspired Neuro-Fuzzy Control
by Yazmín Mariela Hernández-Rodríguez, Yunia Veronica Garcia-Tejeda, Esperanza Baños-López and Oscar Eduardo Cigarroa-Mayorga
Biomimetics 2025, 10(10), 712; https://doi.org/10.3390/biomimetics10100712 - 21 Oct 2025
Viewed by 825
Abstract
This research presents the development and characterization of a semi-automatic electrophoretic deposition (EPD) system designed for the synthesis of zinc oxide (ZnO) microstructures, utilizing a bioinspired neuro-fuzzy control strategy (ANFIS). The system was designed based on a chemical reactor regulated by electricity in [...] Read more.
This research presents the development and characterization of a semi-automatic electrophoretic deposition (EPD) system designed for the synthesis of zinc oxide (ZnO) microstructures, utilizing a bioinspired neuro-fuzzy control strategy (ANFIS). The system was designed based on a chemical reactor regulated by electricity in a potentiostate cell to automate and optimize the deposition parameters by controlling the temperature. The synthesized ZnO coatings exhibited distinctive flake-like morphology, confirmed via Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), and Energy-Dispersive X-Ray Spectroscopy (EDS), validating their morphological uniformity and compositional consistency. The implemented ANFIS controller was trained using experimentally acquired data, making a correlation with the properties of the sample, thickness and porosity, also employed as inputs of the system. The system exhibited high accuracy in predicting optimal deposition conditions for ZnO nanoflakes obtention, specifically in the temperature-dependent variations in thickness and porosity employed as reference to establish four classes of working sets based on the density of ZnO flakes in the substrate. Results indicate that the bioinspired neuro-fuzzy control substantially enhances the adaptability and predictive capabilities of the electrophoretic deposition process, making it a versatile tool suitable for various applications requiring precise microstructural characteristics. Future directions include further refinement of the control system, incorporation of digital sensing technologies, and potential expansion of the platform to accommodate other functional materials and complex deposition scenarios. Full article
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24 pages, 8560 KB  
Article
Selective Removal of Arsenic and Antimony by Alkaline Leaching with Sodium Sulfide: Remediation of Metalloids-Contaminated Concentrates from Zimapán, Hidalgo, Mexico
by Gabriel Cisneros, Julio C. Juárez, Iván A. Reyes, Martín Reyes, Gustavo Urbano, Jesús I. Martínez, Aislinn M. Teja and Mizraim U. Flores
Processes 2025, 13(10), 3347; https://doi.org/10.3390/pr13103347 - 19 Oct 2025
Viewed by 1064
Abstract
Selective alkaline leaching was evaluated to remove arsenic (As) and antimony (Sb) from a polymetallic copper concentrate from Zimapán, Mexico, where these metalloids cause environmental risk and smelter penalties. Batch tests used sodium sulfide (Na2S) in alkaline media, varying reagent concentrations [...] Read more.
Selective alkaline leaching was evaluated to remove arsenic (As) and antimony (Sb) from a polymetallic copper concentrate from Zimapán, Mexico, where these metalloids cause environmental risk and smelter penalties. Batch tests used sodium sulfide (Na2S) in alkaline media, varying reagent concentrations and temperature; kinetic modeling identified the rate-controlling step, and X-ray diffraction (XRD) plus scanning electron microscopy/energy-dispersive spectroscopy (SEM–EDS) assessed phase changes. The kinetic analysis indicated chemical control with a higher reaction order for Na2S than for NaOH. A quadratic regression described the process and identified Na2S concentration and temperature as the dominant factors. Maximum extractions reached 91.9% for As and 72.1% for Sb while limiting dissolution of value-bearing sulfides, as supported by XRD and SEM–EDS. Environmental indices (Igeo, EF) classified As and Sb as highly contaminating and geochemically enriched in the feed, underscoring the need for selective removal. Overall, alkaline leaching with Na2S provides a technically feasible and environmentally favorable route to remediate metalloids and upgrade polymetallic concentrates. Full article
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36 pages, 4983 KB  
Article
Application of Multivariate Exponential Random Graph Models in Small Multilayer Networks: Latin America, Tariffs, and Importation
by Oralia Nolasco-Jáuregui, Luis Alberto Quezada-Téllez, Yuri Salazar-Flores and Adán Díaz-Hernández
Mathematics 2025, 13(19), 3078; https://doi.org/10.3390/math13193078 - 25 Sep 2025
Viewed by 1406
Abstract
This work is framed as an application of static and small exponential random graph models for complex networks in multiple layers. This document revisits the small network and exhibits its potential. Examining the bibliography reveals considerable interest in large and dynamic complex networks. [...] Read more.
This work is framed as an application of static and small exponential random graph models for complex networks in multiple layers. This document revisits the small network and exhibits its potential. Examining the bibliography reveals considerable interest in large and dynamic complex networks. This research examines the application of small networks (50,000 population) for analyzing global commerce, conducting a comparative graph structure of the tariffs, and importing multilayer networks. The authors created and described the scenario where the readers can compare the graph models visually, at a glance. The proposed methodology represents a significant contribution, providing detailed descriptions and instructions, thereby ensuring the operational effectiveness of the application. The method is organized into five distinct blocks (Bn) and an accompanying appendix containing reproduction notes. Each block encompasses a primary task and associated sub-tasks, articulated through a hierarchical series of steps. The most challenging mathematical aspects of a small network analysis pertain to modeling and sample selection (sel_p). This document describes several modeling tasks that confirm that sel_p = 10 is the best option, including modeling the edges and the convergence and covariance model parameters, modeling the node factor by vertex names, Pearson residual distributions, goodness of fit, and more. This method establishes a foundation for addressing the intricate questions derived from the established hypotheses. It provides eight model specifications and a detailed description. Given the scope of this investigation, a historical examination of the relationships between different network actors is deemed essential, providing context for the study of actors engaged in global trade. Various analytical perspectives (six), encompassing degree analyses, diameter and edges, hubs and authority, co-citation and cliques in mutual and collapse approaches, k-core, and clustering, facilitate the identification of the specific roles played by actors within the importation network in comparison to the tariff network. This study focuses on the Latin American and Caribbean region. Full article
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15 pages, 1757 KB  
Review
Using Caprylic Acid for the Prevention and Treatment of Helicobacter pylori Infection and Gastric Cancer: A Review
by Alexandra Balderrama-Gómez, Victor Manuel Muñoz-Pérez, Mario I. Ortiz, Raquel Cariño-Cortés, Javier Castro-Rosas, Abigail Betanzos, Eduardo Fernández-Martínez and Israel Castillo-Juárez
Metabolites 2025, 15(9), 629; https://doi.org/10.3390/metabo15090629 - 22 Sep 2025
Cited by 2 | Viewed by 3553
Abstract
The present study investigates the bactericidal and anticancer potential of caprylic acid (CA) against Helicobacter pylori infection, a major global risk factor for gastric cancer. Several chronic inflammatory processes, bacterial virulence factors, and carcinogenic mechanisms—capable of inducing DNA damage in gastric epithelial cells, [...] Read more.
The present study investigates the bactericidal and anticancer potential of caprylic acid (CA) against Helicobacter pylori infection, a major global risk factor for gastric cancer. Several chronic inflammatory processes, bacterial virulence factors, and carcinogenic mechanisms—capable of inducing DNA damage in gastric epithelial cells, promoting genomic instability, and contributing to the development of gastritis or peptic ulcer disease in susceptible individuals—remain incompletely understood. CA, a medium-chain fatty acid naturally found in plant and animal sources such as coconut oil and goat’s milk, possesses notable biological properties that may confer gastroprotective effects against gastric cancer induced by H. pylori. Despite advances in medical management, no universally effective strategy currently exists for the treatment or prevention of H. pylori–associated gastric cancer. Conventional therapies, including surgery, radiotherapy, and chemotherapy, often entail long-term complications that may affect patients’ nutritional status. In brief, further elucidation of the mechanisms underlying medium-chain fatty acid metabolism, particularly that of CA in gastric cancer cells, may yield valuable insights for the development of innovative therapeutic approaches. Consequently, the integration of CA into therapeutic dietary regimens and the formulation of nutraceuticals targeting H. pylori infection and related gastric pathologies warrant consideration. Therefore, CA could be considered a potential adjuvant in the preventive treatment of H. pylori–induced gastritis and its associated complications. However, further in vitro and in vivo studies are needed to confirm its beneficial use for this pathology. Full article
(This article belongs to the Section Plant Metabolism)
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25 pages, 4661 KB  
Article
Detection of Organophosphorus, Pyrethroid, and Carbamate Pesticides in Tomato Peels: A Spectroscopic Study
by Acela López-Benítez, Alfredo Guevara-Lara, Diana Palma-Ramírez, Karen A. Neri-Espinoza, Rebeca Silva-Rodrigo and José A. Andraca-Adame
Foods 2025, 14(14), 2543; https://doi.org/10.3390/foods14142543 - 21 Jul 2025
Cited by 4 | Viewed by 2689
Abstract
Tomatoes are among the most widely consumed and economically significant fruits in the world. However, the extensive use of pesticides in their cultivation has led to the contamination of the peels, posing potential health risks to consumers. As one of the top global [...] Read more.
Tomatoes are among the most widely consumed and economically significant fruits in the world. However, the extensive use of pesticides in their cultivation has led to the contamination of the peels, posing potential health risks to consumers. As one of the top global producers, consumers, and exporters of tomatoes, Mexico requires rapid, non-destructive, and real-time methods for pesticide monitoring. In this study, a detailed characterization of six pesticides using Raman and Fourier Transform Infrared (FT-IR) spectroscopies was carried out to identify their characteristic vibrational modes. The pesticides examined included different chemical classes commonly used in tomato cultivation: organophosphorus (dichlorvos and methamidophos), pyrethroids (lambda-cyhalothrin and cypermethrin), and carbamates (methomyl and benomyl). Tomato peel samples were examined both before and after pesticide application. Prior to treatment, the peel exhibited a well-organized polygonal structure and showed the presence of carotenoid compounds. After pesticide application, no visible structural damage was observed; however, distinct vibrational bands enabled the detection of each pesticide. Organophosphorus pesticides could be identified through vibrational bands associated with P-O and C-S bonds. Pyrethroid detection was facilitated by benzene ring breathing modes and C=C stretching vibrations, while carbamates were identified through C-N stretching contributions. Phytotoxicity testing in the presence of pesticides indicates no significant damage during the germination of tomatoes. Full article
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22 pages, 4656 KB  
Article
Optimization of Sustainable Copper Leaching Using Glycine and Oxidizing Agents in an Alkaline Medium
by Jesús I. Martínez, Aislinn M. Teja, Martín Reyes, Norman Toro, Gabriel Cisneros, Uriel M. Flores, Miguel Pérez Labra, Gustavo Urbano and Julio C. Juarez
Metals 2025, 15(6), 617; https://doi.org/10.3390/met15060617 - 30 May 2025
Cited by 6 | Viewed by 3798
Abstract
The increasing global demand for copper has driven the search for more efficient and sustainable extraction methods, particularly due to the environmental concerns associated with conventional processes. This study investigated the leaching of copper minerals MC (Cu2O) and malachite (Cu2 [...] Read more.
The increasing global demand for copper has driven the search for more efficient and sustainable extraction methods, particularly due to the environmental concerns associated with conventional processes. This study investigated the leaching of copper minerals MC (Cu2O) and malachite (Cu2CO3(OH)2) using glycine as an organic ligand in an alkaline medium, and evaluated the efficiency of hydrogen peroxide (H2O2) and ozone (O3) as oxidizing agents. Chemical and mineralogical characterization using XRD, XRF, ICP, and SEM confirmed the predominance of MC and malachite, along with secondary phases such as hematite and calcite. Leaching experiments were carried out by varying glycine and oxidant concentrations at pH 10, with a reaction time of 240 min, agitation at 800 min−1, a solution volume of 300 mL, and a mineral sample concentration of 0.33 g·L−1. The results showed that O3 exhibited low efficiency due to its limited solubility, whereas H2O2 achieved dissolution rates of 69.7% for MC in 150 min and 96.3% for MMin just 60 min. The glycine-H2O2 system optimized reaction time by 84% compared to conventional methods, emerging as a sustainable alternative due to the low toxicity and biodegradability of glycine. Full article
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15 pages, 2698 KB  
Article
Geometric Analysis of the Scaling of the Manganese Recovery Process Using Current Distribution and Potential Simulation Techniques
by Esaú M. Rodríguez Vigueras, Victor E. Reyes Cruz, Felipe M. Galleguillos Madrid, José A. Cobos Murcia, Quinik L. Reyes Morales, Gustavo Urbano Reyes, Marissa Vargas Ramírez, Felipe Legorreta García and Marinka Varas
Metals 2025, 15(5), 562; https://doi.org/10.3390/met15050562 - 20 May 2025
Viewed by 953
Abstract
Electrolytic metallic manganese (EMM) is used as an alloying metal to provide resistance to abrasion and corrosion. Highly pure EMM is obtained through electrorecovery or electrowinning. Efforts are ongoing to improve the efficiency and profitability of this process, as 85 to 90% of [...] Read more.
Electrolytic metallic manganese (EMM) is used as an alloying metal to provide resistance to abrasion and corrosion. Highly pure EMM is obtained through electrorecovery or electrowinning. Efforts are ongoing to improve the efficiency and profitability of this process, as 85 to 90% of manganese is produced by the mining industry. This study applied computer-aided engineering (CAE) to provide information on the behavior of the potential distribution at the electrodes in cells separated by membranes, which allows for the optimization of the EMM production process. The experimental results obtained galvanostatically for EMM allowed for validation of the simulation parameters. It was determined that the cell with 11 compartments is more suitable compared to cells with fewer compartments, since it has lower oxidation-normalized current density and oxidation potential, which affect the distribution of cathodic potential in the process of obtaining EMM. The simulation highlighted a better distribution of the cathodic and anodic potentials due to the increase in the number of electrodes. This saves time and resources in the design of electrochemical cells with a greater number of compartments. Full article
(This article belongs to the Section Computation and Simulation on Metals)
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16 pages, 402 KB  
Article
A Simple Fractional Model with Unusual Dynamics in the Derivative Order
by Guillermo Fernández-Anaya, Francisco A. Godínez, Rogelio Valdés, Luis Alberto Quezada-Téllez and M. A. Polo-Labarrios
Fractal Fract. 2025, 9(4), 264; https://doi.org/10.3390/fractalfract9040264 - 21 Apr 2025
Viewed by 1317
Abstract
Fractional variable order systems with unusual dynamics in the order are a little-studied topic. In this study, we present three examples of very simple fractional systems with unusual dynamics in the derivative order. These cases involve different approaches to define the variable-order dynamics: [...] Read more.
Fractional variable order systems with unusual dynamics in the order are a little-studied topic. In this study, we present three examples of very simple fractional systems with unusual dynamics in the derivative order. These cases involve different approaches to define the variable-order dynamics: (1) an integer-order differential equation that includes the state variable, (2) a differential equation that incorporates the state variable and features both integer- and fractional-order derivatives, and (3) fractional variable-order differential equations nested in the derivative orders. We prove a result that shows how the extended recursion of the last case is generalized. These examples illustrate the richness that simple dynamical systems can reveal through the order of their derivatives. Full article
(This article belongs to the Special Issue Applications of Fractional Calculus in Modern Mathematical Modeling)
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14 pages, 3456 KB  
Article
Impact of Impregnation pH on NiMo Surface Species in Al2O3-Supported Catalysts for Green Diesel Production
by Alexis G. Mijares-Alvarado, Acela López-Benítez, Rebeca Silva-Rodrigo, José A. Rodríguez-Ávila and Alfredo Guevara-Lara
Surfaces 2025, 8(2), 21; https://doi.org/10.3390/surfaces8020021 - 25 Mar 2025
Viewed by 1607
Abstract
Green diesel is a high-quality biofuel obtained through the transformation of triglycerides into linear alkanes. In order to obtain green diesel, this study investigates the impact of impregnation pH on the surface species of NiMo/Al2O3 catalysts in the hydroprocessing of [...] Read more.
Green diesel is a high-quality biofuel obtained through the transformation of triglycerides into linear alkanes. In order to obtain green diesel, this study investigates the impact of impregnation pH on the surface species of NiMo/Al2O3 catalysts in the hydroprocessing of soybean oil. NiMo catalysts supported on Al2O3 were synthesized at different pH values (pH = 7 and 9). In the oxide state, solids were characterized by UV-Vis diffuse reflectance, Raman, and FT-IR spectroscopies, and, in the sulfide state, they were characterized by HR-TEM. The results show that the pH of impregnation significantly determines the surface species formed. An impregnation at pH = 7 favors the formation of Ni2+(Oh) and Ni2+(Oh-dis) interacting with non-crystalline molybdenum trioxide, while the formation of Ni2+/Al2O3, Ni2+(Oh-dis), and MoO3 species is favored at pH = 9. These surface species play a fundamental role in the hydrogenolysis and deoxygenation steps. Catalyst impregnated at pH = 7 shows higher activity due to the formation of shorter MoS2 slabs. This study emphasized the importance of controlling impregnation conditions for optimizing catalyst performance. Full article
(This article belongs to the Special Issue Recent Advances in Catalytic Surfaces and Interfaces)
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18 pages, 10080 KB  
Article
Beyond Chaos in Fractional-Order Systems: Keen Insight in the Dynamic Effects
by José Luis Echenausía-Monroy, Luis Alberto Quezada-Tellez, Hector Eduardo Gilardi-Velázquez, Omar Fernando Ruíz-Martínez, María del Carmen Heras-Sánchez, Jose E. Lozano-Rizk, José Ricardo Cuesta-García, Luis Alejandro Márquez-Martínez, Raúl Rivera-Rodríguez, Jonatan Pena Ramirez and Joaquín Álvarez
Fractal Fract. 2025, 9(1), 22; https://doi.org/10.3390/fractalfract9010022 - 31 Dec 2024
Cited by 7 | Viewed by 1899
Abstract
Fractional calculus (or arbitrary order calculus) refers to the integration and derivative operators of an order different than one and was developed in 1695. They have been widely used to study dynamical systems, especially chaotic systems, as the use of arbitrary-order operators broke [...] Read more.
Fractional calculus (or arbitrary order calculus) refers to the integration and derivative operators of an order different than one and was developed in 1695. They have been widely used to study dynamical systems, especially chaotic systems, as the use of arbitrary-order operators broke the milestone of restricting autonomous continuous systems of order three to obtain chaotic behavior and triggered the study of fractional chaotic systems. In this paper, we study the chaotic behavior in fractional systems in more detail and characterize the geometric variations that the dynamics of the system undergo when using arbitrary-order operators by asking the following question: is the Lyapunov exponent sufficient to describe the dynamical variations in a chaotic system of fractional order? By quantifying the convex envelope generated by the 2D projection of the system into all its phase portraits, the changes in the area of the system, as well as the volume of the attractor, are characterized. The results are compared with standard metrics for the study of chaotic systems, such as the Kaplan–Yorke dimension and the fractal dimension, and we also evaluate the frequency fluctuations in the dynamical response. It is found that our methodology can better describe the changes occurring in the systems, while the traditional dimensions are limited to confirming chaotic behaviors; meanwhile, the frequency spectrum hardly changes. The results deepen the study of fractional-order chaotic systems, contribute to understanding the implications and effects observed in the dynamics of the systems, and provide a reference framework for decision-making when using arbitrary-order operators to model dynamical systems. Full article
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18 pages, 3212 KB  
Article
Sustainable Green Synthesis of ZnO Nanoparticles from Bromelia pinguin L.: Photocatalytic Properties and Their Contribution to Urban Habitability
by Manuel de Jesus Chinchillas-Chinchillas, Horacio Edgardo Garrafa Galvez, Victor Manuel Orozco Carmona, Hugo Galindo Flores, Jose Belisario Leyva Morales, Mizael Luque Morales, Mariel Organista Camacho and Priscy Alfredo Luque Morales
Sustainability 2024, 16(23), 10745; https://doi.org/10.3390/su162310745 - 7 Dec 2024
Cited by 4 | Viewed by 2270
Abstract
Aguama (Bromelia pinguin L.), a plant belonging to the Bromeliaceae family, possesses a rich content of organic compounds historically employed in traditional medicine. This research focuses on the sustainable synthesis of ZnO nanoparticles via an eco-friendly route using 1, 2, and 4% [...] Read more.
Aguama (Bromelia pinguin L.), a plant belonging to the Bromeliaceae family, possesses a rich content of organic compounds historically employed in traditional medicine. This research focuses on the sustainable synthesis of ZnO nanoparticles via an eco-friendly route using 1, 2, and 4% of Aguama peel extract. This method contributes to environmental sustainability by reducing the use of hazardous chemicals in nanoparticle production. The optical properties, including the band gap, were determined using the TAUC model through Ultraviolet–Visible Spectroscopy (UV–Vis). The photocatalytic activity was evaluated using three widely studied organic dyes (methylene blue, methyl orange, and rhodamine B) under both solar and UV radiation. The results demonstrated that the ZnO nanoparticles, characterized by a wurtzite-type crystalline structure and particle sizes ranging from 68 to 76 nm, exhibited high thermal stability and band gap values between 2.60 and 2.91 eV. These nanoparticles successfully degraded the dyes completely, with methylene blue degrading in 40 min, methyl orange in 70 min, and rhodamine B in 90 min. This study underscores the potential of Bromelia pinguin L. extract in advancing sustainable nanoparticle synthesis and its application in environmental remediation through efficient photocatalysis. Full article
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14 pages, 9769 KB  
Article
The Correlation Between the Chemical Composition and the Microstructure of the Polysaccharides of Two Varieties of Mexican Red Prickly Pear Fruits
by Yvonne Roman Maldonado, Socorro Josefina Villanueva-Rodríguez, Hilda María Hernández-Hernández, Eduardo Terrés and Jesus Cervantes Martinez
Foods 2024, 13(23), 3914; https://doi.org/10.3390/foods13233914 - 4 Dec 2024
Cited by 5 | Viewed by 2016
Abstract
The red prickly pear fruit (Opuntia ficus-indica L. Mill), endemic from Mexico’s semi-desert regions and present in North Africa and Southern Europe, particularly Italy and Spain, is a valuable source of nutrients, bioactive compounds, and polysaccharides. This study used non-destructive techniques like [...] Read more.
The red prickly pear fruit (Opuntia ficus-indica L. Mill), endemic from Mexico’s semi-desert regions and present in North Africa and Southern Europe, particularly Italy and Spain, is a valuable source of nutrients, bioactive compounds, and polysaccharides. This study used non-destructive techniques like microscopy and Raman and infrared (IR) spectroscopy to characterize polysaccharides extracted from two red prickly pear varieties. The polysaccharides constitute approximately 80% of the peel and 39–18% of the pulp; microscopy provided insights into its microstructural details, while Raman and IR spectroscopy enabled the identification of its specific functional groups. The results revealed distinct microstructural attributes: mucilage displays a microstructure influenced by the ratio of acidic to neutral sugar monomers; pectin exhibits a low degree of methoxylation alongside a characteristic egg-box structure facilitated by calcium ions; hemicellulose presents a delicate, porous layer; and cellulose reveals a layered microstructure supported by thin or robust fibers and calcium crystals. The functional groups identified via Raman and IR spectroscopy provided specific information that could be used to infer chemical interactions influenced by functional groups like hydroxyl, carboxyl, and methyl, suggesting potential binding, stabilization, and water retention properties that enhance their utility as functional ingredients in food products. These findings, obtained using non-destructive methods, enhance the understanding of the compositional and microstructural characteristics of polysaccharides in the red prickly pear, which, in turn, can be used to predict their promising technological applications as functional ingredients. Full article
(This article belongs to the Section Plant Foods)
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14 pages, 4109 KB  
Article
The Influence of Temperature on the Spatial Distribution of AuNPs on a Ceramic Substrate for Biosensing Applications
by Yazmín Mariela Hernández-Rodríguez, Esperanza Baños-López, Pablo Damián-Matsumura, Claudia Haydée González de la Rosa and Oscar Eduardo Cigarroa-Mayorga
Chemosensors 2024, 12(10), 212; https://doi.org/10.3390/chemosensors12100212 - 15 Oct 2024
Cited by 3 | Viewed by 2165
Abstract
In this study, we investigated the spatial distribution and homogeneity of gold nanoparticles (AuNPs) on an alumina (Al2O3; AAO) substrate for potential application as surface-enhanced Raman scattering (SERS) sensors. The AuNPs were synthesized through thermal treatment at 450 °C [...] Read more.
In this study, we investigated the spatial distribution and homogeneity of gold nanoparticles (AuNPs) on an alumina (Al2O3; AAO) substrate for potential application as surface-enhanced Raman scattering (SERS) sensors. The AuNPs were synthesized through thermal treatment at 450 °C at varying times (5, 15, 30, and 60 min), and their distribution was characterized using field-emission scanning electron microscopy (FE-SEM) and scanning transmission electron microscopy (STEM). The FE-SEM and STEM analyses revealed that the size and interparticle distance of the AuNPs were significantly influenced by the duration of thermal treatment, with shorter times promoting smaller and more closely spaced nanoparticles, and longer times resulting in larger and more dispersed particles. Raman spectroscopy, using Rhodamine 6G (R6G) as a probe molecule, was employed to evaluate the SERS enhancement provided by the AuNPs on the AAO substrate. Raman mapping (5 µm × 5 µm) was conducted on five sections of each sample, demonstrating improved homogeneity in the SERS effect across the substrate. The topological features of the AuNPs before and after R6G incubation were analyzed using atomic force microscopy (AFM), confirming the correlation between a decrease in surface roughness and an increase in R6G adsorption. The reproducibility of the SERS effect was quantified using the maximum intensity deviation (D), which was found to be below 20% for all samples, indicating good reproducibility. Among the tested conditions, the sample synthesized for 15 min exhibited the most favorable characteristics, with the smallest average nanoparticle size and interparticle distance, as well as the most consistent SERS enhancement. These findings suggest that AuNPs on AAO substrates, particularly those synthesized under the optimized condition of 15 min at 450 °C, are promising candidates for use in SERS-based sensors for detecting cancer biomarkers. This could be attributed to temperature propagation promoted at the time of synthesis. The results also provide insights into the influence of thermal treatment on the spatial distribution of AuNPs and their subsequent impact on SERS performance. Full article
(This article belongs to the Special Issue Biochemical Sensors Using Nanotechnology)
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29 pages, 5760 KB  
Review
Concentrations of Organochlorine, Organophosphorus, and Pyrethroid Pesticides in Rivers Worldwide (2014–2024): A Review
by Acela López-Benítez, Alfredo Guevara-Lara, Miguel A. Domínguez-Crespo, José A. Andraca-Adame and Aidé M. Torres-Huerta
Sustainability 2024, 16(18), 8066; https://doi.org/10.3390/su16188066 - 15 Sep 2024
Cited by 23 | Viewed by 7590
Abstract
The extensive use of pesticides has led to the contamination of natural resources, sometimes causing significant and irreversible damage to the environment and human health. Even though the use of many pesticides is banned, these compounds are still being found in rivers worldwide. [...] Read more.
The extensive use of pesticides has led to the contamination of natural resources, sometimes causing significant and irreversible damage to the environment and human health. Even though the use of many pesticides is banned, these compounds are still being found in rivers worldwide. In this review, 205 documents have been selected to provide an overview of pesticide contamination in rivers over the last 10 years (2014–2024). After these documents were examined, information of 47 river systems was organized according to the types of pesticides most frequently detected, including organochloride, organophosphorus, and pyrethroid compounds. A total of 156 compounds were classified, showing that 46% of these rivers contain organochlorine compounds, while 40% exhibit organophosphorus pesticides. Aldrin, hexachlorocyclohexane, and endosulfan were the predominant organochlorine pesticides with concentration values between 0.4 and 37 × 105 ng L−1. Chlorpyrifos, malathion, and diazinon were the main organophosphorus pesticides with concentrations between 1 and 11 × 105 ng L−1. Comparing the pesticide concentrations with standard guidelines, we found that the Ganga River in India (90 ng L−1), the Owan and Okura Rivers in Nigeria (210 and 9 × 103 ng L−1), and the Dong Nai River in Vietnam (68 ng L−1) exceed the permissible levels of aldrin (30 ng L−1). Full article
(This article belongs to the Section Hazards and Sustainability)
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