AIMC Topic: Fusarium

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Novel cationic chitosan derivative bearing 1,2,3-triazolium and pyridinium: Synthesis, characterization, and antifungal property.

Carbohydrate polymers Nov 7, 2017
In this paper, novel cationic chitosan derivative possessing 1,2,3-triazolium and pyridinium groups was synthesized conveniently via cuprous-catalyzed azide-alkyne cycloaddition (CuAAC) and methylation. FTIR, H NMR, and elemental analysis examined th...
Cations Triazoles Pyridinium Compounds Structure-Activity Relationship Molecular Structure Dose-Response Relationship, Drug Antifungal Agents Fusarium Chitosan Microbial Sensitivity Tests
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Novel 1,2,3-triazolium-functionalized starch derivatives: Synthesis, characterization, and evaluation of antifungal property.

Carbohydrate polymers Dec 26, 2016
Four novel 1,2,3-triazolium-functionalized starch derivatives were synthesized by N-alkylating the precursor starch derivatives with 1,2,3-triazole with iodomethane based on cuprous-catalyzed azide-alkyne cycloaddition (CuAAC). The detailed structura...
Starch Fusarium Triazoles Colletotrichum Microbial Sensitivity Tests Fungicides, Industrial
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Antifungal activity of Momordica charantia seed extracts toward the pathogenic fungus Fusarium solani L.

Journal of food and drug analysis Jun 2, 2016
Momordica charantia L., a vegetable crop with high nutritional value, has been used as an antimutagenic, antihelminthic, anticancer, antifertility, and antidiabetic agent in traditional folk medicine. In this study, the antifungal activity of M. char...
Ribosome Inactivating Proteins Plant Extracts Fusarium Momordica charantia Seeds Antifungal Agents
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EffectorP: predicting fungal effector proteins from secretomes using machine learning.

The New phytologist Dec 17, 2015
Eukaryotic filamentous plant pathogens secrete effector proteins that modulate the host cell to facilitate infection. Computational effector candidate identification and subsequent functional characterization delivers valuable insights into plant-pat...
Machine Learning Algorithms Amino Acids Molecular Weight Reproducibility of Results Computational Biology Genome, Fungal Species Specificity Cytoplasm Fusarium Fungal Proteins
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Identification of Fusarium sambucinum species complex by surface-enhanced Raman spectroscopy and XGBoost algorithm.

Food chemistry Jul 15, 2025
Rapid and reliable identification of Fusarium fungi is crucial, due to their role in food spoilage and potential toxicity. Traditional identification methods are often time-consuming and resource-intensive. This study explores the use of surface-enha...
Boosting Machine Learning Algorithms Spectrum Analysis, Raman Fusarium Hordeum
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Artificial neural network-based fungal chitin production for submicron-chitosan synthesis: effects on bioremediation for heavy metal pollution.

International journal of biological macromolecules Jun 1, 2025
This study focused on optimizing fungal chitin (CT) production from a newly identified Fusarium incarnatum (GenBank: OL314753) for subsequent synthesis of submicron chitosan (sm-CS) tailored for enhanced heavy metal removal. Initial attempts to optim...
Adsorption Chitosan Metals, Heavy Chitin Biodegradation, Environmental Neural Networks, Computer Fusarium
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[Immunochromatographic Test System for the Detection of T-2 Toxin].

Prikladnaia biokhimiia i mikrobiologiia Jan 1, 2015
An immunochromatographic test system was developed for the detection of T-2 toxin (T2T), which is one of priority contaminants of cereals. The detection is based on the competition between T2T in the sample and the T2T-protein conjugate immobilized o...
Binding, Competitive T-2 Toxin Methanol Edible Grain Fusarium Immunoconjugates Limit of Detection Mice Food Contamination Zea mays Antibodies, Monoclonal Metal Nanoparticles Gold Animals Reagent Strips Chromatography, Affinity Protein Binding
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