The pH dependent surface charging and points of zero charge. VII. Update

Advances in Colloid and Interface Science, Journal Year: 2017, Volume and Issue: 251, P. 115 - 138

Published: Nov. 4, 2017

Language: Английский

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The pH dependent surface charging and points of zero charge. VIII. Update

Advances in Colloid and Interface Science, Journal Year: 2019, Volume and Issue: 275, P. 102064 - 102064

Published: Nov. 9, 2019

A critical review of the points zero charge (PZC) obtained by potentiometric titration and isoelectric (IEP) electrokinetic measurements. The results from recent literature are presented with experimental details (temperature, method, type apparatus, etc.), they compared similar materials reported in older publications. Most studies PZC IEP papers were carried out for metal oxides hydroxides, especially alumina, iron oxides, titania, consistent literature, summarized previous reviews same author. Relatively few less common materials, (nominally) VO2 BN have been 1st time.

Language: Английский

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Zeta potential as a tool for functional materials development

Catalysis Today, Journal Year: 2022, Volume and Issue: 423, P. 113862 - 113862

Published: Aug. 3, 2022

The importance of the isoelectric point for preparation and characterization functional materials to understand their behavior optimize performance is highlighted, with especial focus on industrial catalysts. In different liquid-phase steps involved in synthesis, knowledge surface charge as a function pH medium fundamental, since it dynamizing agent processes such gelation, peptization, coagulation agglomeration form solid particles. Therefore, zeta potential (ζ) measurements, often based electrophoretic migration techniques, are powerful source information. basic principles introduced explain through relevant examples possibilities design. Regarding preparation, measurement control synthesis coating supports reviewed, special attention shaped supports. Aspects influence binders properties depending mutual interaction analyzed, example systems TiO2 or Al2O3 natural silicates sepiolite. Also, how ζ allows, by choosing appropriate pH, preferential impregnation noble metals porous supports, well washcoating dense ceramic monoliths Special has been paid surfaces use measurements estimate formation relative location species, apparent coverage, adsorption reactivity, establish strategies achieve specific properties.

Language: Английский

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Plant protein-based emulsifiers: Mechanisms, techniques for emulsification enhancement and applications

Food Hydrocolloids, Journal Year: 2023, Volume and Issue: 144, P. 109008 - 109008

Published: June 22, 2023

Language: Английский

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Impact of pH on the Physicochemical, Structural, and Techno‐Functional Properties of Sesame Protein Isolate

Food Science & Nutrition, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 1, 2025

ABSTRACT Sesame protein isolate (SPI) is a highly nutritious plant distinguished by its essential amino acid profile. This study investigates the influence of pH on SPI's physicochemical, structural, and techno‐functional properties, highlighting potential as sustainable source for various food applications. Our findings revealed that SPI had content 90.60% extraction yield 77.2%. The density measured at 0.72 g/mL, with critical compressibility index 19.22, indicating excellent flowability weaning foods. Notably, ζ‐potential shifts from +39 mV 3.0 to 0 isoelectric point (pI, 5–5.5) becomes negative higher levels. We observed direct correlation between solubility, fluorescence intensity, functional characteristics SPI, peak solubility properties acidic alkaline levels lowest values pI. Structural analyses confirmed relationship electrical charge, hydrophobicity, attributes, highest surface hydrophobicity 2.0. In conclusion, our underscore role in modulating physicochemical sesame isolate, enhancing applicability formulations. demonstrates significant versatile ingredient product development.

Language: Английский

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Enhancing Beef Hamburger Quality: A Comprehensive Review of Quality Parameters, Preservatives, and Nanoencapsulation Technologies of Essential and Edible Oils

Foods, Journal Year: 2025, Volume and Issue: 14(2), P. 147 - 147

Published: Jan. 7, 2025

Essential and edible oils have applications in reducing oxidative processes inhibiting the growth of microorganisms meats their derivatives, providing a natural alternative to synthetic preservatives. This preservative action meets demand for clean labels safe products, aiming replace additives that pose potential health risks. Advances limitations applying essential meat preservation, highlighting properties or ability improve nutritional profiles, are explored this study. Despite benefits, direct application faces such as low solubility sensory impact, which can be overcome by nanotechnology, including association with biopolymeric matrices, focusing on protection bioactive compounds enhancing functionality food systems. approach is innovation promoting safety sustainability sector, following consumer expectations guidelines. Studies suggest combining functional benefits associated there significant contributions preservation meeting market regulations expectations.

Language: Английский

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Effect of protein aggregation on rheological properties of pea protein gels

Food Hydrocolloids, Journal Year: 2020, Volume and Issue: 108, P. 106036 - 106036

Published: May 26, 2020

Language: Английский

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A Facile yet Versatile Strategy to Construct Liquid Hybrid Energy‐Saving Windows for Strong Solar Modulation

Advanced Science, Journal Year: 2023, Volume and Issue: 10(10)

Published: Jan. 20, 2023

Smart windows with light management and indoor solar heating modulation capacities are of paramount importance for building energy conservation. Thermochromic poly(N-isopropylacrylamide) (PNIPAm) hydrogel smart exhibit advantages the relatively suitable transition temperature 32 °C, high cost-effective automatic passive sunlight regulation, but sustain slow response rate unsatisfactory efficiency. Herein, a strategy one-step copolymerization NIPAm different olefine acids (OA) using reverse atom transfer radical polymerization method is developed to fabricate various chain/microparticle hybrids (CMH) liquid energy-saving windows. Synergetic mechanisms thermal-induced dissolution aggregation linear polymer chains integrated water capture release microgel particles contribute tunable light-scattering behaviors adaptive modulation. Without any post-treatment, as-prepared poly(N-isopropylacrylamide-co-acrylic acid) (P(NIPAm-co-AA))-based CMH suspension injected into sandwich glass construct windows, which exhibits appreciated near-room-temperature (26.7 °C), rapid (5 s), extraordinary luminous transmittance (91.5%), efficiency (85.8%), resulting in substantial decline 24.5 °C simulation experiment. Combining versatile flexible adjustment on temperature, multifarious P(NIPAm-co-OA)-based eminent capacity obtained. This work will powerfully promote development renovation energy-efficient

Language: Английский

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Unlocking the Power of Artificial Intelligence: Accurate Zeta Potential Prediction Using Machine Learning

Nanomaterials, Journal Year: 2023, Volume and Issue: 13(7), P. 1209 - 1209

Published: March 29, 2023

Nanoparticles have gained significance in modern science due to their unique characteristics and diverse applications various fields. Zeta potential is critical assessing the stability of nanofluids colloidal systems but measuring it can be time-consuming challenging. The current research proposes use cutting-edge machine learning techniques, including multiple regression analyses (MRAs), support vector machines (SVM), artificial neural networks (ANNs), simulate zeta silica systems, while accounting for affecting parameters such as nanoparticle size, concentration, pH, temperature, brine salinity, monovalent ion type, presence sand, limestone, or nano-sized fine particles. data from different literature sources were used develop train models using techniques. Performance indicators employed evaluate models' predictive capabilities. correlation coefficient (r) ANN, SVM, MRA was found 0.982, 0.997, 0.68, respectively. mean absolute percentage error ANN model 5%, whereas, SVM models, greater than 25%. more accurate at predicting potential, trained achieved an accuracy over 97% predictions. are faster conventional methods. developed this first ever predict nanofluids, dispersed kaolinite, sand-brine system, coal dispersions considering several influencing parameters. This approach eliminates need experimentation provides a highly rapid prediction method with broad across

Language: Английский

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Chitosan‒gellan gum polyelectrolyte hydrogel beads containing tea tree oil microcapsules : Preparation, characterization and application

Food Hydrocolloids, Journal Year: 2024, Volume and Issue: 157, P. 110464 - 110464

Published: July 24, 2024

Language: Английский

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