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Ganesan Narsimhan

Researcher at Purdue University

Publications -  141
Citations -  3820

Ganesan Narsimhan is an academic researcher from Purdue University. The author has contributed to research in topics: Adsorption & Emulsion. The author has an hindex of 34, co-authored 140 publications receiving 3465 citations. Previous affiliations of Ganesan Narsimhan include Monash University, Clayton campus & Monash University.

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A model for transitional breakage probability of droplets in agitated lean liquid-liquid dispersions

TL;DR: In this article, a model for transitional breakage probability of droplets in agitated lean fiquid-liquid dispersions is proposed based on the mechanism of breakage of droppers due to their oscillations resulting from relative velocity fluctuations.
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Effect of thermal treatment on interfacial properties of β-lactoglobulin

TL;DR: The changes in the secondary conformation and surface hydrophobicity of β-lactoglobulin subjected to different thermal treatments were characterized at pH values of 7, 5.5 and 4 using circular dichroism (CD) and hydrophobic dye binding as discussed by the authors.
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Designing carbohydrate nanoparticles for prolonged efficacy of antimicrobial peptide.

TL;DR: Both electrostatic and hydrophobic interactions are the driving forces of nisin adsorption, and the glucan structure at the nanoparticle surface also affects nisin loading and retention during storage.
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Effect of composition and pore structure on binding energy and effective diffusivity of moisture in porous food

TL;DR: In this paper, the Clausius-Clapeyron equation was employed to evaluate moisture binding energy as a function of moisture content and temperature by employing Clausius and Clausius equation and showed that the water binding ability was fairly insensitive to pore structure of food samples and was lower for extruded and pregelatinized samples as well as for samples of higher gluten content.
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Droplet breakage in stirred dispersions. Breakage functions from experimental drop-size distributions

TL;DR: In this article, the breakage rate and daughter-drop distribution functions were determined using an inverse-problem approach which takes advantage of self-similarity of transient distributions using an image analysis technique.