4.6 Article

Preparation of surfactant-free emulsions using amaranth starch modified by reactive extrusion

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ELSEVIER
DOI: 10.1016/j.colsurfa.2020.125550

Keywords

Surfactant-free emulsions; Modified amaranth starch; Reactive extrusion; Dynamic Light Scattering; Fractals

Funding

  1. Universidad Autonoma de Sinaloa [PROFAPI2015/106]

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The use of emulsions at industrial scale involves simple, efficient and versatile applications. The results showed that the optimal preparation time for emulsions based on modified amaranth starch is 270 s, with a particle size of 342 nm and fractal dimension of 2.85, displaying well-dispersed and stable characteristics.
The use of emulsions at industrial scale involves simple, efficient and versatile applications. Currently, it is preferred the exploitation of biopolymers such as modified starch that may be used as suitable wall materials, avoiding toxic surfactants during preparation. Therefore, in this work, modified amaranth starch with improved physicochemical and morphological properties was obtained by reactive extrusion from a selected extruder outlet time. Additionally, surfactant-free emulsions based on modified starch were prepared at a registered optimal time. The evolution of particle size distributions was monitored by combining Dynamic Light Scattering (DLS) and light microscopy. For starch modification, results showed that 80 s was the best outlet time from the extruder in order to produce a homogeneous material (particle size: 553 nm; fractal dimension: 2.73). For emulsions, a thoroughly characterisation indicated that DLS and fractal analyses converged at 270 s as optimal preparation time, showing a well-dispersed and stable system (particle size: 342 nm; fractal dimension: 2.85). Thus, this contribution provides a strategy for the obtention of modified amaranth starch having appropriate hydrophobic-hydrophilic balance and T-g values for emulsions stabilisation. On the other hand, the technique applied for emulsions preparation resulted in controllable size and shape of particles. This work proposes a complete sequential process that could be helpful to overcome the challenges faced by a number of industries.

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