Feed rate noise modulates autocatalysis and shapes the oscillations of the Belousov–Zhabotinsky reaction in a continuous stirred tank reactor

Srivastava, Rohit; Dueñas-Díez, Marta; Pérez–Mercader, Juan

doi:10.1039/c7re00196g

Cited by 12 publications

(12 citation statements)

References 33 publications

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“…multipeaked periodic oscillations, bursting patterns, high sensitivity to small perturbations, or deterministic chaos [33][34][35] . It has recently been reported that feed rate noise can also modulate autocatalysis and shapes of the oscillations of the BZ reaction in CSTR 37 . Thus, coupling BZ-PISA with the CSTR operation of BZ holds great potential for achieving better control and consistency of both the self-assembled vesicles and their encapsulated cargo.…”

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Flow chemistry controls self-assembly and cargo in Belousov-Zhabotinsky driven polymerization-induced self-assembly

et al. 2019

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Amphiphilic block-copolymer vesicles are increasingly used for medical and chemical applications, and a novel method for their transient self-assembly orchestrated by periodically generated radicals during the oscillatory Belousov-Zhabotinsky (BZ) reaction was recently developed. Here we report how combining this one pot polymerization-induced selfassembly (PISA) method with a continuously stirred tank reactor (CSTR) strategy allows for continuous and reproducible control of both the PISA process and the chemical features (e.g. the radical generation and oscillation) of the entrapped cargo. By appropriately tuning the residence time (τ), target degree of polymerization (DP) and the BZ reactants, intermediate self-assembly structures are also obtained (micelles, worms and nano-sized vesicles). Simultaneously, the chemical properties of the cargo at encapsulation are known and tunable, a key advantage over batch operation. Finally, we also show that BZ-driven polymerization in CSTR additionally supports more non-periodic dynamics such as bursting.

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Flow chemistry controls self-assembly and cargo in Belousov-Zhabotinsky driven polymerization-induced self-assembly

et al. 2019

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“…These, in turn evolve in a morphology sequence controlled by the chemical nature of the PISA reaction and the environment into which it takes place. Furthermore, since chemical reactions can be thought of as events of molecular recognition 25 one can begin to envisage [26][27][28][29] how PISA can potentially enable an extraordinary scenario for molecules recognizing molecules and use the sequences into which these molecules react to build material structures which can accomplish tasks or functions in a programmed fashion.…”

Section: Introductionmentioning

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PISA: construction of self-organized and self-assembled functional vesicular structures

Pearce

Pérez–Mercader

2021

Polym. Chem.

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“…SR is also widely used in the fields of chemistry [21], biology [22], and physics [23,24]. In the field of neuroscience [25], a single neuron model is the basis for studying the biological and electrical properties of neurons.…”

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confidence: 99%

Image Restoration Based on Stochastic Resonance in a Parallel Array of Fitzhugh–Nagumo Neuron

Zhang

et al. 2020

Complexity

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The poor denoising effect for noisy grayscale images with traditional processing methods would be obtained under strong noise condition, and some image details would be lost. In this paper, a parallel array model of Fitzhugh–Nagumo (FHN) neurons was proposed, which can restore noisy grayscale images well with low peak signal-to-noise ratio (PSNR) conditions and the image details are better preserved. Firstly, the row-column scanning method was used to convert the 2D grayscale image into a 1D signal, and then the 1D signal was converted into a binary pulse amplitude modulation (BPAM) signal by signal modulation. The modulated signal was input to an FHN parallel array for stochastic resonance (SR). Finally, the array output signal was restored to a 2D gray image, and the image restoration effect was analyzed based on the PSNR and Structural SIMilarity (SSIM) index. It is shown that the SR effect can be exhibited in an array of FHN neuron nonlinearities by increasing the array size, and the image restoration effect is significantly better than the traditional image restoration method, and larger PSNR and SSIM can be obtained. It provides a new idea for grayscale image restoration in a low PSNR environment.

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Feed rate noise modulates autocatalysis and shapes the oscillations of the Belousov–Zhabotinsky reaction in a continuous stirred tank reactor

Abstract: Noise applied to a specific reactant feed rate directs the Belousov–Zhabotinsky reaction into specific pathways and results in noise-controlled oscillation shapes and features.

Cited by 12 publications

References 33 publications

Flow chemistry controls self-assembly and cargo in Belousov-Zhabotinsky driven polymerization-induced self-assembly

Flow chemistry controls self-assembly and cargo in Belousov-Zhabotinsky driven polymerization-induced self-assembly

PISA: construction of self-organized and self-assembled functional vesicular structures

Image Restoration Based on Stochastic Resonance in a Parallel Array of Fitzhugh–Nagumo Neuron

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