Electrochemical Monitoring of Propagative Fluctuation of Ascorbate in the Live Rat Brain during Spreading Depolarization

Xiao, Tongfang; Wang, Yuexiang; Wei, Huan; Yu, Ping; Jiang, Ying; Mao, Lanqun

doi:10.1002/anie.201901035

Cited by 63 publications

(57 citation statements)

References 55 publications

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“…The resolved typical voltammograms (Figure 3 b) showed that during the spreading depression process, the concentrations of AA and DA first rapidly increase (by 114 μmol L −1 and 2 μmol L −1 for AA and DA, respectively), then drop to their basal level gradually, whereas the ion concentration decreases (by 130 mmol L −1 ) first, then recovers to its basal level. The variations of extracellular ions and neurotransmitters are consistent with previously reported reaction‐diffusion mechanism of spreading depression propagation, [21, 24] although the mechanism of AA release is still elusive [22a, 25] . In this regard, the DLV platform offers a powerful tool to comprehensively delineate multiple neurochemical fluctuations in the living rat brain during spreading depression process.…”

Section: Resultssupporting

confidence: 84%

Deep Learning for Voltammetric Sensing in a Living Animal Brain

Xue

Jiang

et al. 2021

Angew Chem Int Ed

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Numerous neurochemicals have been implicated in the modulation of brain function, making them appealing analytes for sensors and diagnostics. However, it is a grand challenge to selectively measure multiple neurochemicals simultaneously in vivo because of their great variations in concentrations, dynamic nature, and composition. Herein, we present a deep learning‐based voltammetric sensing platform for the highly selective and simultaneous analysis of three neurochemicals in a living animal brain. The system features a carbon fiber electrode capable of capturing the mixed dynamics of a neurotransmitter, neuromodulator, and ions. Then a powerful deep neural network is employed to resolve individual chemical and spatial‐temporal information. With this, a single electrochemical measurement reveals an interplaying concentration changes of dopamine, ascorbate, and ions in living rat brain, which is unobtainable with existing analytical methodologies. Our strategy provides a powerful means to expedite research in neuroscience and empower sensing‐aided diagnostic applications.

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Section: Resultssupporting

confidence: 84%

Deep Learning for Voltammetric Sensing in a Living Animal Brain

Xue

Jiang

et al. 2021

Angew Chem Int Ed

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“…Lightweight and mechanically strong protein‐based fibers have attracted increasing attention over the past decades due to the combination of high strength and high toughness. In comparison with traditional synthetic fibers, such as nylon and Kevlar fibers, protein fibers exhibit enhanced biocompatibility, biodegradability, and sustainability, offering great opportunities for biomedical applications . To date, the outstanding mechanical properties of natural spider silks have inspired scientists to construct biomimetic protein fibers from the recombination of spider silk proteins .…”

Section: Figurementioning

confidence: 99%

Bioinspired and Mechanically Strong Fibers Based on Engineered Non‐Spider Chimeric Proteins

Sun

et al. 2020

Angew Chem Int Ed

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Silk‐protein‐based fibers have attracted considerable interest due to their low weight and extraordinary mechanical properties. Most studies on fibrous proteins focus on the recombinant spidroins, but these fibers exhibit moderate mechanical performance. Thus, the development of alternative structural proteins for the construction of robust fibers is an attractive goal. Herein, we report a class of biological fibers produced using a designed chimeric protein, which consists of the sequences of a cationic elastin‐like polypeptide and a squid ring teeth protein. Remarkably, the chimeric protein fibers exhibit a breaking strength up to about 630 MPa and a corresponding toughness as high as about 130 MJ m−3, making them superior to many recombinant spider silks and even comparable to some native counterparts. Therefore, this strategy is a novel concept for exploring bioinspired ultrastrong protein materials through the development of new types of structural chimeric proteins.

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“…To further simplify the preparation of CNT‐based electrodes, we recently fabricated single‐walled carbon nanotubes modified electrodes (SWNT‐CFEs) by the electrophoretic deposition (EPD) of SWNTs onto the surface, [15] a process that is highly controllable and reproducible. The as‐prepared electrodes showed fast electron‐transfer kinetics and greatly improved performance in electrochemical oxidation of AA.…”

Section: Selective Detection By Using Electrocatalysts To Modulate the Interfacial Electron Transfermentioning

confidence: 99%

Selectively Probing Neurochemicals in Living Animals with Electrochemical Systems

Jia

Jiang

2021

ChemNanoMat

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Neurochemicals are essential molecules presented in the central nervous system that are primarily involved in neural activity and signaling. Neurochemical abnormalities resulted from genetic or environmental changes can lead to several behavioral and neurological disorders, including Alzheimer's and Parkinson's diseases. It is therefore imperative to employ detection systems of the optimal selectivity and spatio‐temporal resolution to ascertain the specific molecular basis particular to the pathological process. Electrochemical systems featuring excellent temporal‐spatial resolution and designable electrode interface are arguably the most versatile and widely used approaches for sensing of neurochemicals in living brain environment. Nevertheless, there are still many challenges that must be addressed to enable highly selective, sensitive, and stable in vivo electrochemical sensors and facilitate their development for emerging applications ranging from early diagnosis of brain diseases to designing potential curative treatments. Here, we provide a brief overview of the application of electrochemical sensors and biosensors in the analysis of neurochemicals in living animals. In particular, we highlight recent advances in modulating the physicochemical properties of electrode that can lead to in vivo sensors with exceptional selectivity. In addition, future trends of highly selective in vivo electrochemical systems are prospected.

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Electrochemical Monitoring of Propagative Fluctuation of Ascorbate in the Live Rat Brain during Spreading Depolarization

Cited by 63 publications

References 55 publications

Deep Learning for Voltammetric Sensing in a Living Animal Brain

Deep Learning for Voltammetric Sensing in a Living Animal Brain

Bioinspired and Mechanically Strong Fibers Based on Engineered Non‐Spider Chimeric Proteins

Selectively Probing Neurochemicals in Living Animals with Electrochemical Systems

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