Large‐Scale Nanoelectrode Arrays to Monitor the Dopaminergic Differentiation of Human Neural Stem Cells

Kim, Tae-Hyung; Yea, Cheol-Heon; Chueng, Sy-Tsong Dean; Yin, Perry T.; Conley, Brian; Dardir, Kholud; Pak, Yusin; Jung, Gun Young; Choi, Jeong‐Woo; Lee, Ki‐Bum

doi:10.1002/adma.201502489

Cited by 67 publications

(68 citation statements)

References 36 publications

(19 reference statements)

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“…Various methods designed for sensing applications, such as nanostructured materials, [4][5][6] metafilms, [7] carbon dots, [8,9] electrodes [10,11] and elastic nanocomposite cilia structures, [12] and wearable sensors have been reported. The monitoring of the nanoparticles in air is necessary for safety control, because nanoscale particles generated from vehicles and industrial processes can penetrate the lungs and spread to other organs, resulting in serious respiratory and cardiac diseases.…”

Section: Doi: 101002/adma201604920mentioning

confidence: 99%

Single Nanoparticle Detection Using Optical Microcavities

et al. 2017

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Detection of nanoscale objects is highly desirable in various fields such as early-stage disease diagnosis, environmental monitoring and homeland security. Optical microcavity sensors are renowned for ultrahigh sensitivities due to strongly enhanced light-matter interaction. This review focuses on single nanoparticle detection using optical whispering gallery microcavities and photonic crystal microcavities, both of which have been developing rapidly over the past few years. The reactive and dissipative sensing methods, characterized by light-analyte interactions, are explained explicitly. The sensitivity and the detection limit are essentially determined by the cavity properties, and are limited by the various noise sources in the measurements. On the one hand, recent advances include significant sensitivity enhancement using techniques to construct novel microcavity structures with reduced mode volumes, to localize the mode field, or to introduce optical gain. On the other hand, researchers attempt to lower the detection limit by improving the spectral resolution, which can be implemented by suppressing the experimental noises. We also review the methods of achieving a better temporal resolution by employing mode locking techniques or cavity ring up spectroscopy. In conclusion, outlooks on the possible ways to implement microcavity-based sensing devices and potential applications are provided.

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Section: Doi: 101002/adma201604920mentioning

confidence: 99%

Single Nanoparticle Detection Using Optical Microcavities

et al. 2017

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“…We previously reported the electrical impedance characterization of human mesenchymal stem cell (hMSC) growth [29], hMSC differentiation into adipocytes [30], osteogenic differentiation of hMSCs [31], neural differentiation of hMSCs [32], adipose tissue-derived stem cell (ADSC) growth [33], and senescence of ADSCs [34]. Additionally, the effect of the electrode material and structure patterned by nanoparticles [35], graphene [36], or a mixture of nanoparticles and graphene [37] on stem cell differentiation was investigated. Our experiments in which we measured the electrochemical signals of differentiated or undifferentiated stem cells showed that the electrochemical signature can be used to quantify the pluripotency of the stem cells [38,39].…”

Section: Introductionmentioning

confidence: 99%

Electrical Impedance Monitoring of C2C12 Myoblast Differentiation on an Indium Tin Oxide Electrode

Ilhwan

Hong

Jun³

et al. 2016

Sensors

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Electrical cell-substrate impedance sensing is increasingly being used for label-free and real-time monitoring of changes in cell morphology and number during cell growth, drug screening, and differentiation. In this study, we evaluated the feasibility of using ECIS to monitor C2C12 myoblast differentiation using a fabricated indium tin oxide (ITO) electrode-based chip. C2C12 myoblast differentiation on the ITO electrode was validated based on decreases in the mRNA level of MyoD and increases in the mRNA levels of myogenin and myosin heavy chain (MHC). Additionally, MHC expression and morphological changes in myoblasts differentiated on the ITO electrode were comparable to those in cells in the control culture dish. From the monitoring the integration of the resistance change at 21.5 kHz, the cell differentiation was label-free and real-time detectable in 30 h of differentiation (p < 0.05).

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“…Owing to this importance of dopamine, it has been reported that insufficient dopamine levels in the blood, or the loss of dopaminergic neurons in the brain, could result in a number of severe neurological diseases such as Parkinson's disease, drug addiction, psychosis, and attention deficit hyperactivity disorder (ADHD) [6,7]. To address this issue, numerous studies have reported various methods for the detection of dopamine in a highly sensitive and selective manner, which could be readily utilized for the early diagnosis of dopamine-related neurological diseases [8][9][10]. 2 of 11 Among the currently available methods (e.g., ELISA, colorimetric methods, Raman, HPLC) [11][12][13], the electrochemical-detection technique is considered one of the most efficacious tools for dopamine detection, owing to its convenience, rapid detection time, and cost effectiveness [14].…”

Section: Introductionmentioning

confidence: 99%

Electrochemical Detection of Dopamine Using 3D Porous Graphene Oxide/Gold Nanoparticle Composites

Choo

Kang

Song

et al. 2017

Preprint

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Abstract:The detection of dopamine in a highly sensitive and selective manner is crucial for the early diagnosis of a number of neurological diseases/disorders. Here, a report on a new platform for the electrochemical detection of dopamine with a considerable accuracy that comprises a 3D porous graphene oxide (pGO)/gold nanoparticle (GNP)/pGO composite-modified indium tin oxide (ITO) is presented. The pGO was first synthesized and purified by ultrasonication and centrifugation, and it was then further functionalized on the surface of a GNP-immobilized ITO electrode. Remarkably, owing to the synergistic effects of the pGO and GNPs, the 3D pGO-GNP-pGO-modified ITO electrode showed a superior dopamine-detection performance compared with the other pGO-or GNP-modified ITO electrodes. The linear range of the newly developed sensing platform is from 0.1 µM to 30 µM with a limit of detection (LOD) of 1.28 µM, which is more precise than the other previously reported GO-functionalized electrodes. Moreover, the 3D pGO-GNP-pGO-modified ITO electrodes maintained their detection capability even in the presence of several interfering molecules (e.g., ascorbic acid, glucose). The proposed platform of the 3D pGO-GNP-pGO-modified ITO electrode could therefore serve as a competent candidate for the development of a dopamine-sensing platform that is potentially applicable for the early diagnosis of various neurological diseases/disorders.

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Large‐Scale Nanoelectrode Arrays to Monitor the Dopaminergic Differentiation of Human Neural Stem Cells

Cited by 67 publications

References 36 publications

Single Nanoparticle Detection Using Optical Microcavities

Single Nanoparticle Detection Using Optical Microcavities

Electrical Impedance Monitoring of C2C12 Myoblast Differentiation on an Indium Tin Oxide Electrode

Electrochemical Detection of Dopamine Using 3D Porous Graphene Oxide/Gold Nanoparticle Composites

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