• Title/Summary/Keyword: selective detection

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Detection of Bio-chemical by Boron-doped Diamond Electrode (붕소가 도핑된 다이아몬드 전극을 이용한 생체화학물질의 검출)

  • Lee, Eun-Ju;Fujishima, A.;Park, Soo-Gil
    • Proceedings of the KIEE Conference
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    • 2002.11a
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    • pp.167-169
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    • 2002
  • Selective, highly stable determination of serotonin was achieved in cyclic voltammetric measurement carried out at electrochemically treated conductive boron-doped diamond electrode. Boron-doped diamond electrodes were prepared on single crystal Si wafers by microwave plasma chemical vapor deposition and $B_2O_3$ was dissolved in acetone/methanol(9:1) mixture solution so that the B/C weight ratio ca. $10^4ppm$. Serotonin is a kind of indoleamines, which secreted from adrenal marrow cells. The serious problem to detection of serotonin is the interference phenomena of electroactive constituent, including AA. In this study, electrochemical treatment of HDD was carried out to discriminate between serotonin and AA responses. Experimental results showed that the peak potential of AA oxidation shift to the positive direction and the oxidation peak of serotonin was unchanged.

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Phage Litmus: Biomimetic Virus-Based Colorimetric Sensors for Explosive Detection

  • O, Jin-U
    • Proceedings of the Korean Vacuum Society Conference
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    • 2013.08a
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    • pp.90.1-90.1
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    • 2013
  • Nature utilizes various of the colorization process. Some species of birds can express their mood of tempers by changing their collagen structures on skin. For example, turkey can change their skin color by expansion of the collagen structures, which are associated with the distinct color changes. Here, we developed bioinspired virus-based colorimetric sensors which can be genetically tuned for target molecule. Using M 13 bacteriophage, we fabricated responsive self-assembled color matrices composed of quasi-ordered fiber bundle structures. These virus matrices can exhibit color change by stimuli through fiber bundle structure modulation. Upon exposure of volatile organic compounds, the resulting multi-colored matrices exhibited distinct color changes with different ratios that can be recognized by the naked eyes. Using the directed evolutionary approaches, we genetically engineered the virus matrix to incorporate binding motif for explosive detection (i.e., trinitrotoluene (TNT)). Through utilizing a common handheld device (i.e., iPhone), we could distinguish TNT molecules down to 20 ppb in a selective manner. Our novel biomimetic virus colorimetric sensor can overcome current limitation for low response selectivity.

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Selective electrochemical detection effect of serotonin in blood by using boron doped diamond rotating disk electrode (Boron doped diamond RDE에 의한 혈액내의 serotonin의 전기화학적 선택적 검출 효과)

  • Hwang, Jin-Hee;Cho, Eun-In;Park, Soo-Gil;Okajima, Takeyoshi;Ohsaka, Takeo;Fujishima, Akira
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.07b
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    • pp.930-933
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    • 2003
  • The electrochemical oxidation of ascorbic acid(AA), serotonin(StT) and epinephrine(EP) have been performed ae poly N,N-dimethylanliline(PDMA) film coated diamond electrode. This cationic polymer film is electrochemically deposited on boron-doped diamond electrode surface. Unlike the bard electrode, the polyaer film-coated diamond electrode can well separate the oxidation potential of AA by 330mV. Thus this electrode can be successfully used for the simultaneoud detection of both species. Increases in the concentration of AA donot affect the reponse of EP and ST.

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Exceptionally stable green-synthesized gold nanoparticles for highly sensitive and selective colorimetric detection of trace metal ions and volatile aromatic compounds

  • Singh, Karanveer;Kukkar, Deepak;Singh, Ravinder;Kukkar, Preeti;Kim, Ki-Hyun
    • Journal of Industrial and Engineering Chemistry
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    • v.68
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    • pp.33-41
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    • 2018
  • The manuscript reports synthesis of exceptionally stable gold nanoparticles (GNPs) using Momordica charantia fruit extract. The synthesis approach was optimized by refining three experimental variables including source of the fruit extract (peel, seed, and seed coat), pH of the solution, and temperature of the reaction medium. As synthesized GNPs showed excellent stability against various thiolated compounds (e.g., thioglycolic acid, thiourea, ${\text\tiny{L}}-cystine$, 1-dodecanethiol, and cysteamine hydrochloride). Moreover, these nanoparticles showed distinctive colorimetric responses against $Cd^{2+}$ and thiophenol (TP) from their potential interferences. The limit of detection (LOD) values for $Cd^{2+}$ and TP were determined as 0.186 and $0.154{\mu}M$, respectively.

Determination of Ultratraces of Rhodium by Adsorptive Stripping Voltammetry of Formaldehyde Complex

  • Hong Tae-Kee;Czae Myung-Zoon;Lee Chul;Kwon Young-Soon;Hong Mi-Jeong
    • Bulletin of the Korean Chemical Society
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    • v.15 no.12
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    • pp.1035-1037
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    • 1994
  • An ultrasensitive and selective stripping voltammetric scheme for the determination of rhodium is described. By the use of combined accumulation and catalytic effects in formaldehyde-hydrochloric acid medium, substantial improvement in the limit of detection can be obtained. Optimal experimental conditions were found to be 0.42 M hydrochloric acid solution containing 0.008${\%}$ formaldehyde, an accumulation potential of -0.70 V (vs. Ag/AgCl) and an accumulation time of 20 s. The stripping mode was differential pulse voltammetry. In these conditions the limit of detection lies at 2 ${\times}$ l0$^{-12}$ M (0.21 ppt). The relative standard deviation at 5 ${\times}$ l0$^{-11}$ M was 4.9${\%}$ (n=5). There were no serious interferences from other platinum group metal ions being the tolerable amounts more than 500 times that of rhodium.

Assay of Midazolam in Human Plasma by Gas-Liquid Chromatography with Nitrogen-Phosphorus Detection

  • 신호상;홍춘표;Yun-Suk Oh-Shin;강보경;이경옥;이규범
    • Bulletin of the Korean Chemical Society
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    • v.19 no.5
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    • pp.524-526
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    • 1998
  • A sensitive and specific method is described for the determination of midazolam in human plasma. The drug was extracted from 1 mL of carbonate buffered plasma (pH 9.6) with 8 mL of diethyl ether. Famprofazone was used as internal standard. The organic phase was evaporated to dryness. The residue was dissolved in methanol for the direct analysis by gas chromatograph-nitrogen phosphorus detector system. In the concentration range of 1-5000 ng/mL, the calibration curve was linear. The coefficients of variation from the precision test were <6% at the range of the concentration of 0.10-2.00 μg/mL and the detection limit for midazolam in 1 mL of plasma was o.5 ng. This assay is more sensitive, selective, simple and rapid than earlier methods. Plasma midazolam concentrations were determined by this method after administration of midazolam.

Paradigm Shift in Prostate Cancer Diagnosis: Pre-Biopsy Prostate Magnetic Resonance Imaging and Targeted Biopsy

  • Jung Jae Park;Chan Kyo Kim
    • Korean Journal of Radiology
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    • v.23 no.6
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    • pp.625-637
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    • 2022
  • With regard to the indolent clinical characteristics of prostate cancer (PCa), the more selective detection of clinically significant PCa (CSC) has been emphasized in its diagnosis and management. Magnetic resonance imaging (MRI) has advanced technically, and recent international cooperation has provided a standardized imaging and reporting system for prostate MRI. Accordingly, prostate MRI has recently been investigated and utilized as a triage tool before biopsy to guide tissue sampling to increase the detection rate of CSC beyond the staging tool for patients in whom PCa was already confirmed on conventional systematic biopsy. Radiologists must understand the current paradigm shift for better PCa diagnosis and management. This article reviewed the recent literature, demonstrating the diagnostic value of pre-biopsy prostate MRI with targeted biopsy and discussed unsolved issues regarding the paradigm shift in the diagnosis of PCa.

Low cost, highly sensitive and selective electrochemical detection of arsenic (III) using silane grafted based nanocomposite

  • Lalmalsawmi, Jongte;Zirlianngura, Zirlianngura;Tiwari, Diwakar;Lee, Seung-Mok
    • Environmental Engineering Research
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    • v.25 no.4
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    • pp.579-587
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    • 2020
  • Novel silane grafted bentonite was obtained using the natural bentonite as precursor material. The material which is termed as nanocomposite was characterized by the Fourier Transform Infra-red (FT-IR) and X-ray diffraction (XRD) methods. The surface imaging and elemental mapping was performed using Scanning Electron Microscopic (SEM/EDX) technique. The electroanalytical studies were performed using the nanocomposite electrode. The electroactive surface area of nanocomposite electrode was significantly increased than the pristine bentonite or bare carbon paste based working electrode. The impedance spectroscopic studies were conducted to simulate the equivalent circuit and Nyquist plots were drawn for the carbon paste electrode and nanocomposite electrodes. A single step oxidation/reduction process occurred for As(III) having ΔE value 0.36 V at pH 2.0. The anodic stripping voltammetry was performed for concentration dependence studies of As(III) (0.5 to 20.0 ㎍/L) and reasonably a good linear relationship was obtained. The detection limit of the As(III) detection was calculated as 0.00360±0.00002 ㎍/L having with observed relative standard deviations (RSD) less than 4%. The presence of several cations and anions has not affected the detection of As(III) however, the presence of Cu(II) and Mn(II) affected the detection of As(III). The selectivity of As(III) was achieved using the Tlawng river water sample spiked with As(III).

Efficiency calculation of the nMCP with 10B doping based on mathematical models

  • Yang, Jianqing;Zhou, Jianrong;Zhang, Lianjun;Tan, Jinhao;Jiang, Xingfen;Zhou, Jianjin;Zhou, Xiaojuan;Hou, Linjun;Song, Yushou;Sun, XinLi;Zhang, Quanhu;Sun, Zhijia;Chen, Yuanbo
    • Nuclear Engineering and Technology
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    • v.53 no.7
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    • pp.2364-2370
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    • 2021
  • The nMCP (Neutron sensitive microchannel plate) combined with advanced readout electronics is widely used in energy selective neutron imaging because of its good spatial and timing resolution. Neutron detection efficiency is a crucial parameter for the nMCP. In this paper, a mathematical model based on the oblique cylindrical channel and elliptical pore was established to calculate the neutron absorption probability, the escape probability of charged particles and overall detection efficiency of nMCP and analyze the effects of neutron incident position, pore diameter, wall thickness and bias angle. It was shown that when the doping concentration of the nMCP was 10 mol%, the thickness of nMCP was 0.6 mm, the detection efficiency could reach maximum value, about 24% for thermal neutrons if the pore diameter was 6 ㎛, the wall thickness was 2 ㎛ and the bias angle was 3 or 6°. The calculated results are of great significance for evaluating the detection efficiency of the nMCP. In a subsequent companion paper, the mathematical model would be extended to the case of the spatial resolution and detection efficiency optimization of the coating nMCP.

Selective labeling using image super resolution for improving the efficiency of object detection in low-resolution oriental paintings

  • Moon, Hyeyoung;Kim, Namgyu
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.9
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    • pp.21-32
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    • 2022
  • Image labeling must be preceded in order to perform object detection, and this task is considered a significant burden in building a deep learning model. Tens of thousands of images need to be trained for building a deep learning model, and human labelers have many limitations in labeling these images manually. In order to overcome these difficulties, this study proposes a method to perform object detection without significant performance degradation, even though labeling some images rather than the entire image. Specifically, in this study, low-resolution oriental painting images are converted into high-quality images using a super-resolution algorithm, and the effect of SSIM and PSNR derived in this process on the mAP of object detection is analyzed. We expect that the results of this study can contribute significantly to constructing deep learning models such as image classification, object detection, and image segmentation that require efficient image labeling.