• 제목/요약/키워드: bio sensor

검색결과 597건 처리시간 0.029초

Carbon Monoxide Sensor Based on a B2HDDT-doped PEDOT:PSS Layer

  • Memarzadeh, R.;Noh, Hui-Bog;Javadpour, S.;Panahi, F.;Feizpour, A.;Shim, Yoon-Bo
    • Bulletin of the Korean Chemical Society
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    • 제34권8호
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    • pp.2291-2296
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    • 2013
  • An efficient carbon monoxide (CO) sensor was developed based on poly(3,4-ethylenedioxy)thiophenepoly(styrenesulfonate) (PEDOT:PSS) modified with a new pyrimidine-fused heterocyclic compound, bis(2-hydroxyphenyl)dihydropyrido[2,3-d:6,5-d]dipyrimidine-tetraone (B2HDDT). B2HDDT remains stable in the polymer matrix through interactions with functional groups of the polymer. It created prominent sites that captured CO gas, and the experimental parameters, including the amount of doped B2HDDT in the PEDOT:PSS film, were optimized. The sensor probe was also examined to verify its reliability for detecting CO in the presence of atmospheric gases in a discriminating manner. NMR, AFM, and FT-IR spectra were obtained to evaluate the structure and morphology of the B2HDDT-doped PEDOT:PSS (PEDOT:PSS/B2HDDT) film. The content of 35 vol % B2HDDT (7.0 mM) in PEDOT:PSS provided the largest response factor (${\Delta}R/R_o$) for the CO gas. The sensor response was reproducible, with a relative standard deviation < 5% (n = 5). The detection limit was determined to be $0.44{\pm}0.05$ vol %.

파라세타몰 검출을 위한 전기화학적 다중효소 바이오센서 (Tri-enzyme modified electrochemical biosensor for paracetamol detection)

  • 박덕수;심윤보;장승철
    • 센서학회지
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    • 제17권1호
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    • pp.29-34
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    • 2008
  • A new disposable amperometric tri-enzyme biosensor for the detection of paracetamol has been developed. The paracetamol sensors developed uses horseradish peroxidase modified screen-printed carbon electrodes (HRP-SPCEs) coupled with immobilized enzymes, tyrosinase and aryl acylamidase, prepared using a poly (vinyl alcohol) bearing styrylpyridinium groups (PVA-SbQ) matrix. Optimization of the experimental parameters has been performed and the paracetamol biosensor showed detection limit for paracetamol is as low as $100{\mu}M$ and the sensitivity of the sensor is $1.46nA{\mu}M^{-1}cm^{-2}$.

환경모니터링 센서가 집적된 LED 조명용 광학시트 제작 (Fabrication of Optical Sheet for LED Lighting with Integrated Environment Monitoring Sensors)

  • 최용준;이영태
    • 반도체디스플레이기술학회지
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    • 제12권3호
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    • pp.35-39
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    • 2013
  • In this paper, we developed an optical sheet for LED lighting with integrated $CO_2$ gas and temperature sensor which can monitor at the indoor environment. The optical sheet for LED lighting is fabricated through PMMA(Polymethyl methacrylate) injection process using mold. This research enables to fabricate the reflective sheet, light-guide plate and the prism sheet in a optical sheet. The fabricated sheet demonstrates higher intensity of optical efficiency compared with single-sided sheets. The $CO_2$ sensor was fabricated using NDIR(NON-Dispersive Infrared) method and it has $0.0235mV/V{\cdot}PPM$ sensitivity. The temperature sensor was fabricated using RTD(Resistance temperature detector) method and it has $0.563{\Omega}/^{\circ}C $sensitivity.

A Study on Emergency Monitoring Robot System by Back-Propagation Algorithm

  • Yoo, Sowol;Kim, Miae;Lee, Kwangok;Bae, Sanghyun
    • 통합자연과학논문집
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    • 제7권1호
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    • pp.62-66
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    • 2014
  • This study aims to implement the emergency monitoring robot system which predicts the current state of the patients without visiting the medical institutions by measuring the basic health status of the user's blood pressure, heartbeat, and basic health status of body temperature in the disaster emergency situation based on the Smart Grid. By arranging a large number of sensor(blood pressure, heartbeat, body temperature sensor) and measuring the bio signs, so the attached wireless XBee sensor can be stored in DB of robot, and it aims to draw the current state of the patients by analysis of stored bio data. Among 300 data obtained from the sensor, 1st data to 100th data were used for learning, and from 101st data to 300th data were used for assessment. 12 results were different among the total 300 assessment data, so it shows about 96% accuracy.

Yield Prediction of Chinese Cabbage (Brassicaceae) Using Broadband Multispectral Imagery Mounted Unmanned Aerial System in the Air and Narrowband Hyperspectral Imagery on the Ground

  • Kang, Ye Seong;Ryu, Chan Seok;Kim, Seong Heon;Jun, Sae Rom;Jang, Si Hyeong;Park, Jun Woo;Sarkar, Tapash Kumar;Song, Hye young
    • Journal of Biosystems Engineering
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    • 제43권2호
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    • pp.138-147
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    • 2018
  • Purpose: A narrowband hyperspectral imaging sensor of high-dimensional spectral bands is advantageous for identifying the reflectance by selecting the significant spectral bands for predicting crop yield over the broadband multispectral imaging sensor for each wavelength range of the crop canopy. The images acquired by each imaging sensor were used to develop the models for predicting the Chinese cabbage yield. Methods: The models for predicting the Chinese cabbage (Brassica campestris L.) yield, with multispectral images based on unmanned aerial vehicle (UAV), were developed by simple linear regression (SLR) using vegetation indices, and forward stepwise multiple linear regression (MLR) using four spectral bands. The model with hyperspectral images based on the ground were developed using forward stepwise MLR from the significant spectral bands selected by dimension reduction methods based on a partial least squares regression (PLSR) model of high precision and accuracy. Results: The SLR model by the multispectral image cannot predict the yield well because of its low sensitivity in high fresh weight. Despite improved sensitivity in high fresh weight of the MLR model, its precision and accuracy was unsuitable for predicting the yield as its $R^2$ is 0.697, root-mean-square error (RMSE) is 1170 g/plant, relative error (RE) is 67.1%. When selecting the significant spectral bands for predicting the yield using hyperspectral images, the MLR model using four spectral bands show high precision and accuracy, with 0.891 for $R^2$, 616 g/plant for the RMSE, and 35.3% for the RE. Conclusions: Little difference was observed in the precision and accuracy of the PLSR model of 0.896 for $R^2$, 576.7 g/plant for the RMSE, and 33.1% for the RE, compared with the MLR model. If the multispectral imaging sensor composed of the significant spectral bands is produced, the crop yield of a wide area can be predicted using a UAV.

배나무 무인 방제를 위한 약대 자동 제어시스템 개발 (Development of an Automatic Sprayer Arm Control System for Unmanned Pest Control of Pear Trees)

  • 화지호;이봉기;이민영;최동성;홍준택;이대원
    • 생물환경조절학회지
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    • 제23권1호
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    • pp.26-30
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    • 2014
  • 본 연구에서는 과수의 형태, 거리에 따라 약대가 항상 적정 살포 거리를 유지하며 작업을 진행할 수 있도록 초음파 센서의 신호를 실시간으로 받아 약대를 제어하였고, 또한 약대의 보호를 위하여 진행 방향에 장애물이 존재할 경우 회피할 수 있도록 프로그래밍 하였다. 제작된 시스템으로 현장에서 비 자동제어 상태와 자동제어 상태로 실험을 수행하였다. 실험은 과수의 기둥과 잎 부위에 감수지를 일정간격으로 설치하고 시스템을 이용하여 분사한 후 감수지의 영상을 스캔하여 영상처리를 통해 분석하는 방법으로 이루어졌다. 상 방향 분사 실험에서는 시스템과 대상의 거리가 0.9m~1.1m로 설정해둔 적정거리를 벗어나지 않았기 때문에 비 자동제어와 자동제어 상태 모두 양호한 결과를 보였다. 하지만 측 방향 분사 실험에서는 비 자동제어 시 우측 열은 98.09%의 분사율을 보였으나 좌측 열은 69.25%로 낮게 나타났다. 이는 실험이 수행된 배 과원의 경우 과수의 좌측 열이 수평하게 식재되어 있지 않았기 때문으로 비자동제어 상태에서는 좌측열의 과수에 분사되는 양이 줄어들었으나 자동제어 상태에서는 좌, 우측열의 과수에 분사되는 양이 각각 92.66%, 94.64%로 균일하게 나타났다. 시스템의 제어 속도를 측정하기 위하여 방향 별 약대의 속도를 측정하였고 각각의 속도는 수직방향 100mm/s, 수평 방향 100mm/s, 각 변화 3o/s로 측정되었다. 초기 목적했던 바와 같이 과수의 형태, 거리에 따라 약대가 적정 거리를 유지하며 작업을 진행함으로 인해서 균일한 살포량을 유지 할 수 있음을 확인하였다.