荧光技术测量藻蓝蛋白参数的光学生物传感器设计

Sung Hwa Lee, V. Mariappan, D. Won, Myungsuk Ann, Seungyoun Yang
{"title":"荧光技术测量藻蓝蛋白参数的光学生物传感器设计","authors":"Sung Hwa Lee, V. Mariappan, D. Won, Myungsuk Ann, Seungyoun Yang","doi":"10.7236/IJASC.2016.5.2.73","DOIUrl":null,"url":null,"abstract":"Remote sensing and measurement are of paramount importance of providing information on the state of water quality in water bodies. The formation and growth of cyanobacteria is of serious concern to in land aquatic life forms and human life. The main cause of water quality deterioration stems from anthropogenic induced eutrophication. The goal of this research to quantify and determine the spatial distribution of cyanobacteria concentration in the water using remote sensing technique. The standard approach to measure water quality based on the direct measurement of the fluorescence of the chlorophyll a in the living algal cells and the same approach used to detect the phycobilin pigments found in blue-green algae (a.k.a. cyanobacteria), phycocyanin and phycoerythrin. This paper propose the emerging sensor design to measure the water quality based on the optical analysis by fluorescence of the phycocyanin pigment. In this research, we developed an method to sense and quantify to derive phycocyanin intensity index for estimating cyanobacteria concentrations. The development of the index was based on the reflectance difference between visible light band 620nm and 665nm. As a result of research this paper presents, an optical biological sensor design information to measure the Phycocyanin parameters in water content.","PeriodicalId":297506,"journal":{"name":"The International Journal of Advanced Smart Convergence","volume":"178 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Design of Optical Biological Sensor for Phycocyanin Parameters Measurement using Fluorescence Technique\",\"authors\":\"Sung Hwa Lee, V. Mariappan, D. Won, Myungsuk Ann, Seungyoun Yang\",\"doi\":\"10.7236/IJASC.2016.5.2.73\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Remote sensing and measurement are of paramount importance of providing information on the state of water quality in water bodies. The formation and growth of cyanobacteria is of serious concern to in land aquatic life forms and human life. The main cause of water quality deterioration stems from anthropogenic induced eutrophication. The goal of this research to quantify and determine the spatial distribution of cyanobacteria concentration in the water using remote sensing technique. The standard approach to measure water quality based on the direct measurement of the fluorescence of the chlorophyll a in the living algal cells and the same approach used to detect the phycobilin pigments found in blue-green algae (a.k.a. cyanobacteria), phycocyanin and phycoerythrin. This paper propose the emerging sensor design to measure the water quality based on the optical analysis by fluorescence of the phycocyanin pigment. In this research, we developed an method to sense and quantify to derive phycocyanin intensity index for estimating cyanobacteria concentrations. The development of the index was based on the reflectance difference between visible light band 620nm and 665nm. As a result of research this paper presents, an optical biological sensor design information to measure the Phycocyanin parameters in water content.\",\"PeriodicalId\":297506,\"journal\":{\"name\":\"The International Journal of Advanced Smart Convergence\",\"volume\":\"178 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The International Journal of Advanced Smart Convergence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7236/IJASC.2016.5.2.73\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Journal of Advanced Smart Convergence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7236/IJASC.2016.5.2.73","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

遥感和测量对于提供有关水体水质状况的信息至关重要。蓝藻的形成和生长是陆地水生生物和人类生活中严重关注的问题。水质恶化的主要原因是人为引起的富营养化。本研究的目的是利用遥感技术定量确定水体中蓝藻浓度的空间分布。测量水质的标准方法是基于直接测量活藻细胞中叶绿素a的荧光,以及用于检测蓝绿藻(又名蓝藻细菌)、藻蓝蛋白和藻红蛋白中发现的藻胆素色素的相同方法。本文提出了一种基于藻蓝色素荧光光学分析的新型水质传感器设计。在这项研究中,我们开发了一种方法来感知和量化得出藻蓝蛋白强度指数估计蓝藻细菌的浓度。该指数的开发是基于可见光波段620nm和665nm之间的反射率差异。根据研究结果,本文设计了一种光学生物传感器,用于测量水中藻蓝蛋白参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Design of Optical Biological Sensor for Phycocyanin Parameters Measurement using Fluorescence Technique
Remote sensing and measurement are of paramount importance of providing information on the state of water quality in water bodies. The formation and growth of cyanobacteria is of serious concern to in land aquatic life forms and human life. The main cause of water quality deterioration stems from anthropogenic induced eutrophication. The goal of this research to quantify and determine the spatial distribution of cyanobacteria concentration in the water using remote sensing technique. The standard approach to measure water quality based on the direct measurement of the fluorescence of the chlorophyll a in the living algal cells and the same approach used to detect the phycobilin pigments found in blue-green algae (a.k.a. cyanobacteria), phycocyanin and phycoerythrin. This paper propose the emerging sensor design to measure the water quality based on the optical analysis by fluorescence of the phycocyanin pigment. In this research, we developed an method to sense and quantify to derive phycocyanin intensity index for estimating cyanobacteria concentrations. The development of the index was based on the reflectance difference between visible light band 620nm and 665nm. As a result of research this paper presents, an optical biological sensor design information to measure the Phycocyanin parameters in water content.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design for Automation System for Pharmaceutical Prescription Using Arduino and Optical Character Recognition A Study on the Contents Security Management Model for Multi-platform Users A Study on the meaning of work and job embeddedness affecting the creative behavior of organization members The Structural Relationship among Selection Attributes, Consumption Value Brand Attitude, Fun, Brand Loyalty and Quality of Life in Athleisure Improved BP-NN Controller of PMSM for Speed Regulation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1