无标签DNA生物芯片的3D结构和可更换层

Y. Temiz, S. Carrara, A. Cavallini, Y. Leblebici, G. De Micheli
{"title":"无标签DNA生物芯片的3D结构和可更换层","authors":"Y. Temiz, S. Carrara, A. Cavallini, Y. Leblebici, G. De Micheli","doi":"10.1109/IWASI.2009.5184764","DOIUrl":null,"url":null,"abstract":"Recent advances in bio-sensing technologies have led to design of bio-sensor arrays for rapid identification and quantification of various biological agents such as drugs, gene expressions, proteins, cholesterol, fats, etc. Various dedicated sensing arrays are already available commercially to monitor some of these compounds in a sample. However, monitoring the simultaneous presence of multiple agents in a sample is still a challenging task. Multiple agents may often attach to the same probes on an array which makes it difficult to design a chip that can distinguish such agents (leading to low specificity). Thus, sophisticated algorithms for targets identification need to be implemented in biochip in order to maximize the number of distinguishable targets in the samples. The proposed algorithms are also required to introduce sophisticated signal processing and more intelligence on-chip. Dealing with these new processing and information technology demands constraints also require more innovative approaches towards hybrid integration technologies. To address such new demands, we discuss in this paper an innovative 3D-integrated bio-chips especially dedicated to label-free DNA detection.","PeriodicalId":246540,"journal":{"name":"2009 3rd International Workshop on Advances in sensors and Interfaces","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"3D architecture and replaceable layers for label-free DNA biochips\",\"authors\":\"Y. Temiz, S. Carrara, A. Cavallini, Y. Leblebici, G. De Micheli\",\"doi\":\"10.1109/IWASI.2009.5184764\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent advances in bio-sensing technologies have led to design of bio-sensor arrays for rapid identification and quantification of various biological agents such as drugs, gene expressions, proteins, cholesterol, fats, etc. Various dedicated sensing arrays are already available commercially to monitor some of these compounds in a sample. However, monitoring the simultaneous presence of multiple agents in a sample is still a challenging task. Multiple agents may often attach to the same probes on an array which makes it difficult to design a chip that can distinguish such agents (leading to low specificity). Thus, sophisticated algorithms for targets identification need to be implemented in biochip in order to maximize the number of distinguishable targets in the samples. The proposed algorithms are also required to introduce sophisticated signal processing and more intelligence on-chip. Dealing with these new processing and information technology demands constraints also require more innovative approaches towards hybrid integration technologies. To address such new demands, we discuss in this paper an innovative 3D-integrated bio-chips especially dedicated to label-free DNA detection.\",\"PeriodicalId\":246540,\"journal\":{\"name\":\"2009 3rd International Workshop on Advances in sensors and Interfaces\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 3rd International Workshop on Advances in sensors and Interfaces\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWASI.2009.5184764\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 3rd International Workshop on Advances in sensors and Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWASI.2009.5184764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

生物传感技术的最新进展导致了生物传感器阵列的设计,用于快速识别和定量各种生物制剂,如药物、基因表达、蛋白质、胆固醇、脂肪等。各种专用传感阵列已经在商业上可用来监测样品中的一些这些化合物。然而,监测样品中同时存在的多个试剂仍然是一项具有挑战性的任务。多个试剂可能经常附着在阵列上的相同探针上,这使得设计能够区分这些试剂的芯片变得困难(导致低特异性)。因此,需要在生物芯片中实现复杂的目标识别算法,以最大限度地提高样品中可区分目标的数量。所提出的算法还需要引入复杂的信号处理和更多的智能芯片。处理这些新的处理和信息技术需求约束也需要更多的创新方法来实现混合集成技术。为了满足这些新的需求,我们在本文中讨论了一种创新的3d集成生物芯片,特别是专门用于无标签DNA检测。
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
3D architecture and replaceable layers for label-free DNA biochips
Recent advances in bio-sensing technologies have led to design of bio-sensor arrays for rapid identification and quantification of various biological agents such as drugs, gene expressions, proteins, cholesterol, fats, etc. Various dedicated sensing arrays are already available commercially to monitor some of these compounds in a sample. However, monitoring the simultaneous presence of multiple agents in a sample is still a challenging task. Multiple agents may often attach to the same probes on an array which makes it difficult to design a chip that can distinguish such agents (leading to low specificity). Thus, sophisticated algorithms for targets identification need to be implemented in biochip in order to maximize the number of distinguishable targets in the samples. The proposed algorithms are also required to introduce sophisticated signal processing and more intelligence on-chip. Dealing with these new processing and information technology demands constraints also require more innovative approaches towards hybrid integration technologies. To address such new demands, we discuss in this paper an innovative 3D-integrated bio-chips especially dedicated to label-free DNA detection.
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
Characterization and modelling of SnO2 nanowire sensors for CO detection Neutron detection through an SRAM-based test bench Behavioral modeling and simulation of a chemical sensor with its microelectronics front-end interface Membrane proteins embedded in supported lipid bilayers employed in field effect electronic devices HGA-based Auto-tuning of Peltier coolers in PAIS project: New environmental monitoring and early wildfire detection system
×
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