公开(公告)号：WO2016145110A1

公开(公告)日：2016-09-15

申请号：PCT/US2016/021606

申请日：2016-03-09

Applicant: EDICO GENOME, INC.

Inventor： HOFFMAN, Paul ,  LERNER, Mitchell ,  ROOYEN, Pieter van

IPC: C12Q1/68 ,  G01N27/414 ,  H01L21/335

CPC classification number: C12Q1/68 ,  B82Y30/00 ,  C12Q1/6874 ,  G01N27/4146 ,  C12Q2535/122 ,  C12Q2563/113 ,  C12Q2563/116 ,  C12Q2563/143 ,  C12Q2563/155 ,  C12Q2565/607

Abstract: Provided herein are devices, systems, and methods of employing the same for the performance of bioinformatics analysis. The apparatuses and methods of the disclosure are directed in part to large scale graphene FET sensors, arrays, and integrated circuits employing the same for analyte measurements. The present GFET sensors, arrays, and integrated circuits may be fabricated using conventional CMOS processing techniques based on improved GFET pixel and array designs that increase measurement sensitivity and accuracy, and at the same time facilitate significantly small pixel sizes and dense GFET sensor based arrays. Improved fabrication techniques employing graphene as a reaction layer provide for rapid data acquisition from small sensors to large and dense arrays of sensors. Such arrays may be employed to detect a presence and/or concentration changes of various analyte types in a wide variety of chemical and/or biological processes, including DNA hybridization and/or sequencing reactions.

Abstract translation: 本文提供了使用其进行生物信息学分析的装置，系统和方法。 本公开的装置和方法部分地涉及用于分析物测量的大规模石墨烯FET传感器，阵列和集成电路。 可以使用基于改进的GFET像素和阵列设计的传统CMOS处理技术来制造当前的GFET传感器，阵列和集成电路，所述GFET像素和阵列设计增加了测量灵敏度和精度，并且同时促进了显着小的像素尺寸和基于密集的基于GFET传感器的阵列。 使用石墨烯作为反应层的改进的制造技术提供从小型传感器到大型和致密传感器阵列的快速数据采集。 可以使用这样的阵列来检测各种化学和/或生物过程中各种分析物类型的存在和/或浓度变化，包括DNA杂交和/或测序反应。

公开(公告)号：WO2016205253A1

公开(公告)日：2016-12-22

申请号：PCT/US2016/037448

申请日：2016-06-14

Applicant: EDICO GENOME, INC.

Inventor： HOFFMAN, Paul ,  LERNER, Mitchell ,  VAN ROOYEN, Pieter

IPC: G01N27/414 ,  H01L21/4763 ,  H01L21/768 ,  H01L29/16

CPC classification number: G01N27/414 ,  B82Y10/00 ,  B82Y30/00 ,  H01L21/8258 ,  H01L27/0688 ,  H01L27/092 ,  H01L29/1606 ,  H01L29/41733 ,  H01L29/45 ,  H01L29/66742 ,  H01L29/78681 ,  H01L29/78684

Abstract: Provided herein are devices, systems, and methods of employing the same for the performance of bioinformatics analysis. The apparatuses and methods of the disclosure are directed in part to large scale graphene FET sensors, arrays, and integrated circuits employing the same for analyte measurements. The present GFET sensors, arrays, and integrated circuits may be fabricated using conventional CMOS processing techniques based on improved GFET pixel and array designs that increase measurement sensitivity and accuracy, and at the same time facilitate significantly small pixel sizes and dense GFET sensor based arrays. Improved fabrication techniques employing graphene as a reaction layer provide for rapid data acquisition from small sensors to large and dense arrays of sensors. Such arrays may be employed to detect a presence and/or concentration changes of various analyte types in a wide variety of chemical and/or biological processes, including DNA hybridization and/or sequencing reactions. Accordingly, GFET arrays facilitate DNA sequencing techniques based on monitoring changes in hydrogen ion concentration (pH), changes in other analyte concentration, and/or binding events associated with chemical processes relating to DNA synthesis within a gated reaction chamber of the GFET based sensor.

Abstract translation: 本文提供的是使用其进行生物信息学分析的装置，系统和方法。 本公开的装置和方法部分地涉及用于分析物测量的大规模石墨烯FET传感器，阵列和采用其的集成电路。 目前的GFET传感器，阵列和集成电路可以使用基于改进的GFET像素和阵列设计的传统CMOS处理技术来制造，这增加了测量灵敏度和精度，并且同时促进了显着小的像素尺寸和基于密集的基于GFET传感器的阵列。 使用石墨烯作为反应层的改进的制造技术提供从小型传感器到大型和密集传感器阵列的快速数据采集。 可以使用这样的阵列来检测各种化学和/或生物过程中各种分析物类型的存在和/或浓度变化，包括DNA杂交和/或测序反应。 因此，GFET阵列通过监测基于GFET传感器的门控反应室内与DNA合成相关的氢离子浓度（pH）变化，其他分析物浓度变化和/或与化学过程有关的结合事件，来促进DNA测序技术。