Immobilized enzyme membrane for a semiconductor sensor
    1.
    发明授权
    Immobilized enzyme membrane for a semiconductor sensor 失效
    用于半导体传感器的固定酶膜

    公开(公告)号:US4894339A

    公开(公告)日:1990-01-16

    申请号:US942797

    申请日:1986-12-17

    CPC classification number: C12N11/08 C12Q1/002 Y10S435/817

    Abstract: A membrane containing an immobilized enzyme for a semiconductor sensor is prepared containing a water soluble photosensitive resin including a high molecular weight polyvinyl pyrrolidone crosslinked to 2, 5-bis (4'-azide-2'-sulfobenzal) cyclopentanone sodium salt, and an enzyme. Glutaraldehyde and bovine serum albumin, polyamino acid or polyamino amino acid copolymer may also be present to provide chemical crosslinking. The enzyme may be glucose oxidase, urease or lipase. The membrane can be directly formed on ion-sensitive protions of a pH-ion sensitive field effect transistor to form a semiconductor sensor by coating an aqueous solution of the resin and enzyme on the ion-sensitive portion, drying and irradiating with light such as ultraviolet light to provide photo crosslinking.

    Abstract translation: 制备含有用于半导体传感器的固定化酶的膜,其含有水溶性光敏树脂,其包含交联至2,5-双(4'-叠氮化物-2'-磺基亚苄基)环戊酮钠盐的高分子量聚乙烯吡咯烷酮和酶 。 也可以存在戊二醛和牛血清白蛋白,聚氨基酸或聚氨基酸氨基酸共聚物以提供化学交联。 酶可以是葡萄糖氧化酶,脲酶或脂肪酶。 膜可以直接在pH离子敏感场效应晶体管的离子敏感突起上形成,以通过在离子敏感部分上涂覆树脂和酶的水溶液,干燥并用诸如紫外线的光照射来形成半导体传感器 光提供光交联。

    Waste water ozonization process and apparatus
    2.
    发明授权
    Waste water ozonization process and apparatus 失效
    废水臭氧化过程和设备

    公开(公告)号:US06303034B1

    公开(公告)日:2001-10-16

    申请号:US09084951

    申请日:1998-05-28

    CPC classification number: C02F3/12 C02F1/78 Y02W10/15

    Abstract: During a waste water treatment process such as an activated-sludge process using microorganisms, the present invention ozonizes a microorganism-mixed liquid. It reduces the amount of microorganisms remaining, prevents a microorganism floc from sedimenting inappropriately, and recovers appropriate sedimentation while maintaining treatment performance. A waste water ozonization apparatus according to an embodiment of the present invention can include a sludge drawing pump which draws a microorganism-mixed liquid from an aeration vessel; an ozonizer for generating ozone gas which reacts with the microorganism-mixed liquid; an ozonization vessel which injects the ozone gas generated by the ozonizer into the drawn microorganism-mixed liquid; an ozonized-sludge channel that returns the ozonized microorganism-mixed liquid to the aeration vessel; and a control section for intermittently performing an ozonization operation.

    Abstract translation: 在使用微生物的活性污泥法等废水处理过程中,本发明臭氧化微生物混合液。 它可以减少微生物的剩余量,防止微生物絮体不适当的沉淀,同时恢复适当的沉淀,同时保持处理效果。 根据本发明实施例的废水臭氧化装置可以包括从曝气容器抽取微生物混合液体的污泥抽吸泵; 用于产生与微生物混合液反应的臭氧气体的臭氧发生器; 将由臭氧发生器产生的臭氧气体注入拉伸的微生物混合液体中的臭氧化容器; 臭氧化污泥通道,将臭氧化微生物混合液体返回到曝气容器; 以及用于间歇地进行臭氧化操作的控制部。

    Apparatus for measuring brain activity
    3.
    发明授权
    Apparatus for measuring brain activity 失效
    用于测量脑活动的装置

    公开(公告)号:US5566673A

    公开(公告)日:1996-10-22

    申请号:US457373

    申请日:1995-06-01

    CPC classification number: A61B5/14553 A61B5/4064

    Abstract: In a brain activity measuring apparatus, the reflected light from the brain surface is conducted by way of an objective lens and focusing lens and split into two beams by a beam splitter. The light beams are conducted through respective band-pass filters having different transmission wavelengths, and received by CCD cameras in which images are formed from the filtered light beams. The CCD cameras produce signals of the images, and a differential amplifier subtracts one image signal from the other thereby to remove a background noise component. The apparatus is free from noises caused by mechanical vibration, and the resulting differential signal exhibits the brain activity accurately.

    Abstract translation: 在脑活动测量装置中,来自脑表面的反射光通过物镜和聚焦透镜进行,并通过分束器分成两束。 光束通过具有不同透射波长的各个带通滤波器传导,并由CCD照相机接收,其中从滤波的光束形成图像。 CCD相机产生图像的信号,差分放大器从另一个减去一个图像信号,从而去除背景噪声分量。 该装置不受机械振动引起的噪音,并且所得到的差分信号准确地表现出脑活动。

    Correlation detection method and connectivity-structure estimation
method for neurons
    4.
    发明授权
    Correlation detection method and connectivity-structure estimation method for neurons 失效
    神经元的相关检测方法和连通性结构估计方法

    公开(公告)号:US5398187A

    公开(公告)日:1995-03-14

    申请号:US922857

    申请日:1992-07-31

    CPC classification number: G06N3/049

    Abstract: The present invention provides an interneuron crossrelation identification technique and an interneuron connection-structure estimation technique for inferring a connection-structure and the strengths of the connectivities among a plurality of neurons required for constructing a neural network model, by obtaining crossrelations among time-course data of neurons. The interneuron crossrelation detection technique may include steps of: calculating conditional probabilities by, among other things, normalizing crosscoincidence histograms calculated from time-course data of activities of the neurons representing a train of action potentials of the neurons representing a train of action potentials of the neurons, and comparing trains of symbols representing time-course states of the activities of the neurons; distinguishing an inhibitory connectivity form an excitatory connectivity by comparing the conditional probabilities to each other; and quantitatively estimating the magnitude of crossrelation among the time-course data. The interneuron connection-structure estimation technique may include steps of: computing conditional probabilities by normalizing cross-coincidence histograms calculated from time-course data of activities of the neurons representing a train of action potentials of the neurons; computing conditional mutual information and three-point mutual information from the computed conditional probabilities; and inferring a connection structure among the neurons.

    Abstract translation: 本发明提供一种中间神经元相关识别技术和中间神经元连接结构估计技术,用于通过获得时间线数据之间的相互关系来推断连接结构和构建神经网络模型所需的多个神经元之间的连接性的强度 的神经元。 中间神经元相关检测技术可以包括以下步骤:通过以下方法来计算条件概率:除了别的以外,归一化从表示代表一系列动作电位的神经元的动作电位的神经元的活动的时间过程数据计算的交叉整数直方图 并且比较表示神经元的活动的时间过程状态的符号列; 通过将条件概率相互比较来区分抑制连通性形成兴奋性连通性; 并定量估计时间序列数据之间的相关性的大小。 中间神经元连接结构估计技术可以包括以下步骤:通过归一化由表示神经元的动作电位列的神经元的活动的时间过程数据计算的交叉重合直方图来计算条件概率; 从计算的条件概率计算条件互信息和三点互信息; 并推断神经元之间的连接结构。

    Glucose sensitive FET sensor and method of making same
    5.
    发明授权
    Glucose sensitive FET sensor and method of making same 失效
    葡萄糖敏感型FET传感器及其制作方法

    公开(公告)号:US5543024A

    公开(公告)日:1996-08-06

    申请号:US587660

    申请日:1990-09-25

    CPC classification number: C12Q1/006 G01N27/4145 Y10S435/817 Y10S436/806

    Abstract: A glucose sensitive FET sensor is provided which includes a substrate, a source electrode formed in the substrate, a drain electrode formed in the substrate, a hydrogen ion sensitive film formed on the substrate to cover the source electrode and the drain electrode, and a thin enzyme immobilized membrane formed on the hydrogen ion sensitive film and containing glucose oxidase and gluconolactonase. Also provided is a method of producing a glucose sensitive FET sensor which includes the steps of preparing an enzyme immobilized membrane as a thin film containing glucose oxidase and gluconolactonase and forming the membrane on a hydrogen ion sensitive film which is formed on a substrate to cover a source electrode and a drain electrode, both of which are formed in the substrate.

    Abstract translation: 提供了一种葡萄糖敏感型FET传感器,其包括基板,形成在基板中的源电极,形成在基板中的漏电极,形成在基板上以覆盖源电极和漏电极的氢离子敏感膜, 在氢离子敏感膜上形成酶固定的膜,并含有葡萄糖氧化酶和葡糖糖苷酶。 还提供了一种生产葡萄糖敏感性FET传感器的方法,其包括以下步骤:制备酶固定化膜作为含有葡萄糖氧化酶和葡糖酸内切酶的薄膜,并在形成在基材上的氢离子敏感膜上形成膜以覆盖 源电极和漏电极,两者都形成在衬底中。

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