KR100596972B1 - Intelligent food decomposition detecting system and the way how to detect based on it - Google Patents

Intelligent food decomposition detecting system and the way how to detect based on it Download PDF

Info

Publication number
KR100596972B1
KR100596972B1 KR1020020032239A KR20020032239A KR100596972B1 KR 100596972 B1 KR100596972 B1 KR 100596972B1 KR 1020020032239 A KR1020020032239 A KR 1020020032239A KR 20020032239 A KR20020032239 A KR 20020032239A KR 100596972 B1 KR100596972 B1 KR 100596972B1
Authority
KR
South Korea
Prior art keywords
food
corruption
corruption detection
memory
detection system
Prior art date
Application number
KR1020020032239A
Other languages
Korean (ko)
Other versions
KR20020065871A (en
Inventor
허증수
Original Assignee
경북대학교 산학협력단
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 경북대학교 산학협력단 filed Critical 경북대학교 산학협력단
Priority to KR1020020032239A priority Critical patent/KR100596972B1/en
Publication of KR20020065871A publication Critical patent/KR20020065871A/en
Application granted granted Critical
Publication of KR100596972B1 publication Critical patent/KR100596972B1/en

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/02Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
    • G01N27/04Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
    • G01N27/12Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a solid body in dependence upon absorption of a fluid; of a solid body in dependence upon reaction with a fluid, for detecting components in the fluid
    • G01N27/125Composition of the body, e.g. the composition of its sensitive layer
    • G01N27/126Composition of the body, e.g. the composition of its sensitive layer comprising organic polymers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036Specially adapted to detect a particular component
    • G01N33/0047Specially adapted to detect a particular component for organic compounds
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/02Food

Abstract

본 발명은 일반 가정은 물론 특히 대형식당이나 마트 등과 같이 장시간 다량의 식품을 보관하는 냉장고 등에 그 식품의 부패정도를 외부에서 용이하고도 정확하게 확인할 수 있게 하여 항시 신선한 식품만을 제공할 수 있도록 하는 지능형 식품부패 감지시스템과 이를 이용한 식품부패 감지시스템에 관한 것이다.The present invention enables to check the corruption of the food easily and accurately from the outside, such as a refrigerator for storing a large amount of food for a long time, such as a large restaurant or a mart, such as a general home, an intelligent food that can always provide only fresh food The present invention relates to a corruption detection system and a food corruption detection system using the same.

즉, 백금전극 위에 화학 중합법을 이용하여 폴리피롤(polypyrrole), 폴리아닐린(polyaniline) 및 폴리티오펜(polythiopene) 중 선택된 하나의 전도성 고분자 감지막으로 형성된 부패감지센서를 하나이상의 어레이 형태로 이루어진 부패감지 센서어레이와 공유기(Mux), CPU, A/D 변환기, EEPROM (electrically erasable programmable read-only memory), Memory, 모니터로 각 연결 구성시켜 그 센서 어레이로부터 얻어진 복합 신호를 패턴인식기법을 이용하여 식품 부패시 발생되는 가스 (미지의 휘발성 유기화합물 가스)를 검지 할 수 있도록 하는 것이다.That is, the corruption detection sensor formed of one or more arrays of corruption detection sensors formed of a conductive polymer detection film selected from polypyrrole, polyaniline, and polythiopene on a platinum electrode by using a chemical polymerization method. Combination of array, router, CPU, A / D converter, EEPROM (electrically erasable programmable read-only memory), memory, monitor, and complex signals obtained from the sensor array are used for food corruption using pattern recognition technique. This is to detect the generated gas (unknown volatile organic compound gas).

유기화합물, 식품부패, 고분자, 센서어레이, 감지막, 패턴인식Organic Compound, Food Corruption, Polymer, Sensor Array, Sensor Film, Pattern Recognition

Description

지능형 식품부패 감지시스템과 이를 이용한 식품부패 감지시스템{Intelligent food decomposition detecting system and the way how to detect based on it} Intelligent food decomposition detecting system and the way how to detect based on it}

도 1은 본 발명의 지능형 부패감지시스템 개략도1 is a schematic diagram of an intelligent corruption detection system of the present invention

도 2는 본 발명에서 제시된 단일전극 부패감지센서와 그 센서로 배열된 센서 어레이의 구조도Figure 2 is a structural diagram of a single electrode corruption detection sensor and a sensor array arranged in the sensor presented in the present invention

도 3은 본 발명에서 제시된 휘발성 유기화합물의 인식과정을 나타낸 개략도.Figure 3 is a schematic diagram showing the recognition process of the volatile organic compounds presented in the present invention.

도 4는 본 발명에서 제시된 전도성 고분자 센서어레이의 음식물에 대한 감도4 is a sensitivity to the food of the conductive polymer sensor array presented in the present invention

도 5는 본 발명에서 제시된 전도성 고분자 센서 어레이의 휘발성 유기화합물에 대한 감도를 패턴인식 기법중 unsupervised한 시각적 인식방법인 주성분 분석방법으로 분류한 결과를 나타낸 그래프.5 is a graph showing the results of classifying the sensitivity of volatile organic compounds of the conductive polymer sensor array presented in the present invention into a principal component analysis method which is an unsupervised visual recognition method among pattern recognition techniques.

도 6은 본 발명에서 제시된 전도성 고분자의 감지막을 화학중합법으로 형성시키는 방법의 개략도.Figure 6 is a schematic diagram of a method of forming the sensing film of the conductive polymer proposed in the present invention by chemical polymerization.

도 7은 본 발명의 부패감지 시스템을 통하여 감지된 식품의 상태를 3단계로 표시한 예시도Figure 7 is an exemplary view showing the state of the food detected through the corruption detection system of the present invention in three steps

본 발명은 지능형 식품부패 감지시스템과 이를 이용한 식품부패 감지방법에 관한 것으로서, 더욱 상세히는 일반 가정은 물론 특히 대형식당이나 마트 등과 같이 장시간 다량의 식품을 보관하는 냉장고 등에 그 식품의 부패정도를 외부에서 용이하고도 정확하게 확인할 수 있게 하여 항시 신선한 식품만을 제공할 수 있도록 하는 지능형 식품부패 감지시스템과 이를 이용한 식품부패 감지시스템에 관한 것이다.The present invention relates to an intelligent food corruption detection system and a food corruption detection method using the same, and more specifically, the degree of corruption of the food in a refrigerator for storing a large amount of food for a long time, such as a large family or a mart, for example, from outside. The present invention relates to an intelligent food corruption detection system and a food corruption detection system using the same, which enables easy and accurate identification to provide only fresh food at all times.

현재 냉장고 등과 같은 식품보관용 기기는 각종 식품들을 변질 없이 좀더 오랜 시간 신선한 상태로 보관하기 위한 수단으로서 일반 가정은 물론 대량식품을 취급하는 대형식당, 마트, 수퍼마켓 등에서 필수적으로 비치하는 대중화된 식품보관장치이다.Currently, food storage devices such as refrigerators are a means for keeping various foods fresh for a long time without alteration, and are popularized in general restaurants as well as large restaurants, marts, and supermarkets that handle bulk foods. Device.

그런데 장시간 보관하게 되면 냉장고라 할지라도 부패되게 됨으로 사용시 상당한 주의가 요구된다,However, if it is stored for a long time, even the refrigerator becomes corrupt, so considerable care is required when using it.

그럼에도 불구하고 이를 지키지 않는 경우가 많을 뿐 만 아니라 맛, 냄새, 육안 등으로 인체감각에만 의존할 수밖에 없기 때문에 감기 등과 같은 질병 등으로 인하여 후각이 둔화될 경우 더욱 부주의하게 되고, Nevertheless, in many cases, this is not only followed, but because the taste, smell, and the naked eye can only rely on the sense of the human body, it becomes more inadvertent when the sense of smell is slowed down due to diseases such as a cold.

또 그 부패정도가 미약한 초기 부패시 위와 같은 인체의 감각으로는 판별하 기 어려워 그대로 사용하는 경우가 많은 등 상당한 문제점이 있다.In addition, there is a considerable problem, such as the case of the initial decay in the degree of corruption is difficult to distinguish by the human senses as it is often used as it is.

이러한 부주의로 인해 부패된 식품을 그대로 섭취할 경우 매탈, 식중독 등과 같이 인체에 치명적인 질병을 얻을 수 있어 이의 적절한 대책이 시급한 실정이다.Due to such carelessness, if the ingested food is eaten as it is, it is urgent to take appropriate measures because it can cause a fatal disease such as mortality and food poisoning.

특히 많은 사람을 대상으로 음식, 식품을 판매하는 대형식당, 단체 급식소, 마트 등에서는 자칫 대형사고로 이어질 수 있어 특별한 주의가 요구된다.In particular, large restaurants that sell food and food to large numbers of people, group restaurants, marts, etc. may lead to large accidents, so special attention is required.

이에 본 발명에서는 각종 식품이 부패하면서 발생하는 가스(volatile organic compound, VOC)을 흡착한 다음 그 흡착된 가스로 인해 변화되는 전도도의 값을 통하여 부패정도를 식별할 수 있는 전도성 고분자 센서 어레이를 제조한 다음 그 센서어레이에서 감지된 전도도의 변화를 Analog Mux로 입력받아 마이크로프로세서(80C196KC)의 A/D 변환기로 전달한 후 신선한 상태, 부패의 우려가 있는 상태, 부패가 된 상태 등으로 단계별 모니터링하여 식품의 신선도를 사용자 또는 소비자에게 보다 쉽고도 신속하게 제공할 수 있도록 하는 것에 주안점을 두고 그 기술적 과제를 두고 완성한 것이다.
Accordingly, in the present invention, a conductive polymer sensor array capable of identifying a degree of decay through adsorption of a gas (volatile organic compound, VOC) generated by various food decay and then changed by the adsorbed gas is manufactured. Next, the change in conductivity detected by the sensor array is input to the analog mux and transferred to the A / D converter of the microprocessor (80C196KC), followed by step-by-step monitoring of the fresh state, the state of corruption, and the state of corruption. The technical task was completed with the focus on providing freshness to users or consumers more easily and quickly.

위 기술적 과제를 달성하기 위하여 본원에서는 첨부된 각 도면에 의거하여 보다 상세히 설명하면 하기와 같다.In order to achieve the above technical problem, the present invention will be described in detail with reference to the accompanying drawings.

즉, 부패감지센서를 하나이상 어레이 형태로 이루어진 부패감지 센서어레이와 공유기(Mux), CPU, A/D 변환기, EEPROM (electrically erasable programmable read-only memory), Memory, 모니터로 각 구성된다.That is, the corruption detection sensor is composed of a corruption detection array consisting of one or more arrays, a router (Mux), a CPU, an A / D converter, an electrically erasable programmable read-only memory (EEPROM), a memory, and a monitor.

상기 부패감지 센서 어레이는 백금전극 위에 화학중합법과 전기중합법을 이용하여 단일 전도성 고분자(polypyrrole, polyanilin, polythiopene) 감지막에 도펀트(dopant)를 삽입하거나 제거하여 수 ㏀으로 제어한 후 그 감지막 위에 실리콘 고무, PVA (polyvinyle alcohol), 물유리, 나피온(nafion)과 같은 필터막을 형성시켜 감지막을 보호한 센서를 하나이상 어레이 형태로 제조된 것인데, The corruption detection sensor array is controlled by several ㏀ by inserting or removing a dopant into a single conductive polymer (polypyrrole, polyanilin, polythiopene) sensing film using chemical polymerization and electropolymerization on a platinum electrode. At least one sensor that protects the sensing film by forming a filter film such as silicone rubber, PVA (polyvinyle alcohol), water glass, or nafion is manufactured in the form of an array.

이는 상기 고분자가 식품 부패시 발생되는 각종 휘발성유기화합물의 흡착시 전도도가 변화할 뿐만 아니라 합성조건 및 도펀트에 따라서 감도가 달라지는 것을 원리를 이용한 것이다.It is based on the principle that the polymer is not only changed in conductivity when adsorption of various volatile organic compounds generated during food decay, but also sensitivity varies according to synthesis conditions and dopants.

이러한 센서를 여러개 조합 후 어레이 형태로 제작하여 각종 유기화합물의 전도도를 정확하고도 자세하게 감지하다.After combining several of these sensors, they are manufactured in an array to detect the conductivity of various organic compounds accurately and in detail.

또, 상기한 공유기는 복수회로에서 입력되는 신호 중 어느 하나의 입력신호를 선택하여 출력회로에 실어 주는 기능을 수행하는 데이터 선택 논리회로를 채용한 통신장비인 멀티플렉서(multiplexer) 일명 먹스(Mux)를 사용하였다.In addition, the router includes a multiplexer (Mux), which is a communication device that employs a data selection logic circuit that performs a function of selecting any one of the signals input from a plurality of circuits and loading them to an output circuit. Used.

또 상기 CPU는 80C196KC의 마이크로프로세서를 사용하였으며, A/D 변환기와 일체로 구성된다.In addition, the CPU uses a microprocessor of 80C196KC, and is integrated with the A / D converter.

또 상기 EEPROM(electrically erasable programmable read-only memory)는 사용자가 메모리 내의 내용을 수정할 수 있는 롬(ROM) 중의 하나로 인 EPROM[이이피-롬]을 사용하였다.In addition, the EEPROM (electrically erasable programmable read-only memory) uses EPROM [EP-ROM] as one of ROMs that allow a user to modify contents in the memory.

이하 통상의 메모리와 사용자가 용이한 식별력을 가질 수 있는 모니터(LCD Display 등)를 각각 사용하였다.Hereinafter, a conventional memory and a monitor (LCD display, etc.), which can be easily identified by a user, were used.

이와 같이 구성된 본원의 지능형 식품부패 감지시스템은 진공 중에서 안정화시킨 소자를 고정저항과 한 쌍으로 직렬 연결한 저항분배기 형태의 회로에 전압을 인가하여 측정대상 가스와의 흡착에 의한 저항변화를 전압의 형태로 측정하고, 하나이상의 센서로 이루어진 센서 어레이로부터 얻어진 복합 신호를 패턴인식기법을 이용하여 미지의 휘발성 유기화합물 가스(식품 부패시 발생되는 가스)를 검지 할 수 있도록 하는 것이다.The intelligent food corruption detection system of the present application is configured to apply a voltage to a resistor divider-type circuit in which a device stabilized in a vacuum is connected in series with a fixed resistor in order to change resistance caused by adsorption with a gas to be measured. By using the pattern recognition technique to detect the complex signal obtained from the sensor array consisting of one or more sensors to detect the unknown volatile organic gas (gas generated during food corruption).

즉, 전도성 고분자 물질로 제조된 센서 어레이에서 얻어진 전도도의 변화를 Analog 공유기로 입력받아 마이크로프로세서(80C196KC) 및 8비트를 사용한 A/D 변환기로 전달한 후 이들 데이터의 값을 패턴인식기법(Radial Basis function network)을 이용하여 신선한 상태, 부패의 우려가 있는 상태, 부패가 된 상태 등 3 단계로 모니터에 표시하여 음식물의 부패여부를 판단하도록 하는 것이다,That is, the change of conductivity obtained from the sensor array made of conductive polymer material is inputted to the analog router and transferred to the A / D converter using the microprocessor (80C196KC) and 8-bit, and then the values of these data are patterned (Radial Basis function). network) to check whether the food is corrupt or not by displaying it on the monitor in three stages: fresh, potentially corrupt, or corrupt.

그 하나의 실시예로서 지능형 식품 부패 감지 H/W시스템 기본 구조는 하기와 같이 구성하였다.As an example, the basic structure of the intelligent food corruption detection H / W system is configured as follows.

1. 센서어레이 : 4개의 단일 부패감지센서소자1. Sensor array: 4 single corruption detection sensor elements

2. 소비전력 : 500mW이하2. Power Consumption: Below 500mW

3. 시스템 크기 : 200(w)×120(d)×80(h)3. System Size: 200 (w) × 120 (d) × 80 (h)

4. 식품 부패여부를 판단할 수 있는 후각 인식 알고리즘4. Olfactory Recognition Algorithm for Judging Food Corruption

- 기본 후각 인식 알고리즘(패턴인식기법): Radial basis function network algorithm    -Basic Olfactory Recognition Algorithm (Pattern Recognition): Radial basis function network algorithm

5. 식품 부패여부상태 표시 : 모니터링(LCD Display)5. Status of food corruption: Monitoring (LCD Display)

이상에서 상세히 살펴본 비와 같은 본 발명의 지능형 식품부패 감지시스템을 이용한 식품부패 감지방법은 화학중합법을 이용하여 넓은 간격의 전극 위에도 감지막을 형성할 수 있게 됨과 동시에 감지막의 합성조건 및 도펀트에 따라 각종 휘발성 유기화합물가스에 대한 감도 및 선택성이 달라지고, 패턴인식기법을 이용하여 미지가스의 농도를 정밀하게 판별할 수 있어 대형식품 창고, 식품가공업체, 대형슈퍼마켓 냉장고 등에 보관된 식품의 부패여부를 용이하게 판단할 수 있어 항시 신선한 식품만을 본인은 물론이고 소비자에게 제공할 수 있는 등 획기적인 발명이다.The food corruption detection method using the intelligent food corruption detection system of the present invention as described above in detail can be formed on the electrodes of a wide interval using a chemical polymerization method and at the same time depending on the synthesis conditions and dopants of the detection film Sensitivity and selectivity to volatile organic compound gases are changed, and the pattern recognition technique can be used to precisely determine the concentration of unknown gas, which facilitates the corruption of food stored in large food warehouses, food processing companies, and large supermarket refrigerators. It is a revolutionary invention that can provide only fresh food to consumers as well as consumers at all times.

Claims (4)

백금전극 위에 화학 중합법을 이용하여 폴리피롤(polypyrrole), 폴리아닐린(polyaniline) 및 폴리티오펜(polythiopene) 중 선택된 하나의 전도성 고분자 감지막이 형성된 부패감지센서를 하나이상 어레이 형태로 이루어진 부패감지 센서어레이와 공유기(Mux), CPU, A/D 변환기, EEPROM (electrically erasable programmable read-only memory), Memory, 모니터로 각 연결 구성된 지능형 식품부패 감지시스템에 있어서,A corruption detection array and a router comprising one or more arrays of corruption detection sensors in which a conductive polymer detection film selected from polypyrrole, polyaniline, and polythiopene is formed on the platinum electrode using chemical polymerization. In an intelligent food corruption detection system consisting of (Mux), CPU, A / D converter, EEPROM (electrically erasable programmable read-only memory), Memory, Monitor, 상기 감지막 위에 실리콘 고무, PVA (polyvinyle alcohol), 물유리, 나피온(nafion) 중 선택된 하나의 필터를 코팅하는 것을 특징으로 하는 지능형 식품부패 감지시스템.Intelligent food corruption detection system, characterized in that the coating of one filter selected from silicon rubber, PVA (polyvinyle alcohol), water glass, nafion (nafion) on the detection film. 삭제delete 삭제delete 삭제delete
KR1020020032239A 2002-06-10 2002-06-10 Intelligent food decomposition detecting system and the way how to detect based on it KR100596972B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020020032239A KR100596972B1 (en) 2002-06-10 2002-06-10 Intelligent food decomposition detecting system and the way how to detect based on it

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020020032239A KR100596972B1 (en) 2002-06-10 2002-06-10 Intelligent food decomposition detecting system and the way how to detect based on it

Publications (2)

Publication Number Publication Date
KR20020065871A KR20020065871A (en) 2002-08-14
KR100596972B1 true KR100596972B1 (en) 2006-07-05

Family

ID=27726732

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020020032239A KR100596972B1 (en) 2002-06-10 2002-06-10 Intelligent food decomposition detecting system and the way how to detect based on it

Country Status (1)

Country Link
KR (1) KR100596972B1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102640473B1 (en) 2021-12-06 2024-02-27 서울과학기술대학교 산학협력단 System and method for rapid evaluation of food freshness using electrical conductivity measurement

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5571401A (en) * 1995-03-27 1996-11-05 California Institute Of Technology Sensor arrays for detecting analytes in fluids
WO2000020852A1 (en) * 1998-10-02 2000-04-13 California Institute Of Technology Conductive organic sensors, arrays and methods of use

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5571401A (en) * 1995-03-27 1996-11-05 California Institute Of Technology Sensor arrays for detecting analytes in fluids
US6017440A (en) * 1995-03-27 2000-01-25 California Institute Of Technology Sensor arrays for detecting microorganisms
WO2000020852A1 (en) * 1998-10-02 2000-04-13 California Institute Of Technology Conductive organic sensors, arrays and methods of use

Also Published As

Publication number Publication date
KR20020065871A (en) 2002-08-14

Similar Documents

Publication Publication Date Title
Gil-Sánchez et al. A novel humid electronic nose combined with an electronic tongue for assessing deterioration of wine
Matindoust et al. Food quality and safety monitoring using gas sensor array in intelligent packaging
Vergara et al. An RFID reader with onboard sensing capability for monitoring fruit quality
Stella et al. Characterisation of olive oil by an electronic nose based on conducting polymer sensors
EP2508881B1 (en) Testing a humidity sensor
US6450008B1 (en) Food applications of artificial olfactometry
US20050153052A1 (en) Food and beverage quality sensor
EP1869598A2 (en) Device having a trend-indicating display
EP1650586B1 (en) Weather station
US4992384A (en) Measuring apparatus and method of use for analyzing a gas mixture
Rañola et al. Use of array of conducting polymers for differentiation of coconut oil products
CN110702815A (en) Olfactory sensing detection method for flour storage quality
US20120234079A1 (en) Atmospheric Sensor, NFC Device, Package and Manufacturing Method
KR100596972B1 (en) Intelligent food decomposition detecting system and the way how to detect based on it
CN106980332B (en) A kind of detection method of grain storage state
Vergara et al. Reducing power consumption via a discontinuous operation of temperature-modulated micro-hotplate gas sensors: Application to the logistics chain of fruit
CN106918817A (en) A kind of method for optimizing of the gas sensor that can detect tea type and quality
US20180299416A1 (en) Method for identifying an analyte in a fluid
JP2960696B2 (en) Methods for detecting methane and measuring methane concentration using gallium oxide-based sensors
CN110672796B (en) Method and system for monitoring peculiar smell of refrigerator
CN106841523A (en) Polyaniline hollow ball array film gas sensor and preparation method thereof
CN115315627A (en) Information processor for diagnosing state of humidity sensor
KR100525640B1 (en) Measuring method and apparatus of smell
JPH11125610A (en) Signal-processing device for measuring odor
CN100520403C (en) Food corrosion determiner

Legal Events

Date Code Title Description
A201 Request for examination
E902 Notification of reason for refusal
E902 Notification of reason for refusal
E701 Decision to grant or registration of patent right
N231 Notification of change of applicant
GRNT Written decision to grant
FPAY Annual fee payment

Payment date: 20111130

Year of fee payment: 8

FPAY Annual fee payment

Payment date: 20140603

Year of fee payment: 9

LAPS Lapse due to unpaid annual fee
FPAY Annual fee payment

Payment date: 20160325

Year of fee payment: 10

R401 Registration of restoration
FPAY Annual fee payment

Payment date: 20160609

Year of fee payment: 11

FPAY Annual fee payment

Payment date: 20170828

Year of fee payment: 12

FPAY Annual fee payment

Payment date: 20180625

Year of fee payment: 13