JPH02285248A - Chemical sensor - Google Patents
Chemical sensorInfo
- Publication number
- JPH02285248A JPH02285248A JP10595489A JP10595489A JPH02285248A JP H02285248 A JPH02285248 A JP H02285248A JP 10595489 A JP10595489 A JP 10595489A JP 10595489 A JP10595489 A JP 10595489A JP H02285248 A JPH02285248 A JP H02285248A
- Authority
- JP
- Japan
- Prior art keywords
- taste
- chemical
- chemical substances
- kcl
- frequency
- Prior art date
- Legal status (The legal status 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 status listed.)
- Granted
Links
- 239000000126 substance Substances 0.000 title claims abstract description 51
- 230000004044 response Effects 0.000 claims abstract description 13
- 230000010355 oscillation Effects 0.000 claims description 23
- 239000000823 artificial membrane Substances 0.000 claims description 13
- 210000005036 nerve Anatomy 0.000 claims description 4
- 238000000034 method Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 230000010365 information processing Effects 0.000 claims description 2
- 235000019640 taste Nutrition 0.000 abstract description 15
- 230000002964 excitative effect Effects 0.000 abstract description 4
- 235000009508 confectionery Nutrition 0.000 abstract 1
- 235000019658 bitter taste Nutrition 0.000 description 9
- 235000019583 umami taste Nutrition 0.000 description 9
- 230000008859 change Effects 0.000 description 6
- 230000035943 smell Effects 0.000 description 6
- 210000004027 cell Anatomy 0.000 description 5
- 239000013078 crystal Substances 0.000 description 5
- 230000008786 sensory perception of smell Effects 0.000 description 5
- 230000014860 sensory perception of taste Effects 0.000 description 5
- 238000013528 artificial neural network Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 235000019643 salty taste Nutrition 0.000 description 4
- 230000036327 taste response Effects 0.000 description 4
- 239000007864 aqueous solution Substances 0.000 description 3
- WFFZELZOEWLYNK-CLFAGFIQSA-N bis[(z)-octadec-9-enyl] hydrogen phosphate Chemical class CCCCCCCC\C=C/CCCCCCCCOP(O)(=O)OCCCCCCCC\C=C/CCCCCCCC WFFZELZOEWLYNK-CLFAGFIQSA-N 0.000 description 3
- 239000012528 membrane Substances 0.000 description 3
- 235000019605 sweet taste sensations Nutrition 0.000 description 3
- 235000019607 umami taste sensations Nutrition 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 235000019645 odor Nutrition 0.000 description 2
- -1 phospho Chemical class 0.000 description 2
- 235000019600 saltiness Nutrition 0.000 description 2
- 235000019614 sour taste Nutrition 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- PSQYTAPXSHCGMF-BQYQJAHWSA-N β-ionone Chemical compound CC(=O)\C=C\C1=C(C)CCCC1(C)C PSQYTAPXSHCGMF-BQYQJAHWSA-N 0.000 description 2
- SFEOKXHPFMOVRM-UHFFFAOYSA-N (+)-(S)-gamma-ionone Natural products CC(=O)C=CC1C(=C)CCCC1(C)C SFEOKXHPFMOVRM-UHFFFAOYSA-N 0.000 description 1
- SNKAWJBJQDLSFF-NVKMUCNASA-N 1,2-dioleoyl-sn-glycero-3-phosphocholine Chemical compound CCCCCCCC\C=C/CCCCCCCC(=O)OC[C@H](COP([O-])(=O)OCC[N+](C)(C)C)OC(=O)CCCCCCC\C=C/CCCCCCCC SNKAWJBJQDLSFF-NVKMUCNASA-N 0.000 description 1
- 241001092070 Eriobotrya Species 0.000 description 1
- 235000009008 Eriobotrya japonica Nutrition 0.000 description 1
- 241001474791 Proboscis Species 0.000 description 1
- 101100514056 Rhodobacter capsulatus modD gene Proteins 0.000 description 1
- 241000212342 Sium Species 0.000 description 1
- BAECOWNUKCLBPZ-HIUWNOOHSA-N Triolein Natural products O([C@H](OCC(=O)CCCCCCC/C=C\CCCCCCCC)COC(=O)CCCCCCC/C=C\CCCCCCCC)C(=O)CCCCCCC/C=C\CCCCCCCC BAECOWNUKCLBPZ-HIUWNOOHSA-N 0.000 description 1
- PHYFQTYBJUILEZ-UHFFFAOYSA-N Trioleoylglycerol Natural products CCCCCCCCC=CCCCCCCCC(=O)OCC(OC(=O)CCCCCCCC=CCCCCCCCC)COC(=O)CCCCCCCC=CCCCCCCCC PHYFQTYBJUILEZ-UHFFFAOYSA-N 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- GTKRFUAGOKINCA-UHFFFAOYSA-M chlorosilver;silver Chemical compound [Ag].[Ag]Cl GTKRFUAGOKINCA-UHFFFAOYSA-M 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 239000002537 cosmetic Substances 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 239000003205 fragrance Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000000491 multivariate analysis Methods 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 210000003370 receptor cell Anatomy 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- HKZLPVFGJNLROG-UHFFFAOYSA-M silver monochloride Chemical group [Cl-].[Ag+] HKZLPVFGJNLROG-UHFFFAOYSA-M 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
- PHYFQTYBJUILEZ-IUPFWZBJSA-N triolein Chemical compound CCCCCCCC\C=C/CCCCCCCC(=O)OCC(OC(=O)CCCCCCC\C=C/CCCCCCCC)COC(=O)CCCCCCC\C=C/CCCCCCCC PHYFQTYBJUILEZ-IUPFWZBJSA-N 0.000 description 1
- 229940117972 triolein Drugs 0.000 description 1
- 239000002023 wood Substances 0.000 description 1
Abstract
Description
【発明の詳細な説明】
（産業上の利用分野）
本発明は、多種の化学物質を同時に認識し得る生物の味
覚、嗅覚を模倣した化学センサに関するものである。DETAILED DESCRIPTION OF THE INVENTION (Industrial Application Field) The present invention relates to a chemical sensor that imitates the sense of taste and smell of living organisms and can simultaneously recognize a variety of chemical substances.
（従来の技術）
生物の味覚、嗅覚は多種多様な化学物質を同時に認識す
る化学センサである。(Prior Art) The senses of taste and smell of living organisms are chemical sensors that simultaneously recognize a wide variety of chemical substances.
−ｍに、味及び匂いは上述の多種多様な化学物質の複雑
かつ綜合的な組合せに由来して居り、上記味覚・嗅覚が
どのような機構で認識を行うかについてはまだよくわか
っていないことが多い、ただ上記認識に際しての受容器
の応答は非特異的で、多数の受容器の応答パターンから
味や匂いを認識しているとされている。-M. Taste and smell are derived from complex and comprehensive combinations of the various chemical substances mentioned above, and it is still not well understood what kind of mechanism the sense of taste and smell uses to perform recognition. However, the receptor responses during the above recognition are non-specific, and it is said that tastes and smells are recognized from the response patterns of many receptors.
一方、味覚や嗅覚のように、複雑な味や匂いを人工的に
認識するシステムは、食品、化粧品工業、環境計測等の
広い分野でその要求が高く、これに対していくつかの研
究開発例がある。On the other hand, systems that artificially recognize complex tastes and odors, such as taste and smell, are in high demand in a wide range of fields such as food, cosmetics industries, and environmental measurement. There is.
例えば下記参考文献のように、森泉らにより水晶振動子
センサアレイとニューラルネットワークによるパターン
認識を用いた匂いセンサが試作されている。For example, as shown in the following reference, an odor sensor using a crystal oscillator sensor array and pattern recognition using a neural network has been prototyped by Moriizumi et al.
Ｔｏｋｏ ｅｔ ａｌ、Ｈプロシーディング オブ ザ
フィツス センサー シンポジウムＰｒｏｃｅｅｄｉ
ｎｇ ｏｆ Ｌｈｅ５ｔｈ ５ｅｎｓｏｒ Ｓｙｍｐｏ
ｓｉｕｍ、１９８６．Ｐ、２３１〜２３６．Ｔｏｋｏ
ｅｔａｌ、ＨＰｒｏｃｅｅｄｉｎｇ ｏｆ ｔｈｅ ６
Ｌｈ ５ｅｎｓｏｒ Ｓｙｍｐｏｓｉｕｌｍ。Toko et al, H Proceedings of the Fytus Sensor Symposium Proceedi
ng of Lhe5th 5ensor Sympo
sium, 1986. P, 231-236. Toko
etal, HProceeding of the 6
Lh 5ensor Symposium.
１９８６、Ｐ、２３１〜２３６．及び森泉ら；信学技報
？１ＢＩＥ８８−７８゜Ｐ−、４１〜４８
（発明が解決しようとする課題）
しかしかかる化学センサにおいては、上述の化学物質に
関する情報が電気伝導度などのアナログ量に変換される
ものが多く、多種多様の化学物質を同時認識するために
は、それぞれの当該化学物質に特異的に応答する多数の
受容部が必要であった。1986, P, 231-236. and Mori Izumi et al.; IEICE technical report? 1BIE88-78゜P-, 41-48 (Problems to be Solved by the Invention) However, in many of such chemical sensors, information regarding the above-mentioned chemical substances is converted into analog quantities such as electrical conductivity, and there are a wide variety of In order to recognize multiple chemical substances simultaneously, a large number of receptors that respond specifically to each chemical substance were required.
ところで生物の味覚・嗅覚においては、受容細胞の応答
はそれぞれの化学物質に対して非特異的ではあるが、該
化学物質に関する情報が多くの情報量をもつ神経インパ
ルスの発振パターンに変換され、これを脳でパターン認
識することができるものである。By the way, in the sense of taste and smell in living organisms, the response of receptor cells is non-specific to each chemical substance, but information about the chemical substance is converted into an oscillation pattern of nerve impulses containing a large amount of information. The brain can recognize patterns.
上記例示の化学センサによる化学物質に関する情報は、
水晶振動子の発振周波数の変化に変換され、ニューラル
ネットワークによりパターン認識されるので味覚・嗅覚
にかなり類似している。しかしながら、前記受容部の水
晶振動子の発振周波数の変化は、該水晶振動子に塗布さ
れた吸着膜が化学物質を吸着した際の膜の重量変化によ
り生ずることから、物理的に吸着されない化学物質は認
識されず、認識可能な化学物質に限界があった。Information regarding chemical substances obtained by the above-mentioned chemical sensor is as follows:
It is converted into changes in the oscillation frequency of a crystal oscillator, and is pattern recognized by a neural network, so it is quite similar to the sense of taste and smell. However, the change in the oscillation frequency of the crystal oscillator in the receiving section is caused by a change in the weight of the adsorption film applied to the crystal oscillator when it adsorbs a chemical substance. was not recognized, and there were limits to the chemicals that could be recognized.
そして単に水晶振動子の発振周波数のみの変化に依存す
ることから情報量が少なく、多種多様の化学物質を同時
認識する場合にはそれらの化学物質に応答する数多くの
受容部が必要となり、センサ構成を複雑化するばかりで
な（、使用目的によってはそれに応することが困難にな
る等の問題が免がれなかりた。The amount of information is small because it simply depends on changes in the oscillation frequency of the crystal oscillator, and when recognizing a wide variety of chemicals at the same time, a large number of receptors that respond to those chemicals are required, and the sensor configuration However, depending on the purpose of use, it becomes difficult to meet the requirements.
本発明は化学センサの上記受容部として多種多様の化学
物質に応答して発振パターンを変化する興奮性人工膜を
用い、その発振パターンを情報処理することにより、多
種の化学物質を同時認識する化学センサを提供すること
を目的とする。The present invention uses an excitable artificial membrane that changes its oscillation pattern in response to a wide variety of chemical substances as the above-mentioned receptor of a chemical sensor, and processes the oscillation pattern to provide a chemical sensor that simultaneously recognizes a wide variety of chemical substances. The purpose is to provide sensors.
（課題を解決するための手段）
本発明は、多種多様な化学物質に応答して発振パターン
を変化する２以上の興奮性人工膜を配置してなる受容部
と、その発振パターンの変化を情報として処理する情報
処理部とからなる化学センサである。(Means for Solving the Problems) The present invention provides a receptor comprising two or more excitable artificial membranes that change oscillation patterns in response to a wide variety of chemical substances, and information on changes in the oscillation patterns. This is a chemical sensor consisting of an information processing section that processes the information as follows.
この発明において興奮性人工膜は、例えば上記文献にも
示されるＤ ＯＰ Ｈ（Ｄｉｏｌｅｙｌ ｐｈｏｓｐｈ
ａｔｅ）ミリボア膜等である。このＤＯＰＨミリポア膜
は、その振動周波数、振幅及び波形が苦味、酸味、塩味
、甘味及びうま味の各種味覚物質のそれぞれに対して異
なった応答を示す、このような興奮性人工膜の発生した
発振パターンは、例えばこれをコンピュータに取り込み
多変量解析のような常法の統計的手法、及びバックプロ
パゲーションのようなニューラルネットワーク等の手段
を用いて情報の解析を行い、多種多様の化学物質を同時
認識し、味覚あるいは嗅覚に類似した味あるいは匂いと
しての認識を行うのである。In this invention, the excitable artificial membrane is, for example, DOP H (Dioleyl phospho
ate) millibore membrane, etc. This DOPH Millipore membrane exhibits oscillation patterns generated by such an excitable artificial membrane, whose vibration frequency, amplitude, and waveform respond differently to each of the various taste substances of bitterness, sourness, saltiness, sweetness, and umami. For example, by importing this into a computer and analyzing the information using conventional statistical methods such as multivariate analysis and neural networks such as backpropagation, it is possible to simultaneously recognize a wide variety of chemical substances. It is recognized as a taste or smell similar to the sense of taste or smell.
（作 用）
本発明化学センサにおいては、神経１ （Ｅｌの電気的
な発振があり、その発振パターンガ多種多様の化学物質
に応答して変化する興奮性人工膜が２つ以上設けられた
受容部を有する。そしてこの受容部によるパターンの情
報はその量が著しく多量のもので、かつ各化学物質に非
特異的のものではあるが、これらの情報のコンビエータ
処理により非常に幅広い化学物質の同時Ｌｙ２識を可能
なくしめることになる。(Function) In the chemical sensor of the present invention, there is electrical oscillation of nerve 1 (El), and the oscillation pattern changes in response to a wide variety of chemical substances. Although the amount of pattern information provided by this receptor is extremely large and is non-specific to each chemical substance, the processing of this information by the combinator allows simultaneous Ly2 detection of a wide range of chemical substances. It will make knowledge impossible.
（実施例） 以下本発明を具体的な実施例にて詳細に説明する。(Example) The present invention will be explained in detail below using specific examples.
まず興奮性人工膜の１つ（Ｓ、）として、合成脂質ジオ
レイルホスフェイト（ＤＯＰＨ）をミリポア社製のミリ
ポアフィルタ−に吸着させ作製した。First, one of the excitable artificial membranes (S) was prepared by adsorbing the synthetic lipid dioleyl phosphate (DOPH) onto a Millipore filter manufactured by Millipore.
得られた興奮性人工膜（Ｓｌ）を、本発明の実施態様で
ある第１図の１００ｍＭと５ＣＡＭのＭＣＩ水溶液を満
たしたセル１の間に隔膜として設置し、０，５菖の直流
電流と３０ｃ＋ａＨＪの圧力を印加することにより周波
数約１七で発振させた。面図において２はマノメータ、
３は直流電源、４はＸＹ−レコーダー ５は銀−塩化銀
電極である。次に苦味１酸味。The obtained excitable artificial membrane (Sl) was installed as a diaphragm between the cell 1 filled with 100 mM and 5 CAM MCI aqueous solution as shown in FIG. By applying a pressure of 30c+aHJ, oscillation was caused at a frequency of about 17. In the plan view, 2 is a manometer,
3 is a DC power supply, 4 is an XY-recorder, and 5 is a silver-silver chloride electrode. Next is bitterness and sourness.
塩味、甘味及びうま味の各種味覚物質を上述の５ｍＭＫ
ｃｆ水溶液中１ｍＭとなるように添加したところ発振周
波数は次表１に定性的に示すようにそれぞ杆に対して異
なった応答を示した。Salty, sweet and umami taste substances are mixed with the above 5mMK.
When added to a cf aqueous solution at a concentration of 1mM, the oscillation frequency showed different responses to each rod, as qualitatively shown in Table 1 below.
表 １
他に興奮性人工膜（Ｓｚ〜ＳＳ）としては、上記のよう
な味覚応答を示す上記ＤＯＰＨに対し、生体膜の構成部
分である、例えばジオレオイルホスファチジルコリン、
ジステアロイルホスファチジルエタノールアミンのよう
なリン脂質の１種あるいは数種を組み合わせて添加した
ものをミリポアフィルタ−に吸着させて作製し、上記Ｓ
、と同様に行って、同表１（Ｓ、〜ＳＳ）に示すような
味覚応答を示すものとした。すなわちこれら各興奮性人
工ＩＩＩ （Ｓ、〜Ｓ、）は、すべて味覚物質に対して
応答し、そして特に５１は苦味、Ｓ８は酸味、Ｓｓｔま
塩味、Ｓ４は甘味、更にＳ、はうま味にやや特異的に応
答するものであった。Table 1 Other examples of excitable artificial membranes (Sz to SS) include, for example, dioleoylphosphatidylcholine, which is a constituent part of biological membranes, in contrast to the DOPH that exhibits the above-mentioned taste response.
The above-mentioned S
, and the taste responses shown in Table 1 (S, ~SS) were obtained. That is, each of these excitatory artificial IIIs (S, ~S,) all respond to taste substances, and in particular, 51 has a bitter taste, S8 has a sour taste, Sst has a salty taste, S4 has a sweet taste, and S has a slightly umami taste. It responded specifically.
上記のようにして得た５種の興奮性人工膜Ｓ〜Ｓ、を、
第２図の如くセル１を上記と同様に５ｍＦＩＫｃ１及び
１００ｍＭＫＣｌニ区画し、か”）１００ｍＭＭＣＩ区
画部を長手方向に５区画に仕切って各５つの１００ｍＭ
区画部と５ＩＩＭ区画部としたセル間に順次設置した。The five types of excitable artificial membranes S to S obtained as described above were
As shown in Figure 2, cell 1 was divided into 5mFIKc1 and 100mM KCl sections in the same manner as above, and the 100mM MCI section was partitioned into 5 sections in the longitudinal direction, each containing 5 100mM KCl sections.
They were installed sequentially between the cells defined as the compartment and 5IIM compartments.
そして、０．１−１．０ ｄの直流電流及び２０〜３０
ａ＋＋ｔｌ□０の圧力を印加することにより各興奮性人
工膜Ｓ、〜Ｓ、を周波数的Ｉ Ｈｚで発振させた。両図
において５は各区画セルに設置した銀塩化銀１掻、６は
周波数カウンター ７はコンピューターである。and 0.1-1.0 d DC current and 20-30 d
By applying a pressure of a++tl□0, each excitable artificial membrane S, ~S, was caused to oscillate at a frequency of I Hz. In both figures, 5 is a silver chloride unit installed in each compartment cell, 6 is a frequency counter, and 7 is a computer.
次に苦味、酸味、塩味、甘味及びうま味の各種味覚物質
の混合物を、５ｎＭＫＣｆ水溶液中１１となるように添
加しそのときの発振周波数を周波数カウンタで測定し、
そのデータをコンピューターへ転送しコンピューター上
で情報処理した。この場合例えば興奮性人工ＭＳｌの発
振周波数の変化をΔｆ、とし、上記酸味、塩味、甘味、
うま味の効果を除去するために興奮性人工膜Ｓ２〜Ｓ、
の周波数変化Δｒ２〜Δｆ、に適当な係数を乗じた後上
記ΔＥｌより差し引き、これを苦味応答Ｒ１とした。Next, a mixture of various taste substances of bitterness, sourness, saltiness, sweetness and umami was added to the 5nM KCf aqueous solution at a concentration of 11, and the oscillation frequency at that time was measured using a frequency counter.
The data was transferred to a computer and processed there. In this case, for example, let the change in the oscillation frequency of the excitatory artificial MSI be Δf, and the sour, salty, sweet taste,
Excitable artificial membranes S2-S to remove the umami effect,
The frequency changes Δr2 to Δf were multiplied by an appropriate coefficient and then subtracted from the above ΔEl, and this was defined as the bitterness response R1.
すなわち
Ｒ，＝Δｆ、−０，１（Δｆ□＋Δｆ、＋Δｆ、＋Δｔ
ｓ）とした。同様にして、酸味応答Ｒ１，塩味応答Ｒ３
＋甘味応答Ｒ１，うま味応答Ｒ，を表わした。ただし、
苦味に対する周波数変化は他よりも大きいのでΔｆ、に
は係数０．６を乗じた。またＲ１は減少効果を示すため
に符号を逆にした。That is, R, = Δf, -0, 1 (Δf□+Δf, +Δf, +Δt
s). Similarly, sour taste response R1, salty taste response R3
+Sweetness response R1, umami response R. however,
Since the frequency change for bitter taste is larger than for other tastes, Δf was multiplied by a coefficient of 0.6. Also, the sign of R1 was reversed to show the reduction effect.
第３図は、（ａ）；苦味４０糟ｏ１％、酸味２０ｍｏ１
ｍ。Figure 3 shows (a); bitterness 40 mo1%, sourness 20 mo1
m.
塩味１５ｍｏｌχ 甘味１５ｍｏｌＸ、 うま味１０ｍ
ｏｌχ。Salty taste 15molχ, sweetness 15molχ, umami taste 10m
olχ.
（ｂ）：苦味１０＋ｏｌＸ、酸味５０ｍｏｌχ２塩味１
０ｍｏｌＸ甘味５ ｍｏｌχ、うま味２０ｓ＋ｏｌχ。(b): Bitterness 10+olX, sourness 50molχ2 salty 1
0 molX sweetness 5 molχ, umami 20s+olχ.
（Ｃ）：苦味５ｍｏ１χ１酸味２０ａｏｌχ、塩味１０
ｍｏｌχ。(C): bitterness 5molχ1 sourness 20aolχ, salty 10
molχ.
甘味６０ｍｏ１％、 うま味５ ｎｏｌ！より夫々成
る混合物質を添加した場合の測定結果である。同図の如
く上述の混合物質中に含まれる各味覚物質の量が定性的
に認識されることが６１認された。Sweetness 60mol1%, Umami 5 nol! These are the measurement results when a mixed substance consisting of each of these substances was added. As shown in the figure, it was found that the amount of each taste substance contained in the above-mentioned mixed substance could be recognized qualitatively.
以上の実施例は、味覚物質の認識例について説明したが
、β−ヨノンのような匂い物質についても同様に発振パ
ターンが変化するので上記と同様に認識することが可能
であり、更にトリオレインのような生体１１Ａ１似吻質
や蛋白質の組み合わせにより、多種多様の化学物質に応
答するようになり同様の認識が可能である。The above example describes an example of recognition of a taste substance, but odorants such as β-ionone can also be recognized in the same way as the oscillation pattern changes, and triolein can also be recognized in the same way. The combination of biological 11A1-like proboscis and proteins allows it to respond to a wide variety of chemical substances, making it possible to recognize them in the same way.
また上記実施例は、各化学物質による発振周波数の変化
のみを情報として極めて簡単な方法で認識した例を説明
したが、この発振周波数の他に振幅及び発形の変化を情
報として、同様に多変量解析のような統計的手法及びパ
ックプロパゲーションのようなニューラル名ットワーク
による解析でさらに高度な認識及び学習能力をもたせる
ことも可能である。Furthermore, in the above embodiment, only the changes in the oscillation frequency due to each chemical substance are recognized in an extremely simple manner as information, but in addition to the oscillation frequency, changes in amplitude and oscillation shape can also be recognized in a similar manner. It is also possible to provide even more advanced recognition and learning abilities through analysis using statistical methods such as variable analysis and neural networks such as pack propagation.
（発明の効果）
以上の説明から明らかなように、本発明化学センサによ
れば、上記神経類（１２の電気的発振がありそのパター
ンが多様の化学′１！Ｆｌｚに応答して変化する２以上
の興奮性人工膜からなる受容部の存在により、多種多様
の化学物質を同時認識することが可能となるものであり
、従来の化学センサが実現できなかった味覚・嗅覚に著
しく類似した機能を有する化学センサを提供し上述の問
題を解消する効果を有する。(Effects of the Invention) As is clear from the above explanation, according to the chemical sensor of the present invention, there are 12 electrical oscillations of the above-mentioned nerves (2) whose patterns change in response to various chemicals '1!Flz'. The existence of receptors made of excitable artificial membranes makes it possible to simultaneously recognize a wide variety of chemical substances, and enables functions remarkably similar to taste and smell, which conventional chemical sensors have not been able to achieve. The present invention has the effect of solving the above-mentioned problems.
第１図及び第２図は本発明の詳細な説明図、第３図は味
覚物質混合物の定性的認識を示す図である。
１・・・セル、３・・・電源、５・・・電極、６・・・
周波数カウンタ、７・・・コンビエータ−Ｓ、〜Ｓ、・
・・興奮性人工膜。
木￥呵ズ雄杷杆説明図
第 ｌ ｚFIGS. 1 and 2 are detailed illustrations of the present invention, and FIG. 3 is a diagram showing qualitative recognition of a tastant mixture. 1... Cell, 3... Power supply, 5... Electrode, 6...
Frequency counter, 7... Combiator-S, ~S,・
...excitable artificial membrane. Wood loquat explanatory diagram No. l z
Claims (1)
種多様の化学物質に応答して変化する２以上の興奮性人
工膜からなる受容部と、その発振パターンの変化を情報
として処理する情報処理部とから成る化学センサ。There is electrical oscillation similar to that of nerves, and the oscillation pattern changes in response to a wide variety of chemical substances.A receptor consisting of two or more excitable artificial membranes, and information processing that processes changes in the oscillation pattern as information. A chemical sensor consisting of parts.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP1105954A JP2837867B2 (en) | 1989-04-27 | 1989-04-27 | Chemical sensor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP1105954A JP2837867B2 (en) | 1989-04-27 | 1989-04-27 | Chemical sensor |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPH02285248A true JPH02285248A (en) | 1990-11-22 |
| JP2837867B2 JP2837867B2 (en) | 1998-12-16 |
Family
ID=14421221
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP1105954A Expired - Fee Related JP2837867B2 (en) | 1989-04-27 | 1989-04-27 | Chemical sensor |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP2837867B2 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018097197A1 (en) * | 2016-11-28 | 2018-05-31 | 国立研究開発法人物質・材料研究機構 | Sample identification method based on chemical sensor measurement, sample identification device, and input parameter estimation method |
| WO2018101128A1 (en) * | 2016-11-29 | 2018-06-07 | 国立研究開発法人物質・材料研究機構 | Method and device for estimating value to be estimated associated with specimen |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS62150119A (en) * | 1985-12-25 | 1987-07-04 | Mitsui & Co Ltd | Detection method using self-exciting oscillation |
| JPS62187252A (en) * | 1986-02-13 | 1987-08-15 | Hitachi Ltd | Palate detector |
| JPS6332364A (en) * | 1986-07-25 | 1988-02-12 | Toshiba Corp | Function film having self-excited oscillation effect |
-
1989
- 1989-04-27 JP JP1105954A patent/JP2837867B2/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS62150119A (en) * | 1985-12-25 | 1987-07-04 | Mitsui & Co Ltd | Detection method using self-exciting oscillation |
| JPS62187252A (en) * | 1986-02-13 | 1987-08-15 | Hitachi Ltd | Palate detector |
| JPS6332364A (en) * | 1986-07-25 | 1988-02-12 | Toshiba Corp | Function film having self-excited oscillation effect |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018097197A1 (en) * | 2016-11-28 | 2018-05-31 | 国立研究開発法人物質・材料研究機構 | Sample identification method based on chemical sensor measurement, sample identification device, and input parameter estimation method |
| US11353437B2 (en) | 2016-11-28 | 2022-06-07 | National Institute For Materials Science | Sample identification method based on chemical sensor measurement, sample identification device, and input parameter estimation method |
| WO2018101128A1 (en) * | 2016-11-29 | 2018-06-07 | 国立研究開発法人物質・材料研究機構 | Method and device for estimating value to be estimated associated with specimen |
| JPWO2018101128A1 (en) * | 2016-11-29 | 2019-06-27 | 国立研究開発法人物質・材料研究機構 | Method and apparatus for estimating an estimated target value associated with a sample |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2837867B2 (en) | 1998-12-16 |
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