JPH06123700A - Method and device for measuring infrared-ray absorption - Google Patents
Method and device for measuring infrared-ray absorptionInfo
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- JPH06123700A JPH06123700A JP16864292A JP16864292A JPH06123700A JP H06123700 A JPH06123700 A JP H06123700A JP 16864292 A JP16864292 A JP 16864292A JP 16864292 A JP16864292 A JP 16864292A JP H06123700 A JPH06123700 A JP H06123700A
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- measured
- infrared light
- absorption
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- light
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Abstract
Description
【0001】[0001]
【産業上の利用分野】本発明は、被測定物中の物質によ
る赤外線吸収度を測定し、あるいはその分布を測定する
方法と装置に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and apparatus for measuring infrared absorption of a substance in an object to be measured or measuring its distribution.
【0002】[0002]
【従来の技術】近赤外光領域において、伸縮振動および
変角振動の倍音、結合音の吸収スペクトルを示す分子の
結合としては、O−H,C−H,N−H(HがD(重水
素)でも可)結合があげられる。これらの吸収スペクト
ルの0次元〜2次元情報を計測することは可能である
が、同時に散乱成分も取り込んでしまい、そのままで
は、真の吸収成分を計測したとはいい難い。2. Description of the Related Art In the near-infrared light region, OH, C--H, N--H (H is D ( Deuterium) is also acceptable). It is possible to measure 0-dimensional to 2-dimensional information of these absorption spectra, but at the same time, the scattering component is also taken in, and it is hard to say that the true absorption component is measured as it is.
【0003】[0003]
【発明が解決しようとする課題】このため、従来技術で
は被測定物質の定量化が困難であった。ここで、上記物
質の吸収スペクトルは、近赤外域において波長により大
きく変化し、他方で、散乱光の強度は、波長が近似して
いる場合には、相対的には変化が小さい。For this reason, it has been difficult to quantify the substance to be measured in the prior art. Here, the absorption spectrum of the substance largely changes depending on the wavelength in the near-infrared region, while the intensities of scattered light relatively change when the wavelengths are close to each other.
【0004】本発明は、この知見にもとづき完成された
ものであって、観測光量から散乱光の寄与分を取り除く
ことにより、赤外線吸光度を測定し、これによって吸光
物質の濃度の定量を可能にした方法と装置を提供するも
のである。The present invention has been completed based on this finding, and the infrared absorption is measured by removing the contribution of scattered light from the observed light quantity, thereby enabling the concentration of the light-absorbing substance to be quantified. Methods and apparatus are provided.
【0005】[0005]
【課題を解決するための手段】本発明に係る測定方法
は、少なくとも2種類の波長の赤外光であって、被測定
物中の物質による吸光度差が十分に大きく、かつ散乱度
差が十分に小さい近傍の波長の赤外光で被測定物を照明
し、当該被測定物からの反射光の光量を少なくとも2種
類の波長ごとに検出(あるいは撮像)する第1ステップ
と、波長ごとに検出(あるいは撮像)された反射光の光
量の一方を他方により演算して散乱光の寄与分を実質的
に消去(全部もしくは大部分を消去)し、被測定物中の
物質による赤外光の吸収度(あるいはその分布)を測定
する第2ステップとを備える。なお、第2のステップで
測定した赤外線の吸収度と、あらかじめ求められる被測
定物中の物質の吸収度にもとづき、吸光物質の濃度を定
量するようにしてもよい。The measuring method according to the present invention is an infrared light having at least two kinds of wavelengths, and the difference in absorbance between the substances in the object to be measured is sufficiently large and the difference in scattering degree is sufficient. The first step of illuminating the object to be measured with infrared light having a small wavelength in the vicinity, and detecting (or imaging) the light amount of the reflected light from the object to be measured for at least two types of wavelengths, and detecting for each wavelength. (Or image) One of the reflected light quantity is calculated by the other, and the contribution of scattered light is virtually eliminated (all or most of it is eliminated), and the infrared light is absorbed by the substance in the DUT. A second step of measuring the degree (or its distribution). The concentration of the light-absorbing substance may be quantified based on the infrared absorption measured in the second step and the absorption of the substance in the object to be measured, which is obtained in advance.
【0006】また、本発明に係る測定装置は、少なくと
も2種類の波長の赤外光であって、被測定物中の物質に
よる吸光度差が十分に大きく、かつ散乱度差が十分に小
さい近傍の波長の赤外光で被測定物を照明する照明手段
と、被測定物からの反射光の像を少なくとも2種類の波
長ごとに撮像する撮像手段と、波長ごとに撮像された反
射光の像の強度の一方を他方により画像演算する演算手
段とを備える。ここで、演算手段により求められた画像
演算データと、あらかじめ求められる被測定物中の物質
の波長ごとの光の吸収度の分布にもとづき、被測定物に
おける光吸収物質濃度の分布を定量する定量手段を更に
備える構成としてもよい。Further, the measuring apparatus according to the present invention is an infrared ray having at least two kinds of wavelengths, and the difference in absorbance between substances in the object to be measured is sufficiently large and the difference in scattering degree is sufficiently small. An illumination unit that illuminates an object to be measured with infrared light having a wavelength, an image capturing unit that captures an image of reflected light from the object to be measured for at least two types of wavelengths, and an image of the reflected light captured for each wavelength. And a calculation means for calculating an image of one of the intensities by the other. Here, based on the image calculation data obtained by the calculating means and the distribution of the light absorption for each wavelength of the substance in the DUT obtained in advance, the quantitative determination of the distribution of the concentration of the light absorbing substance in the DUT. It may be configured to further include means.
【0007】[0007]
【作用】本発明が測定の対象とする物質は、近傍の異な
る二波長の赤外光に対して、吸収スペクトル(すなわち
光の吸収性)に十分に大きな差異のある物質であり、こ
のような物質としては、水、アルコール、重水、ベンゼ
ンあるいはトリエチルアミンなどがある。これらの分子
は、それぞれH−O−H,R−O−H,O−D,C−
H,N−H結合を持ち、伸縮振動、変角振動の倍音、結
合音が、近赤外域においてそれぞれ特徴的な吸収スペク
トルを示す。The substance to be measured by the present invention is a substance having a sufficiently large difference in absorption spectrum (that is, light absorptivity) with respect to infrared light of two different wavelengths in the vicinity. Examples of the substance include water, alcohol, heavy water, benzene, triethylamine and the like. These molecules are respectively H--O--H, R--O--H, O--D, C--
It has H, N-H bonds, and stretching vibration, bending vibration overtone, and coupling sound show characteristic absorption spectra in the near infrared region, respectively.
【0008】これを具体的に示したのが、図1および図
2である。本発明者は、波長1100nmから2300
nmの範囲において、水、重水、エタノール、ベンゼ
ン、石油エーテル、トリエチルアミンについて、その吸
収度の波長依存性を調べた。図示の通り、赤色より長波
長の赤外域において、僅かな波長の変化で急激に吸光性
が変化する特徴的なスペクトルが確認できた。なお、測
定には光路長が200μmのセルを用い、また水および
重水以外は縦軸スケールが5倍になっている。This is specifically shown in FIGS. 1 and 2. The present inventor has found that the wavelength of 1100 nm to 2300
In the range of nm, the wavelength dependence of the absorption was investigated for water, heavy water, ethanol, benzene, petroleum ether, and triethylamine. As shown in the figure, in the infrared region having a wavelength longer than that of red, a characteristic spectrum in which the light absorption property is rapidly changed by a slight wavelength change was confirmed. A cell with an optical path length of 200 μm was used for the measurement, and the scale on the vertical axis was 5 times, except for water and heavy water.
【0009】ところで、近傍の波長においては、被測定
物の表面あるいは内部の散乱物質による散乱強度は大き
くことなることはなく、Mieの散乱理論によれば略均
等である。そこで、各結合の吸収スペクトル曲線のう
ち、極大波長〔λ0 〕前後の微分係数の最も大きい波長
領域の単調に連続した任意の2点の吸収情報を計測し、
適切な演算処理を行うことにより、被測定物質の散乱成
分を補正(散乱成分情報を実質的に消去)し、吸収成分
情報をより正確に計測することが可能になる。By the way, in the vicinity of the wavelength, the scattering intensity by the scattering substance on the surface or inside of the object to be measured does not become large, and it is almost equal according to Mie's scattering theory. Therefore, in the absorption spectrum curve of each bond, the absorption information at any two points that are monotonically continuous in the wavelength region with the largest differential coefficient before and after the maximum wavelength [λ 0 ] is measured,
By performing appropriate arithmetic processing, it becomes possible to correct the scattering component of the substance to be measured (substantially eliminate the scattering component information) and measure the absorption component information more accurately.
【0010】[0010]
【実施例】具体的な実施例の説明に先立ち、本発明の原
理を更に詳しく説明する。EXAMPLES Prior to the description of specific examples, the principle of the present invention will be described in more detail.
【0011】被測定物は吸収物質を含み、その表面およ
び内部は散乱性を有する(例えば、被測定物は散乱体と
しての植物繊維に、吸光物質としての水分が含浸されて
形成されている)ものと仮定し、これに互いに近似した
二波長(λ1 ,λ2 )の赤外光が照射されたとする。The object to be measured contains an absorbing substance, and its surface and inside have scattering properties (for example, the object to be measured is formed by impregnating plant fiber as a scatterer with water as a light absorbing substance). It is assumed that the infrared light of two wavelengths (λ 1 , λ 2 ) that are close to each other is irradiated.
【0012】ここで、赤外光λ1 ,λ2 の散乱度を
S1 ,S2 とし、吸収度はA1 ,A2 であるものとす
る。この波長λ1 ,λ2 光の照射により、当然に波長λ
1 ,λ2 の散乱反射光が検出されるが、この検出光のエ
ネルギーをI1,I2とする。照射光エネルギーをI0 、
反射光エネルギーをIとしたとき、散乱度をS、吸収度
をAで代表させると、 I=I0 ・e-(A+S)…(1) となるから、 ln(I1 /I0 )=−(A1 +S1 )…(2) ln(I2 /I0 )=−(A2 +S2 )…(3) となる。(2)式と(3)式の差を求めると、 ln(I1 /I0 )−ln(I2 /I0 ) =−(A1 +S1 )+(A2 +S2 )…(4) となる。Here, it is assumed that the scattering degrees of the infrared light λ 1 and λ 2 are S 1 and S 2 , and the absorption degrees are A 1 and A 2 . By irradiating this wavelength λ 1 and λ 2 light, the wavelength λ
The scattered reflected light of 1 and λ 2 is detected, and the energies of the detected lights are I 1 and I 2 . The irradiation light energy is I 0 ,
When the reflected light energy is I and the scattering degree is represented by S and the absorption degree is represented by A, I = I 0 · e − (A + S) (1), so that ln (I 1 / I 0 ) = - a (a 2 + S 2) ... (3) - (a 1 + S 1) ... (2) ln (I 2 / I 0) =. When the difference between the expressions (2) and (3) is obtained, ln (I 1 / I 0 ) −ln (I 2 / I 0 ) = − (A 1 + S 1 ) + (A 2 + S 2 ) ... (4) ).
【0013】ここで、散乱度S1 ,S2 については、波
長λ1 ,λ2 が近似しているために同等であるとする
と、S1 =S2 とすることができ、(4)式は ln(I1 /I2 )=−(A1 +A2 )…(5) となる。これは、吸光度のみの差であって、(5)式の
演算により散乱情報を実質的に消去した吸収情報が得ら
れることを意味する。Here, if the scattering degrees S 1 and S 2 are equal because the wavelengths λ 1 and λ 2 are similar, then S 1 = S 2 can be obtained, and the equation (4) can be obtained. ln (I 1 / I 2) is = - a (a 1 + a 2) ... (5). This means that the difference is only in the absorbance, and the absorption information in which the scattering information is substantially eliminated can be obtained by the calculation of the equation (5).
【0014】図3,図4により、上記の原理を図解しな
がら説明する。まず図3に示すように、光源(図示せ
ず)からのエネルギーがI0 の光で被測定物2を照明
し、その反射光(エネルギーがI)を光検出器3により
検出する。ここで、光源は波長λ 1 ,λ2 の赤外光を含
む光を投射し、フィルタ4は波長λ1 ,λ2 の光を選択
して択一的に通過させるようになっている。The above principle should not be illustrated with reference to FIGS. 3 and 4.
I will explain. First, as shown in FIG. 3, a light source (not shown)
Energy from0Illuminates DUT 2 with
Then, the reflected light (energy is I) is detected by the photodetector 3.
To detect. Here, the light source has a wavelength λ 1, Λ2Including infrared light
And the filter 4 has a wavelength λ.1, Λ2Choose the light of
Then, it is designed to pass through alternatively.
【0015】被測定物2のある面積に照射された相対エ
ネルギーI0 の光は、被測定物2の散乱度S1 ,S2 に
応じて散乱され、かつ吸収度A1 ,A2 に応じて吸収さ
れ、エネルギーI1 ,I2 の反射光がフィルタ4を介し
て光検出器3に入射される。光検出器3はI1 ,I2 の
エネルギー差を電気信号に変換し、アナライザ5に出力
する。アナライザ5は光検出器3の出力をA/D変換し
て出力装置6の送り、あるいは前述の(5)式の演算結
果を出力装置6に送り、出力装置6はこれらのデータを
可視画像として表示あるいは出力する。The light having the relative energy I 0 applied to a certain area of the object to be measured 2 is scattered according to the scattering degrees S 1 and S 2 of the object to be measured 2 and also according to the absorbances A 1 and A 2 . The reflected light of the energies I 1 and I 2 is incident on the photodetector 3 via the filter 4. The photodetector 3 converts the energy difference between I 1 and I 2 into an electric signal and outputs it to the analyzer 5. The analyzer 5 A / D converts the output of the photodetector 3 and sends it to the output device 6, or sends the calculation result of the above equation (5) to the output device 6, and the output device 6 converts these data into a visible image. Display or output.
【0016】ここで、図4(a)のように、被測定物2
の吸収度Aは波長λ0 でピーク値、波長λ3 でボトム値
になっているとすると、その間の波長λ1 ,λ2 では吸
収曲線の微分係数は大きい。これに対し、図4(b)の
ように、散乱度Sは波長λ0→λ1 →λ2 →λ3 にわた
って緩やかに変化し、近似した波長λ1 ,λ2 では略同
等になっている。したがって、散乱度Sの寄与分を差し
引いて、吸収度A寄与分のみを得ることができる。この
吸収度Aに対応する測定データは、被測定物2に含まれ
る物質(吸光物質)の濃度に対応しており、したがって
濃度の定量が可能になる。Here, as shown in FIG.
Assuming that the absorption A has a peak value at the wavelength λ 0 and a bottom value at the wavelength λ 3 , the absorption curve has a large differential coefficient at the wavelengths λ 1 and λ 2 . On the other hand, as shown in FIG. 4B, the scattering degree S changes gently over the wavelength λ 0 → λ 1 → λ 2 → λ 3 and is approximately equal at the approximated wavelengths λ 1 and λ 2 . . Therefore, by subtracting the contribution of the scattering degree S, only the contribution of the absorbance A can be obtained. The measurement data corresponding to the absorbance A corresponds to the concentration of the substance (light absorbing substance) contained in the DUT 2, and therefore the concentration can be quantified.
【0017】次に、本発明に係る測定装置および測定方
法の概要を説明する。Next, the outline of the measuring apparatus and the measuring method according to the present invention will be described.
【0018】図5はその装置の構成を示す概要図であ
る。容器に入れた試料である被測定物体2は、散乱性と
吸光性を有する。これは、光源1であるタングステンラ
ンプ(300W)により照明されるが、この光源1は少
くとも二波長(λ1 ,λ2 )の赤外光を含む光を出力す
る。この二波長とは、被測定物質の吸収度に大きな差が
あり、かつ散乱度に大差がない近似した二波長である。
この被測定物体1の像は、光学レンズ系7およびフィル
タホルダ40にセットされる波長選択フィルタ41,4
2を介して、赤外線ビジコンカメラ31により撮像され
る。FIG. 5 is a schematic diagram showing the structure of the apparatus. The measured object 2, which is a sample placed in a container, has a scattering property and an absorptivity. This is illuminated by a tungsten lamp (300 W) which is the light source 1, and this light source 1 outputs light containing infrared light of at least two wavelengths (λ 1 , λ 2 ). The two wavelengths are approximate two wavelengths in which there is a large difference in the absorption of the substance to be measured and a large difference in the scattering.
The image of the object 1 to be measured is set by the optical lens system 7 and the filter holder 40.
The image is picked up by the infrared vidicon camera 31 via 2.
【0019】ここで、波長選択フィルタ41,42はそ
れぞれ、上記二波長λ1 ,λ2 の赤外光の一方のみを透
過するようになっており、フィルタホルダ40により交
互に切り替え得る。なお、光源2がλ1 ,λ2 の赤外光
のみを選択して択一的に出力できるときは、上記の波長
選択フィルタ41,42は不要となる。Here, the wavelength selection filters 41 and 42 are adapted to transmit only one of the infrared light having the two wavelengths λ 1 and λ 2 , respectively, and can be switched alternately by the filter holder 40. When the light source 2 can select and output only the infrared light of λ 1 and λ 2 , the wavelength selection filters 41 and 42 described above are not necessary.
【0020】赤外線ビジコンカメラ5で撮像されたこと
による被測定物体2の画像データは画像処理装置8に送
られ、デジタルデータに変換された後、所定の処理がさ
れる。すなわち、画像処理装置8は少なくとも画像記憶
部81と画像演算部82を有し、波長λ1 ,λ2 の画像
データはそれぞれ画像記憶部81に記憶される。そし
て、画像演算部82において、図4および(5)式に対
応する演算、すなわち散乱の寄与分の全部または大部分
を消去する処理がされる。The image data of the object 2 to be measured, which has been picked up by the infrared vidicon camera 5, is sent to the image processing device 8, converted into digital data, and then subjected to predetermined processing. That is, the image processing device 8 has at least the image storage unit 81 and the image calculation unit 82, and the image data of the wavelengths λ 1 and λ 2 are stored in the image storage unit 81, respectively. Then, the image calculation unit 82 performs a calculation corresponding to FIGS. 4 and (5), that is, a process of eliminating all or most of the contribution of scattering.
【0021】撮像された画像データに対して上記の演算
をした後の画像データは、それぞれビデオモニタ91で
必要に応じて表示され、あるいはビデオプリンタ92で
印刷される。これにより、被測定物体2の赤外線吸収情
報を、二次元的に表示し把握することができる。The image data obtained by performing the above calculation on the picked-up image data is displayed on the video monitor 91 as necessary or printed by the video printer 92. Thereby, the infrared absorption information of the measured object 2 can be two-dimensionally displayed and grasped.
【0022】以下に、具体的実施例について詳細に説明
する。Specific examples will be described in detail below.
【0023】実施例1 試料として、70〜250メッシュのシリカゲルの粉末
を容器に入れたものを用いた。なお、全ての実施例にお
いて、特に言及がない限り、光源は300W×4のタン
グステンランプを用い、検出器には赤外線ビジコンカメ
ラを用い、演算処理には画像解析処理装置を用いた。ま
た、波長選択用光学フィルタとしては、1.94μm
と、1.8μmと、1.68μmの透過特性を有するフ
ィルタを使用した。 Example 1 As a sample, a silica gel powder of 70 to 250 mesh contained in a container was used. In all the examples, unless otherwise specified, a 300 W × 4 tungsten lamp was used as a light source, an infrared vidicon camera was used as a detector, and an image analysis processing device was used for arithmetic processing. Also, as the wavelength selection optical filter, 1.94 μm
Filters having transmission characteristics of 1.8 μm and 1.68 μm were used.
【0024】試料の一部を水で湿らせ、その部分の画像
を、上記3種のフィルタを通して画像記憶部に取り込ん
だ。次に、アナライザである画像演算部で(1.94μ
m画像)/(1.8μm画像)と、(1.94μm画
像)/(1.68μm画像)の演算を行った。A portion of the sample was moistened with water, and the image of that portion was taken into the image storage section through the above three types of filters. Next, in the image calculation unit that is the analyzer (1.94μ
m image) / (1.8 μm image) and (1.94 μm image) / (1.68 μm image).
【0025】それぞれの結果を、図7,図8の写真に示
す。この2つの図を比較してみると、図7の方が図8よ
りもシリカゲル表面のザラつきが少なく見えることがわ
かる。なお、このことはアナライザの輝度プロファイル
を見ても明白である。図7の方がザラつきが少なく見え
るのは、本発明の方法によって、散乱情報の寄与分をよ
り少なくしたためである。The results are shown in the photographs of FIGS. 7 and 8. Comparing these two figures, it can be seen that the surface roughness of the silica gel looks smaller in FIG. 7 than in FIG. It should be noted that this is clear when looking at the brightness profile of the analyzer. The reason why the graininess in FIG. 7 appears smaller is that the contribution of scattered information is made smaller by the method of the present invention.
【0026】実施例2 試料として、一部に水分を含浸させた木材の小片を用い
た。実施例1と同様にしてメモリに情報を取り込み、同
様に演算処理をしてビデオプリンタに出力させた結果
が、図11,12,13,14の写真である。図11,
12は水平方向、図13,14は垂直方向の輝度プロフ
ァイルであり、これを見ても、本発明の方法における方
が表面散乱成分を軽減し、より正確な吸収情報を示して
いることがわかる。 Example 2 A small piece of wood partially impregnated with water was used as a sample. 11, 12, 13, and 14 show the results obtained by taking in information in the memory, performing arithmetic processing in the same manner as in Example 1, and outputting the information to the video printer. 11,
12 shows the luminance profile in the horizontal direction, and FIGS. 13 and 14 show the luminance profile in the vertical direction. It can be seen that the method of the present invention reduces the surface scattering component and shows more accurate absorption information. .
【0027】実施例3 実施例1,2では、水分の吸収(O−Hの吸収)イメー
ジにおける下地表面散乱成分の低減であったが、この実
施例3では、O−Hと共にポリスチレンによるC−Hの
吸収(ベンゼン環のC−H)の吸収イメージを同時に比
較している。図6は、この水とポリスチレンの赤外線吸
光度を示している。 Example 3 In Examples 1 and 2, reduction of the underlying surface scattering component in the image of absorption of water (absorption of O—H) was observed, but in this Example 3, together with O—H, C-by polystyrene was used. The absorption images of H absorption (C—H of benzene ring) are simultaneously compared. FIG. 6 shows the infrared absorbance of this water and polystyrene.
【0028】試料としては、実施例1と同様にシリカゲ
ルの粉末を用い、その上にポリスチレン細片と水を載せ
た。次に、波長1.94μm、1.8μmおよび1.6
8μmのフィルタで3つの画像を画像メモリに取り込
み、実施例1と同様の演算を行ったものを、図9,10
に示す。本発明方法によれば、散乱成分の低減(すなわ
ち、より正確な吸収分の定量)をし、なおかつ、C−H
吸収とO−H吸収を輝度信号の逆転像として、同時に測
定できる。これにより、いわゆる被測定物質の定性が可
能となっている。As the sample, silica gel powder was used as in Example 1, and polystyrene pieces and water were placed thereon. Then wavelengths of 1.94 μm, 1.8 μm and 1.6
FIGS. 9 and 10 show three images captured by an 8 μm filter into an image memory and subjected to the same calculation as in Example 1.
Shown in. According to the method of the present invention, scattering components are reduced (that is, more accurate quantification of absorption components), and C-H
The absorption and the OH absorption can be simultaneously measured as an inverted image of the luminance signal. This allows so-called qualitative determination of the substance to be measured.
【0029】もちろん、本発明方法は、フィルタを用い
なくとも、光源で波長を選択しても可能であるし、前述
の結合をもつ他の物質について適用できる。また、光検
出器をかえれば、たとえば一画素のセンサあるいは一次
元のリニアセンサを用いれば、0次元あるいは1次元の
測定が可能となる。Of course, the method of the present invention can be applied without using a filter even if the wavelength is selected by the light source, and can be applied to other substances having the above-mentioned coupling. Further, if the photodetector is replaced with a one-pixel sensor or a one-dimensional linear sensor, 0-dimensional or one-dimensional measurement can be performed.
【0030】[0030]
【発明の効果】以上の通り、本発明が測定の対象とする
物質は、H−O−H,R−O−H,O−D,C−H,N
−H等の結合を持ち、伸縮振動、変角振動の倍音、結合
音が、近赤外域においてそれぞれ特徴的な吸収スペクト
ルを示す物質であるが、これらは、赤外域において僅か
な波長の変化で急激に吸光性が変化する。As described above, the substances to be measured by the present invention are H-O-H, R-O-H, O-D, C-H and N.
Although it has a bond such as -H, the stretching vibration, the overtone of the bending vibration, and the combined sound each have a characteristic absorption spectrum in the near infrared region. Absorbance changes rapidly.
【0031】一方、かかる近傍の波長においては、被測
定物の表面あるいは内部の散乱物質により散乱強度は大
きく異なることはなく、略均等である。そこで、各結合
の吸収スペクトル曲線のうち、極大波長前後の微分係数
の大きい波長領域の単調に連続した任意の2点の吸収情
報を計測し、適切な演算処理を行うことにより、被測定
物質の散乱成分を実質的な意味で消去する補正をし、吸
収成分情報をより正確に計測することが可能になる。On the other hand, at such wavelengths in the vicinity, the scattering intensities do not greatly vary depending on the scattering substance on the surface or inside of the object to be measured, and are substantially equal. Therefore, in the absorption spectrum curve of each bond, the absorption information at any two points that are monotonically continuous in the wavelength region with a large differential coefficient before and after the maximum wavelength is measured, and appropriate calculation processing is performed to determine the It becomes possible to correct the scattered component in a substantial sense and measure the absorbed component information more accurately.
【0032】このため、従来の吸収量測定方式の定量装
置と比較して、より正確な吸収量の定量ができる。ま
た、2次元モードで使用すれば、より正確な吸収分布が
わかる。しかも、試料の形状による影響が軽減される。
ここで、2次元モード時には、近赤外領域を使用するた
めに入力レンズとして一般ガラス光学レンズが利用で
き、かつ検出器の冷却も必要ないため、装置全体が安価
となる。さらに、今まで非破壊識別が難しかった物に対
し、簡単に識別可能となる利点もある。Therefore, the amount of absorption can be quantified more accurately as compared with a conventional absorption amount measuring type quantification device. If it is used in the two-dimensional mode, more accurate absorption distribution can be known. Moreover, the influence of the shape of the sample is reduced.
Here, in the two-dimensional mode, a general glass optical lens can be used as an input lens to use the near-infrared region, and cooling of the detector is not required, so that the entire apparatus becomes inexpensive. Further, there is also an advantage that it is possible to easily identify objects that have been difficult to identify nondestructively until now.
【図1】赤外吸収度の波長依存性を示す図。FIG. 1 is a diagram showing the wavelength dependence of infrared absorption.
【図2】赤外吸収度の波長依存性を示す図。FIG. 2 is a diagram showing wavelength dependency of infrared absorption.
【図3】本発明の原理説明図。FIG. 3 is an explanatory view of the principle of the present invention.
【図4】赤外線吸収度と散乱度の関係を示す図。FIG. 4 is a diagram showing a relationship between infrared absorption and scattering.
【図5】本発明の実施例装置の説明図。FIG. 5 is an explanatory diagram of an apparatus according to an embodiment of the present invention.
【図6】水とポリスチレンの吸光度を示す図。FIG. 6 is a diagram showing the absorbance of water and polystyrene.
【図7】測定結果を示す写真。FIG. 7 is a photograph showing the measurement results.
【図8】測定結果を示す写真。FIG. 8 is a photograph showing the measurement results.
【図9】測定結果を示す写真。FIG. 9 is a photograph showing the measurement results.
【図10】測定結果を示す写真。FIG. 10 is a photograph showing the measurement results.
【図11】測定結果を示す写真。FIG. 11 is a photograph showing the measurement results.
【図12】測定結果を示す写真。FIG. 12 is a photograph showing the measurement results.
【図13】測定結果を示す写真。FIG. 13 is a photograph showing the measurement results.
【図14】測定結果を示す写真。FIG. 14 is a photograph showing the measurement results.
1…被測定物、2…光源、3…光検出器、31…赤外線
ビジコンカメラ、4,41,42…波長選択フィルタ、
5…アナライザ、6…出力装置、7…光学レンズ系、8
…画像処理装置、81…画像記憶部、82…画像演算
部、91…ビデオモニタ、92…ビデオプリンタ。1 ... DUT, 2 ... Light source, 3 ... Photodetector, 31 ... Infrared vidicon camera, 4, 41, 42 ... Wavelength selection filter,
5 ... Analyzer, 6 ... Output device, 7 ... Optical lens system, 8
Image processing device 81 Image storage unit 82 Image calculation unit 91 Video monitor 92 Video printer
───────────────────────────────────────────────────── フロントページの続き (72)発明者 平松 光夫 静岡県浜松市市野町1126番地の1 浜松ホ トニクス株式会社内 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Mitsuo Hiramatsu 1126-1126 Nomachi, Hamamatsu City, Shizuoka Prefecture Hamamatsu Photonics Co., Ltd.
Claims (10)
て、被測定物中の物質による吸光度差が十分に大きく、
かつ散乱度差が十分に小さい近傍の波長の赤外光で前記
被測定物を照明し、当該被測定物からの反射光の光量を
前記少なくとも2種類の波長ごとに検出する第1ステッ
プと、 波長ごとに検出された前記反射光の光量の一方を他方に
より演算して散乱光の寄与分を実質的に消去し、前記被
測定物中の物質による赤外光の吸収度を測定する第2ス
テップとを備えることを特徴とする赤外光吸収度の測定
方法。1. Infrared light having at least two kinds of wavelengths, wherein the difference in absorbance due to substances in the object to be measured is sufficiently large,
And a first step of illuminating the DUT with infrared light having a wavelength in the vicinity of which the scattering degree difference is sufficiently small, and detecting the amount of light reflected from the DUT for each of the at least two types of wavelengths, A second method in which one of the amounts of the reflected light detected for each wavelength is calculated by the other to substantially eliminate the contribution of scattered light, and the degree of absorption of infrared light by the substance in the measured object is measured. A method for measuring infrared light absorbance, comprising:
H,N−HもしくはO−D結合のいずれかを含む分子で
ある請求項1記載の赤外光吸収度の測定方法。2. The substance in the object to be measured is OH, C-
The method for measuring infrared light absorption according to claim 1, which is a molecule containing any of H, N-H, and O-D bonds.
吸収度と、あらかじめ求められる前記被測定物中の物質
の吸収度にもとづき、前記物質の濃度を定量する請求項
1記載の赤外光吸収度の測定方法。3. The infrared light according to claim 1, wherein the concentration of the substance is quantified based on the absorbance of the infrared ray measured in the second step and the absorbance of the substance in the measured object which is obtained in advance. Absorption measurement method.
て、被測定物中の物質による吸光度差が十分に大きく、
かつ散乱度差が十分に小さい近傍の波長の赤外光で前記
被測定物を照明し、当該被測定物からの反射光の像を前
記少なくとも2種類の波長ごとに撮像する第1ステップ
と、 波長ごとに撮像された前記反射光の像の一方を他方によ
り画像演算して散乱光の寄与分を実質的に消去し、前記
被測定物中の物質による赤外光の吸収度の分布を測定す
る第2ステップとを備えることを特徴とする赤外光吸収
度の測定方法。4. Infrared light of at least two types of wavelengths, wherein the difference in absorbance due to the substances in the object to be measured is sufficiently large,
And a first step of illuminating the DUT with infrared light having a wavelength in the vicinity of which the scattering degree difference is sufficiently small, and capturing an image of reflected light from the DUT for each of the at least two types of wavelengths, One of the reflected light images picked up for each wavelength is image-operated by the other to substantially eliminate the contribution of scattered light, and the distribution of the absorption of infrared light by the substance in the measured object is measured. And a second step of performing the infrared light absorption measurement method.
吸収度の分布と、あらかじめ求められる前記被測定物中
の物質の吸収度の分布にもとづき、前記物質の濃度の分
布を定量する請求項4記載の赤外光吸収度の測定方法。5. The distribution of the concentration of the substance is quantified based on the distribution of the absorption of infrared light measured in the second step and the distribution of the absorption of the substance in the measured object which is obtained in advance. 4. The method for measuring infrared light absorption according to 4.
H,N−HもしくはO−D結合のいずれかを含む分子で
ある請求項4記載の赤外光吸収度の測定方法。6. The substance in the object to be measured is OH, C--
The method for measuring infrared light absorption according to claim 4, which is a molecule containing any of H, N-H, and O-D bonds.
て、被測定物中の物質による吸光度差が十分に大きく、
かつ散乱度差が十分に小さい近傍の波長の赤外光で被測
定物を照明する照明手段と、 前記被測定物からの反射光の像を前記少なくとも2種類
の波長ごとに撮像する撮像手段と、 前記波長ごとに撮像された前記反射光の像の強度の一方
を他方により画像演算する演算手段とを備えることを特
徴とする赤外光吸収度の測定装置。7. Infrared light of at least two types of wavelengths, wherein the difference in absorbance due to the substances in the object to be measured is sufficiently large,
And an illuminating means for illuminating the object to be measured with infrared light having a wavelength in the vicinity of which the difference in scattering degree is sufficiently small; An apparatus for measuring an infrared light absorption rate, comprising: a calculating unit that calculates an image of one of the intensities of the reflected light imaged for each wavelength by the other.
HもしくはO−D結合のいずれかを含む分子に対して、
十分に光の吸収性に差異があり、かつ散乱性が略同等で
ある複数の波長の赤外光を出射し、 前記撮像手段は、前記複数の波長ごとに前記反射光の像
を撮像する請求項7記載の赤外光吸収度の測定装置。8. The illuminating means comprises OH, CH, N-
For molecules containing either H or OD bonds,
The infrared ray having a plurality of wavelengths having sufficient difference in light absorption and having substantially the same scattering ability is emitted, and the imaging unit captures an image of the reflected light for each of the plurality of wavelengths. Item 7. A measuring device for infrared light absorption according to item 7.
データと、あらかじめ求められる前記被測定物中の物質
の前記波長ごとの光の吸収度の分布にもとづき、前記被
測定物における光吸収物質濃度の分布を定量する定量手
段を更に備える請求項7記載の赤外光吸収度の測定装
置。9. The light-absorbing substance concentration in the object to be measured based on the image calculation data obtained by the calculating means and the distribution of the light absorption for each wavelength of the substance in the object to be measured, which is obtained in advance. The infrared light absorption measuring apparatus according to claim 7, further comprising a quantifying means for quantifying the distribution of the.
算データを表示する表示手段を更に備える請求項7記載
の赤外光吸収度の測定装置。10. The apparatus for measuring infrared light absorption according to claim 7, further comprising display means for displaying the image calculation data obtained by said calculation means.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP16864292A JPH06123700A (en) | 1992-06-03 | 1992-06-03 | Method and device for measuring infrared-ray absorption |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP16864292A JPH06123700A (en) | 1992-06-03 | 1992-06-03 | Method and device for measuring infrared-ray absorption |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH06123700A true JPH06123700A (en) | 1994-05-06 |
Family
ID=15871826
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP16864292A Pending JPH06123700A (en) | 1992-06-03 | 1992-06-03 | Method and device for measuring infrared-ray absorption |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH06123700A (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11352067A (en) * | 1998-05-19 | 1999-12-24 | Agrovision Ab | Component concentration determining apparatus and component uniformity determining apparatus |
| JP2007198950A (en) * | 2006-01-27 | 2007-08-09 | Nippon Steel Corp | Method for measuring magnesium oxide content and calcium oxide content in oxide materials using infrared absorption spectroscopy |
| AT504436B1 (en) * | 2007-03-01 | 2008-05-15 | Anton Paar Gmbh | METHOD AND DEVICE FOR DETERMINING THE ALCOHOLIC STRENGTH OF LIQUIDS |
| US9013402B2 (en) | 2010-09-14 | 2015-04-21 | Sony Corporation | Information processing device, information processing method, and program |
| WO2018155289A1 (en) * | 2017-02-24 | 2018-08-30 | パナソニックIpマネジメント株式会社 | Dryness sensor |
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-
1992
- 1992-06-03 JP JP16864292A patent/JPH06123700A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11352067A (en) * | 1998-05-19 | 1999-12-24 | Agrovision Ab | Component concentration determining apparatus and component uniformity determining apparatus |
| JP2007198950A (en) * | 2006-01-27 | 2007-08-09 | Nippon Steel Corp | Method for measuring magnesium oxide content and calcium oxide content in oxide materials using infrared absorption spectroscopy |
| AT504436B1 (en) * | 2007-03-01 | 2008-05-15 | Anton Paar Gmbh | METHOD AND DEVICE FOR DETERMINING THE ALCOHOLIC STRENGTH OF LIQUIDS |
| US8106361B2 (en) | 2007-03-01 | 2012-01-31 | Anton Paar Gmbh | Method and device for determining an alcohol content of liquids |
| US9013402B2 (en) | 2010-09-14 | 2015-04-21 | Sony Corporation | Information processing device, information processing method, and program |
| WO2018155289A1 (en) * | 2017-02-24 | 2018-08-30 | パナソニックIpマネジメント株式会社 | Dryness sensor |
| JP2018141632A (en) * | 2017-02-24 | 2018-09-13 | パナソニックIpマネジメント株式会社 | Moisture amount sensor |
| CN110312924A (en) * | 2017-02-24 | 2019-10-08 | 松下知识产权经营株式会社 | Aridity sensor |
| JPWO2018155289A1 (en) * | 2017-02-24 | 2019-11-07 | パナソニックIpマネジメント株式会社 | Dryness sensor |
| CN110312924B (en) * | 2017-02-24 | 2021-11-23 | 松下知识产权经营株式会社 | Dryness sensor |
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