JP3142018U - Spectroscopic analyzer - Google Patents

Spectroscopic analyzer Download PDF

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JP3142018U
JP3142018U JP2008001565U JP2008001565U JP3142018U JP 3142018 U JP3142018 U JP 3142018U JP 2008001565 U JP2008001565 U JP 2008001565U JP 2008001565 U JP2008001565 U JP 2008001565U JP 3142018 U JP3142018 U JP 3142018U
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spectrum
peak
base
wavelength
spectroscopic
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靖史 中田
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Shimadzu Corp
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Abstract

【課題】ノイズの影響を受け難く操作が容易で処理時間が短い処理ソフトウェアで分光スペクトルのピーク検出を行うデータ処理部を備えた分光分析装置を提供する。
【解決手段】ピークを検出するために、スムージングされた分光スペクトルC2を使用するため、ピークの検出に際してノイズの影響を受け難い。スムージングを強く施したスペクトルでは、ピークやベース位置の吸光度がオリジナルの分光スペクトルC1とは異なる場合があるが、本考案では吸光度は分光スペクトルC1から得るため問題は生起しない。スムージングおよび極大・極小の検出は単純なアルゴリズムであり、カーブフィッティングに比べて操作が簡単で演算時間も短い。
【選択図】図1
Disclosed is a spectroscopic analysis apparatus including a data processing unit that performs spectral spectrum peak detection with processing software that is not easily affected by noise, is easy to operate, and has a short processing time.
Since a smoothed spectrum C2 is used to detect a peak, it is difficult to be affected by noise when detecting the peak. In the spectrum subjected to strong smoothing, the absorbance at the peak or base position may be different from that of the original spectrum C1, but in the present invention, the absorbance is obtained from the spectrum C1, so no problem occurs. Smoothing and maximum / minimum detection are simple algorithms that are easier to operate and shorter in computation time than curve fitting.
[Selection] Figure 1

Description

赤外分光光度計や紫外・可視分光光度計等に係り、特に分光スペクトルにおける定量計算のためのピーク検出アルゴリズムに関する。   The present invention relates to an infrared spectrophotometer, an ultraviolet / visible spectrophotometer, and the like, and more particularly to a peak detection algorithm for quantitative calculation in a spectral spectrum.

従来、例えば、測定された特定の波長領域の分光スペクトルが極大値を示す極大波長ならびに極小値を示す極小波長を検出し、検出された極大波長と極小波長における分光スペクトルの値の差が閾値を超える場合、ピークとみなす。この例の場合は、分光スペクトルに含まれるノイズにより極大値あるいは極小値を示す波長が真値からずれ易く、極大波長および極小波長の波長精度が悪化する。   Conventionally, for example, a maximum wavelength in which a spectral spectrum of a specific wavelength region measured shows a maximum value and a minimum wavelength that shows a minimum value are detected, and the difference between the detected maximum wavelength and the spectral spectrum value at the minimum wavelength becomes a threshold value. If it exceeds, it is considered a peak. In the case of this example, the wavelength showing the maximum value or the minimum value tends to deviate from the true value due to noise included in the spectrum, and the wavelength accuracy of the maximum wavelength and the minimum wavelength is deteriorated.

あるいは、分光スペクトルの形状をガウス曲線あるいは他のカーブ等で近似し、形状と位置を少しずつ変化させながらもとの分光スペクトルを再現するものを最小二乗近似により決定し、ピーク位置を検出するカーブフィッティングの手法がある。この場合、ノイズの影響は受け難いが、近似する曲線の設定等で操作が難しく、また処理時間も長い。   Alternatively, a curve that detects the peak position by approximating the shape of the spectral spectrum with a Gaussian curve or other curve, and determining the one that reproduces the original spectral spectrum while gradually changing the shape and position, and determining the peak position There is a fitting method. In this case, it is difficult to be affected by noise, but it is difficult to operate by setting an approximate curve or the like, and the processing time is long.

一方、クロマトグラムは、横軸が分光スペクトルの波長と違い時間であるが、そのピーク検出の方法が多く提供されている。例えば、クロマトグラムデータ上に注目点を定め、その点から後の一定区間内のデータが注目点に対し上昇しているか下降しているかを計算し、上昇であればその区間内の最大値に注目点を移動させ、下降であれば区間内の最小値に注目点を移動させることによりピークの変曲点を捉えてピークを抽出する(例えば特許文献1参照)。
特開平6−201673号公報
On the other hand, in the chromatogram, although the horizontal axis is the time unlike the wavelength of the spectral spectrum, many methods for detecting the peak are provided. For example, a point of interest is set on the chromatogram data, and after that point, the data in a certain interval is calculated as to whether it is rising or falling with respect to the point of interest. If the point of interest is moved, and if it is descending, the peak point is extracted by capturing the inflection point of the peak by moving the point of interest to the minimum value in the section (see, for example, Patent Document 1).
JP-A-6-201673

ノイズの影響を受け難く操作が容易で処理時間が短い処理ソフトウェアで分光スペクトルのピーク検出、ベース検出を行うデータ処理部を備えた分光分析装置を提供する。   Provided is a spectroscopic analysis apparatus including a data processing unit that performs spectral spectrum peak detection and base detection with processing software that is not easily affected by noise, is easy to operate, and has a short processing time.

本考案は、試料の分光スペクトルを測定する機構と、前記分光スペクトルのピークとベースを検出し前記試料中の物質の濃度を測定するデータ処理部を備えた分光分析装置において、測定された分光スペクトルを平滑化(以下スムージングという)するスムージング手段と、スムージングされた分光スペクトルがピークを示すピーク波長とベースを示すベース波長とを検出するピーク・ベース波長検出手段を備え、スムージングされる前の分光スペクトルの前記ピーク波長における値と前記ベース波長における値から試料中の物質の濃度を測定するデータ処理部を有する。   The present invention provides a spectroscopic analysis apparatus having a mechanism for measuring a spectroscopic spectrum of a sample and a data processing unit that detects a peak and a base of the spectroscopic spectrum and measures a concentration of a substance in the sample. A smoothing means for smoothing (hereinafter referred to as smoothing), a peak base wavelength detecting means for detecting a peak wavelength at which the smoothed spectral spectrum shows a peak and a base wavelength at which the base is shown, and a spectral spectrum before being smoothed. The data processing unit measures the concentration of the substance in the sample from the value at the peak wavelength and the value at the base wavelength.

または、測定された分光スペクトルをスムージングするスムージング手段と、スムージングされた分光スペクトルのピークの両側でベースを示す2個のベース波長を検出するベース波長検出手段を備え、前記2個のベース波長におけるスムージングされる前の分光スペクトルの値で示される2個の座標を結ぶ直線より上部の前記分光スペクトルの面積から試料中の物質の濃度を測定するデータ処理部を有する。したがって、ピーク波長とベース波長の検出および定量計算に際してノイズの影響が少ない。   Alternatively, smoothing means for smoothing the measured spectral spectrum, and base wavelength detection means for detecting two base wavelengths indicating bases on both sides of the peak of the smoothed spectral spectrum, and smoothing at the two base wavelengths. A data processing unit that measures the concentration of the substance in the sample from the area of the spectral spectrum above the straight line connecting the two coordinates indicated by the spectral spectrum values before the measurement. Therefore, the influence of noise is small in the detection and quantitative calculation of the peak wavelength and the base wavelength.

操作が容易で処理時間が短くノイズの影響が受け難い処理ソフトウェアで分光スペクトルのピーク検出、ベース検出を行い定量計算をするデータ処理部を備えた分光分析装置を提供できる。   It is possible to provide a spectroscopic analyzer including a data processing unit that performs peak calculation and base detection of a spectroscopic spectrum with processing software that is easy to operate, has a short processing time, and is not easily affected by noise.

分光スペクトルのスムージングは、ピークが僅か数点でサンプルされる場合とか、最大値が2つのピークの間に落ち込んでいる場合でも、ピークの位置と高さを推定できるSavitzky−Golay法が適用される。   The spectrum spectrum is smoothed by applying the Savitzky-Golay method that can estimate the peak position and height even when the peak is sampled at only a few points, or when the maximum value falls between two peaks. .

本考案の実施例について図1〜3を参照して説明する。図1は、本考案の実施例による分光分析装置の動作の概要を示す図である。図2は、本考案の実施例による分光スペクトルC1のスムージングの例である。図3は、本考案の実施例による分光分析装置の概略構造を示す図である。   An embodiment of the present invention will be described with reference to FIGS. FIG. 1 is a diagram showing an outline of the operation of a spectroscopic analyzer according to an embodiment of the present invention. FIG. 2 is an example of the smoothing of the spectrum C1 according to the embodiment of the present invention. FIG. 3 is a diagram showing a schematic structure of a spectroscopic analyzer according to an embodiment of the present invention.

本考案の実施例による分光分析装置は、図3に示すとおり、光を放射する光源部4と、前記光を分光する分光器5と、分光された光を試料透過後に光電流に変換する光電変換器6と、前記光電流を電圧信号に変換する増幅器7と、前記電圧信号のデータ処理をするデータ処理部1と、光源部4と分光器5の制御などをする制御器3と、測定データや警報や操作画面などを制御部3からの信号に従って表示する表示器2からなる構造を有している。   As shown in FIG. 3, a spectroscopic analyzer according to an embodiment of the present invention includes a light source unit 4 that emits light, a spectroscope 5 that splits the light, and a photoelectric that converts the split light into a photocurrent after passing through the sample. A converter 6; an amplifier 7 for converting the photocurrent into a voltage signal; a data processing unit 1 for data processing of the voltage signal; a controller 3 for controlling the light source unit 4 and the spectroscope 5; The display unit 2 has a structure that displays data, alarms, operation screens, and the like in accordance with signals from the control unit 3.

光源部4は、WIランプと、D2ランプと、ランプ切り換えミラーからなる構造を有する。制御器3はランプ切り換えミラーを駆動し、可視光領域で測定する時はWIランプの光が、紫外光領域で測定する時はD2ランプの光が分光器5に入射するように光源部4を制御する。   The light source unit 4 has a structure including a WI lamp, a D2 lamp, and a lamp switching mirror. The controller 3 drives the lamp switching mirror and controls the light source unit 4 so that the light of the WI lamp is incident on the spectroscope 5 when measuring in the visible light region and the light of the D2 lamp is incident on the ultraviolet light region. Control.

図2に示す分光スペクトルC1は、試料を図3に示す分光器5と光電変換器6の間に載置し、分光器5から出射される光の波長を走査して測定され得られたものであり、横軸が波長で縦軸が実施例では吸光度で示される。物質により決まる特定の波長での吸光度は試料中の物質の濃度に比例する。   The spectral spectrum C1 shown in FIG. 2 is obtained by measuring the wavelength of the light emitted from the spectroscope 5 by placing the sample between the spectroscope 5 and the photoelectric converter 6 shown in FIG. Where the horizontal axis represents wavelength and the vertical axis represents absorbance in the examples. The absorbance at a specific wavelength determined by the substance is proportional to the concentration of the substance in the sample.

本考案の実施例による分光分析装置がスペクトルのピーク検出をする機能を図1に示すフローチャートを参照して説明する。まず最初のステップS(以下「S」という)1で測定されたオリジナルの分光スペクトルC1をデータ処理部1(図3)に保存されている処理ソフトウェア上に読み込む(S1)。次に分光スペクトルC1にSavitzky−Golay法を使用してスムージング処理を施す。スムージング点数は例えば数十点程度を選択し計算させる。得られたスムージング済スペクトルは分光スペクトルC2である(S2)。前記分光スペクトルC2をデータ処理部1(図3)に保存する(S3)。   The function of the spectral analyzer according to the embodiment of the present invention for detecting a spectrum peak will be described with reference to the flowchart shown in FIG. First, the original spectral spectrum C1 measured in the first step S (hereinafter referred to as “S”) 1 is read onto the processing software stored in the data processing unit 1 (FIG. 3) (S1). Next, the spectral spectrum C1 is subjected to a smoothing process using the Savitzky-Golay method. For example, about several tens of smoothing points are selected and calculated. The obtained smoothed spectrum is the spectrum C2 (S2). The spectrum C2 is stored in the data processing unit 1 (FIG. 3) (S3).

定量計算のために使用する指定波長域でスムージング済の分光スペクトルC2の極大・極小を検出する。実施例では図2に示すとおり極大・極小それぞれ2個ずつ存在する(S4)。前記極大・極小の波長を記録する(S5)。定量計算のために使用する指定波長に最も近い極大をピークとみなし、その波長をピーク波長W2として記録する(S6)。隣接する極小はベースとみなし、その波長をベース波長W1、W3として記録する(S7)。得られたピーク波長W2、ベース波長W1、W3に対応する吸光度をオリジナルの分光スペクトルC1上で読み取る。得られた吸光度をそれぞれピーク吸光度A2、ベース吸光度A1、A3とする(S8)。   The maximum / minimum of the spectral spectrum C2 that has been smoothed in the designated wavelength range used for quantitative calculation is detected. In the embodiment, there are two local maximums and local minimums as shown in FIG. 2 (S4). The maximum and minimum wavelengths are recorded (S5). The maximum closest to the designated wavelength used for quantitative calculation is regarded as a peak, and the wavelength is recorded as the peak wavelength W2 (S6). The adjacent minimum is regarded as the base, and the wavelengths are recorded as base wavelengths W1 and W3 (S7). Absorbances corresponding to the obtained peak wavelength W2 and base wavelengths W1 and W3 are read on the original spectral spectrum C1. The obtained absorbances are defined as peak absorbance A2, base absorbance A1, and A3, respectively (S8).

得られたピーク波長W2、ベース波長W1、W3、ピーク吸光度A2、ベース吸光度A1、A3をもとに定量計算を実行する。定量計算には多種類の方法がある。例えばピーク吸光度A2のみを使用した方法、あるいはピーク吸光度A2からベース吸光度A1またはベース吸光度A3を引いたものを使用する方法、さらに2個の座標(ベース波長W1、ベース吸光度A1)、(ベース波長W3、ベース吸光度A3)を結ぶベースラインから上のピーク面積を算出して使用する方法等がある。いずれの方法も濃度既知の試料を測定して得られる検量線により濃度に換算される(S9)。   Quantitative calculation is executed based on the obtained peak wavelength W2, base wavelengths W1 and W3, peak absorbance A2, and base absorbance A1 and A3. There are many types of quantitative calculations. For example, a method using only the peak absorbance A2, or a method using the peak absorbance A2 minus the base absorbance A1 or the base absorbance A3, two coordinates (base wavelength W1, base absorbance A1), (base wavelength W3 There is a method of calculating and using the upper peak area from the base line connecting the base absorbance A3). In any method, the concentration is converted into a concentration by a calibration curve obtained by measuring a sample having a known concentration (S9).

本考案は以上の構造であるから、ピークを検出するために、スムージングされた分光スペクトルC2を使用するため、ピークの検出に際してノイズの影響を受け難い。スムージングを強く施したスペクトルでは、ピークやベース位置の吸光度がオリジナルの分光スペクトルC1とは異なる場合があるが、本考案では吸光度は分光スペクトルC1から得るため問題は生起しない。スムージングおよび極大・極小の検出は単純なアルゴリズムであり、カーブフィッティングに比べて操作が簡単で演算時間も短い。   Since the present invention has the above-described structure, the spectral spectrum C2 that has been smoothed is used to detect the peak. Therefore, the peak is not easily affected by noise. In the spectrum subjected to strong smoothing, the absorbance at the peak or base position may be different from that of the original spectrum C1, but in the present invention, the absorbance is obtained from the spectrum C1, so no problem occurs. Smoothing and maximum / minimum detection are simple algorithms that are easier to operate and shorter in computation time than curve fitting.

図示例においては、実施例による分光分析装置は例えば紫外・可視分光光度計の構造を有しているが、代わりに例えばフーリエ変換赤外分光光度計あるいは分光蛍光光度計等の構造を有していても本考案は適用可能である。また分光スペクトルC1、C2の縦軸が吸光度で示されているが、代わりに例えば光の強度で示される場合でも本考案は適用できる。このように本考案は図示例に限定されるものではなく種々の変形例を包含する。   In the illustrated example, the spectroscopic analyzer according to the embodiment has a structure of, for example, an ultraviolet / visible spectrophotometer, but instead has a structure of, for example, a Fourier transform infrared spectrophotometer or a spectrofluorophotometer. However, the present invention is applicable. Moreover, although the vertical axis | shaft of the spectral spectra C1 and C2 is shown by the light absorbency, this invention is applicable also when it shows by the intensity | strength of light instead. Thus, the present invention is not limited to the illustrated examples, but includes various modifications.

赤外分光光度計や紫外・可視分光光度計等に係り、特に分光スペクトルにおける定量計算のためのピーク検出アルゴリズムに関する。   The present invention relates to an infrared spectrophotometer, an ultraviolet / visible spectrophotometer, and the like, and more particularly to a peak detection algorithm for quantitative calculation in a spectral spectrum.

本考案の実施例による分光分析装置の動作の概要を示す図である。It is a figure which shows the outline | summary of operation | movement of the spectroscopic analyzer by the Example of this invention. 本考案の実施例による分光スペクトルのスムージングの例である。It is an example of the smoothing of the spectrum by the Example of this invention. 本考案の実施例による分光分析装置の概略構造を示す図である。It is a figure which shows schematic structure of the spectroscopic analyzer by the Example of this invention.

符号の説明Explanation of symbols

1 データ処理部
2 表示器
3 制御器
4 光源部
5 分光器
6 光電変換器
7 増幅器
A1 ベース吸光度
A2 ピーク吸光度
A3 ベース吸光度
C1 分光スペクトル
C2 分光スペクトル
W1 ベース波長
W2 ピーク波長
W3 ベース波長
DESCRIPTION OF SYMBOLS 1 Data processing part 2 Display 3 Controller 4 Light source part 5 Spectrometer 6 Photoelectric converter 7 Amplifier A1 Base absorbance A2 Peak absorbance A3 Base absorbance C1 Spectrum C2 Spectrum spectrum W1 Base wavelength W2 Peak wavelength W3 Base wavelength

Claims (2)

試料の分光スペクトルを測定する機構と、前記分光スペクトルのピークとベースを検出し前記試料中の物質の濃度を測定するデータ処理部を備えた分光分析装置において、測定された分光スペクトルを平滑化する平滑化手段と、平滑化された分光スペクトルがピークを示すピーク波長とベースを示すベース波長とを検出するピーク・ベース波長検出手段を備え、平滑化される前の分光スペクトルの前記ピーク波長における値と前記ベース波長における値から試料中の物質の濃度を測定するデータ処理部を有することを特徴とする分光分析装置。   In a spectroscopic analyzer equipped with a mechanism for measuring a spectroscopic spectrum of a sample and a data processing unit for detecting the peak and base of the spectroscopic spectrum and measuring the concentration of a substance in the sample, the measured spectroscopic spectrum is smoothed. A value at the peak wavelength of the spectrum before smoothing, comprising: a smoothing means; and a peak-base wavelength detection means for detecting a peak wavelength at which the smoothed spectral spectrum shows a peak and a base wavelength at which the base is shown. And a data processing unit for measuring the concentration of the substance in the sample from the value at the base wavelength. 試料の分光スペクトルを測定する機構と、前記分光スペクトルのピークとベースを検出し前記試料中の物質の濃度を測定するデータ処理部を備えた分光分析装置において、測定された分光スペクトルを平滑化する平滑化手段と、平滑化された分光スペクトルのピークの両側でベースを示す2個のベース波長を検出するベース波長検出手段を備え、前記2個のベース波長における平滑化される前の分光スペクトルの値で示される2個の座標を結ぶ直線より上部の前記分光スペクトルの面積から試料中の物質の濃度を測定するデータ処理部を有することを特徴とする分光分析装置。
In a spectroscopic analyzer equipped with a mechanism for measuring a spectroscopic spectrum of a sample and a data processing unit for detecting the peak and base of the spectroscopic spectrum and measuring the concentration of a substance in the sample, the measured spectroscopic spectrum is smoothed. Smoothing means and base wavelength detecting means for detecting two base wavelengths indicating bases on both sides of the peak of the smoothed spectrum spectrum, and the spectrum spectrum before smoothing at the two base wavelengths. A spectroscopic analyzer comprising a data processing unit for measuring a concentration of a substance in a sample from an area of the spectroscopic spectrum above a straight line connecting two coordinates indicated by values.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009294059A (en) * 2008-06-05 2009-12-17 Sumitomo Metal Ind Ltd Coating adhesion amount measuring method and device of galvannealed steel sheet with coating
JP2018091675A (en) * 2016-12-01 2018-06-14 株式会社島津製作所 Method for estimating absorbance of sample with approximate expression and spectroscopic analyzer

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009294059A (en) * 2008-06-05 2009-12-17 Sumitomo Metal Ind Ltd Coating adhesion amount measuring method and device of galvannealed steel sheet with coating
JP2018091675A (en) * 2016-12-01 2018-06-14 株式会社島津製作所 Method for estimating absorbance of sample with approximate expression and spectroscopic analyzer

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