JP2005257676A - Method for determining quantity of chemical component in tea leaves - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a measurement method for simply, easily and quickly measuring the content of chemical components in tea leaves, including raw tea leaves, dried tea leaves and finished tea leaves. <P>SOLUTION: The absorbances of the target tea leaves with chemical components, having known concentrations, are measured using near-infrared spectrophotometer. The concentrations of the chemical components are calculated from the absorbances of the tea leaves with the chemical components having unknown concentrations, based on the information of the correlation between the absorbance and the quantity of the chemical components of the target tea leaves. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a method for quantifying chemical components contained in tea leaves. More specifically, a method for measuring the contents of methylated catechin, caffeine and vitamins simply and quickly with a near-infrared spectrophotometer will be developed.

  Tea leaves such as “Benifuuki”, “Benifuji”, “Benihomare” contain a lot of methylated catechins that suppress pollen symptoms, and can be widely used as beverages and foods that have an allergy-suppressing effect. it can. Therefore, the content of chemical components contained in these tea leaves (raw leaves, rough tea, finished tea, etc.) needs to be measured quickly for quality control in the manufacturing process. For example, the content of methylated catechin contained in tea leaves is less than 5%. For this reason, conventionally, a high performance liquid chromatographic method (hereinafter referred to as HPLC method) has been used as a measurement method (see Non-Patent Document 1).

  In the HPLC method, various solids or liquids are used as a stationary phase, a sample is passed through a column containing the stationary phase using a pressurized flow of the liquid mobile phase, and the sample mixture placed at one end of the sample is transferred to an appropriate developing agent (transferring agent). This is a method in which a mixture of microgram amount to gram amount is separated by using a difference in moving speed based on the adsorptivity and distribution coefficient of each component. It becomes possible to separate (refer nonpatent literature 2).

Edited by Keiichiro Muramatsu “Chemistry of Tea” Asakura Shoten September 1, 1997 p. 119 Translated by Junichi Furuya "Analytical Chemistry" Maruzen Co., Ltd. February 28, 1998 p. 103-130

  However, the measurement of chemical components by the HPLC method has high accuracy, but the measurement device is expensive and the measurement operation and sample preparation are difficult, and in the manufacturing process that requires quickness and simplicity. Not suitable for quality control measurements. There are several types of methylated catechins contained in tea leaves, but the total content is about several percent of the total tea leaves. Therefore, when these methylated catechins are simultaneously detected, it is difficult to accurately detect them unless the measuring apparatus has high resolution.

  The present invention has been made in view of the above problems, and its purpose is to provide a measurement method for simply and quickly measuring the content of chemical components in tea leaves including fresh leaves, rough tea, and finished tea. It is.

  In order to achieve the above object, the present invention measures the absorbance of a tea leaf having a known chemical component concentration using a near-infrared spectrophotometer, and relates to the correlation between this absorbance and the amount of the chemical component in the tea leaf. Based on the information, the chemical component concentration is calculated from the absorbance of tea leaves whose chemical component concentration is unknown.

  The present invention specifically provides the following.

  (1) A method for quantifying chemical components contained in tea leaves, wherein the absorbance of the tea leaves is measured using wavelengths in the near infrared region of 1000 nm to 2500 nm, and the absorbance and the amount of chemical components in the tea leaves A method for quantifying a chemical component contained in tea leaves, wherein the chemical component concentration is calculated from the absorbance of the tea leaf having an unknown chemical component concentration based on information relating to the correlation.

  According to the invention of (1), by using a wavelength in the near-infrared region, it is possible to perform a multicomponent simultaneous analysis in a nondestructive manner quickly and simply. In addition, since the functional group to which C—H, O—H or N—H group of many chemical components belongs has an absorption region peculiar to the near infrared region, by measuring the absorbance of this absorption region, It is possible to obtain information on the correlation with the amount of chemical components in tea leaves.

  (2) The method for quantifying chemical components contained in tea leaves according to (1), wherein the information is regularly or constantly updated.

  According to the invention of (2), it is possible to optimize the concentration of the sample whose chemical component concentration is unknown by regularly or constantly updating the information on the tea amount and the absorbance. As an update method, there is a method in which data is reacquired every year, and a slope or the like is corrected appropriately.

  (3) The method for quantifying a chemical component contained in tea leaves according to (1) or (2), wherein the chemical component is one or more components selected from the group consisting of catechins, purine bases, and vitamins. .

According to the invention of (3), the chemical component is one or more components selected from the group consisting of catechins, purine bases, and vitamins, so that the accuracy of the quantification method according to the present invention can be improved. It becomes. Here, “catechins” refers to epicatechin, epicatechin gallate, epigallocatechin, epigallocatechin gallate, catechin, gallocatechin, methylated catechin and optical isomers thereof, and “purine base” mainly refers to cafe “Vitamin” means vitamin C, vitamin E, vitamin B ₁ and vitamin B ₂ .

  (4) The method for quantifying a chemical component contained in tea leaves according to any one of (1) to (3), wherein the chemical component is methylated catechin.

  According to the invention of (4), since the chemical component is methylated catechin, the accuracy of the quantification method according to the present invention can be further improved.

  (5) A method for quantifying chemical components contained in tea leaves, wherein a plurality of standard samples having known chemical component concentrations are irradiated with a near infrared spectrophotometer that irradiates near infrared light having a predetermined wavelength. Then, an absorbance measurement step for measuring the absorbance of the standard sample, each absorbance measured in the absorbance measurement step, and at least one of a single regression method and a linear multiple regression method based on the chemical component concentration of the standard sample. A calibration curve calculating step for calculating a calibration curve by one, and measuring the absorbance at the same wavelength as that of the standard sample for the target sample whose chemical component concentration is unknown, and based on the calibration curve from the absorbance value, A method for quantifying a chemical component contained in a tea leaf according to any one of (1) to (4), comprising: a concentration calculating step for calculating a component concentration.

  According to the invention of (5), in the absorbance detection step, the absorbance of the methylated catechin in the sample is measured by irradiating the sample with a known methylated catechin concentration with near infrared light having a predetermined wavelength. Is possible. In addition, in the calibration curve calculation step and the concentration calculation step, it is possible to calculate the concentration of a sample whose methylated catechin concentration is unknown accurately and quickly by using a single regression method or a linear multiple regression method.

  Here, the “single regression method or linear multiple regression method” refers to an analysis method in which a relationship between a plurality of variables is expressed by a linear equation (y = ax + b). When the single regression method is used, the wavelength of the near infrared light applied to the sample is one, but when the linear multiple regression method (MLR combination search method, step search method) is used, a plurality of types of samples are used. Can be used. Therefore, the concentration of methylated catechin can be calculated more accurately by irradiating the same sample with near-infrared light of different wavelengths and using the linear multiple regression method.

  (6) The method for quantifying chemical components contained in tea leaves according to (5), wherein the wavelength of the near-infrared light is about 1000 nm to about 2500 nm.

  According to the invention of (6), the absorption region of each chemical component can be efficiently detected by setting the wavelength of near infrared light from about 1000 nm to about 2500 nm.

  (7) The method for quantifying chemical components contained in tea leaves according to (5) or (6), wherein the wavelength of the near-infrared light is about 1100 nm to about 2400 nm.

  According to the invention of (7), by setting the wavelength of near-infrared light from about 1100 nm to about 2400 nm, it is possible to efficiently detect the absorption region of catechins among each chemical component. In the scan type NIR, catechins are preferably detected using the following wavelengths.

  For example, by setting the wavelength to 2 or more selected from the group consisting of approximately 1220 nm, approximately 1400 nm, approximately 1650 nm, approximately 1770 nm, approximately 1900 nm, and approximately 2070 nm, it is possible to detect the catechin-specific absorption region more efficiently. Become. Here, “approximately 1220 nm” refers to 1210 nm to 1230 nm, “approximately 1400 nm” refers to 1390 nm to 1410 nm, “approximately 1650 nm” refers to 1640 nm to 1670 nm, and “approximately 1770 nm” refers to 1760 nm to 1760 nm 1790 nm means “approximately 1900 nm” refers to 1890 nm to 1920 nm, and “approximately 2070 nm” refers to 2050 nm to 2080 nm.

  Further, by setting the wavelength to an arbitrary wavelength from about 1100 nm to about 2400 nm, it is possible to more efficiently detect the absorption region of epigallocatechin gallate and epicatechin among catechins. In this case, the measurement wavelength may be one wavelength, but two or more wavelengths are preferably used in combination, and four or more wavelengths are more preferably used in combination. For example, it is possible to measure by combining arbitrary wavelengths of 1110 to 1140 nm, 1650 to 1670 nm, 1620 to 1650 nm, and 2090 to 2120 nm.

  In addition, by setting the wavelength to an arbitrary wavelength from approximately 1500 nm to approximately 2400 nm, it is possible to more efficiently detect the epigallocatechin absorption region, in particular, among catechins. In this case as well, as described above, the measurement wavelength may be one wavelength, but it is preferable to use a combination of two or more wavelengths, and more preferably to use a combination of four or more wavelengths. For example, it is possible to measure by combining arbitrary wavelengths of 1520 to 1550 nm, 1660 to 1680 nm, 1990 to 2010 nm, and 2260 to 2280 nm.

  (8) The method for quantifying chemical components contained in tea leaves according to any one of (5) to (7), wherein the accuracy (SEP) of the calibration curve in the calibration curve calculation step is 0.4 or less.

  According to the invention of (8), the accuracy of the calibration curve calculated in the calibration curve calculation step (standard error at the time of calibration curve evaluation (predicted value): SEP) is 0.4 or less, whereby the concentration of methylated catechins Can be calculated more accurately.

  (9) A program for quantifying chemical components contained in tea leaves, comprising: a near-infrared spectrophotometer that irradiates a plurality of standard samples having known chemical component concentrations with near-infrared light having a predetermined wavelength. A calibration curve calculation step for instructing to calculate a calibration curve by at least one of a single regression method and a linear multiple regression method based on each absorbance measured using the chemical component concentration of the standard sample, A concentration calculation step for instructing a target sample having an unknown component concentration to calculate a chemical component concentration of the target sample based on the calibration curve from an absorbance value at the same wavelength as that of the standard sample. A program that causes a computer to execute a method for quantifying chemical components contained in tea leaves.

  (10) A program for quantifying methylated catechins contained in tea leaves, wherein a plurality of standard samples with known methylated catechin concentrations are irradiated with near-infrared light having a predetermined wavelength. Calibration curve calculation step for instructing to calculate a calibration curve by at least one of a single regression method and a linear multiple regression method based on each absorbance measured using a meter and the methylated catechin concentration of the standard sample And a concentration calculation step for instructing a target sample having an unknown methylated catechin concentration to calculate the methylated catechin concentration of the target sample based on the calibration curve from the absorbance value at the same wavelength as the standard sample. A program for causing a computer to execute a method for quantifying methylated catechin contained in tea leaves.

  As described above, the present invention is based on the correlation between the specific absorption region of the chemical component in tea leaves in the near infrared region and the concentration of each chemical component in the sample. It is possible to calculate quickly and easily. Thereby, sufficient quality control of products and tea leaves can be performed in the manufacturing process.

  The present invention will be described in detail below.

<Measurement sample>
In the present invention, tea leaves are used as a measurement sample. “Tea leaf” does not mean each tea leaf, but an assembly of tea leaves that are used as raw materials for tea and food. The tea leaves used are Benifuuki, Benifuji, Benihore, Yaeho, Shiragase, Yutaka Midori, Kuritase, Kanaya Midori, `` Okumusashi '', `` Ooba Soryu '', `` Blue Heart Large Bread '', `` Aoshin Souryu '', `` Aoi Monoplex '', `` Suisuisen '', `` Shiraba Monoplex Daffodil '', `` Koueda Incense '', `` Wuyou Daffodil ”,“ Safflower ”,“ Benihikari ”,“ Yamakai ”,“ Yamato Midori ”,“ Himemidori ”,“ Kaori ”,“ Okumidori ”, etc. May be used.

  Substances to be measured are catechins, purine bases (caffeine), and vitamins. Methylated catechin, which is a kind of catechins, refers to methylated catechins such as epigallocatechin-3-O- (3-O-methyl) gallate (hereinafter referred to as EGCG3 "Me), epigallocatechin-3. -O- (4-O-methyl) gallate (hereinafter referred to as EGCG4 "Me), gallocatechin-3-O- (3-O-methyl) gallate (hereinafter referred to as GCG3" Me), or gallocatechin-3-O -(4-O-methyl) gallate (hereinafter referred to as GCG4 "Me).

  EGCG3 ″ Me and EGCG4 ″ Me are represented by the following chemical structural formulas.

In the case where R ₁ is a methyl group (—CH ₃ ) and R ₂ is a hydrogen atom (—H), EGCG3 ″ Me is indicated. Also, R ₁ is a hydrogen atom (—H), When R ₂ is a methyl group (—CH ₃ ), EGCG4 ″ Me is shown.

  GCG3 ″ Me and GCG4 ″ Me are represented by the following chemical structural formulas.

In the case where R ₁ is a methyl group (—CH ₃ ) and R ₂ is a hydrogen atom (—H), GCG3 ″ Me is shown. Also, R ₁ is a hydrogen atom (—H), When R ₂ is a methyl group (—CH ₃ ), GCG4 ″ Me is shown. Note that EGCG3 ″ Me and EGCG4 ″ Me are structural isomers, and GCG3 ″ Me and GCG4 ″ Me are structural isomers. EGCG3 "Me and GCG3" Me are stereoisomers of each other, and EGCG4 "Me and GCG4" Me are stereoisomers of each other.

<Measurement and calculation of methylated catechin concentration>
In the present invention, a near infrared spectrophotometer is used in the absorbance measurement step. “Near-infrared spectrophotometer (hereinafter referred to as NIR)” means a near-infrared ray (700 to 2500 nm) characterized by being capable of no reagent, no pretreatment, simultaneous multi-component analysis, qualitative and quantitative analysis. This is the spectrophotometer used. Compared with conventional infrared spectrophotometers (2500 to 10000 nm), it has a shorter wavelength, so that it is possible to measure the overtone and the combined sound of the absorption characteristics due to the fundamental vibration of molecules in the measurement of the infrared spectrophotometer. The NIR to be used includes scan type and filter type.

  The “calibration curve” in the calibration curve calculation step is a linear equation for the correlation between the tea leaf absorbance (y) and methylated catechin concentration (x) measured by NIR using a single regression method or a linear multiple regression method ( y = ax + b). The concentration of methylated catechin on the x-axis is a value measured and calculated in advance using high performance liquid chromatography (hereinafter referred to as HPLC). “Single regression method or linear multiple regression method” is generally to predict another variable (dependent variable or objective variable) based on several variables (independent variable or explanatory variable). Assuming that the independent variable is x, the dependent variable is y, and the predicted value of y is y ′, a straight line (calibration curve) y ′ = ax + b passing near each point of x and y can be considered. The linear constant can be obtained by the method of least squares. The accuracy of the calibration curve is determined by the number of points that are not on the calibration curve. In the present invention, for convenience of measurement, the independent variable is set to y and the dependent variable is set to x. Furthermore, the accuracy of the calibration curve is evaluated using the standard error (SEP) at the time of calibration curve evaluation (predicted value).

  Hereinafter, specific methods of the calibration curve calculation step and the concentration calculation step will be described.

  Absorbance is measured by NIR for a standard sample with a known methylated catechin concentration for at least 4 points, preferably 10 points or more. The range of the irradiation wavelength may include the range of 700 to 2500 nm wavelength that is usually measured by NIR. In addition, when measured by this scan type NIR, the obtained spectrum includes a wavelength indicating the maximum absorbance of the peak. Here, the maximum absorbance refers to a peak portion of a spectrum peak, and the position of this peak can be confirmed visually or by an information processing device such as a computer. And the wavelength which shows this maximum absorbance should just be in the wavelength of the said range.

  In the filter type NIR, first, the absorbance of the sample at each wavelength is used as an explanatory variable, and the methylated catechin concentration is used as an objective variable. First, single regression analysis and multiple regression analysis are performed, and at least the wavelength of the accurate regression line is set. Adopt two or more, check outliers, and discard if the cause is clear. Next, the calibration curve employed in the above operation is verified with another sample to determine the most accurate calibration curve.

  In the scan type NIR, the wavelength indicating the maximum absorbance of the peak of the obtained NIR spectrum is selected to be 2 or more, preferably 3 or more, and the absorbance at those wave numbers is used. The wavelength of the maximum absorbance of the obtained spectrum peak is selected and the absorbance is used. Multiple regression analysis is performed with the absorbance of the sample at each wavelength as the explanatory variable and the methylated catechin concentration as the objective variable.

  The multiple regression analysis calculation and the principal component regression analysis calculation are not particularly limited even if they are commercially available calculation software or self-made ones. Furthermore, these series of operations may be incorporated into the NIR measurement program to provide a methylated catechin concentration detection program.

  In the concentration calculation step, the absorbance of a sample with an unknown methylated catechin concentration can be measured, and the value can be substituted into the calibration curve obtained in the calibration curve calculating step to calculate the concentration of methylated catechin. .

  When the quantification method according to the present invention is used as a program, the absorbance measured by NIR is used to analyze principal component analysis, cluster analysis, discriminant analysis, multiple regression analysis, principal component regression analysis, PLS (partial least squares) regression using a chemometrics technique. It is preferable to use analysis, SIMCA (soft independent modeling of class analysis), KNN (K-nearest neighbor method), neural network analysis, and the like, and a combination thereof.

[When using filter type NIR]
<Sample>
Benifuuki (n = 50 1 tea season 18 points, 2 tea season 18 points, 3 tea seasons 8 points, fall / winter season 6 points) and varieties tea containing methylated catechins (n = 100 1 tea season 50 points) A sample obtained by pulverizing two tea seasons (50 points) with a UDY cyclone mill (screen φ1.0 mm) is NIR (GT-8 standard machine (Dickey John) IL610S / N11138); Mode 1.0, Dj cell, measured twice ( Measured with refilling)). Moreover, the same sample was measured by HPLC (LC-10AVp, LC-M10AVp by Shimadzu Corporation), and two measured values were analyzed using Dickey John regression program v2.0 (linear multiple regression method). As a method, the samples were divided into three groups and created and verified by the Cross Validation method. Table 1 shows the NIR filter number and the attribute of the irradiation wavelength.

  Filter 7 (L7) (2139 nm) is derived from the tannin absorption region, Filter 2 (L2) (2180 nm) is derived from protein, Filter 9 (L9) (2345 nm) is derived from fiber, and Filter 4 (L4) ( 1940 nm) is derived from moisture, and filter 6 (L6) (2208 nm) is derived from protein.

<Procedure for creating a calibration curve>
(1) Create a calibration curve roughly with single regression, two wavelengths, and three wavelengths, and look at the configuration of the selected wavelength. (2) The slope (t-Value) is checked, and a calibration curve of 2.0 or less is discarded (Omit). (3) The combination is checked by wavelength assignment, coefficient sign (+, −), CAL constant (2.0 or less), multicollinearity (40 nm or less), and the calibration curve is narrowed down. (4) From several calibration curves, select 2 to 3 calibration curves with good statistical values and select them as candidates for adoption. The statistical value is evaluated as follows: SEP: smaller is better, slope (SLOPE): 0.9 to 1.1, contribution rate (R ² ): 0.85 or more, variation rate (CV%): 10 or less, K coefficient Sum (Sum K): 0.1 to 1.0 or less, square root of sum of squares of K coefficient (RSSK): 1.0 or less, F ratio: 80 or more, and the like. (5) The outliers were checked and discarded if the cause was clear. The above candidates (1) to (5) were repeated to determine employment candidates (Calibration). (6) The calibration curve of the adoption candidate was verified in another sample group (Validation). In this way, the best calibration curve was determined.

<Preparation and verification of methylated catechin calibration curve>
Table 2 shows the verification result of the calibration curve calculated by the above-described calibration curve creation procedure.

  From this, MLR CAL creation work (Multiple Linear Precise Cakewalk Language) based on PLS analysis (PLS is Partial Least Squares analysis (partial least squares method)). The candidates for the methylated catechin group were 2, 7, and 9 combinations. In the present invention, the analysis was promoted mainly on the combination of 2, 5, and 7 filters and the combination of 2, 7, and 9 filters.

Moreover, although all the samples were divided into 3 parts, CAL was created by 2 groups and it verified by 1 other group, the special tendency was not recognized. Since there was no difference as a sample group in the three-division Cross Validation method, CAL creation was performed on all samples (outlier 9 points were omitted). As a result, SEC: Accuracy of 0.302, R ² : 0.814, CV%: 33.83, F Ratio: 259.4 was obtained.

The results of CAL creation (4-point omit) when the sample is only “Benifuuki” are SEC: 0.210, R ² : 0.594, CV%: 13. 19, F Ratio: Since accuracy of 43.0 was obtained, this is set as a CAL adoption candidate and is shown in FIGS. The number of samples at this time is 46, the average absorbance is 1.59 (maximum value (log value): 2.33, minimum value (log value): 0.65), standard error is 0.160, fluctuation The coefficient is 10.1%. In addition, for the verification of CAL, the results of verifying the accuracy by using the wiping cloth dried with the calibration curve “Benifuki CAL” created above are SEP: 0.207, R ² : 0.594, CV%: 13 0.0%, slope: 1.683, Fratio: 42.96.

  For reference, a calibration curve for catechins was prepared and compared with methylated catechins. As a result, epigallocatechin gallate with a high content and the coefficient of variation of the total amount of catechin were superior to epigallocatechin, epicatechin and epicatechin gallate with a low content. The wavelength configuration of the calibration curve selected with catechins is a combination of filters of 3, 7, 8 (first candidate), 2, 7, 9 (second candidate), and the wavelength configuration of Benififuki CAL is appropriate. Sex was confirmed.

  Furthermore, although CAL was prepared by stratifying into the normal sencha group and the dried fresh leaf group, the normal sencha group corresponds to Benifukuki, and the dried fresh leaf group corresponds to almost all samples, so there is no change in the accuracy of CAL. confirmed.

[When using scan type NIR]
<Sample>
Using Benifukuki (Aracha, n = 106, Ichibancha-Akiyubancha) produced in 2004, powder was used as a measurement sample in the same manner as described above. The sample was set in a sample cell of NIR (Bran + Lubebe InfraAlyzer 500), and the reflected light was measured at 2 nm intervals in the near infrared region from 1100 nm to 2500 nm.

  The obtained spectrum was subjected to pretreatment (secondary differentiation) and multivariate analysis using an analysis program SESAMI (manufactured by Bran + Lubebe).

  The obtained spectrum was normalized, second-order differentiated or leveled, and the correlation with the individual catechin amount measured by the HPLC method was examined. As a result, a high correlation was obtained by the second-order derivative. The calibration curve was created by combining the MLR combination search method and the step search method.

  The MLR combination search method is a kind of linear multiple regression method, which tries the combination of all wavelengths, finds the optimum wavelength, calculates the multiple correlation coefficient R of each wavelength, and calculates the highest value. A method of detecting a combination of

  The step-up search is a kind of linear regression method, similar to the MLR combination search method. First, only the first wavelength is obtained by the combination search method, and in order to determine the next new wavelength, the wavelength determined by the combination search is fixed, and the wavelength at which the multiple correlation coefficient R shows the maximum value is searched. . The wavelength having the highest R up to the third wavelength is searched, and then the first wavelength is changed again until the second and third wavelengths are fixed. The same operation is repeated until the correlation no longer improves even when a new wavelength is used (MLR variable increasing method).

  When creating a calibration curve, the SEC (standard error when creating a calibration curve) can be reduced by increasing the objective variable. However, SEP (standard error of the predicted value) decreases once, but increases when the objective variable is further increased. This is called overfitting and is used to determine the objective variable in multivariate analysis. As a result, it was found that it is appropriate to select 4 wavelengths for methylated catechins, 3 wavelengths for EGCG and ECG, and 4 wavelengths for EGC. The methylated catechin contains a hydroxy group and a methyl group, and it can be seen that this wavelength selection is appropriate.

[Quantitative determination of methylated catechins in tea leaves using Ichiban tea]
When NIR wavelengths of 1220 nm ± 50 nm, 2068 nm ± 50 nm, 2364 nm ± 50 nm, 2468 nm ± 50 nm are selected and a calibration curve is created by applying the MLR variable increasing method, R = 0.983 of calibration, SEC = Measurement can be performed with an accuracy of 0.103 and SEP = 0.17 (FIG. 3).

<EGCG quantification method>
When a calibration curve is created by selecting 1660 ± 50 nm, 1632 ± 50 nm, 1128 ± 50 nm as the NIR wavelength and applying the MLR variable increasing method, R (multiple correlation coefficient) of calibration = 0.97, SEC = Measurement can be performed with an accuracy of 0.549 and SEP = 0.63 (FIG. 4).

<ECG quantitative method>
When a calibration curve is created by selecting the NIR wavelength of 2186 ± 50 nm, 2062 ± 50 nm, 1546 ± 50 nm and applying the MLR variable increasing method, the calibration R = 0.963, SEC = 0.17, SEP = Measurement can be performed with an accuracy of 0.24 (FIG. 5).

<EGC quantification method>
When a calibration curve is generated by selecting 1534 ± 50 nm, 2000 ± 50 nm, 2270 ± 50 nm, 2356 ± 50 nm as the NIR wavelength and applying the MLR variable increasing method, R = 0.978 of the calibration, SEC = 0. 215, SEP = 0.328 can be measured with accuracy (FIG. 6).

<EC quantification method>
When a calibration curve is created by selecting 1124 ± 50 nm, 1470 ± 50 nm, 2208 ± 50 nm as the NIR wavelength and applying the MLR variable increasing method, calibration R = 0.848, SEC = 0.112, SEP = Measurement can be performed with an accuracy of 0.128 (FIG. 7).

  From the above, it was found that the present invention has sufficient accuracy under the purpose of tea leaf quality control and breeding selection system in the production process. In addition, by installing each wavelength filter as a program and option kit incorporating the calibration curve according to the present invention in a conventional measuring device such as a tea leaf analyzer, catechins related to functionality can be measured with high accuracy and simplicity. It becomes possible.

It is the figure which showed the calibration curve of catechin calculated by the analysis method of this invention. It is the figure which showed the calibration curve of catechin calculated by the analysis method of this invention. It is the figure which showed the calibration curve of catechin calculated by the analysis method of this invention. It is the figure which showed the calibration curve of the epigallocatechin catechin gallate computed by the analysis method of this invention. It is the figure which showed the calibration curve of the epicatechin gallate computed by the analysis method of this invention. It is the figure which showed the analytical curve of the epigallocatechin computed by the analysis method of this invention. It is the figure which showed the calibration curve of epicatechin computed by the analysis method of this invention.

Claims (10)

  A method for quantifying chemical components contained in tea leaves, wherein the absorbance of the tea leaves is measured using wavelengths in the near-infrared region of 1000 nm to 2500 nm, and information relating to the correlation between the absorbance and the amount of chemical components in the tea leaves A method for quantifying chemical components contained in tea leaves, wherein the chemical component concentration is calculated from the absorbance of tea leaves with unknown chemical component concentrations based on   The method for quantifying chemical components contained in tea leaves according to claim 1, wherein the information is updated regularly or constantly.   The method for quantifying a chemical component contained in tea leaves according to claim 1 or 2, wherein the chemical component is one or more components selected from the group consisting of catechins, purine bases, and vitamins.   The method for quantifying a chemical component contained in tea leaves according to any one of claims 1 to 3, wherein the chemical component is methylated catechin. A method for quantifying chemical components contained in tea leaves,
Absorbance measurement step of measuring the absorbance of the standard sample using a near-infrared spectrophotometer that irradiates a plurality of standard samples with known chemical component concentrations, near-infrared light having a predetermined wavelength;
A calibration curve calculation step of calculating a calibration curve by at least one of a single regression method or a linear multiple regression method based on each absorbance measured in this absorbance measurement step and the chemical component concentration of the standard sample,
A concentration calculation step of measuring the absorbance at the same wavelength as the standard sample for the target sample whose chemical component concentration is unknown, and calculating the chemical component concentration of the target sample based on the calibration curve from the absorbance value;
The method for quantifying a chemical component contained in a tea leaf according to any one of claims 1 to 4, wherein the chemical component is contained in the tea leaf.   6. The method for quantifying chemical components contained in tea leaves according to claim 5, wherein the wavelength of the near-infrared light is about 1000 nm to about 2500 nm.   The method for quantifying chemical components contained in tea leaves according to claim 5 or 6, wherein the wavelength of the near-infrared light is about 1100 nm to about 2400 nm.   The method for quantifying chemical components contained in tea leaves according to any one of claims 5 to 7, wherein an accuracy (SEP) of the calibration curve in the calibration curve calculation step is 0.4 or less. A program for quantifying chemical components contained in tea leaves,
A plurality of standard samples with known chemical component concentrations are measured based on respective absorbances measured using a near-infrared spectrophotometer that irradiates near-infrared light having a predetermined wavelength, and the chemical component concentrations of the standard samples. A calibration curve calculation step for commanding to calculate a calibration curve by at least one of a single regression method and a linear multiple regression method;
A concentration calculation step for instructing a target sample whose chemical component concentration is unknown to calculate a chemical component concentration of the target sample based on the calibration curve from an absorbance value at the same wavelength as the standard sample;
A program for causing a computer to execute a method for quantifying a chemical component contained in tea leaves. A program for quantifying methylated catechins contained in tea leaves,
A plurality of standard samples with known methylated catechin concentrations, the respective absorbances measured using a near infrared spectrophotometer that irradiates near infrared light having a predetermined wavelength, and the methylated catechin concentrations of the standard samples A calibration curve calculation step for instructing to calculate a calibration curve by at least one of a single regression method or a linear multiple regression method based on
A concentration calculating step for instructing a target sample having an unknown methylated catechin concentration to calculate the methylated catechin concentration of the target sample based on the calibration curve from the absorbance value at the same wavelength as the standard sample;
A program for causing a computer to execute a method for quantifying methylated catechins contained in tea leaves.

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