JP3407006B2 - Rapid determination of mammalian plasma components using visible and near-infrared spectral information - Google Patents

Description

Detailed Description of the Invention

[0001]

TECHNICAL FIELD The present invention relates to a method for rapid measurement of mammalian plasma components based on spectral information in the visible and near infrared regions, which relates to mammalian plasma components, and in particular to a plurality of clinical biochemical measurement items. The present invention relates to a method for rapid measurement without using a reagent and without discharging waste.

[0002]

BACKGROUND OF THE INVENTION Mammalian blood is composed of approximately 60% plasma and red blood cells, and most of clinical biochemical components are distributed in plasma. The clinical biochemical components are inorganic substances such as potassium, organic substances such as proteins, and enzymatic activities such as lactate dehydrogenase. The present invention provides, among such clinical biochemical components,
Plasma neutral fat concentration, inorganic phosphorus concentration, potassium concentration,
The present invention relates to a method for measuring lactate dehydrogenase activity and globulin ratio.

Of clinical biochemical components in plasma, total protein,
The ratio of albumin, urea nitrogen, and albumin globulin is
It is known as an index of the protein intake level of animals. Hitherto, in order to measure these plasma components, analysis was performed by a method using a refractometer, Kjeldahl analysis method, and electrophoresis method. In addition, Janatsch et al. (1989) reported that total plasma, glucose, triglycerides in human plasma were calculated from Fourier-transformed infrared spectrum information instead of near-infrared spectrum.
It was possible to measure total cholesterol, urea, and uric acid (Janatsch G, Kruse-Jarres JD, Marbach R, Heise
HM.Multivariate calibration for assays in clini
cal chemistry using attenuated total reflection in
frared spectra of human blood plasma. Anal. Chem. 6
1 (18): 2016-2023.1989.). Then Holl and Pollard
(1993), it is possible to measure the total protein, albumin, globulin and urea of human serum by using near infrared spectrum information (Hall JW,
Pollard A. Near-infrared spectroscopic determinati
on of serum total proteins, albumin, globulins, an
d urea. Clin. Biochem. 26 (6): 483-490. 1993.).

Neutral fat, phospholipids, free cholesterol and total cholesterol are said to be indicators of long-term energy balance. Among these components, neutral fat, cholesterol and the like have been conventionally analyzed by an enzymatic method or the like. Also, Hayashi et al (1998)
Uses near-infrared spectral information on phospholipids, free cholesterol and total cholesterol in bovine plasma,
It is possible to measure (Hayashi T, Yo
nai, Shimada K, Terada F. Prediction of bovine blo
od plasma cholesterol by near infrared spectrophot
ometry. Anim. Sci. Tech. 69 (7): 674-682. 1998.).

Regarding glucose in plasma, it is important to control the blood glucose level of diabetic patients, and it is expected that there will be much demand. Therefore, development of a non-invasive blood glucose measuring system utilizing near infrared spectrum information has been attempted. . Burmeister and
Arnold (1999) attempted to measure blood glucose by analyzing the near-infrared transmission spectra of the cheeks and lips (Burmeiste).
r JJ, Arnold MA. Evaluation of measurement sites fo
r noninvasive blood glucose sensing with near-infr
ared transmission spectroscopy. Clin. Chem. 45 (9):
1621-1627. 1999.). Heise et al. (2000)
I tried to estimate the blood glucose concentration by irradiating the skin surface with near infrared light, analyzing the reflected light, and setting a calibration curve for each individual (Heise HM, Bittner A, Marbach R. Near-in
frared reflectance spectroscopy for noninvasive mon
itoring of metabolites. Clin. Chem. Lab. Med. 38
(2): 137-145. 2000.).

Further, although phosphorus, which is an inorganic substance, can be measured by a colorimetric method, this method employs a method of consuming an analytical reagent and discharging heavy metals. Further, although potassium is measured by the enzyme electrode method or the like, the enzyme electrode method has a problem that it is difficult to control the accuracy.

Secondly, lactate dehydrogenase is distributed in all tissues and is present in the soluble part of cells. Increased lactate dehydrogenase activity is due to tissue damage in either organ,
It shows that it is eluting. This enzyme activity measurement needs to be performed using an expensive reagent.

[0008] These clinical biochemical components have a normal value or a recommended value established for each animal species, are widely known as indicators of human lifestyle-related diseases, and are regarded as important as information relating to metabolic diseases. . In clinical biochemical analysis of mammalian plasma, analysis is mainly performed by an automatic analyzer that applies known analysis methods such as the colorimetric method, the enzyme method, the enzyme electrode method described above. It was

[0009]

However, the conventional method has many problems in analysis of plasma, such as consumption of expensive analysis reagent, discharge of waste liquid containing heavy metals, and long analysis time. It was In addition, in an urgent case, even if the accuracy of analysis is slightly lowered, there is a case where information on clinical biochemical measurement items that can be promptly judged is needed, and a system that realizes rapidity is particularly required. However, there has never been a system that realizes such promptness.

It is an object of the present invention to provide a system for rapidly and inexpensively measuring plasma components of mammals without using expensive analytical reagents and without discharging harmful waste water. is there.

[0011]

According to the present invention of claim 1, in measuring plasma components of a mammal, plasma is separated from mammalian blood, and the separated plasma is analyzed by a near infrared spectrophotometer. Using the visible light and near-infrared region of the wavelength of 400-2500nm, the first-order difference and the second-order difference of the absorbance are calculated, the visible-light and near-infrared region of the absorbance, the first-order difference of the absorbance and the second-order The difference is used as an independent variable, and 2 to 10 independent variables each having a high explanatory power are selected from the independent variable. From the information of the independent variable having a high explanatory power, plasma neutral fat concentration, inorganic phosphorus concentration,
Rapid measurement of mammalian plasma components by spectral information in the visible and near-infrared regions, characterized by predicting potassium concentration, lactate dehydrogenase activity and albumin globulin ratio, respectively, and realizing the measurement based on the predicted values It provides the law.

The present invention according to claim 2 uses the near-infrared spectrophotometer to measure the neutral fat concentration in the plasma of mammals without using any reagent, and at ± 4n at 2444 nm.
Absorbance up to m, and 656 nm, 724 nm, 75
6 nm, 796 nm, 882 nm, 1040 nm, 19
72 nm, 2270 nm, 2354 nm ±
The method according to claim 1, wherein the neutral fat concentration is measured by using 2-10 pieces of information selected from the primary difference up to 4 nm.

The present invention according to claim 3 uses the near-infrared spectrophotometer without using a reagent in measuring the concentration of inorganic phosphorus in mammalian plasma, using a near infrared spectrophotometer of ± 4n.
Absorbance up to m, and 514 nm, 576 nm, 77
0 nm, 1132 nm, 1178 nm, 1234 nm,
The method according to claim 1, wherein the inorganic phosphorus concentration is measured by utilizing 2-10 pieces of information selected from the first-order differences of up to ± 4 nm of 1250 nm, 2008 nm, and 2384 nm, respectively. It is a thing.

The present invention according to claim 4 uses the near-infrared spectrophotometer to measure the potassium concentration in the plasma of mammals without using any reagent, and at ± 4n at 2416 nm.
Absorbance up to m, and 428 nm, 690 nm, 12
28 nm, 1380 nm, 1382 nm, 1952n
m, 2260 nm, 2340 nm, 2396 nm 2-1 selected from the first-order differences up to ± 4 nm
The method according to claim 1, wherein the potassium concentration is measured using 0 pieces of information.

In the present invention according to claim 5, when measuring lactate dehydrogenase activity in mammalian plasma, a near infrared spectrophotometer is used without using a reagent, and 1450 nm, 1
Absorbance up to ± 4 nm at 918 nm, respectively, and 4
12 nm, 506 nm, 516 nm, 646 nm, 19
76 nm, 1990 nm, 2040 nm, 2378 nm
2. The method according to claim 1, wherein the lactate dehydrogenase activity is measured by utilizing 2-10 pieces of information selected from the first-order differences of each of up to ± 4 nm. .

According to the present invention of claim 6, in measuring the albumin globulin ratio in mammalian plasma, a near infrared spectrophotometer is used without using a reagent, at 604 nm,
1726 nm, 1858 nm, 2192 nm, 2194
nm, 2218 nm, 2220 nm, 2222 nm, 2
2. The method according to claim 1, wherein the albumin globulin ratio is measured by using 2-10 pieces of information selected from the first-order differences of 224 nm and 2248 nm up to ± 4 nm. is there.

[0017]

BEST MODE FOR CARRYING OUT THE INVENTION The present invention will be described in detail below. First, the present invention according to claim 1 relates to a rapid method for measuring a mammalian plasma component by spectral information in the visible and near-infrared regions. When measuring a mammalian plasma component, plasma is separated from mammalian blood. , The separated plasma using a near infrared spectrophotometer at a wavelength of 400-25
The absorbance in the visible and near infrared region of 00 nm is measured, the first-order difference and the second-order difference of the absorbance are calculated, and the absorbance in the visible and near-infrared regions, the first-order difference and the second-order difference of the absorbance are used as independent variables, From each of the independent variables, 2 to 10 independent variables with high explanatory power were selected, and from the information of the independent variables with high explanatory power, plasma neutral fat concentration, inorganic phosphorus concentration, potassium concentration, lactate dehydrogenation. It is characterized in that the enzyme activity and the albumin globulin ratio are respectively predicted, and the measurement is realized based on the predicted values.

In the present invention according to claim 1, first,
Plasma is separated from mammalian blood. Examples of suitable mammals include, but are not limited to, cows such as beef and dairy cows, livestock such as pigs and goats, and humans.

Next, the absorbance of the separated plasma in the visible and near infrared region of wavelength 400-2500 nm is measured using a near infrared spectrophotometer. At this time, the plasma sample uses a near-infrared spectrophotometer and a transmission type quartz cell to measure the absorbance in the visible and near-infrared region (wavelength 400-2500 nm). Further, the first-order difference and the second-order difference of the original spectrum data are obtained to obtain the independent variable. At this time, the total number of independent variables is 3,000 or more.

Specifically, since the absorbances in the visible and near infrared region of 400-2500 nm are measured at wavelength intervals of 2 nm, a total of 1050 absorbances of (2500-400) / 2 at each wavelength can be obtained. . Of these, approximately 400-800 nm is the visible region. Then this one
When the primary difference of 050 pieces of absorbance information is calculated, it is 105
0-1 pieces of information are obtained. Further, when the secondary difference is calculated, 1050-2 pieces of information are obtained. Therefore, when these are summed up (1050 + 1049 + 1048), a total of 3147 pieces of information are obtained.

From the above 3000 or more independent variables, independent variables having a high explanatory power are selected. Here, as a method of analysis for associating the objective variable and the independent variable, the conventional variable selection type multiple regression analysis is a conventional method, but it is difficult to obtain an optimal solution because of the large number of independent variables.

The independent variable having a high explanatory power to be selected differs depending on each plasma component, and the present inventors have set the independent variable, that is, wavelength information, in the range of 2-10 for each target component. Selected.

When predicting the triglyceride concentration of plasma components, the absorbance at 2444 nm and 656 nm, 724 nm, 756 nm, 79 are used as described in claim 2.
6 nm, 882 nm, 1040 nm, 1972 nm, 2
2-10 pieces of information selected from the respective primary differences of 270 nm and 2354 nm are important. However, although the accuracy is lowered by using the absorbance and the first-order difference information in the range of ± 4 nm of each of these wavelengths,
It is possible to predict the neutral fat concentration.

When predicting the concentration of inorganic phosphorus in plasma components, the absorbance at 1992 nm, and 514 nm, 576 nm, 770 nm, 11 as described in claim 3.
32 nm, 1178 nm, 1234 nm, 1250 n
2-10 pieces of information selected from the respective primary differences of m, 2008 nm, and 2384 nm are important. However, by using the absorbance and the first-order difference information in the range of each wavelength up to ± 4 nm, the accuracy can be reduced, but the inorganic phosphorus concentration can be predicted.

When predicting the potassium concentration of plasma components, the absorbance at 2416 nm and 428 nm, 690 nm, 1228 nm, 1
380nm, 1382nm, 1952nm, 2260n
2-10 pieces of information selected from the respective primary differences of m, 2340 nm, and 2396 nm are important. However, by using the absorbance and the first-order difference information in the range of each wavelength up to ± 4 nm, the accuracy can be reduced, but the potassium concentration can be predicted.

When predicting the lactate dehydrogenase activity of plasma components, as described in claim 5, 1450 nm,
The respective absorbance at 1918 nm, and 412 nm,
506 nm, 516 nm, 646 nm, 1976 nm,
2-10 pieces of information selected from the respective primary differences of 1990 nm, 2040 nm, and 2378 nm are important. However, by using the absorbance and the first-order difference information of these wavelengths within ± 4 nm, the lactate dehydrogenase activity can be predicted, although the accuracy decreases.

When predicting the albumin globulin ratio of the plasma component, as described in claim 5, 604n
m, 1726 nm, 1858 nm, 2192 nm, 21
94nm, 2218nm, 2220nm, 2222n
2-10 pieces of information selected from the respective primary differences of m, 2224 nm, and 2248 nm are important. However, the albumin globulin ratio can be predicted by using the absorbance and the first-order difference information in the range of each wavelength up to ± 4 nm, although the accuracy decreases.

In this way, from the independent variables, 2 to 10 independent variables each having a high explanatory power were selected, and from the information, unknown neutral fat concentration in plasma, inorganic phosphorus concentration,
The potassium concentration, lactate dehydrogenase activity and albumin globulin ratio are predicted, and the measurement is realized based on the predicted values.

That is, for each plasma component to be obtained, 2-10 are selected from the 3000 or more independent variables.
Individual variables with high explanatory power are selected, and a linear form in which n is 2-10 is created from the information of the independent variable with high explanatory power. Specifically, the linear form represented by the following equation (1) is created.

[0030] Y = b0 + b1 * x1 + b2 * x2 + b3 * x3 ... + bn * xn (1)

In the formula (1), Y on the left side is each plasma component. X1, x2, x3 ... xn on the right side are
It is 2-10 independent variables selected from the absorbance in the visible and near-infrared regions, the first-order difference, and the second-order difference. b
0 is a constant and bn is a partial regression coefficient corresponding to each xn.

Here, b0, b1, ..., Bn are all different depending on each plasma component, and they are obtained by the method of multiple regression analysis, and in unknown plasma from the information of these selected independent variables and parameters. Predict each component of and realize the measurement. After the parameters such as b0 and bn are determined, the measurement from the near-infrared spectrum of plasma to the prediction of plasma components can be performed within a short time of within a few minutes, and extremely rapid measurement is possible.

That is, for example, when predicting the neutral fat concentration of plasma components, as described above, the absorbance at 2444 nm and 656 nm, 724 nm, 756 nm,
796 nm, 882 nm, 1040 nm, 1972n
The information of the first-order differences of m, 2270 nm, and 2354 nm are selected as independent variables having high explanatory power, and these are set as x1, x2, ..., Xn, respectively, and the predicted neutral fat concentration is defined as Y (target variable). When Y = b0 + b1 * x1 + b2 * x2 + ... + bn * x
b0, b1, ..., Bn such that the equation of n 1 holds, and the unknown neutral fat concentration is predicted by this equation.

The predicted value thus obtained was compared with the actually measured value. As shown in the examples below, some plasma components have a coefficient of determination that is not very high, but they are inexpensive,
In addition, these components can be used for screening-like measurement because extremely rapid measurement is possible. In addition, the measurement of the actual measurement value was carried out by collecting a plasma sample from the blood of a mammal and using a clinical biochemical automatic analyzer to measure plasma neutral fat concentration, inorganic phosphorus concentration, potassium concentration, lactate dehydrogenase activity, albumin globulin. About the ratio,
Each was analyzed.

[0035]

EXAMPLES The present invention will now be described in detail with reference to examples, but the present invention is not limited thereto. The following examples were basically carried out as follows. That is, plasma was collected from beef cattle and dairy cows, and the neutral fat concentration in plasma, inorganic phosphorus concentration, potassium concentration, lactate dehydrogenase activity, albumin globulin ratio,
Predicted values were calculated by the following methods, respectively, and compared with the measured values by the conventional method.

Example 1 (Measurement of Neutral Fat Concentration in Plasma) Near-infrared spectrophotometer and transmission quartz were used for plasma collected from beef cattle and dairy cattle cultivated at the Ministry of Agriculture, Forestry and Fisheries and the Tohoku Agricultural Experiment Station. Using the cell, wavelength 400-2
Absorbance in the visible and near-infrared region of 500 nm is measured at 2 nm intervals, the first-order difference and second-order difference of the absorbance are calculated, and the absorbance in the visible and near-infrared region, the first-order difference and second-order difference of the absorbance are obtained. As a total of 3147 independent variables, 2-10 independent variables with high explanatory power were selected from the independent variables, and the plasma concentration was predicted from the information of the independent variable with high explanatory power. The coefficient of determination is the square of the correlation coefficient. When the measured value is Y, the predicted value is x, the number of data is n, and the square root is sqrt (), the prediction error is sqrt (Σ
(Y-x) ^ 2 / n). In measuring the plasma triglyceride concentration, the absorbance at 2444 nm and 656 nm were used as independent variables with high explanatory power.
724 nm, 756 nm, 796 nm, 882 nm, 1
040nm, 1972nm, 2270nm, 2354n
Using the information of each first-order difference of m, the predicted value and the actual measurement value of plasma neutral fat concentration were obtained. The results are shown in Fig. 1. The regression line in this case is Y = 1.560 + 0.8239x
Was represented by. The coefficient of determination was 0.7338 and the prediction error was 4.6098.

The plasma triglyceride concentration (FIG. 1) shown in Example 1 well represents the energy balance in the medium to long term and is utilized as useful information for detecting various lifestyle-related diseases.
The method of the present invention is excellent in that the coefficient of determination for neutral fat is rather low and the total analysis cost is high.

Example 2 (Measurement of Phosphorus Concentration in Plasma) As an independent variable having high explanatory power, the absorbance at 1992 nm,
And 514 nm, 576 nm, 770 nm, 1132
nm, 1178 nm, 1234 nm, 1250 nm, 2
A predicted value and an actually measured value of the phosphorus concentration in plasma were obtained in the same manner as in Example 1 except that the information on the first-order differences of 008 nm and 2384 nm was used. The results are shown in Figure 2.
The regression line in this case is Y = 0.5221 + 0.931
It was represented by 1x. The coefficient of determination is 0.6824
And the prediction error was 0.7448.

Example 3 (Measurement of Potassium Concentration in Plasma) As an independent variable having high explanatory power, the absorbance at 2416 nm,
And 428 nm, 690 nm, 1228 nm, 138
0 nm, 1382 nm, 1952 nm, 2260 nm,
A predicted value and an actually measured value of the plasma potassium concentration were obtained in the same manner as in Example 1 except that the information on the first-order differences of 2340 nm and 2396 nm was used. The results are shown in Fig. 3. The regression line in this case is Y = 0.0377 + 0.
It was represented by 9776x. R-squared is 0.5
552 and the prediction error was 0.3750.

Inorganic substances such as plasma phosphorus concentration (FIG. 2) and potassium concentration (FIG. 3) measured in Examples 2 and 3 have been difficult to measure by near infrared until now. It was shown that it can be predicted with a certain accuracy by using it.

Example 4 (Measurement of Lactate Dehydrogenase Activity in Plasma) As an independent variable having high explanatory power, 1450 nm, 1918
Absorbance at 4 nm, and 412 nm, 506n
m, 516 nm, 646 nm, 1976 nm, 1990
nm, 2040 nm, and 2378 nm, respectively, except that the first-order difference information is used.
Predicted and measured values for plasma lactate dehydrogenase activity were obtained.
The results are shown in Fig. 4. The regression line in this case is Y = 25
It was represented by 8.93 + 0.7517x. The coefficient of determination is 0.5751, and the prediction error is 91.589.
Met.

The plasma lactate dehydrogenase activity measured in Example 4 (FIG. 4) was also expected to be extremely difficult to measure by the near infrared, but according to FIG.
It was shown that it is possible to predict with a certain accuracy by collecting related information such as leaked components of cytoplasm.

Example 5 (Measurement of albumin globulin ratio in plasma) As independent variables with high explanatory power, 604 nm, 1726n
m, 1858 nm, 2192 nm, 2194 nm, 22
18nm, 2220nm, 2222nm, 2224n
The predicted value and the actually measured value of the plasma albumin globulin ratio were obtained in the same manner as in Example 1 except that the information of the first-order difference of m and 2248 nm was used. Results are shown in FIG. The regression line in this case is Y = -0.0314 +
It was represented by 1.0378x. The coefficient of determination was 0.8389 and the prediction error was 0.1074.

The plasma albumin globulin ratio (FIG. 5) shown in Example 5 is not a primary information but a calculated value from albumin concentration, but it should be predicted with a certain accuracy directly from near infrared information. Is possible.

According to the above Examples 1 to 5, the neutral fat concentration in plasma, the inorganic phosphorus concentration, the potassium concentration, the lactate dehydrogenase activity, the albumin globulin, and the albumin globulin were obtained only by the spectral information in the visible and near infrared regions. It is clear that each component of the ratio can be measured simultaneously in a very short time, without the use of reagents and without discharging waste.

[0046]

EFFECTS OF THE INVENTION According to the method of the present invention, it is possible to rapidly measure the plasma components of mammals with a certain accuracy, without using expensive analytical reagents, without discharging harmful waste water and waste liquid. it can. Moreover, there is an advantage that not only measurement of all items can be completed in a few minutes but also many measurement items can be measured by one measurement.

Although the coefficient of determination of triglyceride is slightly low, it has been difficult to measure the inorganic phosphorus concentration, potassium concentration, and other inorganic substances by near-infrared radiation, but it can be predicted with a certain degree of accuracy. it can.

Further, it was supposed that it is difficult to measure the enzyme activity such as lactate dehydrogenase activity in plasma by near infrared, but according to the method of the present invention, information such as leaked components of cytoplasm can be obtained. By collecting the data, it is possible to make a prediction with a certain accuracy.

The plasma albumin globulin ratio is not a primary information but a calculated value, but according to the method of the present invention, it is possible to predict directly from the near infrared information with a certain accuracy. .

[Brief description of drawings]

FIG. 1 is a graph showing a relationship between a predicted value of plasma neutral fat concentration and an actually measured value.

FIG. 2 is a graph showing the relationship between the predicted value and the actually measured value of the concentration of inorganic phosphorus in plasma.

FIG. 3 is a graph showing a relationship between a predicted value of plasma potassium concentration and an actually measured value.

FIG. 4 is a graph showing the relationship between the predicted value and the actually measured value of plasma lactate dehydrogenase activity.

FIG. 5 is a graph showing the relationship between the predicted value and the actually measured value of the albumin globulin ratio in plasma.

─────────────────────────────────────────────────── ─── Continuation of the front page (51) Int.Cl. ⁷ Identification code FI G01N 33/84 G01N 33/84 Z 33/92 33/92 (72) Inventor Fuminori Terada 2 Ikenodai, Kashizaki-cho, Inashiki-gun, Ibaraki Agriculture, Forestry and Fisheries (56) References JP-A-9-187295 (JP, A) JP-A-10-104162 (JP, A) JP-A-54-116283 (JP, A) JP-A-7-203988 (JP , A) (58) Fields surveyed (Int.Cl. ⁷ , DB name) G01N 21/00-21/01 G01N 21/17-21/61 JISST file (JOIS) Practical file (PATOLIS) Patent file (PATOLIS)

Claims (6)

(57) [Claims] 1. When measuring a plasma component of a mammal, plasma is separated from blood of the mammal, and the separated plasma is measured at a wavelength of 400-25 using a near infrared spectrophotometer.
The absorbance in the visible and near infrared region of 00 nm is measured, the first-order difference and the second-order difference of the absorbance are calculated, and the absorbance in the visible and near-infrared regions, the first-order difference and the second-order difference of the absorbance are used as independent variables, From each of the independent variables, 2 to 10 independent variables with high explanatory power were selected, and from the information of the independent variables with high explanatory power, plasma neutral fat concentration, inorganic phosphorus concentration, potassium concentration, lactate dehydrogenation. A method for rapid measurement of mammalian plasma components by spectral information in the visible and near-infrared regions, which comprises predicting enzyme activity and albumin globulin ratio, respectively, and realizing the measurement based on the predicted values. 2. When measuring the concentration of triglyceride in mammalian plasma, using a near infrared spectrophotometer without using a reagent, the absorbance up to ± 4 nm from 2444 nm, and 6
56nm, 724nm, 756nm, 796nm, 88
2 nm, 1040 nm, 1972 nm, 2270 nm,
The method according to claim 1, wherein the neutral fat concentration is measured by using 2-10 pieces of information selected from the first-order differences up to ± 4 nm of 2354 nm. 3. When measuring the concentration of inorganic phosphorus in mammalian plasma, using a near-infrared spectrophotometer without using a reagent, the absorbance up to ± 4 nm from 1992 nm, and 5
14 nm, 576 nm, 770 nm, 1132 nm, 1
178nm, 1234nm, 1250nm, 2008n
2. The method according to claim 1, wherein the inorganic phosphorus concentration is measured using 2-10 pieces of information selected from the first-order differences of m and 2384 nm up to ± 4 nm. 4. When measuring the concentration of potassium in mammalian plasma, using a near infrared spectrophotometer without using a reagent, the absorbance up to ± 4 nm of 2416 nm, and 4.
28 nm, 690 nm, 1228 nm, 1380 nm,
1382 nm, 1952 nm, 2260 nm, 2340
2. The method according to claim 1, wherein the potassium concentration is measured using 2-10 pieces of information selected from the first-order differences of up to ± 4 nm for each of nm and 2396 nm. 5. When measuring lactate dehydrogenase activity in mammalian plasma, a near-infrared spectrophotometer is used without using a reagent to measure ± 1450 nm and 1918 nm, respectively.
Absorbance up to 4 nm, and 412 nm, 506 nm,
516nm, 646nm, 1976nm, 1990n
± 4 nm for m, 2040 nm, and 2378 nm
2. The method according to claim 1, wherein the lactate dehydrogenase activity is measured using 2-10 pieces of information selected from among the primary differences up to. 6. A method for measuring an albumin globulin ratio in mammalian plasma using a near-infrared spectrophotometer without using a reagent, which is 604 nm, 1726 nm, 1858.
nm, 2192 nm, 2194 nm, 2218 nm, 2
220nm, 2222nm, 2224nm, 2248n
The method according to claim 1, wherein the albumin globulin ratio is measured using 2-10 pieces of information selected from the first-order differences of m up to ± 4 nm.