JPH0643149A - Data processing method - Google Patents

Abstract

PURPOSE:To perform data processing accurately for obtaining the peak area of one code in a data where positive and negative peaks on a base line which is not 0 and is inclined exist. CONSTITUTION:The starting and ending points of a peak are retrieved regardless of the sign of a data value and that of peak direction from a measurement data where positive and negative peaks are on the base line which is not 0 by a data processing method. Only the upper or lower part in reference to the straight line connecting the peak starting point and ending point is integrated.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a chromatogram data processing method.

[0002]

2. Description of the Related Art In chromatogram data processing,
By subtracting the data of the standard sample from the data of the measurement sample, the difference between the measurement sample and the standard sample, such as the mixed components, may be detected or analyzed, but the difference between the mixed components and the like is shown. In the data, in general, there may be a peak that deviates from the baseline to the negative side. In the analysis of data having such positive and negative peaks, integrated data of only positive peaks and integrated data of only negative peaks are required. Therefore, when the area of the positive peak is calculated, it is necessary to remove the peak swayed to the negative side. Conventionally, as shown in FIG. 3, in the removal processing of the peak data shifted to the negative side, the baseline of the data is considered to be 0, and the data of 0 or less (the diagonally downward-sloping portion in FIG. 3) is removed. From the above, the area calculation of the downward-sloping diagonal line portion from the peak start point t _s to the peak end point t _E was performed.
This is a method based on the assumption that the baseline is the same for both the measurement sample and the standard sample, but in reality, the baselines of both are not the same, so the actual baseline has a positive or negative value, and in general, For example, since it is inclined at the position shown by the dotted line in FIG. 2 and the removal processing as described above cannot accurately determine the peak area, it is impossible to obtain an accurate analysis result. There was a problem called difficult.

[0003]

The data processing in which the peak area of one code is obtained with the above-described data which is not 0 and has positive and negative peaks on the inclined baseline is accurate. The purpose is to do well.

[0004]

[Means for Solving the Problems] In data processing, 0
The peak start point and end point are searched from the measured data in which the positive and negative peaks are on the baseline, regardless of whether the data value is positive or negative, and the peak end point. Only the part above or below the straight line connecting the end points is integrated.

[0005]

A feature of the present invention is that, when detecting the starting point and the ending point of a peak from data, the starting point and the ending point of the peak are detected regardless of whether the data value is positive or negative and the direction of the peak. That is, as shown in FIG. 2, since the start point and the end point of the peak are on the baseline, if these two points are connected by a dotted line in FIG. 2, this dotted line can be regarded as the baseline of this peak existing section. . Therefore, a baseline is created by connecting the start and end points of the peaks searched in this way. For example, if a positive peak area is to be obtained from detection data, the baseline created as described above By integrating the data from which the following data has been removed, the positive peak area (the portion with the diagonal line falling to the right in FIG. 2) can be accurately obtained.

[0006]

DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 1 shows a flowchart of an embodiment of the present invention. First, the detected data is differentiated in the time direction, and the time point t _{P, that} is, the peak top (see FIG. 2) at which the absolute value of the differential value | dy / dt | becomes equal to or less than the appropriately set peak detection sensitivity MS is searched (see ), T _P , the detection data is searched in the opposite direction from the time point t _P , the time interval sensitivity for baseline detection is BT, the intensity sensitivity for baseline detection is BV, and the detection data is Maximum in BT interval,
The minimum disparity is obtained, and the section where the disparity is BV or less is searched. The midpoint of the searched section is set to the peak start point t
_s (see Fig. 2) (a). Next, by reversing the data search direction and moving from t _P to the time advancing direction, the maximum and minimum disparities of the detected data are obtained at BT intervals, and a section in which the disparity is BV or less is searched. The midpoint of the searched section is set as the peak end point t _E (see FIG. 2) (c). The straight line connecting t _s and t _E (dotted line in Fig. 2) is used as the baseline, and data below the baseline (negative peak portion; diagonally downward-sloping portion on the left) is excluded, and the portion above the baseline (sloping portion at the downward-right portion) ) Is used as a regular detection peak, and the area of the peak is calculated (d). Search for the next peak (a). Similarly, the data processing is terminated when the detected peaks disappear. Here, the time interval sensitivity BT for detecting the base line is wider than the time differential of the differential operation described above (about the half width of the peak or more). This is to prevent false detection of the peak top or the valley bottom of the peak as the baseline.

[0007]

According to the present invention, since the baseline can be estimated with high accuracy, the peak area can be accurately obtained, and the analysis accuracy is further improved.

[Brief description of drawings]

FIG. 1 is a flowchart of an embodiment of the present invention.

FIG. 2 is an explanatory diagram of detection data processing in the above embodiment.

FIG. 3 is an explanatory diagram of detection data processing in a conventional example.

Claims (1)

[Claims] 1. A start point and an end point of a peak are searched from measured data in which positive and negative peaks are on a non-zero baseline regardless of whether the data value is positive or negative and the peak direction. , A data processing method characterized by integrating only a portion above or below a straight line connecting the start point and the end point of the peak.