Data processing device

1. A data processing device that processes three-dimensional data having time, intensity, and a third dimension collected from a sample serving as a measurement target, the data processing device comprising:

a) an intensity-time graph generator configured to generate an intensity-time graph with the intensity and the time plotted on axes from the three-dimensional data;

b) a target peak determiner configured to determine any one peak from peaks appearing on the intensity-time graph to be a target peak;

c) a time point specifier configured to specify a time point at which a size of a spectrum with the intensity and the third dimension plotted on axes matches a predetermined value from a time range from a start time point to an end time point of the target peak in the three-dimensional data;

d) a target spectrum generator configured to extract data at the time point specified by the time point specifier from the three-dimensional data and generate a target spectrum with the intensity and the third dimension at the time point plotted on axes; and

e) a size specifier configured to specify a size of a reference spectrum that is a spectrum with the intensity and the third dimension plotted on axes, the spectrum being acquired in advance for a known material, wherein the time point specifier uses the size of the reference spectrum as the predetermined value.

2. The data processing device of claim 1 , wherein the third dimension is a wavelength, the intensity-time graph is a chromatogram, and the spectrum is a wavelength spectrum.

3. The data processing device of claim 1 , wherein the third dimension is m/z, the intensity-time graph is a chromatogram, and the spectrum is a mass spectrum.

4. The data processing device of claim 1 , further comprising:

f) a peak purity determiner configured to determine whether a signal deriving from a single component in the sample is overlapped with a signal deriving from another factor at each time point in the time range during which the target peak appears in the three-dimensional data, wherein

the time point specifier specifies, in the three-dimensional data, a time point other than a time point that is determined to include an overlap with a signal deriving from the other factor in the time range during which the target peak appears, at which time point the size of the spectrum matches the predetermined value or approximates most to the predetermined value.

5. The data processing device of claim 1 , further comprising:

g) a peak separator configured to separate the three-dimensional data collected from the sample serving as the measurement target into pieces of three-dimensional data on individual components in the sample, wherein

among the three-dimensional data on the individual components, one piece of three-dimensional data corresponding to a predetermined component, or three-dimensional data obtained by subtracting a piece of three-dimensional data corresponding to components other than the predetermined component from the three-dimensional data before separation performed by the peak separator is used for processing performed by the intensity-time graph generator, the target peak determiner, the time point specifier, and the target spectrum generator.

6. The data processing device of claim 1 , further comprising:

a reference spectrum storage unit configured to store therein a reference spectrum used for similarity calculation; and

a similarity calculation unit configured to compare the target spectrum generated by the target spectrum generator with the reference spectrum stored in the reference spectrum storage unit, thereby calculating similarity between the target spectrum and the reference spectrum.

7. The data processing device of claim 6 , wherein the time point specifier specifies a plurality of time points at which the size of the spectrum matches a predetermined value,

the target spectrum generator generates the target spectrum at each of the time points, and

the similarity calculation unit calculates similarity between the target spectrum at each of the time points and the reference spectrum, and calculates an average value of resulting similarities.

8. The data processing device of claim 1 , wherein the third dimension is plotted continuously in the reference spectrum.

9. A data processing method for processing three-dimensional data having time, intensity, and a third dimension collected from a sample serving as a measurement target, the data processing method comprising:

a) generating an intensity-time graph with the intensity and the time plotted on axes from the three-dimensional data;

b) determining any one peak from peaks appearing on the intensity-time graph to be a target peak;

c) specifying a size of a reference spectrum that is a spectrum with the intensity and the third dimension plotted on axes, the spectrum being acquired in advance for a known material and

d) specifying a time point at which a size of a spectrum with the intensity and the third dimension plotted on axes matches the size of the reference spectrum from a time range from a start time point to an end time point of the target peak in the three-dimensional data;

e) extracting data at the specified time point from the three-dimensional data and generating a target spectrum with the intensity and the third dimension at the time point plotted on axes.

10. The data processing method of claim 9 , wherein the three-dimensional data is collected by introducing a sample that is the measurement target into a column, and repeatedly performing measurement on an eluted liquid sequentially eluted from the column using a multi-channel photodetector or a spectrophotometer capable of wavelength scanning,

the third dimension is a wavelength, and

a plurality of standard samples having different densities are measured with the multi-channel photodetector or the spectrophotometer capable of wavelength scanning without separation through a column, a sum of signal intensity in the same wavelength range as the target spectrum is obtained, a graph plotting a relation between the sum of the signal intensity and the densities of the standard samples is generated, and the signal intensity at an upper limit of a range in which the graph exhibits linearity is set to be the predetermined value.