Data processing system for chromatography

Abstract

A data processing system for chromatography rapidly explores optimum analysis conditions. The data processing system for chromatography includes a data storage section (8) and a data processing section (10) capable of performing automatic identification for automatically performing identification processing of setting one chromatogram selected from a plurality of chromatograms stored in the data storage section (8) as a reference chromatogram, setting a plurality of component peaks on the reference chromatogram as reference peaks, and specifying which of the component peaks on the other chromatograms other than the reference chromatogram among the plurality of chromatograms correspond to the plurality of reference peaks, respectively. The data processing section (10) is configured in such a manner that, in the automatic identification, each peak parameter of the plurality of reference peaks is set as each reference parameter, and each peak parameter of the component peaks on the other chromatograms is subjected to filtering using the reference parameter, thereby specifying the component peaks corresponding to the plurality of reference peaks, respectively.

Description

TECHNICAL FIELD

[0001] The present application relates to a data processing system for chromatograms obtained by chromatographic analysis such as liquid chromatographic analysis. BACKGROUND

[0002] In order to obtain a desired analysis result by liquid chromatographic analysis, it is necessary to perform analysis under analysis conditions suitable for a sample, and it is necessary to set analysis conditions for each sample (see Patent Literature 1). In order to explore the optimum analysis conditions for a sample, analysis is usually performed under different analysis conditions for the same sample, and the analysis conditions are determined based on a plurality of analysis results obtained by these analyses.

[0003] [Related Art]

[0004] [Patent Literature]

[0005] [Patent Literature 1] Japanese Patent Application Laid-Open No. 2015-166724 SUMMARY

[0006] [Problems to be Solved by the Invention]

[0007] In order to explore the optimum analysis conditions for a sample, it is necessary to relatively evaluate component peaks respectively appearing in a plurality of chromatograms obtained by analysis under different analysis conditions, and so far, the user has performed an identification process of confirming the chromatograms one by one and establishing a correspondence relationship between the component peaks appearing in each chromatogram. However, this identification work is very cumbersome, and hinders the rapid exploration of analysis conditions.

[0008] Therefore, an object of the present application is to provide a data processing system for chromatography that enables rapid exploration of the optimum analysis conditions for a sample.

[0009] [Technical Means to Solve the Problems]

[0010] In a first embodiment of the data processing system for chromatography of the present application, there is provided a data processing system for chromatography, including: a data storage section storing a plurality of chromatograms obtained by performing chromatographic analysis on the same sample under a plurality of analysis conditions different from each other; and a data processing section performing data processing on the plurality of chromatograms stored in the data storage section, the data processing section being capable of performing automatic identification for automatically performing identification processing of setting one chromatogram selected from the plurality of chromatograms stored in the data storage section as a reference chromatogram, setting a plurality of component peaks on the reference chromatogram as reference peaks, respectively, and specifying which of the component peaks on the other chromatograms other than the reference chromatogram among the plurality of chromatograms correspond to the plurality of reference peaks, respectively, the data processing section being configured in such a manner that, in the automatic identification, each peak parameter of the plurality of reference peaks is set as each reference parameter, and each peak parameter of the component peaks on the other chromatograms is subjected to filtering using the reference parameters, thereby specifying the component peaks corresponding to the plurality of reference peaks, respectively.

[0011] In a second embodiment of the data processing system for chromatography of the present application, there is provided a data processing system for chromatography, including: a data storage section storing a plurality of chromatograms obtained by performing chromatographic analysis on the same sample under a plurality of analysis conditions different from each other; and a data processing section performing data processing on the plurality of chromatograms stored in the data storage section, the data processing section being capable of performing manual identification for manually performing identification processing by a user of setting one chromatogram selected from the plurality of chromatograms stored in the data storage section as a reference chromatogram, setting a plurality of component peaks on the reference chromatogram as reference peaks, respectively, and specifying which of the component peaks on a plurality of other chromatograms other than the reference chromatogram among the plurality of chromatograms correspond to the plurality of reference peaks, respectively, the data processing section being configured in such a manner that, in the manual identification, the user can continuously or at once perform an operation of specifying a reference peak as an identification target among the reference peaks, and an operation of specifying a plurality of component peaks corresponding to the reference peak as the identification target among the plurality of other chromatograms in a state of displaying the plurality of other chromatograms in a list.

[0012] Here, the operation of specifying a plurality of component peaks corresponding to the reference peak as the identification target can be performed "continuously" in a state of fixing the reference peak as the identification target, and the operation of specifying a plurality of component peaks corresponding to the reference peak as the identification target can be performed "at once" in a state of setting the plurality of component peaks as simultaneously selected.

[0013] [Effects of the Invention]

[0014] According to the first embodiment of the data processing system for chromatography of the present application, automatic identification can be performed, i.e., identification processing of establishing correspondence between component peaks in a plurality of chromatograms can be automatically performed by performing filtering using the peak parameters of the component peaks, and thus, without the user performing the operation of confirming the plurality of chromatograms one by one and specifying the component peaks in correspondence, rapid exploration of the optimum analysis conditions for the sample can be achieved.

[0015] According to the second embodiment of the data processing system for chromatography of the present application, manual identification for manually performing identification processing of establishing correspondence between component peaks in a plurality of chromatograms by the user can be performed, and the system is configured in a manner in which, in the manual identification, the user can continuously or at once perform the operation of specifying a plurality of component peaks in correspondence in a state in which a plurality of chromatograms are displayed in a list, and thus, without the user performing the operation of confirming the plurality of chromatograms one by one and specifying the component peaks in correspondence, rapid exploration of the optimum analysis conditions for the sample can be achieved. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 is a block diagram showing an embodiment of a data processing system.

[0017] Figure 2 is a flowchart showing an example of the operation in the automatic identification of the same embodiment.

[0018] Figure 3 is a flowchart showing an example of the operation in the manual identification of the same embodiment.

[0019] Figure 4 is a flowchart showing an example of the exploration operation of the analysis conditions in the same embodiment.

[0020] Figure 5 is a diagram showing an example of the condition setting screen in the identification processing in the automatic identification of the same embodiment.

[0021] Figure 6 is a diagram showing an example of the manual identification screen of the same embodiment.

[0022] [Explanation of Symbols]

[0023] 1: Data processing system

[0024] 2: Data processing device

[0025] 4: Input device

[0026] 6: Display

[0027] 8: Data storage section

[0028] 10: Data processing section

[0029] 100: LC Department Detailed Implementation

[0030] Hereinafter, an embodiment of the data processing system of the present invention will be described with reference to the drawings.

[0031] Figure 1 This represents the general structure of the data processing system.

[0032] Data processing system 1 includes a data processing device 2, an input device 4, and a display 6. The data processing device 2 is a computer device such as a personal computer (PC) equipped with electronic circuitry of a central processing unit (CPU) and information storage devices such as hard disk drives or flash memory. The data processing device 2 includes a data storage unit 8 and a data processing unit 10. The data storage unit 8 is implemented using a portion of the storage area of ​​the information storage device, and the data processing unit 10 is implemented using the CPU and software executed by the CPU.

[0033] Input device 4 is a machine such as a keyboard or mouse used by the user to input information into data processing device 2. Display 6 is a device such as a liquid crystal display that displays information provided by data processing device 2.

[0034] The data processing device 2 inputs analytical data obtained by the liquid chromatography (LC) unit 100 performing liquid chromatography analysis. The analytical data obtained by the LC unit 100 includes multiple analytical data obtained by analyzing the same sample under multiple different analytical conditions. In the data processing device 2, the data processing unit 10 generates multiple chromatograms based on the multiple analytical data from the LC unit 100, and a summary of information related to the component peaks on each chromatogram (hereinafter referred to as a peak table), and stores this data as a dataset in the data storage unit 8. The information related to the component peaks on each chromatogram includes peak area, peak height, peak area ratio, and peak height ratio. The peak area ratio refers to the proportion of the peak area of ​​the target component peak to the total area of ​​all component peaks appearing on the same chromatogram. The peak height ratio refers to the proportion of the peak height of the target component peak to the total height of all component peaks appearing on the same chromatogram. Furthermore, when the LC unit 100 includes a device such as a UV detector for measuring the spectrum of the dissolution from the separation column as an auxiliary detector, the analytical data includes spectral information for each holding time. In this case, the spectral information can be included in information related to the component peaks on each chromatogram. Additionally, when the LC unit 100 includes a mass spectrometer as an auxiliary detector, the information related to the component peaks on each chromatogram can include the mass spectrum and m / z (the value of the horizontal axis of the mass spectrum).

[0035] The data processing unit 10 is configured to perform both automatic identification processing and manual identification processing by the user. Identification processing involves establishing correspondences between component peaks appearing in multiple chromatograms obtained from analyzing the same sample under various analytical conditions. Automatic and manual identification are performed by the user inputting execution instructions for each mode via the input device 4.

[0036] use Figure 1 and Figure 2 The flowchart illustrates an example of an action in automatic identification.

[0037] After the user selects a dataset to be processed for identification and inputs an automatic identification execution instruction into the data processing unit 2, the data processing unit 10 displays a setting screen for automatic identification on the display 6, allowing the user to select the peak parameters used for automatic identification (step 101). An example of the setting screen... Figure 3 As shown. In Figure 3The illustrated settings screen displays peak number, area (peak area), height (peak height), area % (peak area percentage), and height % (peak height percentage) as peak parameters, and also shows the filtering conditions implemented using these parameters. Users can set the peak parameters used for automatic identification by checking boxes in the selection bar for any peak parameter. Furthermore, the peak numbers are labeled according to the order of dissolution from fastest to slowest on the same chromatogram from the separation column. Additionally, when the information related to the component peaks on each chromatogram includes spectral information, mass spectra, and m / z (the value of the horizontal axis of the mass spectra), the similarity of the spectra, the similarity of the mass spectra, and the m / z of the base peak can be set as peak parameters.

[0038] After determining the peak parameters used for automatic identification, a chromatogram (i.e., a reference chromatogram) is selected as the benchmark for automatic identification based on user input or automatic selection (step 102). After selecting the reference chromatogram, all component peaks on the reference chromatogram become reference peaks.

[0039] The data processing unit 10 identifies a target chromatogram (i.e., a chromatogram) from the chromatograms other than the reference chromatogram within the same dataset (step 103). Furthermore, the order in which the chromatograms are identified as target chromatograms can be arbitrary. For example, when each chromatogram is labeled with an identity document (ID) number, the target chromatograms can be identified in ascending order of the ID numbers.

[0040] After identifying the target chromatogram, the data processing unit 10 identifies a reference peak as the target for identification (step 104), and performs filtering of component peaks on the target chromatogram using the peak parameters (=reference parameters) of the reference peak (step 105). During filtering, component peaks on the target chromatogram having peak parameters whose difference from the reference parameters is within the range specified by the filtering conditions (e.g., ±10%) are identified as candidates for component peaks corresponding to the reference peak (step 106: Yes). At this time, if no component peak is found to be a candidate, the identification of the reference peak in the target chromatogram is not performed, and the process proceeds to the identification of the next reference peak (step 106: No, step 110).

[0041] The filtering result is that, in the case where there are multiple candidate component peaks corresponding to the reference peak (step 107: Yes), the multiple candidate component peaks are sorted according to the similarity of each peak parameter to the reference peak, that is, the component peaks are sorted from smallest to largest according to the difference between each component peak and the reference parameter (step 108), and the component peak with the highest ranking is identified as the component peak corresponding to the reference peak (step 109). In addition, in the case where there are multiple component peaks with the highest ranking, the component peak with the highest peak dissolution ranking (i.e., the smaller peak number) can be identified as the component peak corresponding to the reference peak. Alternatively, the component peak with the smaller difference from the reference peak can also be identified as the specific component.

[0042] Perform steps 104 to 109 until the identification and processing of all reference peaks in all chromatograms are completed (steps 110 and 111).

[0043] Next, use Figure 1 and Figure 4 The flowchart illustrates an example of an action in manual identification.

[0044] Manual identification can be performed after the automatic identification process described above, or it can be performed independently of the automatic identification process. When manual identification is performed after automatic identification, the dataset to be identified has already been selected. Conversely, when automatic identification has not yet been performed, the user selects the dataset to be identified.

[0045] Regardless of whether automatic identification is performed, the data processing unit 10 will combine the multiple analytical data included in the dataset to be identified with each chromatogram. Figure 1 A summary display is shown on display 6 (step 201). For example, a summary display of analytical data and chromatograms is shown on screen 6. Figure 5 As shown. In Figure 5 The illustrated screen displays multiple chromatograms and their corresponding peak tables (a summary of the parameters of the component peaks on each chromatogram) arranged vertically according to the analytical conditions. Users can view multiple chromatograms or information related to the component peaks on these chromatograms on the same screen, thus easily understanding the changes in the retention time of compounds caused by differences in analytical conditions.

[0046] In a state where the data processing unit 10 displays multiple chromatograms and a peak table for each chromatogram, the user selects a chromatogram as the reference chromatogram (step 202). All component peaks on the reference chromatogram specified by the user become reference peaks. Furthermore, when performing manual identification after automatic identification, since the reference chromatogram has already been specified during the automatic identification process, step 202 can be omitted.

[0047] The data processing unit 10 then displays multiple chromatograms and peak tables of each chromatogram on the display 6, allowing the user to select a reference peak as the target for identification (step 203). The selection of the reference peak can be made either on the chromatogram or on the peak table. The data processing unit 10 then allows the user to specify one or more component peaks corresponding to the reference peak from the component peaks displayed on the multiple chromatograms or from the peak tables of each chromatogram, and specifies each component peak specified by the user as the component peak corresponding to the reference peak (steps 204 and 205). The user can perform the operation of specifying multiple component peaks corresponding to the same reference peak from the component peaks on multiple chromatograms continuously or at one time. Steps 203 to 205 (step 206) can be performed sequentially on all reference peaks arbitrarily selected by the user.

[0048] Here, the data processing unit 10 is configured to display, in a user-visible manner, component peaks that have established correspondences through automatic or manual identification on a chromatogram overview screen. For example, it may display the peaks in a way that, after a user selects a component peak on a chromatogram, all component peaks on other chromatograms corresponding to that peak are highlighted, allowing the user to easily identify the correspondences between the component peaks. Figure 5 In the example shown in the screen, three component peaks are outlined with dashed lines on different chromatograms, making it easy for users to identify the correspondence between these three component peaks.

[0049] Next, use Figure 1 and Figure 6 The flowchart illustrates an example of a method for exploring the optimal analytical conditions for a sample using the aforementioned automated and manual identification techniques.

[0050] First, the sample for which the analytical conditions have been determined using the LC unit 100 is analyzed under multiple different analytical conditions (step 301). The multiple analytical data obtained through these analyses are then imported into the data processing device 2 of the data processing system 1 (step 302). In the data processing device 2, multiple chromatograms or peak tables of the analytical data obtained through each analysis are generated, and these data form a dataset.

[0051] Next, in order to establish correspondences between component peaks on multiple chromatograms included in a dataset, automatic identification is performed (step 303). In automatic identification using filtering with specific peak parameters, there are cases where the identification of component peaks required for determining analytical conditions is incomplete. Therefore, after performing automatic identification, the user observes the results to confirm whether the identification of component peaks required for determining analytical conditions has been completed (step 304). If the identification process is incomplete, manual identification is performed (step 305).

[0052] After completing the identification process that combines manual identification with automatic identification as needed, the user determines the analytical conditions that are considered optimal for the sample based on the identification results (step 306).

[0053] Furthermore, the embodiments described above are merely examples illustrating implementations of the data processing system of the present invention. Implementations of the data processing system of the present invention are as follows.

[0054] In a first embodiment of the data processing system of the present invention, the system includes: a data storage unit storing a plurality of chromatograms, the plurality of chromatograms being obtained by performing chromatographic analysis on the same sample under a plurality of different analytical conditions; and a data processing unit performing data processing on the plurality of chromatograms stored in the data storage unit. The data processing unit is capable of performing automatic identification processing, wherein the identification processing involves setting one of the chromatograms stored in the data storage unit as a reference chromatogram, setting multiple component peaks on the reference chromatogram as reference peaks, and identifying which component peaks on other chromatograms besides the reference chromatogram correspond to the multiple reference peaks respectively. The data processing unit is configured such that, in the automatic identification, each peak parameter of the plurality of reference peaks is set as a reference parameter, and the reference parameters are used to filter the peak parameters of the component peaks on the other chromatograms, thereby identifying the component peaks corresponding to the plurality of reference peaks respectively.

[0055] In the first embodiment of the first form, the peak parameter used for filtration is at least one parameter selected from peak dissolution ranking, peak area, peak height, peak area ratio, peak height ratio, spectral similarity, mass spectrometry similarity, and the m / z of the base peak of the mass spectrometry.

[0056] In the second embodiment of the first embodiment, the data processing unit is configured such that, during the filtering performed on each of the reference peaks, component peaks having peak parameters whose differences between each reference peak and the reference parameter are within a predetermined range are designated as candidates for component peaks corresponding to each reference peak. The second embodiment can be combined with the first embodiment.

[0057] Here, there may be multiple component peaks with similar peak areas and other parameters existing on the same chromatogram. In this case, multiple component peaks meet the filtering conditions only when using parameters such as peak area, making it impossible to narrow down the component peak corresponding to the reference peak being identified to a single peak. Therefore, in the second embodiment, the data processing unit can be configured such that, when multiple component peaks on the same chromatogram are set as candidates for component peaks corresponding to the same reference peak, one of the multiple component peaks is set as the candidate using peak dissolution ranking. Alternatively, the data processing unit can be configured such that, when multiple component peaks on the same chromatogram are set as candidates for component peaks corresponding to the same reference peak, the component peak with the smaller difference between the reference peak and the reference parameter is set as the candidate. Through these embodiments, it is possible to narrow down the component peak corresponding to the reference peak being identified to a single peak.

[0058] In the third embodiment of the first embodiment, the data processing unit is configured such that a user selects a chromatogram from the plurality of chromatograms to be selected as the reference chromatogram, and the chromatogram selected by the user is set as the reference chromatogram. Furthermore, the purpose of the identification process is to identify the correspondence between component peaks among the plurality of chromatograms; therefore, in principle, any chromatogram among the plurality of chromatograms can serve as a reference. However, depending on the analytical conditions, there may be cases where multiple component peaks overlap, making it unsuitable to set such a chromatogram as a reference. Therefore, it is preferable that the user can select a chromatogram to serve as the reference for identification. This third embodiment can be combined with the first embodiment and / or the second embodiment.

[0059] In the fourth embodiment of the first embodiment, the data processing unit is also capable of performing manual identification for the user to manually perform the identification process. The data processing unit is configured such that, in the manual identification, the user identifies the reference peak as the target for identification from the reference peaks, and while displaying a list of multiple other chromatograms, the user identifies the component peak corresponding to the reference peak as the target for identification. With this configuration, even in cases where there are component peaks that cannot be identified automatically using filtering with peak parameters, the user can manually identify these component peaks. This fourth configuration can be freely combined with the first, second, and / or third configurations.

[0060] In the fourth embodiment, the data processing unit is preferably configured such that, during manual identification, while displaying a list of the other chromatograms, the user can perform the operation of continuously or simultaneously identifying multiple component peaks corresponding to the reference peak being identified. This improves the efficiency of component peak identification processing.

[0061] Furthermore, in the fourth form, the data processing unit is configured such that, after performing the automatic identification, it can perform the manual identification.

[0062] In the fifth embodiment of the first embodiment, the data processing unit is configured to display the commonalities among the component peaks that have established correspondences through the identification process, in a manner that allows the user to see the correspondence between the component peaks in the plurality of chromatograms. This configuration makes it easy to identify component peaks on different chromatograms that have established correspondences through the identification process, and to easily grasp changes in component peaks caused by differences in analytical conditions. The fifth configuration can be freely combined with the first, second, third, and / or fourth configurations.

[0063] In a second embodiment of the data processing system of the present invention, the system includes: a data storage unit storing multiple chromatograms obtained by performing chromatographic analysis on the same sample under multiple different analytical conditions; and a data processing unit performing data processing on the multiple chromatograms stored in the data storage unit. The data processing unit is capable of performing manual identification processing for manual identification by a user. The identification processing involves setting one chromatogram selected from the multiple chromatograms stored in the data storage unit as a reference chromatogram, setting multiple component peaks on the reference chromatogram as reference peaks, and identifying which component peaks on multiple other chromatograms (excluding the reference chromatogram) correspond to the multiple reference peaks. The data processing unit is configured such that the user can perform the following operations continuously or at one time: in the manual identification, the user identifies the reference peak as the object of identification from the reference peaks; and in a state where the multiple other chromatograms are displayed in a list, the user identifies multiple component peaks corresponding to the reference peak as the object of identification.

[0064] In the second embodiment, the data processing unit is preferably configured to display the commonalities among the component peaks that have established correspondences with each other in a manner that makes the correspondence between the component peaks visible to the user. This allows for easy identification of component peaks on different chromatograms that have established correspondences through identification processing, and facilitates understanding of changes in component peaks caused by differences in analytical conditions.

Claims

1. A data processing system for chromatography, characterized in that, include: The data storage unit stores multiple chromatograms, which are obtained by performing chromatographic analysis on the same sample under multiple different analytical conditions; as well as The data processing unit processes the multiple chromatograms stored in the data storage unit. The data processing unit is capable of performing automatic identification processing, which involves setting one of the plurality of chromatograms stored in the data storage unit as a reference chromatogram, setting multiple component peaks on the reference chromatogram as multiple reference peaks, and identifying which component peaks from other chromatograms besides the reference chromatogram correspond to each of the multiple reference peaks. The data processing unit is configured such that, in the automatic identification, each peak parameter of the plurality of reference peaks is set as a reference parameter, and the reference parameters are used to filter the peak parameters of the component peaks on the other chromatograms, thereby identifying the component peaks corresponding to the plurality of reference peaks respectively.

2. The data processing system for chromatography according to claim 1, characterized in that, The peak parameters used in the filtration are selected from at least one of the following: peak dissolution ranking, peak area, peak height, peak area ratio, peak height ratio, spectral similarity, mass spectrometry similarity, and the m / z of the base peak of the mass spectrometry.

3. The data processing system for chromatography according to claim 1 or 2, characterized in that, The data processing unit is configured such that, in the filtering performed on each of the plurality of reference peaks, a component peak having a peak parameter whose difference between each reference peak and the reference parameter is within a specified range is set as a candidate component peak corresponding to each reference peak.

4. The data processing system for chromatography according to claim 3, characterized in that, The data processing unit is configured such that, when multiple component peaks on the same chromatogram are set as candidates for component peaks corresponding to the same reference peak, the component peak with the smaller difference between the reference peak and the reference parameter is set as the candidate.

5. The data processing system for chromatography according to claim 3, characterized in that, The data processing unit is configured such that when multiple component peaks on the same chromatogram are set as candidates for component peaks corresponding to the same reference peak, peak dissolution ranking is used to set one of the multiple component peaks as the candidate.

6. The data processing system for chromatography according to claim 1 or 2, characterized in that, The data processing unit is configured such that a user selects a chromatogram from the plurality of chromatograms to be selected as the reference chromatogram, and sets the chromatogram selected by the user as the reference chromatogram.

7. The data processing system for chromatography according to claim 1 or 2, characterized in that, The data processing unit can also perform manual authentication, which is performed manually by the user. When the plurality of chromatograms includes a plurality of other chromatograms that are different from the reference chromatogram, the data processing unit is configured such that, in the manual identification, the user identifies the reference peak as the object of identification from the reference peak, and the user selects the component peak corresponding to the reference peak as the object of identification while the plurality of other chromatograms are displayed in a list.

8. The data processing system for chromatography according to claim 7, characterized in that, The data processing unit is configured such that, during the manual identification, while displaying the plurality of other chromatograms in a single view, the user can perform an operation to continuously or simultaneously identify multiple component peaks corresponding to the reference peak being identified.

9. The data processing system for chromatography according to claim 7, characterized in that, The data processing unit is configured such that, after performing the automatic identification, it is capable of performing the manual identification.

10. The data processing system for chromatography according to claim 1 or 2, characterized in that, The data processing unit is configured to display the common components that have established a correspondence between the component peaks through the identification process, in a manner that allows the user to see the correspondence between the component peaks in the multiple chromatograms.

11. A data processing system for chromatography, characterized in that, include: The data storage unit stores multiple chromatograms, which are obtained by performing chromatographic analysis on the same sample under multiple different analytical conditions; as well as The data processing unit processes the multiple chromatograms stored in the data storage unit. The data processing unit is capable of performing manual identification processes for user-initiated identification. These processes involve setting one chromatogram from a plurality of chromatograms stored in the data storage unit as a reference chromatogram, setting multiple component peaks on the reference chromatogram as multiple reference peaks, and identifying which component peak from among multiple other chromatograms (excluding the reference chromatogram) corresponds to each of the multiple reference peaks. The data processing unit is configured such that the user can perform the following operations continuously or at one time: in the manual identification, the user identifies the reference peak as the object of identification from the multiple reference peaks, and in a state where the multiple other chromatograms are displayed in a list, identifies multiple component peaks corresponding to the reference peak as the object of identification.

12. The data processing system for chromatography according to claim 11, characterized in that, The data processing unit is configured to display the common components that establish a correspondence between the component peaks in the multiple chromatograms in a manner that allows the user to see the correspondence between the component peaks.

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