Flow path state output device
Patent Information
- Application Number
- JP2024551500
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Filing Date
- 2025-03-24
- Publication Date
- 2025-06-05
AI Technical Summary
Existing methods struggle to detect abnormalities in the flow path of a liquid chromatograph that do not result in significant fluctuations in solvent feeding pressure, which can affect analysis results.
A flow path state output device that includes a feature amount acquisition unit measuring samples with known components and a status output unit displaying flow path status information, allowing for the detection of subtle abnormalities through graphical representation and comparison with normal data.
Enables the detection of flow path abnormalities such as dead volumes and piping loosening that are difficult to identify via pressure fluctuations, allowing for proactive management and prevention of analysis disruptions.
Abstract
Description
Flow path status output device
[0001] The present invention relates to a device for outputting the state of a flow path in an analytical device.
[0002] A liquid chromatograph is equipped with a liquid delivery system that delivers a solvent serving as a mobile phase at a set flow rate. The introduction of minute air bubbles into the liquid delivery system can cause fluctuations in the solvent delivery pressure. For example, in Patent Document 1 listed below, the fluctuation range of the solvent delivery pressure is calculated, and if the fluctuation range exceeds a reference value, a liquid delivery failure is detected.
[0003] International Publication No. 2020 / 183774
[0004] In cases where air bubbles are mixed into the liquid delivery system, the liquid delivery pressure fluctuates suddenly, and by obtaining the fluctuation range as described above, it is possible to detect a liquid delivery failure. However, even if the change in liquid delivery pressure is not that large, some kind of abnormality that affects the analysis results may occur in the flow path within the liquid chromatograph. It is difficult to detect such an abnormality using the above method of obtaining the fluctuation range of the liquid delivery pressure.
[0005] An object of the present invention is to grasp the flow path state of an analyzer, which is difficult to detect from fluctuations in liquid delivery pressure.
[0006] A flow path status output device according to one aspect of the present invention includes a feature acquisition unit that measures a sample containing known components using an analytical device and acquires feature values from the measurement results, and a status output unit that outputs information indicating the flow path status of the analytical device to a display device based on the feature values.
[0007] According to the present invention, it is possible to grasp the flow path state of an analyzer, which is difficult to detect from fluctuations in liquid delivery pressure.
[0008] 1 is a configuration diagram of a computer (flow path state output device) according to the present embodiment; FIG. 2 is a diagram showing the functional configuration of the computer (flow path state output device); FIG. 3 is a diagram showing the configuration of a dedicated flow path for flow path state acquisition provided in a liquid chromatograph; FIG. 4 is a flowchart showing a method for acquiring and outputting a state and a flow path state; FIG. 5 is a diagram showing flow path state information displayed on a display; FIG. 6 is a diagram showing flow path state information displayed on a display; FIG. 7 is a diagram showing flow path state information displayed on a display; FIG. 8 is a diagram showing flow path state information according to a modified example displayed on a display; FIG. 9 is a diagram showing flow path state information according to a modified example displayed on a display; FIG. 10 is a diagram showing flow path state information according to a modified example displayed on a display;
[0009] Next, a flow path state output device according to an embodiment of the present invention will be described with reference to the accompanying drawings.
[0010] 1 is a block diagram of a computer 1, which is a flow path state output device according to this embodiment. The computer 1 is connected to a liquid chromatograph 3 via a network 4, such as a LAN (Local Area Network).
[0011] The computer 1 has functions such as setting analysis conditions for the liquid chromatograph 3, and acquiring and analyzing measurement results from the liquid chromatograph 3. A program for controlling the liquid chromatograph 3 is installed in the computer 1.
[0012] The liquid chromatograph 3 includes a pump unit, an autosampler unit, a column oven unit (including a column unit), a detector unit, etc. The liquid chromatograph 3 also includes a system controller. The system controller controls the liquid chromatograph 3 in accordance with control instructions received from the computer 1 via the network 4. The system controller transmits data on the measurement results of the liquid chromatograph 3 to the computer 1 via the network 4.
[0013] (2) Configuration of Computer (Channel State Output Device) In this embodiment, a personal computer is used as the computer 1. As shown in Fig. 1 , the computer 1 includes a CPU (Central Processing Unit) 101, a RAM (Random Access Memory) 102, a ROM (Read Only Memory) 103, a display 104, an operation unit 105, a storage device 106, a communication interface 107, and a device interface 108.
[0014] The CPU 101 controls the computer 1. The RAM 102 is used as a work area when the CPU 101 executes a program. The ROM 103 stores control programs and the like. The display 104 is, for example, a liquid crystal display. The operation unit 105 is a device that accepts user operations and includes a keyboard, a mouse, and the like. The display 104 may be configured as a touch panel display and may also function as the operation unit 105. The display 104 is an example of a display device of the present invention. The storage device 106 is a device that stores various programs and data. The storage device 106 is, for example, a hard disk. The communication interface 107 is an interface that communicates with other computers and devices. The communication interface 107 is connected to the network 4. The device interface 108 is an interface that accesses various external devices. The CPU 101 can access the storage medium 109 via an external device connected to the device interface 108.
[0015] The storage device 106 stores an analysis support program P1, analysis condition data AP, dedicated analysis condition data DAP, measurement data MD, normal measurement data CMD, feature amounts FD, and normal feature amounts CFD. The analysis support program P1 is a program for controlling the liquid chromatograph 3. The analysis support program P1 has functions such as setting analysis conditions for the liquid chromatograph 3, acquiring measurement results from the liquid chromatograph 3, and analyzing the measurement results.
[0016] The analytical condition data AP is data describing an analytical method (analysis conditions) to be set in the liquid chromatograph 3, and includes multiple analytical parameters. The dedicated analytical condition data DAP is data describing a dedicated analytical method for acquiring the flow path state of the liquid chromatograph 3. The measurement data MD is data of measurement results acquired from the liquid chromatograph 3. The normal measurement data CMD is data of measurement results acquired when the liquid chromatograph 3 is operating normally, among the measurement data MD. The feature amount FD is data indicating the characteristics of the measurement results calculated from the measurement data MD. The feature amount FD is data indicating measurement quality, such as retention time and tailing amount. The normal feature amount CFD is data indicating the characteristics of the measurement results calculated from the normal measurement data CMD. In other words, the normal feature amount CFD is data indicating the feature amount of the measurement results acquired when the liquid chromatograph 3 is operating normally.
[0017] 2 is a functional block diagram of the computer 1. The control unit 200 is a functional unit realized when the CPU 101 uses the RAM 102 as a work area and executes the analysis support program P1. The control unit 200 includes an analysis management unit 201, a feature acquisition unit 202, and a status output unit 203.
[0018] The analysis control unit 201 controls the liquid chromatograph 3. Upon receiving a user instruction to set analysis condition data AP and to start analysis processing, the analysis control unit 201 instructs the liquid chromatograph 3 to perform analysis processing. The analysis control unit 201 also acquires measurement data MD from the liquid chromatograph 3.
[0019] The feature amount acquisition unit 202 calculates feature amounts FD based on measurement data MD indicating the measurement results in the liquid chromatograph 3. The feature amount acquisition unit 202 calculates retention time, tailing time, etc. as feature amounts FD. Furthermore, the feature amount acquisition unit 202 calculates normal feature amounts CFD based on normal measurement data CMD.
[0020] Based on the feature quantity FD, the status output unit 203 displays information indicating the status of the flow paths of the liquid chromatograph 3 (hereinafter referred to as "flow path status information") on the display 104. In the present invention, the "flow path status" refers to the status of the flow paths connecting the units of the liquid chromatograph 3. For example, it refers to the status of the flow path connecting the pump unit and autosampler unit, the status of the flow path within the pump unit or autosampler unit, the status of the flow path connecting the autosampler unit and column unit, the status of the flow path connecting the column unit and detector unit, etc.
[0021] (3) Configuration of Liquid Chromatograph 3 for Acquiring Flow Path State Fig. 3 is a diagram showing the configuration of a dedicated flow path for acquiring the flow path state provided in the liquid chromatograph 3. The liquid chromatograph 3 includes a resistance tube 32 that is switchably connected to a column 31 that separates a sample. By controlling the switching of a switching valve 33, the solvent (mobile phase) supplied from the autosampler is sent selectively to either the column 31 or the resistance tube 32. The solvent that has flowed through the column 31 or the resistance tube 32 is supplied to a detector provided in the liquid chromatograph 3.
[0022] In this embodiment, when the flow path state of the liquid chromatograph 3 is acquired, the switching valve 33 is switched so that the solvent supplied from the autosampler flows into the resistance tube 32. This prevents the solvent from flowing through the column 31 when acquiring the flow path state, and makes it possible to acquire the flow path state while eliminating the influence of deterioration of the column 31, etc.
[0023] (4) Method for Acquiring and Outputting Pathway Status Next, a method for acquiring and outputting a pathway status executed by the computer 1 according to this embodiment will be described. FIG. 4 is a flowchart illustrating the method for acquiring and outputting a pathway status according to this embodiment. In step S1, the analysis control unit 201 reads the dedicated analysis condition data DAP from the storage device 106 and sets the dedicated analysis condition data DAP in the liquid chromatograph 3. Specifically, the analysis control unit 201 sets the dedicated analysis condition data DAP in the system controller of the liquid chromatograph 3. The liquid chromatograph 3 then executes an analysis process based on the set dedicated analysis condition data DAP. In this embodiment, the dedicated analysis condition data DAP specifies a standard sample, such as caffeine, as the sample, and the standard sample is used in the analysis process for acquiring the status. In other words, a sample containing known components is used in the analysis process for acquiring the status. Furthermore, when executing an analysis process based on the dedicated analysis condition data DAP, the switching valve 33 shown in FIG. 3 is automatically switched, and a resistance tube 32 is installed in the liquid chromatograph 3 instead of the column 31.
[0024] Next, in step S2, the analysis management unit 201 acquires measurement data MD from the liquid chromatograph 3. The analysis management unit 201 stores the acquired measurement data MD in the storage device 106. The measurement data MD is a measurement result obtained based on the dedicated analysis condition data DAP. The measurement data MD is multidimensional data acquired by a multidimensional detector provided in the liquid chromatograph 3. Here, the measurement data MD is three-dimensional data having elements in the retention time direction, the spectrum direction (frequency direction), and the intensity direction. For example, the measurement data MD is data acquired by a liquid chromatograph 3 equipped with a PDA detector (photodiode array detector).
[0025] Furthermore, prior to the process of acquiring the flow path state based on the flowchart of Figure 4, normal measurement data CMD is acquired. Specifically, when the liquid chromatograph 3 is operating normally, steps S1 and S2 are executed, and the normal measurement data CMD is acquired. For example, the normal measurement data CMD is acquired in an initial state, such as immediately after the liquid chromatograph 3 is installed. The normal measurement data CMD is stored in the storage device 106.
[0026] Next, in step S3, the feature acquisition unit 202 reads the measurement data MD stored in the storage device 106 and calculates the feature values FD from the measurement data MD. The feature acquisition unit 202 stores the calculated feature values FD in the storage device 106. The feature values FD are, for example, retention time, tailing time, or peak height.
[0027] 4, the normal feature amount CFD is calculated based on the normal measurement data CMD by the feature amount acquisition unit 202. The normal feature amount CFD is stored in the storage device 106.
[0028] In order to accurately grasp the flow path condition, the measurement data MD and normal measurement data CMD are each obtained by multiple analysis processes. For example, the dedicated analysis condition data DAP is written so that the analysis process is repeated multiple times based on the same analysis method. Then, multiple feature quantities FD and normal feature quantities CFD are calculated based on the multiple measurement data MD and normal measurement data CMD.
[0029] Next, in step S4, the state output unit 203 generates flow path state information for the liquid chromatograph 3 based on the feature amount FD. The flow path state information is, for example, a graph of the feature amount FD. Alternatively, the flow path state information is a determination result of the flow path state.
[0030] Next, in step S5, the state output unit 203 outputs the channel state information created in step S4 to the display 104.
[0031] (5) Flow Path State Information Next, we will explain the flow path state information that is created by the state output unit 203 (step S4 above) and displayed on the display 104 (step S5 above). Figures 5 to 8 are diagrams showing examples of flow path state information.
[0032] 5 to 8 are graphs showing the relationship between two feature quantities, retention time and tailing amount, as flow path condition information. In FIGS. 5 to 8, the horizontal axis represents retention time (seconds) and the vertical axis represents tailing amount. The tailing amount is a relative value when the peak width in the absence of tailing is set to 1. In FIGS. 5 to 8, open square symbols represent points plotted for the normal feature quantity CFD. In FIG. 5, open circle symbols represent points plotted for the feature quantity FD obtained in the condition acquisition process. Note that in FIGS. 5 to 8, multiple symbols are displayed for both the normal feature quantity CFD and the feature quantity FD, but as described above, these are the results of multiple analysis processes performed based on the dedicated analysis condition data DAP.
[0033] In Figures 5 to 8, area A1 indicates the range of feature quantities in a normal state. Area A2 indicates the range of feature quantities in which it is expected that a dead volume will be formed. Area A3 indicates the range of feature quantities in which it is expected that loose piping will occur. In this example, curved frames indicating areas A1 to A3 are displayed as flow path status information to make it easier for the user to understand the flow path status. However, the frames indicating areas A1 to A3 do not have to be displayed. Furthermore, captions such as "normal," "dead volume," and "loose piping" are displayed near areas A1 to A3 as flow path status information to make it easier for the user to understand the flow path status. However, these captions do not have to be displayed.
[0034] In the example of FIG. 5 , the feature value FD is distributed in region A2. In other words, the feature value FD is distributed in a region with a large tailing amount. By presenting this flow path state information, the user can grasp the possibility that a dead volume has formed in the flow path of the liquid chromatograph 3. For example, even if the solvent delivery pressure is measured, it is difficult to detect the state in which a dead volume has formed in any of the pipes that make up the liquid chromatograph 3. However, as shown in FIG. 5 , by presenting a graph of the feature value FD, it is possible to suggest to the user the possibility that a dead volume has formed.
[0035] In Figure 6, the open triangle symbols represent plot points of the feature FD obtained in the status acquisition process. In the example of Figure 6, the feature FD is also distributed in region A2. In other words, the feature FD is distributed in a region with a large amount of tailing. By presenting this flow path status information, the user can grasp the possibility that a dead volume has formed in the flow path of the liquid chromatograph 3. However, compared to Figure 5, the amount of tailing of the feature FD is smaller. Therefore, the user can grasp the possibility of dead volume formation at a relatively early stage.
[0036] 7, the black circle symbols represent plots of the feature values FD obtained in the status acquisition process. In the example of FIG. 7, the feature values FD are distributed in region A3. In other words, the feature values FD are distributed in a region with long retention times. By presenting this flow path status information, the user can grasp the possibility that a slight loosening has occurred in the piping of the flow path of the liquid chromatograph 3.
[0037] In Figure 8, the black triangle symbols are points on which the feature value FD obtained in the status acquisition process is plotted. In the example of Figure 8, the feature value FD is also distributed in region A3. In other words, the feature value FD is distributed in a region with long retention times. By presenting this flow path status information, the user can grasp the possibility that a slight loosening of the piping has occurred in the flow path of the liquid chromatograph 3. Furthermore, compared to Figure 7, the retention time of the feature value FD is even longer. Therefore, the user can grasp the high possibility of loosening of the piping.
[0038] As described above, the computer 1 (flow path status output device) of this embodiment can grasp the flow path status of the liquid chromatograph 3, which is difficult to detect from fluctuations in the liquid delivery pressure. For example, a slight loosening of the piping causes a small pressure drop that is difficult to detect, but in the examples shown in FIGS. 7 and 8, this can be grasped as a delay in retention time. Furthermore, the formation of a dead volume in the piping cannot be confirmed as a change in the liquid delivery pressure, but in the examples shown in FIGS. 5 and 6, this can be grasped as an increase in the amount of tailing. According to this embodiment, it is possible to grasp the flow path status that cannot be detected from pressure fluctuations, and therefore it is possible to manage the status of the liquid chromatograph 3 before an abnormality occurs that would significantly affect the analysis results.
[0039] (6) Modified Examples of Pathway Status Information Figure 9 shows a modified example of the pathway status information. Multiple (e.g., six) analytical processes are performed based on the dedicated analysis condition data DAP to obtain multiple measurement data MD. Then, from these multiple measurement data MD, the retention time, peak area, theoretical plate number, tailing value, and pump pressure are calculated, and feature quantities such as their mean, variance, and conversion rate are calculated. These feature quantities are then subjected to principal component analysis. Figure 9 shows the results of principal component analysis of the feature quantities. In the figure, the horizontal axis represents the first principal component, and the vertical axis represents the second principal component. In the figure, open circles indicate the possibility of an autosampler suction failure. Furthermore, black circles indicate the possibility of air bubbles in the light-line feed. Both air bubbles in the light-line feed and poor autosampler suction result in significantly smaller peak areas, making it difficult to identify the cause simply by observing the peak areas. However, by presenting the pathway status information shown in Figure 9, the user can determine the cause of the abnormality.
[0040] FIG. 10 shows another modified example of the flow path status information. In the above embodiment, the resistance tube 32 was used when performing the analysis process to acquire the flow path status. This eliminates the influence of the column 31 and allows the flow path status to be acquired. As another example, a sealed pipe may be used to acquire the flow path status. FIG. 10 is a graph showing the transition of pump pressure using a sealed pipe. The horizontal axis of the graph represents time (minutes), and the vertical axis represents pump pressure (MPa). As the pump deteriorates, the time required to reach a specific pressure increases. This allows the user to understand the flow path status. In this example, a sealed pipe is used as a dedicated component for acquiring the flow path status. However, as another example, a drain flow path may be used to acquire feature quantities.
[0041] 11 and 12 show another variation of the flow path status information. In FIGS. 11 and 12, the horizontal axis represents retention time, and the vertical axis represents peak area. For example, if the sample injection amount fluctuates during the analysis process, the retention time and peak area change simultaneously. FIG. 11 shows an example of flow path status information when the sample injection amount fluctuates. In contrast, if improper sample dilution occurs, only the peak area changes. FIG. 12 shows an example of flow path status information when improper sample dilution occurs. This allows the user to understand the possibility of a change in the sample injection amount or improper sample dilution occurring as a flow path status. The flow path status information shown in FIGS. 11 and 12 is effective when acquiring the flow path status using an actual sample rather than a standard sample such as caffeine.
[0042] (7) Other Modification 1 In the examples of the flow path status information shown in FIGS. 5 to 8 , a graph comparing the feature value FD with the normal feature value CFD is displayed. However, displaying the normal feature value CFD is not essential, and only the feature value FD may be displayed as a graph. Alternatively, the flow path status determination result based on the feature value FD may be included in the flow path status information. The status output unit 203 may output the determination result by comparing the feature value FD with a predetermined threshold. Alternatively, the status output unit 203 may output the determination result by comparing the feature value FD with the normal feature value CFD. For example, in FIGS. 5 and 6 , a message such as “Dead volume may have formed” may be displayed as the determination result along with the graph showing the feature value FD. Furthermore, in FIGS. 7 and 8 , a message such as “Pipe loosening may exist” may be displayed as the determination result. If the feature value FD is within the normal range, a message indicating “normal” may be displayed. Alternatively, only the determination result may be displayed without displaying a graph.
[0043] (8) Other Modification 2 The analysis results obtained by the liquid chromatograph 3 may vary from day to day due to environmental differences such as temperature and humidity on the day the analysis is performed. Therefore, two types of dedicated analysis condition data DAP may be prepared, and the flow path state may be presented or determined based on the ratio of two feature quantities FD obtained from the two types of measurement results. Furthermore, two normal feature quantities CFD may be obtained based on two types of dedicated analysis condition data DAP, and the ratio of the two normal feature quantities CFD may be used for comparison. Three or more types of dedicated analysis condition data DAP may be used to calculate multiple feature quantities FD, and their ratios may be used.
[0044] (9) Other Embodiments In the above embodiment, the liquid chromatograph 3 has been described as an example of the analytical device of the present invention. The present invention can also be applied to a gas chromatograph. Furthermore, in the above embodiment, the computer 1, which is the flow path state output device of the present embodiment, has been described as being connected to the liquid chromatograph 3, which is the analytical device, via the network 4. In another embodiment, the computer 1 may be configured to be built into the analytical device.
[0045] In the above embodiment, the analysis support program P1 is stored in the storage device 106. In another embodiment, the analysis support program P1 may be provided in a state stored in the storage medium 109. The CPU 101 may access the storage medium 109 via the device interface 108 and store the analysis support program P1 stored in the storage medium 109 in the storage device 106 or the ROM 103. Alternatively, the CPU 101 may access the storage medium 109 via the device interface 108 and execute the analysis support program P1 stored in the storage medium 109. Alternatively, if the analysis support program P1 is stored in a server on a network, the CPU 101 may download the analysis support program P1 via the communication interface 107.
[0046] (10) Aspects It will be understood by those skilled in the art that the exemplary embodiments described above are specific examples of the following aspects.
[0047] (Item 1) A flow path status output device according to one embodiment includes: a feature acquisition unit that measures a sample containing known components using an analytical device and acquires feature values from the measurement results; and a status output unit that outputs information indicating the flow path status of the analytical device to a display device based on the feature values.
[0048] It is possible to grasp the flow path condition of an analytical device, which is difficult to detect from fluctuations in liquid delivery pressure.
[0049] (2) In the flow path state output device described in 1, the analyzer may include a chromatograph, and the feature amount may include a retention time and / or a tailing amount.
[0050] The flow path condition of the analyzer can be determined based on the retention time or the amount of tailing.
[0051] (Clause 3) In the flow path state output device described in clause 2, the chromatograph has a pump unit, an autosampler unit, a column oven unit, and a detector unit, and the flow path state of the analytical device may be the flow path state of a flow path that fluidly connects two units out of the pump unit, the autosampler unit, the column oven unit, the detector unit, and other constituent units of the chromatograph.
[0052] It is possible to grasp the state of the flow paths between each unit provided in the chromatograph.
[0053] (4) In the channel state output device described in 1, the state output unit may output a graph showing the characteristic amount.
[0054] The flow path condition of the analytical device can be visually displayed.
[0055] (Item 5) In the flow path state output device described in Item 1, the state output unit may output a determination result of the flow path state.
[0056] The flow path status of the analytical device can be clearly displayed.
[0057] (Clause 6) In the flow path state output device described in Clause 4, the feature acquisition unit may acquire normal feature values obtained by an analysis process using the sample when the flow path state is normal, and the state output unit may output a graph comparing the feature values with the normal feature values.
[0058] The normal feature amount and the feature amount are displayed for comparison, making it easy to understand the flow path condition.
[0059] (Clause 7) In the flow path state output device described in Clause 5, the feature acquisition unit may acquire a normal feature obtained by an analysis process using the sample when the flow path state is normal, and the state output unit may output the judgment result by comparing the feature with the normal feature.
[0060] Highly reliable judgment results are output.
[0061] (Item 8) In the flow path state output device described in Item 1, the feature acquisition unit may acquire the feature by using a dedicated flow path for acquiring the flow path state instead of a column provided in the analysis device.
[0062] The influence of the column can be eliminated and the flow path state can be obtained.
[0063] (Item 9) In the flow path state output device described in Item 1, the feature amount acquisition unit may acquire the feature amount by using a dedicated analysis method for acquiring the flow path state.
[0064] By using a dedicated analysis method suitable for acquiring the flow path state, it becomes easier to understand the flow path state.
[0065] (Clause 10) In the flow path status output device described in Clause 9, the feature acquisition unit may acquire multiple feature values using multiple types of the dedicated analysis methods, and the status output unit may output the flow path status of the analysis device based on a ratio of the multiple feature values.
[0066] This eliminates day-to-day differences and allows accurate understanding of flow path conditions.
Claims
1. a feature acquisition unit that measures a sample containing a known component using a first analysis method and a second analysis method that are different from each other, and acquires a first feature and a second feature from the measurement results; a status output unit that outputs information indicating a flow path status of the analysis device based on the first feature amount and the second feature amount to a display device; A flow path state output device comprising:
2. The flow path state output device according to claim 1 , wherein the analysis device includes a chromatograph, and the first feature amount and the second feature amount include a retention time and / or an amount of tailing.
3. The chromatograph has a pump unit, an autosampler unit, a column oven unit and a detector unit; The flow path state output device of claim 2, wherein the flow path state of the analytical device is a flow path state for a flow path that fluidly connects two units among the pump unit, the autosampler unit, the column oven unit, the detector unit and other constituent units of the chromatograph.
4. The flow channel state output device according to claim 1 , wherein the state output section outputs a graph showing the first characteristic amount and the second characteristic amount.
5. The flow path state output device according to claim 1 , wherein the state output unit outputs a result of the determination of the flow path state.
6. The flow path state output device according to claim 1 , wherein the feature acquisition unit acquires the first feature and the second feature by using a dedicated flow path for acquiring the flow path state instead of a column of the analysis device.
7. The flow channel state output device according to claim 1 , wherein the feature amount acquisition unit acquires the first feature amount and the second feature amount by using a dedicated analysis method for acquiring the flow channel state.
8. A flow path state output device as described in claim 1, wherein the state output unit outputs the flow path state of the analytical device from the ratio between the first feature and the second feature.
9. The feature acquisition unit acquires a first normal feature and a second normal feature obtained by an analysis process using the first analysis method and the second analysis method when the flow path state is normal, The flow path state output device according to claim 8 , wherein the state output unit outputs the flow path state from a ratio between the first characteristic amount and the second characteristic amount, with a ratio between a first normal characteristic amount and a second normal characteristic amount being used as a comparison target.