Flow path state output device

Abstract

A computer, which is an embodiment of a flow path state output device, is connected to a liquid chromatograph and acquires the result of an analysis process performed in the liquid chromatograph. The computer includes a feature amount acquisition unit and a state output unit. The characteristic quantity acquisition unit measures a sample containing a known component by an analysis device, and acquires a characteristic quantity on the basis of the measurement result. The state output unit outputs the flow path state of the liquid chromatograph to a display on the basis of the characteristic quantity.

Description

Technical Field

[0001] The present invention relates to a device for outputting the flow path status of an analysis device. Background Art

[0002] A liquid chromatograph is equipped with a liquid delivery system that delivers a solvent that becomes a mobile phase at a set flow rate. Sometimes the liquid delivery pressure of the solvent varies due to tiny bubbles mixed into the liquid delivery system. For example, in the following patent document 1, the variation range of the liquid delivery pressure of the solvent is calculated, and when the variation range exceeds a reference value, poor liquid delivery is detected.

[0003] Patent Document 1: International Publication No. 2020 / 183774 Summary of the invention

[0004] Problem that the invention aims to solve

[0005] In the case where bubbles are mixed into the liquid delivery system, the liquid delivery pressure changes rapidly, so it is possible to detect poor liquid delivery by acquiring the fluctuation range as described above. However, there are cases where, although the change in the liquid delivery pressure is not that large, some abnormality occurs in the flow path in the liquid chromatograph that affects the analysis results. It is difficult to detect such abnormality in the above method of acquiring the fluctuation range of the liquid delivery pressure.

[0006] An object of the present invention is to grasp the flow path state of an analysis device which is difficult to detect based on the change in the fluid supply pressure.

[0007] Solutions for solving problems

[0008] A flow path state output device according to one aspect of the present invention comprises: a feature quantity acquisition unit, which measures a sample containing a known component by an analysis device and acquires a feature quantity based on the measurement result; and a state output unit, which outputs information representing the flow path state of the analysis device to a display device based on the feature quantity.

[0009] Effects of the Invention

[0010] According to the present invention, it is possible to grasp the flow path state of an analysis device which is difficult to detect based on a change in the fluid supply pressure. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a configuration diagram of a computer (flow path state output device) according to the present embodiment.

[0012] Figure 2 It is a diagram showing the functional structure of a computer (flow path state output device).

[0013] Figure 3This is a diagram showing the structure of a dedicated flow channel for acquiring the flow channel state included in the liquid chromatograph.

[0014] Figure 4 It is a flowchart showing a method of acquiring a state and acquiring and outputting a flow path state.

[0015] Figure 5 It is a diagram showing the flow path state information displayed on the display.

[0016] Figure 6 It is a diagram showing the flow path state information displayed on the display.

[0017] Figure 7 It is a diagram showing the flow path state information displayed on the display.

[0018] Figure 8 It is a diagram showing the flow path state information displayed on the display.

[0019] Fig. 9 It is a diagram showing flow path state information displayed on a display according to a modification.

[0020] Fig.10 It is a diagram showing flow path state information displayed on a display according to a modification.

[0021] Fig.11 It is a diagram showing flow path state information displayed on a display according to a modification.

[0022] Fig.12 It is a diagram showing flow path state information displayed on a display according to a modification. DETAILED DESCRIPTION

[0023] Next, a flow path state output device according to an embodiment of the present invention will be described with reference to the accompanying drawings.

[0024] (1) Analyze the overall structure of the system

[0025] Figure 1 1 is a block diagram of a computer 1 as a flow channel state output device according to the present embodiment. The computer 1 is connected to a liquid chromatograph 3 via a network 4 such as a LAN (Local Area Network).

[0026] The computer 1 has a function of setting analysis conditions for the liquid chromatograph 3 , a function of acquiring measurement results of the liquid chromatograph 3 and analyzing the measurement results, etc. A program for controlling the liquid chromatograph 3 is installed in the computer 1 .

[0027] The liquid chromatograph 3 includes a pump unit, an automatic sample injector 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 according to control instructions received from the computer 1 via the network 4. The system controller sends the data of the measurement results of the liquid chromatograph 3 to the computer 1 via the network 4.

[0028] (2) Configuration of computer (flow path status output device)

[0029] In this embodiment, a personal computer is used as the computer 1. Figure 1 As shown, 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 .

[0030] CPU 101 controls computer 1. RAM 102 is used as a work area when CPU 101 executes a program. Control programs and the like are stored in ROM 103. Display 104 is, for example, a liquid crystal display. Operation unit 105 is a device that accepts user operations, including a keyboard, a mouse, and the like. Alternatively, display 104 may be composed of a touch panel display, and display 104 has a function as operation unit 105. In addition, display 104 is an example of a display device of the present invention. Storage device 106 is a device that stores various programs and data. Storage device 106 is, for example, a hard disk. Communication interface 107 is an interface for communicating with other computers and devices. Communication interface 107 is connected to network 4. Device interface 108 is an interface for accessing various external devices. CPU 101 can access storage medium 109 via an external device connected to device interface 108.

[0031] 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 quantity FD, and normal feature quantity CFD. The analysis support program P1 is a program for controlling the liquid chromatograph 3. The analysis support program P1 has a function of setting analysis conditions for the liquid chromatograph 3, a function of acquiring measurement results from the liquid chromatograph 3 and analyzing the measurement results, and the like.

[0032] The analysis condition data AP is data describing the analysis method (analysis conditions) set for the liquid chromatograph 3, and includes a plurality of analysis parameters. The dedicated analysis condition data DAP is data describing a dedicated analysis method for obtaining the flow path state of the liquid chromatograph 3. The measurement data MD is data of the measurement result obtained from the liquid chromatograph 3. The normal measurement data CMD is data of the measurement result obtained in the measurement data MD when the liquid chromatograph 3 is operating normally. The feature quantity FD is data representing the characteristics of the measurement result obtained based on the measurement data MD. The feature quantity FD is data representing the measurement quality such as the retention time and the tailing amount. The normal feature quantity CFD is data representing the characteristics of the measurement result obtained based on the normal measurement data CMD. In other words, the normal feature quantity CFD is data representing the feature quantity of the measurement result obtained when the liquid chromatograph 3 is operating normally.

[0033] Figure 2 2 is a functional block diagram of the computer 1. The control unit 200 is a functional unit realized by the CPU 101 using the RAM 102 as a work area and executing the analysis support program P1. The control unit 200 includes an analysis management unit 201, a feature quantity acquisition unit 202, and a status output unit 203.

[0034] The analysis management unit 201 controls the liquid chromatograph 3. The analysis management unit 201 receives the setting of the analysis condition data AP and the start instruction of the analysis process from the user, and instructs the liquid chromatograph 3 to perform the analysis process. In addition, the analysis management unit 201 acquires the measurement data MD from the liquid chromatograph 3.

[0035] The feature quantity acquisition unit 202 calculates the feature quantity FD based on the measurement data MD indicating the measurement result of the liquid chromatograph 3. The feature quantity acquisition unit 202 calculates the retention time, tailing time, etc. as the feature quantity FD. In addition, the feature quantity acquisition unit 202 calculates the normal feature quantity CFD based on the normal measurement data CMD.

[0036] The state output unit 203 displays information indicating the flow path state of the liquid chromatograph 3 on the display 104 based on the feature quantity FD (hereinafter referred to as flow path state information). The "flow path state" in the present invention indicates the state of the flow path connecting the various units of the liquid chromatograph 3. For example, it is the state of the flow path connecting the pump unit and the autosampler unit, the state of the flow path in the pump unit or the autosampler unit, the state of the flow path connecting the autosampler unit and the column unit, the state of the flow path connecting the column unit and the detector unit, etc.

[0037] (3) Structure of Liquid Chromatograph 3 for Acquiring Flow Channel Status

[0038] Figure 33 is a diagram showing the structure of a dedicated flow path for acquiring the flow path state provided in the liquid chromatograph 3. The liquid chromatograph 3 is provided with a resistance tube 32 connected in a switchable manner to a column 31 for separating a sample. By switching control of the switching valve 33, the solvent (mobile phase) supplied from the automatic sampler is selectively delivered to the column 31 or the resistance tube 32. The solvent flowing through the column 31 or the resistance tube 32 is supplied to the detector provided in the liquid chromatograph 3.

[0039] In the present embodiment, when acquiring the flow path state of the liquid chromatograph 3, the switching valve 33 is switched so that the solvent supplied from the autosampler flows to the resistance tube 32. Thus, when acquiring the flow path state, the solvent does not flow through the column 31, and the flow path state can be acquired without the influence of deterioration of the column 31 or the like.

[0040] (4) Method for obtaining flow path status and method for outputting flow path status

[0041] Next, a method of acquiring and outputting the flow channel state executed in the computer 1 according to the present embodiment will be described. Figure 4 : is a flowchart showing the flow path state acquisition and output method involved in the present embodiment. In step S1, the analysis management unit 201 reads out the dedicated analysis condition data DAP from the storage device 106, and sets the dedicated analysis condition data DAP for the liquid chromatograph 3. Specifically, the analysis management unit 201 sets the dedicated analysis condition data DAP for the system controller of the liquid chromatograph 3. As a result, analysis processing is performed in the liquid chromatograph 3 based on the set dedicated analysis condition data DAP. In addition, in the dedicated analysis condition data DAP of the present embodiment, standard samples such as caffeine are designated as samples, and the standard samples are used in the analysis processing of state acquisition. That is, a sample containing a known component is used in the analysis processing of state acquisition. In addition, when performing analysis processing based on the dedicated analysis condition data DAP, Figure 3 The switching valve 33 shown in the figure is automatically switched, and the resistance tube 32 is assembled to the liquid chromatograph 3 instead of the column 31.

[0042] 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 by the liquid chromatograph 3. Here, the measurement data MD is three-dimensional data having elements of a retention time direction, a spectrum direction (frequency direction), and an intensity. For example, the measurement data MD is data acquired in a liquid chromatograph 3 provided with a PDA (Photo Diode Array) detector (photodiode array detector).

[0043] In addition, based on Figure 4 Before performing the flow path state acquisition process according to the flowchart of , the normal measurement data CMD is acquired. Specifically, when the liquid chromatograph 3 is operating normally, steps S1 and S2 are executed to acquire the normal measurement data CMD. For example, the normal measurement data CMD is acquired in the initial state such as just after the liquid chromatograph 3 is set up. The normal measurement data CMD is stored in the storage device 106.

[0044] Next, in step S3, the feature quantity acquisition unit 202 reads the measurement data MD stored in the storage device 106 and calculates the feature quantity FD based on the measurement data MD. The feature quantity acquisition unit 202 stores the calculated feature quantity FD in the storage device 106. The feature quantity FD is, for example, retention time, tailing time, or peak height.

[0045] In addition, based on Figure 4 Before the flow channel state acquisition process is performed as shown in the flowchart of FIG. , the normal feature quantity CFD is calculated based on the normal measurement data CMD by the feature quantity acquisition unit 202 . The normal feature quantity CFD is stored in the storage device 106 .

[0046] In order to correctly grasp the flow path state, the measurement data MD and the normal measurement data CMD are obtained through a plurality of analysis processes. For example, the dedicated analysis condition data DAP is described as repeating a plurality of analysis processes based on the same analysis method. Then, a plurality of feature quantities FD and a plurality of normal feature quantities CFD are calculated based on the plurality of measurement data MD and the plurality of normal measurement data CMD.

[0047] Next, in step S4, the state output unit 203 generates flow channel state information of the liquid chromatograph 3 based on the feature quantity FD. The flow channel state information is, for example, a graph of the feature quantity FD. Alternatively, the flow channel state information is a determination result of the flow channel state.

[0048] Next, in step S5 , the state output unit 203 outputs the flow channel state information created in step S4 to the display 104 .

[0049] (5) Flow path status information

[0050] Next, the flow channel state information generated by the state output unit 203 (the above-mentioned step S4) and displayed on the display 104 (the above-mentioned step S5) will be described. Figures 5 to 8 It is a diagram showing an example of flow path state information.

[0051] Figures 5 to 8 is a graph showing the relationship between two characteristic quantities, retention time and tailing amount, as flow path status information. Figures 5 to 8 In the graph, the horizontal axis is the retention time (seconds) and the vertical axis is the tailing amount. The tailing amount is a relative value when the peak width without tailing is set to 1. Figures 5 to 8 In the figure, the hollow quadrilaterals are the points where the normal characteristic CFD is plotted. Figure 5 In FIG. 1 , the hollow circle symbol is a point where the feature quantity FD obtained in the state acquisition process is plotted. Figures 5 to 8 In FIG. 1 , the normal feature quantity CFD and the feature quantity FD are both displayed with a plurality of symbols, but as described above, these are the results obtained by executing the analysis processing a plurality of times based on the dedicated analysis condition data DAP.

[0052] exist Figures 5 to 8 In the figure, area A1 represents the range of characteristic quantities under normal conditions. Area A2 represents the range of characteristic quantities when a dead volume is assumed to be formed. Area A3 represents the range of characteristic quantities when loose piping is assumed to have occurred. In this example, a frame representing the curves of areas A1 to A3 is displayed as flow path status information, so that the user can easily understand the flow path status. However, the frame representing areas A1 to A3 may not be displayed. In addition, explanatory texts such as "normal", "dead volume", and "loose piping" are displayed near areas A1 to A3 as flow path status information, so that the user can easily understand the flow path status. However, these explanatory texts may not be displayed.

[0053] exist Figure 5 In the example, the characteristic quantity FD is distributed in the area A2. That is, the characteristic quantity FD is distributed in the area with large tailing. By presenting this flow path state information, the user can understand the possibility of dead volume being 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 dead volume is formed in any pipe constituting the liquid chromatograph 3. However, by Figure 5 The graph presenting the feature amount FD as shown can inform the user of the possibility of the formation of a dead volume.

[0054] exist Figure 6 In FIG. 1 , the hollow triangle symbol is a point where the feature quantity FD obtained in the state acquisition process is plotted. Figure 6 In the example, the characteristic quantity FD is also distributed in the area A2. That is, the characteristic quantity FD is distributed in the area with large tailing. By presenting this flow path state information, the user can understand the possibility of dead volume being formed in the flow path of the liquid chromatograph 3. However, when compared with Figure 5 In comparison, the tailing amount of the feature amount FD is small. Therefore, the user can grasp the possibility of the formation of a dead volume at a relatively early stage.

[0055] exist Figure 7 In FIG. 1 , the black circle symbol is a point where the feature quantity FD obtained in the state acquisition process is plotted. Figure 7In the example of , the feature quantity FD is distributed in the region A3. That is, the feature quantity FD is distributed in the region with a long retention time. By presenting this flow path state information, the user can understand the possibility that a slight looseness of the pipe has occurred in the flow path of the liquid chromatograph 3.

[0056] exist Figure 8 In FIG. 1 , the black triangle symbol is a point where the feature quantity FD obtained in the state acquisition process is plotted. Figure 8 In the example, the characteristic quantity FD is also distributed in the region A3. That is, the characteristic quantity FD is distributed in the region with a long retention time. By presenting this flow path state information, the user can understand the possibility that a small looseness of the pipe has occurred in the flow path of the liquid chromatograph 3. Figure 7 In comparison, the retention time of the feature amount FD is longer. Therefore, the user can understand that there is a high possibility that the pipe is loose.

[0057] As described above, according to the computer 1 (flow path state output device) in this embodiment, it is possible to grasp the flow path state of the liquid chromatograph 3 which is difficult to detect based on the change in the fluid supply pressure. For example, a slight looseness in the piping may cause a small pressure drop which is difficult to grasp, but if Figure 7 , Figure 8 In the example shown in , a slight looseness of the piping can be grasped as a delay in the retention time. In addition, if a dead volume is formed in the piping, it cannot be confirmed as a change in the liquid delivery pressure, but if Figure 5 , Figure 6 According to the present embodiment, the flow path state that cannot be detected by pressure fluctuation can be grasped, so the state of the liquid chromatograph 3 can be managed before an abnormality that has a significant impact on the analysis result occurs.

[0058] (6) Modification of Flow Path State Information

[0059] Fig. 9 A modification of the flow path state information is shown. Based on the dedicated analysis condition data DAP, multiple (e.g., six) analysis processes are performed to obtain multiple measurement data MD. Then, the retention time, peak area, theoretical plate number, tailing value, and pump pressure are calculated based on the multiple measurement data MD, and their average, variance, conversion rate, and other characteristic quantities are calculated. Then, principal component analysis is performed on these characteristic quantities. Fig. 9The results of principal component analysis on the characteristic values ​​are shown. In the figure, the horizontal axis represents the first principal component and the vertical axis represents the second principal component. In the figure, the hollow circular symbol indicates the possibility that the characteristic value is poor suction of the autosampler. In addition, the black circular symbol indicates the possibility that the characteristic value is the mixing of bubbles into the lightweight piping. The mixing of bubbles into the lightweight piping and the poor suction of the autosampler both result in a significant decrease in peak area, so it is difficult to determine the cause by observing the peak area alone. However, by presenting Fig. 9 The flow path status information shown allows the user to determine the cause of the abnormality.

[0060] Fig.10 Another variation of the flow path state information is shown. In the above-mentioned embodiment, when performing analysis processing to obtain the flow path state, the resistance tube 32 is used. Thus, the flow path state is obtained without the influence of the column 31. As another example, a pipe that seals the flow path may be used when obtaining the flow path state. Fig.10 This is a graph showing the change in pump pressure after using sealed piping. The horizontal axis of the graph is time (minutes), and the vertical axis is pump pressure (MPa). If the pump deteriorates, the time until a specific pressure is reached becomes longer. Thus, the user can understand the flow path state. In this example, a sealed piping is used as a dedicated structure for obtaining the flow path state, but as another example, the exhaust flow path can also be used to obtain the characteristic quantity.

[0061] Fig.11 and Fig.12 Another variation of the flow path status information is shown. Fig.11 , Fig.12 In the figure, the horizontal axis is the retention time and the vertical axis is the peak area. For example, when the injection amount of the sample changes during the analysis process, the retention time and the peak area change simultaneously. Fig.11 , is an example of the flow path state information when the injection amount of the sample changes. In contrast, when poor dilution of the sample occurs, only the peak area changes. Fig.12 An example of flow path status information when poor dilution of the sample occurs is shown. This allows the user to understand the possibility of changes in the sample injection amount and poor dilution of the sample as the flow path status. When the flow path status is obtained using an actual sample instead of a standard sample such as caffeine, Fig.11 and Fig.12 The flow path status information shown in is valid.

[0062] (7) Other Modifications 1

[0063] exist Figures 5 to 8In the example of the flow path state information shown, a graph comparing the characteristic quantity FD and the normal characteristic quantity CFD is displayed. However, the display of the normal characteristic quantity CFD is not necessary, and only the characteristic quantity FD may be displayed in a graph. Alternatively, the determination result of the flow path state may be included in the flow path state information based on the characteristic quantity FD. The state output unit 203 may also output the determination result by comparing the characteristic quantity FD with a predetermined threshold value. Alternatively, the state output unit 203 may also output the determination result by comparing the characteristic quantity FD with the normal characteristic quantity CFD. For example, in Figure 5 , Figure 6 In the example, a message such as "There is a possibility that a dead volume is formed." may be displayed together with the graph showing the feature quantity FD as a judgment result. Figure 7 , Figure 8 In the example, a message such as "There is a possibility that the pipe is loose." may be displayed as the judgment result. When the feature quantity FD is within the normal range, a message "Normal" may be displayed. Alternatively, only the judgment result may be displayed without displaying the graph.

[0064] (8) Other Modifications 2

[0065] The analysis results obtained by the liquid chromatograph 3 sometimes have day-to-day differences depending on the difference in the environment such as temperature and humidity on the day when the analysis is performed. Therefore, two kinds of dedicated analysis condition data DAP may be prepared in advance, and the flow path state may be presented or determined based on the ratio of two characteristic quantities FD obtained based on the two measurement results. In addition, two normal characteristic quantities CFD may be obtained in advance based on the two kinds of dedicated analysis condition data DAP, and the ratio of the two normal characteristic quantities CFD may be set as a comparison object. It is also possible to use three or more kinds of dedicated analysis condition data DAP to calculate a plurality of characteristic quantities FD, and use their ratios.

[0066] (9) Other Implementation Methods

[0067] In the above embodiment, as the analysis device of the present invention, the liquid chromatograph 3 is used as an example for description. In addition, the present invention can also be applied to a gas chromatograph. In addition, in the above embodiment, the case where the computer 1 as the flow path state output device of the present embodiment is connected to the liquid chromatograph 3 as the analysis device via the network 4 is described as an example. As another embodiment, the computer 1 may also be a structure built into the analysis device.

[0068] In the above-mentioned embodiment, the case where the analysis auxiliary program P1 is stored in the storage device 106 is used as an example for explanation. As another embodiment, the analysis auxiliary program P1 may also be stored in the storage medium 109 and provided. Alternatively, the CPU 101 accesses the storage medium 109 via the device interface 108, and stores the analysis auxiliary program P1 stored in the storage medium 109 in the storage device 106 or the ROM 103. Alternatively, the CPU 101 accesses the storage medium 109 via the device interface 108, and executes the analysis auxiliary program P1 stored in the storage medium 109. Alternatively, the following method may be used: when the analysis auxiliary program P1 is stored in a server on the network, the CPU 101 downloads the analysis auxiliary program P1 via the communication interface 107.

[0069] (10) Method

[0070] It will be understood by those skilled in the art that the above-mentioned multiple exemplary embodiments are specific examples of the following aspects.

[0071] (First Item)

[0072] A flow path state output device according to one embodiment includes:

[0073] a characteristic value acquisition unit that measures a sample containing a known component by an analysis device and acquires the characteristic value based on the measurement result; and

[0074] A state output unit outputs information indicating a flow channel state of the analysis device to a display device based on the feature amount.

[0075] It is possible to grasp the flow path state of the analysis device which is difficult to detect based on the change in the fluid supply pressure.

[0076] (Second Item)

[0077] In the flow path state output device described in the first item, it may also be that:

[0078] The analysis device comprises a chromatograph, and the characteristic quantity comprises a retention time and / or a tailing quantity.

[0079] The flow path state of the analysis device can be understood based on the retention time or the tailing amount.

[0080] (Third Item)

[0081] In the flow path state output device described in the second item, it may also be that:

[0082] The chromatograph comprises a pump unit, an autosampler unit, a column oven unit and a detector unit.

[0083] The flow channel state of the analysis device is a flow channel state related to a flow channel that fluidically connects two units among the pump unit, the autosampler unit, the column oven unit, the detector unit, and other structural units of the chromatograph.

[0084] The flow path status between each unit of the chromatograph can be understood.

[0085] (4th item)

[0086] In the flow path state output device described in the first item, it may also be that:

[0087] The state output unit outputs a graph indicating the feature amount.

[0088] The flow path status of the analysis device can be visually presented.

[0089] (Fifth Item)

[0090] In the flow path state output device described in the first item, it may also be that:

[0091] The state output unit outputs a determination result of the flow path state.

[0092] The flow path status of the analysis device can be clearly presented.

[0093] (Sixth Item)

[0094] In the flow path state output device described in the fourth item, it may also be that:

[0095] The feature quantity acquisition unit acquires a normal feature quantity obtained by an analysis process using the sample when the flow channel state is normal.

[0096] The state output unit outputs a graph comparing the feature amount and the normal feature amount.

[0097] Since the normal characteristic amount is displayed by comparison with the characteristic amount, the flow path state can be easily understood.

[0098] (Item 7)

[0099] In the flow path state output device described in the fifth item, it may also be that:

[0100] The feature quantity acquisition unit acquires a normal feature quantity obtained by an analysis process using the sample when the flow channel state is normal.

[0101] The state output section outputs the determination result by comparing the feature amount with the normal feature amount.

[0102] Outputs a highly reliable judgment result.

[0103] (Item 8)

[0104] In the flow path state output device described in the first item, it may also be that:

[0105] The characteristic amount acquisition unit acquires the characteristic amount by using a dedicated flow channel for acquiring the flow channel state instead of a column included in the analysis device.

[0106] The flow channel state can be acquired without the influence of the column.

[0107] (Item 9)

[0108] In the flow path state output device described in the first item, it may also be that:

[0109] The feature quantity acquisition section acquires the feature quantity using a dedicated analysis method for acquiring the flow path state.

[0110] By utilizing a dedicated analysis method suitable for acquiring the flow channel state, the flow channel state can be easily grasped.

[0111] (Item 10)

[0112] In the flow path state output device described in item 9, it may also be that:

[0113] The feature quantity acquisition unit acquires a plurality of the feature quantities using a plurality of the dedicated analysis methods, and the state output unit outputs the flow channel state of the analysis device according to a ratio between the plurality of the feature quantities.

[0114] The flow path state can be accurately grasped while eliminating day-to-day differences.

Claims

1. A flow path status output device, comprising: a characteristic value acquisition unit that measures a sample containing a known component by an analysis device and acquires the characteristic value based on the measurement result; and A state output unit outputs information indicating a flow channel state of the analysis device to a display device based on the feature amount.

2. The flow path state output device according to claim 1, wherein: The analysis device comprises a chromatograph, and the characteristic quantity comprises a retention time and / or a tailing quantity.

3. The flow path state output device according to claim 2, wherein: The chromatograph comprises a pump unit, an autosampler unit, a column oven unit and a detector unit. The flow channel state of the analysis device is a flow channel state related to a flow channel that fluidically connects two units among the pump unit, the autosampler unit, the column oven unit, the detector unit, and other structural units of the chromatograph.

4. The flow path state output device according to claim 1, wherein: The state output unit outputs a graph indicating the feature amount.

5. The flow path state output device according to claim 1, wherein: The state output unit outputs a determination result of the flow path state.

6. The flow path state output device according to claim 4, wherein: The feature quantity acquisition unit acquires a normal feature quantity obtained by an analysis process using the sample when the flow channel state is normal. The state output unit outputs a graph comparing the feature amount and the normal feature amount.

7. The flow path state output device according to claim 5, wherein: The feature quantity acquisition unit acquires a normal feature quantity obtained by an analysis process using the sample when the flow channel state is normal. The state output section outputs the determination result by comparing the feature amount with the normal feature amount.

8. The flow path state output device according to claim 1, wherein: The characteristic amount acquisition unit acquires the characteristic amount by using a dedicated flow channel for acquiring the flow channel state instead of a column included in the analysis device.

9. The flow path state output device according to claim 1, wherein: The feature quantity acquisition section acquires the feature quantity using a dedicated analysis method for acquiring the flow path state.

10. The flow path state output device according to claim 9, wherein: The feature quantity acquisition unit acquires a plurality of the feature quantities using a plurality of the dedicated analysis methods, and the state output unit outputs the flow channel state of the analysis device according to a ratio between the plurality of the feature quantities.

Images