WO2024080246A1 - 流路状態出力装置 - Google Patents

流路状態出力装置 Download PDF

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Publication number
WO2024080246A1
WO2024080246A1 PCT/JP2023/036580 JP2023036580W WO2024080246A1 WO 2024080246 A1 WO2024080246 A1 WO 2024080246A1 JP 2023036580 W JP2023036580 W JP 2023036580W WO 2024080246 A1 WO2024080246 A1 WO 2024080246A1
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WIPO (PCT)
Prior art keywords
flow path
path state
state output
feature
unit
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Ceased
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PCT/JP2023/036580
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English (en)
French (fr)
Japanese (ja)
Inventor
悟司 清水
大輔 森田
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Shimadzu Corp
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Shimadzu Corp
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Priority to US19/121,065 priority Critical patent/US20260023057A1/en
Priority to JP2024551500A priority patent/JPWO2024080246A1/ja
Priority to CN202380072363.3A priority patent/CN120019276A/zh
Publication of WO2024080246A1 publication Critical patent/WO2024080246A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis
    • G01N30/8651—Recording, data aquisition, archiving and storage
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/88—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N2030/022—Column chromatography characterised by the kind of separation mechanism
    • G01N2030/027—Liquid chromatography
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/88—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86
    • G01N2030/8804—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86 automated systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/88—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86
    • G01N2030/8809—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86 analysis specially adapted for the sample

Definitions

  • the present invention relates to a device that outputs the flow path state of an analytical device.
  • Liquid chromatographs are equipped with a liquid delivery system that delivers a solvent, which serves as the mobile phase, at a set flow rate.
  • a solvent which serves as the mobile phase
  • the introduction of tiny air bubbles into the liquid delivery system can cause fluctuations in the solvent delivery pressure.
  • 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.
  • the liquid delivery pressure fluctuates suddenly, and by acquiring the range of this fluctuation as described above, it is possible to detect liquid delivery problems.
  • the change in liquid delivery pressure is not that large, some kind of abnormality that affects the analysis results may have occurred in the flow path within the liquid chromatograph. It is difficult to detect such abnormalities using the above method of acquiring the range of fluctuation in liquid delivery pressure.
  • the purpose of this invention is to understand the flow path condition of an analytical device, which is difficult to detect from fluctuations in liquid delivery pressure.
  • a flow path state output device 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 state output unit that outputs information indicating the flow path state of the analytical device to a display device based on the feature values.
  • the present invention makes it possible to grasp the flow path condition of an analytical device, which is difficult to detect from fluctuations in liquid delivery pressure.
  • FIG. 2 is a configuration diagram of a computer (channel state output device) according to the present embodiment.
  • FIG. 2 is a diagram showing the functional configuration of a computer (channel state output device).
  • FIG. 2 is a diagram showing the configuration of a dedicated flow path for acquiring a flow path state provided in a liquid chromatograph.
  • 10 is a flowchart showing a method for acquiring and outputting a state and a flow path state.
  • FIG. 13 is a diagram showing flow path state information displayed on a display.
  • FIG. 13 is a diagram showing flow path state information displayed on a display.
  • FIG. 13 is a diagram showing flow path state information displayed on a display.
  • FIG. 13 is a diagram showing flow path state information displayed on a display.
  • FIG. 13 is a diagram showing flow path state information displayed on a display.
  • FIG. 13 is a diagram showing flow path state information displayed on a display.
  • FIG. 13 is a diagram showing flow path state information displayed on a display.
  • FIG. 13 is a diagram showing flow path state information according to a modified example displayed on a display.
  • FIG. 13 is a diagram showing flow path state information according to a modified example displayed on a display.
  • FIG. 13 is a diagram showing flow path state information according to a modified example displayed on a display.
  • FIG. 13 is a diagram showing flow path state information according to a modified example displayed on a display.
  • FIG. 1 is a block diagram of a computer 1 which is a flow path 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).
  • LAN Local Area Network
  • Computer 1 has functions such as setting analysis conditions for liquid chromatograph 3, acquiring measurement results from liquid chromatograph 3, and analyzing the measurement results.
  • a program for controlling liquid chromatograph 3 is installed in computer 1.
  • the liquid chromatograph 3 includes a pump unit, an autosampler unit, a column oven unit (including a column unit), and a detector unit.
  • 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 transmits data on the measurement results of the liquid chromatograph 3 to the computer 1 via the network 4.
  • 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.
  • a CPU Central Processing Unit
  • RAM Random Access Memory
  • ROM Read Only Memory
  • 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 have the function of 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.
  • 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 values FD, and normal feature values 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.
  • the analysis condition data AP is data describing the analysis method (analysis conditions) to be set in the liquid chromatograph 3, and includes multiple analysis parameters.
  • the dedicated analysis condition data DAP is data describing a dedicated analysis method for acquiring the flow path state of the liquid chromatograph 3.
  • the measurement data MD is data of the measurement results acquired from the liquid chromatograph 3.
  • the normal measurement data CMD is data of the measurement results acquired in the measurement data MD when the liquid chromatograph 3 is operating normally.
  • the feature amount FD is data indicating the characteristics of the measurement results obtained from the measurement data MD.
  • the feature amount FD is data indicating the measurement quality such as the retention time and the tailing amount.
  • the normal feature amount CFD is data indicating the characteristics of the measurement results obtained 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 in the state when the liquid chromatograph 3 is operating normally.
  • FIG. 2 is a functional block diagram of computer 1.
  • Control unit 200 is a functional unit that is realized when CPU 101 uses RAM 102 as a work area and executes analysis support program P1.
  • Control unit 200 includes analysis management unit 201, feature acquisition unit 202, and status output unit 203.
  • the analysis management unit 201 controls the liquid chromatograph 3.
  • the analysis management unit 201 receives an instruction from the user to set analysis condition data AP and to start analysis processing, and issues instructions to the liquid chromatograph 3 for analysis processing.
  • the analysis management unit 201 also acquires measurement data MD from the liquid chromatograph 3.
  • the feature acquisition unit 202 calculates the feature FD based on the measurement data MD indicating the measurement results in the liquid chromatograph 3.
  • the feature acquisition unit 202 calculates the retention time, tailing time, etc. as the feature FD.
  • the feature acquisition unit 202 also calculates the normal feature CFD based on the normal measurement data CMD.
  • the status output unit 203 displays information indicating the flow path status of the liquid chromatograph 3 (hereinafter referred to as flow path status information) on the display 104 based on the feature FD.
  • the "flow path status” refers to the status of the flow paths connecting each unit of the liquid chromatograph 3. For example, it is the status of the flow path connecting the pump unit and the autosampler unit, the status of the flow path within the pump unit or the autosampler unit, the status of the flow path connecting the autosampler unit and the column unit, the status of the flow path connecting the column unit and the detector unit, etc.
  • FIG. 3 is a diagram showing the configuration of a dedicated flow path for acquiring the flow path state provided in liquid chromatograph 3.
  • Liquid chromatograph 3 is provided with 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, a solvent (mobile phase) supplied from an autosampler is sent selectively to either column 31 or resistance tube 32. The solvent that has flowed through column 31 or resistance tube 32 is supplied to a detector provided in liquid chromatograph 3.
  • the switching valve 33 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 into the resistance tube 32. This prevents the solvent from flowing through the column 31 when acquiring the flow path state, and eliminates the effects of deterioration of the column 31, making it possible to acquire the flow path state.
  • FIG. 4 is a flow chart showing a method of acquiring and outputting a path state according to the present embodiment.
  • 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 in the liquid chromatograph 3. Specifically, the analysis management unit 201 sets the dedicated analysis condition data DAP in the system controller of the liquid chromatograph 3. As a result, the liquid chromatograph 3 executes an analysis process based on the set dedicated analysis condition data DAP.
  • a standard sample such as caffeine is specified as a sample, and the standard sample is used in the analysis process of acquiring the state.
  • a sample containing a known component is used in the analysis process of acquiring the state.
  • the switching valve 33 shown in FIG. 3 is automatically switched, and a resistance tube 32 is incorporated in the liquid chromatograph 3 instead of the column 31.
  • the analysis management unit 201 acquires the 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 equipped in the liquid chromatograph 3.
  • the measurement data MD is three-dimensional data having elements of the retention time direction, the spectrum direction (frequency direction), and the intensity.
  • the measurement data MD is data acquired in a liquid chromatograph 3 equipped with a PDA detector (photodiode array detector).
  • normal measurement data CMD is acquired. Specifically, under conditions in which 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.
  • the feature acquisition unit 202 reads the measurement data MD stored in the storage device 106 and calculates the feature FD from the measurement data MD.
  • the feature acquisition unit 202 stores the calculated feature FD in the storage device 106.
  • the feature FD is, for example, a retention time, a tailing time, or a peak height.
  • the normal feature CFD is calculated by the feature acquisition unit 202 based on the normal measurement data CMD.
  • the normal feature CFD is stored in the storage device 106.
  • the measurement data MD and normal measurement data CMD are each obtained by multiple analysis processes.
  • the dedicated analysis condition data DAP is written so that the analysis process is repeated multiple times based on the same analysis method.
  • multiple feature quantities FD and normal feature quantities CFD are calculated based on the multiple measurement data MD and normal measurement data CMD.
  • step S4 the state output unit 203 creates 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.
  • the flow path state information is the result of determining the flow path state.
  • step S5 the status output unit 203 outputs the flow path status information created in step S4 to the display 104.
  • Figures 5 to 8 are graphs showing the relationship between two feature quantities, retention time and tailing amount, as flow path state information.
  • the horizontal axis represents retention time (seconds) and the vertical axis represents the tailing amount.
  • the tailing amount is a relative value when the peak width when there is no tailing is set to 1.
  • the open square symbols are points on which the normal feature quantity CFD is plotted.
  • the open circle symbols are points on which the feature quantity FD obtained in the state acquisition process is plotted. Note that in Figures 5 to 8, multiple symbols are displayed for both the normal feature quantity CFD and the feature quantity FD, but as mentioned above, these are the results of multiple analysis processes being performed based on the dedicated analysis condition data DAP.
  • area A1 indicates the range of features in a normal state.
  • Area A2 indicates the range of features where dead volume is expected to form.
  • Area A3 indicates the range of features where piping loosening is expected to occur.
  • curved frames indicating areas A1 to A3 are displayed as flow path state information to make it easier for the user to understand the flow path state.
  • the frames indicating areas A1 to A3 do not have to be displayed.
  • captions such as "normal,” “dead volume,” and "loose piping” are displayed near areas A1 to A3 as flow path state information to make it easier for the user to understand the flow path state. However, these captions do not have to be displayed.
  • the feature FD is distributed in region A2.
  • the feature FD is distributed in a region with a large amount of tailing.
  • the open triangular symbols are points on which the feature FD obtained in the state acquisition process is plotted.
  • the feature FD is also distributed in region A2.
  • the feature FD is distributed in a region with a large amount of tailing.
  • the black circle symbols are plots of the feature FD obtained in the status acquisition process.
  • the feature FD is distributed in region A3.
  • the feature FD is distributed in a region with long retention times.
  • the black triangle symbols are plots of the feature FD obtained in the status acquisition process.
  • the feature FD is also distributed in region A3.
  • the feature FD is distributed in a region with long retention times.
  • the computer 1 in this embodiment can grasp the flow path state of the liquid chromatograph 3 that is difficult to detect from fluctuations in the liquid delivery pressure.
  • a small looseness in the piping causes a small pressure drop that is difficult to grasp, but in the example shown in Figures 7 and 8, it can be grasped as a delay in retention time.
  • a dead volume is formed in the piping, it cannot be confirmed as a change in the liquid delivery pressure, but in the example shown in Figures 5 and 6, it can be grasped as an increase in the amount of tailing.
  • FIG. 9 shows a modified example of flow path state information.
  • multiple (e.g., six) analysis processes are performed to obtain 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 average, variance, and conversion rate are calculated.
  • feature quantities are subjected to principal component analysis.
  • FIG. 9 shows the results of performing principal component analysis on the feature quantities.
  • the horizontal axis indicates the first principal component
  • the vertical axis indicates the second principal component.
  • the open circle symbol indicates the possibility of the feature quantity being an autosampler suction failure.
  • the black circle symbol indicates the possibility of the feature quantity being a light line air bubble contamination.
  • the peak area becomes significantly smaller, so it is difficult to identify the cause just by observing the peak area.
  • the user can determine the cause of the abnormality.
  • FIG. 10 shows another modified example of the flow path state information.
  • the resistance tube 32 when performing the analysis process to acquire the flow path state, the resistance tube 32 is used. This eliminates the influence of the column 31 to acquire the flow path state.
  • a pipe with a sealed flow path may be used to acquire the flow path state.
  • FIG. 10 is a graph showing the progress of the pump pressure when a sealed pipe is used. The horizontal axis of the figure is time (minutes) and the vertical axis is pump pressure (MPa). When the pump deteriorates, the time to reach a specific pressure increases. This allows the user to understand the flow path state.
  • a sealed pipe is used as a dedicated configuration for acquiring the flow path state, but as another example, a drain flow path may be used to acquire the feature amount.
  • FIGS. 11 and 12 show another modified example of the flow path state information.
  • the horizontal axis indicates the retention time
  • the vertical axis indicates the peak area.
  • FIG. 11 shows an example of flow path state information when the sample injection amount varies.
  • FIG. 12 shows an example of flow path state information when a sample dilution defect occurs. This allows the user to grasp the possibility that the sample injection amount has changed or a sample dilution defect has occurred as the flow path state.
  • the flow path state information shown in FIGS. 11 and 12 is effective.
  • a graph comparing the characteristic amount FD with the normal characteristic amount CFD is displayed.
  • displaying the normal characteristic amount CFD is not essential, and only the characteristic amount FD may be displayed as a graph.
  • the flow path state determination result may be included in the flow path state information based on the characteristic amount FD.
  • the state output unit 203 may output the determination result by comparing the characteristic amount FD with a predetermined threshold value.
  • the state output unit 203 may output the determination result by comparing the characteristic amount FD with the normal characteristic amount CFD. For example, in FIG. 5 and FIG.
  • a message such as "Dead volume may be formed” may be displayed as the determination result together with the graph showing the characteristic amount FD.
  • a message such as "Pipe may be loosened” may be displayed as the determination result.
  • a message "normal” may be displayed.
  • a graph may not be displayed and only the determination result may be displayed.
  • the analysis results by the liquid chromatograph 3 may vary from day to day due to differences in the environment, 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 amounts FD obtained from the two types of measurement results. Also, two normal feature amounts CFD may be obtained based on the two types of dedicated analysis condition data DAP, and the ratio of the two normal feature amounts CFD may be used as a comparison target. Multiple types of feature amounts FD may be calculated using three or more types of dedicated analysis condition data DAP, and the ratios between them may be used.
  • 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.
  • the computer 1, which is the flow path state output device of the present embodiment is connected to the liquid chromatograph 3, which is the analytical device, via the network 4.
  • the computer 1 may be configured to be built into the analytical device.
  • the analysis support program P1 is stored in the storage device 106. In another embodiment, the analysis support program P1 may be stored in the storage medium 109 and provided.
  • 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.
  • a flow path state output device includes: a feature acquisition unit that measures a sample containing known components using an analytical device and acquires feature amounts from the measurement results; and a status output unit that outputs information indicating a flow path status of the analysis device to a display device based on the feature amount.
  • the analytical device may include a chromatograph, and the features may include retention time and/or tailing amount.
  • the flow path condition of the analytical device can be understood based on the retention time or tailing amount.
  • the chromatograph has a pump unit, an autosampler unit, a column oven unit and a detector unit,
  • the flow path state of the analytical device may be 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.
  • the state output unit may output a graph indicating the feature amount.
  • the flow path status of the analytical device can be visually displayed.
  • the state output unit may output a result of the determination of the flow path state.
  • the flow path status of the analytical device can be clearly displayed.
  • the characteristic amount acquisition unit acquires a normal characteristic amount obtained by an analysis process using the sample when the flow path state is normal;
  • the status output unit may output a graph comparing the feature amount with the normal feature amount.
  • the characteristic amount acquisition unit acquires a normal characteristic amount obtained by an analysis process using the sample when the flow path state is normal;
  • the status output unit may output the determination result by comparing the feature amount with the normal feature amount.
  • the feature acquisition unit may acquire the feature by utilizing a dedicated flow path for acquiring the flow path state, instead of a column included in the analysis device.
  • the influence of the column can be eliminated and the flow path condition can be obtained.
  • the feature amount acquiring unit may acquire the feature amount by utilizing a dedicated analysis method for acquiring the flow path state.
  • the feature acquisition unit may acquire a plurality of the feature amounts by utilizing a plurality of types of the dedicated analysis methods, and the state output unit may output the flow path state of the analysis device based on a ratio of the plurality of the feature amounts.

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PCT/JP2023/036580 2022-10-14 2023-10-06 流路状態出力装置 Ceased WO2024080246A1 (ja)

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US19/121,065 US20260023057A1 (en) 2022-10-14 2023-10-06 Flow-path state output device
JP2024551500A JPWO2024080246A1 (https=) 2022-10-14 2023-10-06
CN202380072363.3A CN120019276A (zh) 2022-10-14 2023-10-06 流路状态输出装置

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010066185A (ja) * 2008-09-12 2010-03-25 Shimadzu Corp ガスクロマトグラフ装置
WO2020175510A1 (ja) * 2019-02-26 2020-09-03 株式会社日立ハイテク 液体クロマトグラフ分析装置、及びその制御方法
US20200300820A1 (en) * 2016-03-07 2020-09-24 Waters Technologies Corporation Systems, methods and devices for reducing band dispersion in chromatography
JP2021032901A (ja) * 2019-08-27 2021-03-01 エフ ホフマン−ラ ロッシュ アクチェン ゲゼルシャフト 分析装置の状態をチェックする技術
WO2021099301A1 (en) * 2019-11-20 2021-05-27 Cytiva Sweden Ab Method for determining an operating flow rate for a chromatographic column in an hplc system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010066185A (ja) * 2008-09-12 2010-03-25 Shimadzu Corp ガスクロマトグラフ装置
US20200300820A1 (en) * 2016-03-07 2020-09-24 Waters Technologies Corporation Systems, methods and devices for reducing band dispersion in chromatography
WO2020175510A1 (ja) * 2019-02-26 2020-09-03 株式会社日立ハイテク 液体クロマトグラフ分析装置、及びその制御方法
JP2021032901A (ja) * 2019-08-27 2021-03-01 エフ ホフマン−ラ ロッシュ アクチェン ゲゼルシャフト 分析装置の状態をチェックする技術
WO2021099301A1 (en) * 2019-11-20 2021-05-27 Cytiva Sweden Ab Method for determining an operating flow rate for a chromatographic column in an hplc system

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