WO2002101384A2 - Verfahren und vorrichtung zur automatischen, optimierten durchführung chromatographischer analysen - Google Patents
Verfahren und vorrichtung zur automatischen, optimierten durchführung chromatographischer analysen Download PDFInfo
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- WO2002101384A2 WO2002101384A2 PCT/EP2002/006014 EP0206014W WO02101384A2 WO 2002101384 A2 WO2002101384 A2 WO 2002101384A2 EP 0206014 W EP0206014 W EP 0206014W WO 02101384 A2 WO02101384 A2 WO 02101384A2
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- parameters
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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
- G01N30/8693—Models, e.g. prediction of retention times, method development and validation
-
- 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
- G01N30/8658—Optimising operation parameters
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10T—TECHNICAL SUBJECTS COVERED BY FORMER US CLASSIFICATION
- Y10T436/00—Chemistry: analytical and immunological testing
- Y10T436/11—Automated chemical analysis
Definitions
- the present invention relates to a method and a device for automatically carrying out and optimizing chromatographic examinations with the aid of an electronic data processing device, the method comprising the steps
- the corresponding device has a chromatographic column or separation column, an inlet chamber for the mixture of substances, an eluent supply, a measuring unit at the exit of the chromatography column, and a data acquisition unit for the automatic and / or manual input of data.
- the known systems work reliably and quickly if the analytes, that is to say the individual components of the mixture of substances, are sufficiently known. If, for example, it is important to confirm a concrete composition of a mixture of substances, such as a medicament, and / or to rule out that, for example, a certain undesired by-product, which can easily arise in the manufacturing process, is contained in the mixture, one can standardize on this Set certain chromatography conditions based on empirical values and at least partially let them run automatically. Since the components sought, as well as any undesired components, are known, the individual bands can be clearly assigned to the components on the basis of the chromatogram, which was created on the basis of corresponding empirical values.
- Quantitative estimates based on the area under the bands are also possible are.
- the parameters to be changed are, for example, the temperature and the composition of the eluent.
- the eluent can be, for example, a mixture of water and a non-polar solvent, such as, for example, methanol or acetonitrile.
- the non-polar solvent is also referred to in technical terminology as an "organic modifier".
- the analytes accumulate on the surface of the solid phase and the flushing or pressing of the eluent through the chromatography column leads to a component being detached from the surface of the solid phase within a certain time and discharged with the eluent at the exit of the chromatography column.
- the length of time that elapses from the start of the chromatography run until a component appears at the exit of the chromatography column is called the "retention time" of this component.
- An essential parameter influencing the retention times in the chromatography column is the mixing ratio between water and organic modifier or, in other words, the concentration of the organic modifier in the eluent.
- the material i.e. the surface quality and the porosity or grain size of the column material, also play an important role.
- the mixture of substances introduced into an inlet chamber is initially largely adsorbed by the column material.
- the eluent then detaches the individual components from the column material and gradually transports them to the exit of the chromatography column. Due to the different solubilities and interaction energies between the individual analytes and the eluent on the one hand and between the analytes and the column material on the other hand, the components dissolve at different speeds in the eluent and are therefore transported through and out of the column at different speeds. This leads to a separation of the individual components, which are transported one after the other from the exit of the column and through the measuring cuvette.
- the solubilities are very different at a given concentration, this is at the expense of the time required for the chromatography run, since the part of the more soluble components may appear relatively quickly at the outlet of the column, while very poorly soluble components take an extremely long time. necessary until they have been released from the eluent and transported to the exit of the column.
- the chromatogram which is, for example, nothing other than the UV absorption in the cuvette as a function of time, can be stretched very long and thus take a very long time, whereby in addition, the bands or peaks arriving very late can also be flattened to a great extent and are therefore hardly recognizable.
- the setting of the right parameters in routine chromatography runs with which, for example, only a constant quality of a specific product is to be ensured without major difficulties
- the setting of the parameters in the case of mixtures of substances whose composition is not or only partially known a significant problem.
- the optimum parameters are selected on the basis of empirical values, that is to say essentially the column material, the temperature to be set and the concentration of the organic modifier.
- the "ideal" chromatogram therefore consists of a series of closely sequential bands which have just been completely separated from one another, the first band appearing as early as possible after the start of the chromatographic run.
- the "bands" or “peaks” can arise, for example, from UV absorption, the eluent emerging from the chromatography column, together with the material dissolved therein, being passed through a measuring cuvette which is irradiated from one side with UV light while a detector for UV light is arranged on the opposite side of the cuvette, with the aid of which the UV absorption of the components of the substance mixture which are contained in the eluent flowing through the cuvette can be detected.
- Other detection methods for the individual, dissolved components are also conceivable, up to mass spectrometric investigations.
- the concentration of the organic modifier is selected in many cases. varies during the chromatography run (so-called gradient chromatography). This generally begins with a low concentration of the organic modifier, which, for example, is increased continuously until the end of the chromatography run. However, it is often advisable not to leave the concentration gradient constant, but to vary it more strongly, and for example to change the concentration step by step or to change it continuously only for a limited time, and otherwise to proceed at constant concentrations.
- the method has so far been automated in that the user of the chromatography device selects and enters a set of parameters and the chromatography device then automatically carries out the chromatography runs with the selected parameters. A lot of test runs are usually necessary here and not all selected parameters lead to meaningful results. The best results have to be found manually from the chromatograms obtained.
- the present invention has for its object to provide a method and an apparatus for chromatography investigations, which require less human labor and can still ensure complete detection of all or as many components of the substance mixture in a comparatively short time.
- the method according to the invention generally provides the following steps: i) collecting data comprising at least one of the following information
- the recorded data can be taken over and / or supplemented in whole or in part from a data storage device and, in the event that data are not available for the information according to a), b) or c), at least a first test run is carried out under isocratic conditions in order to record retention times according to a), and preferably another isocratic test run with a different concentration of the organic modifier is carried out,
- step iv) performing at least one further chromatography run with the parameters of the retention times optimized according to step iii) and comparison of the actual retention times with the theoretically calculated, optimized retention times,
- steps i) to iv) if necessary, repeating steps i) to iv) one or more times, if the deviations of the calculated and the measured retention times exceed a predefinable limit value or if the differences of the retention times of two successive chromatography runs fall below a predefinable limit value,
- the mixture consists of only a few components, the retention times of which are known at certain concentrations of the organic modifier, it is generally relatively easy to adjust the concentration, the course of the concentration and / or the temperature such that each of the components has a clearly different retention time so that the corresponding peaks of the chromatogram are neatly separated from one another, and at the same time the longest retention time of the components is kept as short as possible.
- the retention times are selected in a model as functions of the adjustable variables, that is to say on the basis of a model which as at least part of the available data Contains parameters or measured values.
- the retention times are then optimized by varying the concentration of the organic modifier and / or also the temperature in the model, it being understood that the retention times actually measured at given concentrations must be correctly reproduced in the model. This is generally done by adapting model parameters that are assumed to be constant for further optimization.
- An artificial intelligence module ultimately decides which parameters are considered optimal and gives the appropriate instructions to a control unit.
- the more difficult application of the method according to the invention is when only a few components of the substance mixture are known, but the majority are not known. Of these components, either specific retention times at certain concentrations of the organic modifier can be known or, alternatively or additionally, the structural formulas of components of the substance mixture.
- a theoretical model is again used and with this theoretical model the retention times of all known components at different concentrations are calculated and the concentrations of the organic modifier are optimized as a function of time.
- the temperature can also be used as an additional optimization parameter, in particular if, for example, two components are difficult to separate from one another at a given temperature, but at the same time their retention times show a clearly different temperature response. If no data on structural formulas or retention times are available, a test run is simply carried out under isocratic conditions, i.e. with a constant concentration of the organic modifier.
- a second test run with a second concentration of the organic modifier is preferably carried out. At least some bands usually appear in the respective chromatogram at both concentrations.
- the process runs completely automatically and the corresponding device is designed for such an automatic process sequence, that is to say that in addition to the basic components of a chromatography column with an inlet chamber the mixture of substances, an eluent supply and the measuring unit at the exit of the chromatography column, a data acquisition device for the automatic and / or manual entry of data, an associated optimization unit, which, based on the last recorded data of a system, optimizes parameters for a (further) chromatography run calculated and a control device and parameter sensors, which are provided to automatically set the parameters determined in the optimization unit and the parameters according to the automatically determined process flow to control.
- the optimization unit then in turn calculates optimized parameters for the various components of the system on the basis of the recorded concentration course of the retention times, which are set in a further chromatography run.
- the retention times actually measured are compared with the previously calculated times and the model parameters used are adjusted in such a way that the model now reproduces the retention times actually measured.
- optimized parameters of the chromatography run (concentration curve and / or temperature) can be calculated and set again.
- the respectively calculated, optimized parameters, the retention times calculated therefrom, and the retention times measured thereafter with the same set parameters are automatically recorded in a data acquisition device and stored in such a way that a mixture of substances clearly has the corresponding iterative sequence of chromatography runs, the set parameters and the Measurement results can be assigned.
- the end of such a series is a chromatography run with optimized parameters, whereby the criterion for finally optimized parameters is, for example, the condition that a maximum number of bands or peaks is recorded separately and a predetermined time limit is not exceeded, the time limit also can be a time dependent on the number of peaks recorded.
- Data storage may also be limited to the last set of optimized parameters for a given mixture of substances.
- the condition can be selected that the changes in the retention times and / or parameters that have been obtained due to two or more iterative chromatography runs differ only slightly from one another, so that it can be expected that further iterative optimizations will only continue deliver minor improvements.
- the essentially adjustable parameters are the concentration of the organic modifier and the temperature.
- the calculation or optimization of the retention times for the other components takes place in the underlying model on the condition that the parameter space spanned by the components available as standards is not exceeded.
- a parameter space contains, for example, restrictions with regard to the possible concentration of an organic modifier in that in any case the components (at least two) must be recorded within a predetermined time limit.
- parameter conditions must be excluded in which the two known components would not be clearly separable from one another. The parameters to be set then only need to be searched in the remaining area. The same applies, of course, if more than two components are available as standards.
- the number of peaks or bands of the chromatogram measured overall is also recorded.
- the parameters are only changed to the extent that the number of peaks recorded does not decrease as a result. This also imposes considerable restrictions on the available parameter space and thus a significant acceleration of the optimization.
- a so-called peak tracking strategy is preferably used, which is based on the identification of peaks in a two-dimensional tableau, in which the retention times associated with the peaks are shown as a function of the concentration of the organic modifier. It goes without saying that this does not require a concrete two-dimensional representation, but that such a tableau can also be grasped and analyzed in a purely mathematical abstract.
- the condition is used that two peaks that were recorded with different parameters are only considered to belong to the same component if the retention time or the natural logarithm of the retention time is a function that decreases with increasing concentration of the organic modifier.
- peaks are regarded as not being identical or not belonging to the same component if the relative deviations of the peak areas exceed a predetermined limit value for a given change in the concentration of the organic modifier.
- two peaks can be considered identical if the spectral properties of the components producing these peaks are identical or very similar. Accordingly, two peaks are considered not to be identical or not to belong to the same component if the deviations in the spectral properties exceed a predetermined limit.
- the method can be improved by calculating the retention times for at least one alternative stationary phase, that is to say an alternative column material, and optimizing them as a function of the variable parameters.
- This is particularly expedient when a satisfactory result cannot be achieved for the column material initially taken into account, that is, either excessively long retention times have to be accepted or not all components of the substance mixture are recorded.
- another eluent can also be taken into account and, if necessary, it is possible to switch to a different chromatography column with the same or a different eluent.
- those based on the first column material and the first organic modifier or eluent can be determined.
- Some model parameters are transferred or converted to the model parameters for the new column material and the new eluent with certain restrictions.
- the optimization times for the second column material and / or the second eluent can likewise be shortened considerably. It is therefore expedient for such transitions to other chromatography columns or other eluents to take place initially only theoretically on the basis of the model mentioned, and a switchover is preferably only carried out if the optimizations carried out on this theoretical basis show a significant improvement compared to the chromatography columns or eluents initially used promise.
- the parameters that is to say the concentration of the organic modifier as a function of time or the temperature, are set automatically in the various chromatography runs which may have to be carried out in the course of the optimization. A user therefore only needs to monitor the system or a corresponding chromatography system at certain time intervals, the stored data expediently being recorded in the form of logs and being displayed on a screen or also on another display medium.
- a module of artificial intelligence is expediently used, e.g. is able to compromise between peak separation and total duration.
- Such an artificial intelligence module can also be used for optimization.
- a so-called Monte Carlo optimization can also be carried out, for example.
- the coefficients a, b and c are model parameters which are to be set so that the known or measured values are correctly reproduced. Both models can of course also be combined with one another or applied independently of one another to a given system, the solvatic model of course only being applicable if individual components or their structural formulas or molecular parameters are known. The method mentioned is further improved if an artificial intelligence module is used which allows the parameters for the next experiment to be set on the basis of the results of the previous experiments.
- An initial situation is e.g. characterized in that structural formulas are known for at least some of the components. Then retention times for a particular column type and an organic solvent can be estimated according to the solvatic model. A test run is then carried out with the conditions set accordingly.
- FIG. 1 shows a chromatogram as determined for seven sulfonamides under isocratic conditions at a first concentration of an organic modifier.
- Figure 2 shows the results for the same system, but with a second, lower concentration of an organic modifier.
- only 6 peaks are clearly recognizable.
- the double structure of the first peak in FIG. 2 and also the irregularities at the second peak in FIG. 1 indicate that at least one further analyte is hidden in the mixture of substances which has not yet been resolved in these chromatograms.
- the solvatic retention model is used. If the structures are known, the system calculates according to known methods (1. SV Galushko, J. of Chromatography, 552 (1991), 91-102; 2. SV Galushko, AA Kamenchuk, GL Pit, J. of Chromatography A, 660 (1994) 47-59) the values for V and for ⁇ G automatically.
- the parameters a, b and c which are determined by the solvent or the eluent and the stationary phase, are obtained by calibration with a known standard system of substance mixtures or individual components. The parameters a, b and c remain unchanged for the further calculation, so that the retention times result directly from the structural formulas. Due to the concentration dependency of parameters a, b and c, the optimal concentrations for a mixture of substances consisting of several components can now be calculated if all components are to be recorded separately within a reasonable time.
- test run is carried out with the correspondingly calculated parameters.
- the test results are then used to refine the model parameters and to recalculate retention times until the model matches the times measured in reality.
- the then optimized molecular parameters V and ⁇ G as well as the set parameters for an optimal chromatography run are then saved for future use.
- the quadratic model can be used, ie the parameter c is now also assumed to be different from 0.
- a further optimization takes place, starting from the previously determined; optimal isocratic concentrations by determining an optimal gradient profile.
- the system can generate corresponding gradient profiles in large numbers at random and calculate the associated chromatogram or the position of the bands of the individual components with the previously determined, optimized model parameters, with a suitable optimization criterion (e.g. the product of the distances of all neighboring peaks divided by the square of the longest retention time) and the optimal profile can then be determined using so-called "Monte Carlo methods" at random. Additional boundary conditions, such as the condition that the concentration can only be constant or increasing makes it easier to find an optimal gradient profile.
- the time required for optimization naturally depends on the number of components or connections to be analyzed. Typically it takes 10-12 hours to optimize the conditions for a mixture of substances with five components on a conventional column. If the molecular parameters V and ⁇ G are known, the optimization can be carried out much faster.
- the method according to the invention and the corresponding device have the particular advantage that they run automatically without external intervention by operators as soon as a few parameters have been entered and the system has been started.
- Rinsing time for new solvent 6.0 minutes initial concentration 80% delay time 1.25 minutes.
- the best isocratic conditions had been determined with a concentration of 8%. After that, runs were run on the entire mix. A selection criterion was a peak area of 30,000 in area units (e.g. ⁇ Vs). In 18 runs the concentration was gradually reduced from 80% to 71%, 63%, 55%, 49%, 45%, 35%, 28%, 25%, 22%, 19%, 16%, 13%, 10%, 7%, 5% and again increased to 8% and 12%. The retention times, the peak widths, the peak areas and the number of theoretical bottoms of the peaks were determined. The pair resolution and the normalized retention time were also determined from the chromatograms. It was then found that an isocratic concentration of 19% gave the best values.
- a selection criterion was a peak area of 30,000 in area units (e.g. ⁇ Vs). In 18 runs the concentration was gradually reduced from 80% to 71%, 63%, 55%, 49%, 45%, 35%, 28%, 25%, 22%, 19%,
- FIGS. 1 and 2 Two of the chromatograms that resulted from the abovementioned experiments are shown in FIGS. 1 and 2 already discussed, FIG. 2 showing the optimum for isocratic conditions.
- the system modifies the test runs by setting eluent gradients. For this purpose, for example, a linear retention model is set up that takes into account the measured retention times, the peak areas and the spectral data. On this basis, multi-level gradients are searched for and used in further runs. Examples of this are shown in FIGS. 3, 4 and 5.
- the essential criterion is the parameter of the pair resolution.
- a parameter of the pair resolution for the critical peak pair of 3.511 and a maximum retention time of approximately 17.5 minutes are obtained.
- a further improved pair resolution with a value of 4.506 is obtained for the gradient curve, as is finally shown in FIG. 5.
- the maximum retention time of 19.2 minutes determined is in any case still within an acceptable range, so that the chromatography conditions (gradient curve) shown in FIG. 5 have been selected as optimal in the present example after further test runs no better pair resolution and possibly a slight reduction the maximum retention time.
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Abstract
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Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2003504091A JP2004529369A (ja) | 2001-06-13 | 2002-05-31 | クロマトグラフィ分析を自動的に最適化して実行するための方法およびデバイス |
| EP02758210A EP1395821A2 (de) | 2001-06-13 | 2002-05-31 | Verfahren und vorrichtung zur automatischen, optimierten durchführung chromatographischer analysen |
| AU2002325224A AU2002325224A1 (en) | 2001-06-13 | 2002-05-31 | Method and device for carrying out chromatographic analyses in an automatic and optimised manner |
| US10/480,593 US7216039B2 (en) | 2001-06-13 | 2002-05-31 | Method and device for carrying out chromatographic analyses in an automatic and optimised manner |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE10128546A DE10128546A1 (de) | 2001-06-13 | 2001-06-13 | Verfahren und Vorrichtung zur automatischen, optimierten Durchführung chromatographischer Analysen |
| DE10128546.9 | 2001-06-13 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| WO2002101384A2 true WO2002101384A2 (de) | 2002-12-19 |
| WO2002101384A3 WO2002101384A3 (de) | 2003-09-12 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/EP2002/006014 Ceased WO2002101384A2 (de) | 2001-06-13 | 2002-05-31 | Verfahren und vorrichtung zur automatischen, optimierten durchführung chromatographischer analysen |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US7216039B2 (de) |
| EP (1) | EP1395821A2 (de) |
| JP (1) | JP2004529369A (de) |
| AU (1) | AU2002325224A1 (de) |
| DE (1) | DE10128546A1 (de) |
| WO (1) | WO2002101384A2 (de) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108875284A (zh) * | 2018-08-13 | 2018-11-23 | 辽宁大学 | 一种基于随机扩散理论的气相色谱分离仿真方法 |
| CN115933803A (zh) * | 2023-01-09 | 2023-04-07 | 江苏东成工具科技有限公司 | 一种设备控制方法、设备及计算机可读介质 |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10345958A1 (de) | 2003-10-02 | 2005-04-21 | Magna Steyr Fahrzeugtechnik Ag | Mobiler Tank für kryogene Flüssigkeiten |
| US9424398B1 (en) * | 2009-01-24 | 2016-08-23 | Dionex Corporation | Workflows for defining a sequence for an analytical instrument |
| US8631057B2 (en) * | 2009-08-25 | 2014-01-14 | International Business Machines Corporation | Alignment of multiple liquid chromatography-mass spectrometry runs |
| WO2011094264A1 (en) * | 2010-01-26 | 2011-08-04 | Alltech Associates, Inc. | Methods for optimizing gradients in liquid chromatography systems |
| US8716025B2 (en) * | 2011-07-08 | 2014-05-06 | Agilent Technologies, Inc. | Drifting two-dimensional separation with adaption of second dimension gradient to actual first dimension condition |
| CN102879508B (zh) * | 2011-07-15 | 2014-12-03 | 株式会社岛津制作所 | 用于液相色谱仪的控制设备 |
| US11835501B2 (en) | 2015-07-13 | 2023-12-05 | Sartorius Stedim Chromatography Systems Ltd. | Optimizing operating binding capacity for a multiple column chromatography process |
| DE102019111783A1 (de) * | 2019-05-07 | 2020-11-12 | Dionex Softron Gmbh | Verfahren, System und Verwendung zur Änderung eines Analysevorgangs |
| DE102019111782A1 (de) * | 2019-05-07 | 2020-11-12 | Dionex Softron Gmbh | Leistungsüberwachung eines Analysesystems |
| WO2020225863A1 (ja) * | 2019-05-08 | 2020-11-12 | 株式会社島津製作所 | 質量分析装置及び質量分析方法 |
| GB2593686B (en) * | 2020-03-30 | 2022-12-21 | Agilent Technologies Inc | Adjusting separation method using sensor data and numerical analysis |
| GB2616385B (en) * | 2020-11-17 | 2024-12-18 | Agilent Technologies Inc | Gas chromatography systems and methods with diagnostic and predictive module |
| CN118501317A (zh) * | 2024-05-28 | 2024-08-16 | 沃弗(南京)环境工程有限公司 | 一体化智能色谱仪控制系统及方法 |
| CN118737802B (zh) * | 2024-09-03 | 2025-02-07 | 烟台至公生物医药科技有限公司 | 一种质谱仪内部腔室气压自调节控制方法及系统 |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2800509B2 (ja) * | 1990-11-30 | 1998-09-21 | 株式会社日立製作所 | 液体クロマトグラフ装置 |
| US5305232A (en) * | 1992-05-13 | 1994-04-19 | The University Of Rochester | Chromatography system |
| IT1277749B1 (it) * | 1995-12-29 | 1997-11-12 | Fisons Instr Spa | Dispositivo e metodo per effettuare la separazione di un campione in singoli componenti in un condotto capillare di un apparecchio per la |
| DE19860354B4 (de) | 1998-12-24 | 2006-11-23 | Universität Dortmund | Eine Methode zur modellbasierten on-line Optimierung und Parameterschätzung von Batch-Chromatographieprozessen |
| US20020010566A1 (en) | 2000-04-11 | 2002-01-24 | Chester Thomas Lee | Methods for modeling, predicting, and optimizing high performance liquid chromatography parameters |
| DE10049079A1 (de) | 2000-10-02 | 2002-04-18 | Merck Patent Gmbh | Verfahren und System zur Methodenoptimierung in der Chromatographie |
-
2001
- 2001-06-13 DE DE10128546A patent/DE10128546A1/de not_active Withdrawn
-
2002
- 2002-05-31 EP EP02758210A patent/EP1395821A2/de not_active Withdrawn
- 2002-05-31 WO PCT/EP2002/006014 patent/WO2002101384A2/de not_active Ceased
- 2002-05-31 US US10/480,593 patent/US7216039B2/en not_active Expired - Fee Related
- 2002-05-31 JP JP2003504091A patent/JP2004529369A/ja active Pending
- 2002-05-31 AU AU2002325224A patent/AU2002325224A1/en not_active Abandoned
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108875284A (zh) * | 2018-08-13 | 2018-11-23 | 辽宁大学 | 一种基于随机扩散理论的气相色谱分离仿真方法 |
| CN108875284B (zh) * | 2018-08-13 | 2022-07-19 | 辽宁大学 | 一种基于随机扩散理论的气相色谱分离仿真方法 |
| CN115933803A (zh) * | 2023-01-09 | 2023-04-07 | 江苏东成工具科技有限公司 | 一种设备控制方法、设备及计算机可读介质 |
Also Published As
| Publication number | Publication date |
|---|---|
| EP1395821A2 (de) | 2004-03-10 |
| US20040253147A1 (en) | 2004-12-16 |
| AU2002325224A1 (en) | 2002-12-23 |
| DE10128546A1 (de) | 2002-12-19 |
| WO2002101384A3 (de) | 2003-09-12 |
| US7216039B2 (en) | 2007-05-08 |
| JP2004529369A (ja) | 2004-09-24 |
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