Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics
Purpose To develop an analytical platform for the estimation as well as characterization of aggregates over the complete size spectrum (from invisible monomer to visible precipitates). Methods Two mAb samples were incubated at 30°C in different buffer systems of protein A chromatography for observin...
Ausführliche Beschreibung
Autor*in: |
Bansal, Rohit [verfasserIn] Gupta, Surbhi [verfasserIn] Rathore, Anurag S. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Übergeordnetes Werk: |
Enthalten in: Pharmaceutical research - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1984, 36(2019), 11 vom: 28. Aug. |
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Übergeordnetes Werk: |
volume:36 ; year:2019 ; number:11 ; day:28 ; month:08 |
Links: |
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DOI / URN: |
10.1007/s11095-019-2690-8 |
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Katalog-ID: |
SPR016586204 |
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520 | |a Purpose To develop an analytical platform for the estimation as well as characterization of aggregates over the complete size spectrum (from invisible monomer to visible precipitates). Methods Two mAb samples were incubated at 30°C in different buffer systems of protein A chromatography for observing degradation due to aggregation. The aggregation in these samples was quantified by size exclusion chromatography (SEC), dynamic light scattering (DLS), and micro flow imaging (MFI). Results The results obtained from various characterization tools were analysed in various size ranges - size exclusion chromatography (SEC) (1 nm - 25 nm), dynamic light scattering (DLS) (10 nm - 5 μm), and micro flow imaging (MFI) (2 μm - 300 μm). Since each characterization tool covers a particular size range, data from multiple tools was collected in the “handover” regions to demonstrate accuracy of the platform. Conclusions Based on the observations from the experiments, an analytical platform has been proposed covering the whole size spectrum that would be of utility to those engaged in formulation development as well as other aspects related to stability of biotherapeutic products. | ||
700 | 1 | |a Gupta, Surbhi |e verfasserin |4 aut | |
700 | 1 | |a Rathore, Anurag S. |e verfasserin |4 aut | |
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912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_SPRINGER | ||
912 | |a SSG-OLC-PHA | ||
912 | |a SSG-OPC-PHA | ||
912 | |a SSG-OPC-ASE | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_32 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
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912 | |a GBV_ILN_90 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_100 | ||
912 | |a GBV_ILN_101 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_120 | ||
912 | |a GBV_ILN_138 | ||
912 | |a GBV_ILN_150 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_152 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_171 | ||
912 | |a GBV_ILN_187 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_224 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_250 | ||
912 | |a GBV_ILN_281 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_370 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_636 | ||
912 | |a GBV_ILN_702 | ||
912 | |a GBV_ILN_2001 | ||
912 | |a GBV_ILN_2003 | ||
912 | |a GBV_ILN_2004 | ||
912 | |a GBV_ILN_2005 | ||
912 | |a GBV_ILN_2006 | ||
912 | |a GBV_ILN_2007 | ||
912 | |a GBV_ILN_2008 | ||
912 | |a GBV_ILN_2009 | ||
912 | |a GBV_ILN_2010 | ||
912 | |a GBV_ILN_2011 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_2015 | ||
912 | |a GBV_ILN_2020 | ||
912 | |a GBV_ILN_2021 | ||
912 | |a GBV_ILN_2025 | ||
912 | |a GBV_ILN_2026 | ||
912 | |a GBV_ILN_2027 | ||
912 | |a GBV_ILN_2031 | ||
912 | |a GBV_ILN_2034 | ||
912 | |a GBV_ILN_2037 | ||
912 | |a GBV_ILN_2038 | ||
912 | |a GBV_ILN_2039 | ||
912 | |a GBV_ILN_2044 | ||
912 | |a GBV_ILN_2048 | ||
912 | |a GBV_ILN_2049 | ||
912 | |a GBV_ILN_2050 | ||
912 | |a GBV_ILN_2055 | ||
912 | |a GBV_ILN_2057 | ||
912 | |a GBV_ILN_2059 | ||
912 | |a GBV_ILN_2061 | ||
912 | |a GBV_ILN_2064 | ||
912 | |a GBV_ILN_2065 | ||
912 | |a GBV_ILN_2068 | ||
912 | |a GBV_ILN_2070 | ||
912 | |a GBV_ILN_2086 | ||
912 | |a GBV_ILN_2088 | ||
912 | |a GBV_ILN_2093 | ||
912 | |a GBV_ILN_2106 | ||
912 | |a GBV_ILN_2107 | ||
912 | |a GBV_ILN_2108 | ||
912 | |a GBV_ILN_2110 | ||
912 | |a GBV_ILN_2111 | ||
912 | |a GBV_ILN_2112 | ||
912 | |a GBV_ILN_2113 | ||
912 | |a GBV_ILN_2116 | ||
912 | |a GBV_ILN_2118 | ||
912 | |a GBV_ILN_2119 | ||
912 | |a GBV_ILN_2122 | ||
912 | |a GBV_ILN_2129 | ||
912 | |a GBV_ILN_2143 | ||
912 | |a GBV_ILN_2144 | ||
912 | |a GBV_ILN_2147 | ||
912 | |a GBV_ILN_2148 | ||
912 | |a GBV_ILN_2152 | ||
912 | |a GBV_ILN_2153 | ||
912 | |a GBV_ILN_2188 | ||
912 | |a GBV_ILN_2190 | ||
912 | |a GBV_ILN_2232 | ||
912 | |a GBV_ILN_2336 | ||
912 | |a GBV_ILN_2446 | ||
912 | |a GBV_ILN_2470 | ||
912 | |a GBV_ILN_2472 | ||
912 | |a GBV_ILN_2507 | ||
912 | |a GBV_ILN_2522 | ||
912 | |a GBV_ILN_2548 | ||
912 | |a GBV_ILN_4035 | ||
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912 | |a GBV_ILN_4249 | ||
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912 | |a GBV_ILN_4307 | ||
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912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
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912 | |a GBV_ILN_4333 | ||
912 | |a GBV_ILN_4334 | ||
912 | |a GBV_ILN_4335 | ||
912 | |a GBV_ILN_4336 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4393 | ||
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10.1007/s11095-019-2690-8 doi (DE-627)SPR016586204 (SPR)s11095-019-2690-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.38 bkl Bansal, Rohit verfasserin aut Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To develop an analytical platform for the estimation as well as characterization of aggregates over the complete size spectrum (from invisible monomer to visible precipitates). Methods Two mAb samples were incubated at 30°C in different buffer systems of protein A chromatography for observing degradation due to aggregation. The aggregation in these samples was quantified by size exclusion chromatography (SEC), dynamic light scattering (DLS), and micro flow imaging (MFI). Results The results obtained from various characterization tools were analysed in various size ranges - size exclusion chromatography (SEC) (1 nm - 25 nm), dynamic light scattering (DLS) (10 nm - 5 μm), and micro flow imaging (MFI) (2 μm - 300 μm). Since each characterization tool covers a particular size range, data from multiple tools was collected in the “handover” regions to demonstrate accuracy of the platform. Conclusions Based on the observations from the experiments, an analytical platform has been proposed covering the whole size spectrum that would be of utility to those engaged in formulation development as well as other aspects related to stability of biotherapeutic products. Gupta, Surbhi verfasserin aut Rathore, Anurag S. verfasserin aut Enthalten in Pharmaceutical research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1984 36(2019), 11 vom: 28. Aug. (DE-627)325485291 (DE-600)2036232-8 1573-904X nnns volume:36 year:2019 number:11 day:28 month:08 https://dx.doi.org/10.1007/s11095-019-2690-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-PHA SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.38 ASE AR 36 2019 11 28 08 |
spelling |
10.1007/s11095-019-2690-8 doi (DE-627)SPR016586204 (SPR)s11095-019-2690-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.38 bkl Bansal, Rohit verfasserin aut Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To develop an analytical platform for the estimation as well as characterization of aggregates over the complete size spectrum (from invisible monomer to visible precipitates). Methods Two mAb samples were incubated at 30°C in different buffer systems of protein A chromatography for observing degradation due to aggregation. The aggregation in these samples was quantified by size exclusion chromatography (SEC), dynamic light scattering (DLS), and micro flow imaging (MFI). Results The results obtained from various characterization tools were analysed in various size ranges - size exclusion chromatography (SEC) (1 nm - 25 nm), dynamic light scattering (DLS) (10 nm - 5 μm), and micro flow imaging (MFI) (2 μm - 300 μm). Since each characterization tool covers a particular size range, data from multiple tools was collected in the “handover” regions to demonstrate accuracy of the platform. Conclusions Based on the observations from the experiments, an analytical platform has been proposed covering the whole size spectrum that would be of utility to those engaged in formulation development as well as other aspects related to stability of biotherapeutic products. Gupta, Surbhi verfasserin aut Rathore, Anurag S. verfasserin aut Enthalten in Pharmaceutical research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1984 36(2019), 11 vom: 28. Aug. (DE-627)325485291 (DE-600)2036232-8 1573-904X nnns volume:36 year:2019 number:11 day:28 month:08 https://dx.doi.org/10.1007/s11095-019-2690-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-PHA SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.38 ASE AR 36 2019 11 28 08 |
allfields_unstemmed |
10.1007/s11095-019-2690-8 doi (DE-627)SPR016586204 (SPR)s11095-019-2690-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.38 bkl Bansal, Rohit verfasserin aut Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To develop an analytical platform for the estimation as well as characterization of aggregates over the complete size spectrum (from invisible monomer to visible precipitates). Methods Two mAb samples were incubated at 30°C in different buffer systems of protein A chromatography for observing degradation due to aggregation. The aggregation in these samples was quantified by size exclusion chromatography (SEC), dynamic light scattering (DLS), and micro flow imaging (MFI). Results The results obtained from various characterization tools were analysed in various size ranges - size exclusion chromatography (SEC) (1 nm - 25 nm), dynamic light scattering (DLS) (10 nm - 5 μm), and micro flow imaging (MFI) (2 μm - 300 μm). Since each characterization tool covers a particular size range, data from multiple tools was collected in the “handover” regions to demonstrate accuracy of the platform. Conclusions Based on the observations from the experiments, an analytical platform has been proposed covering the whole size spectrum that would be of utility to those engaged in formulation development as well as other aspects related to stability of biotherapeutic products. Gupta, Surbhi verfasserin aut Rathore, Anurag S. verfasserin aut Enthalten in Pharmaceutical research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1984 36(2019), 11 vom: 28. Aug. (DE-627)325485291 (DE-600)2036232-8 1573-904X nnns volume:36 year:2019 number:11 day:28 month:08 https://dx.doi.org/10.1007/s11095-019-2690-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-PHA SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.38 ASE AR 36 2019 11 28 08 |
allfieldsGer |
10.1007/s11095-019-2690-8 doi (DE-627)SPR016586204 (SPR)s11095-019-2690-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.38 bkl Bansal, Rohit verfasserin aut Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To develop an analytical platform for the estimation as well as characterization of aggregates over the complete size spectrum (from invisible monomer to visible precipitates). Methods Two mAb samples were incubated at 30°C in different buffer systems of protein A chromatography for observing degradation due to aggregation. The aggregation in these samples was quantified by size exclusion chromatography (SEC), dynamic light scattering (DLS), and micro flow imaging (MFI). Results The results obtained from various characterization tools were analysed in various size ranges - size exclusion chromatography (SEC) (1 nm - 25 nm), dynamic light scattering (DLS) (10 nm - 5 μm), and micro flow imaging (MFI) (2 μm - 300 μm). Since each characterization tool covers a particular size range, data from multiple tools was collected in the “handover” regions to demonstrate accuracy of the platform. Conclusions Based on the observations from the experiments, an analytical platform has been proposed covering the whole size spectrum that would be of utility to those engaged in formulation development as well as other aspects related to stability of biotherapeutic products. Gupta, Surbhi verfasserin aut Rathore, Anurag S. verfasserin aut Enthalten in Pharmaceutical research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1984 36(2019), 11 vom: 28. Aug. (DE-627)325485291 (DE-600)2036232-8 1573-904X nnns volume:36 year:2019 number:11 day:28 month:08 https://dx.doi.org/10.1007/s11095-019-2690-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-PHA SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.38 ASE AR 36 2019 11 28 08 |
allfieldsSound |
10.1007/s11095-019-2690-8 doi (DE-627)SPR016586204 (SPR)s11095-019-2690-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.38 bkl Bansal, Rohit verfasserin aut Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To develop an analytical platform for the estimation as well as characterization of aggregates over the complete size spectrum (from invisible monomer to visible precipitates). Methods Two mAb samples were incubated at 30°C in different buffer systems of protein A chromatography for observing degradation due to aggregation. The aggregation in these samples was quantified by size exclusion chromatography (SEC), dynamic light scattering (DLS), and micro flow imaging (MFI). Results The results obtained from various characterization tools were analysed in various size ranges - size exclusion chromatography (SEC) (1 nm - 25 nm), dynamic light scattering (DLS) (10 nm - 5 μm), and micro flow imaging (MFI) (2 μm - 300 μm). Since each characterization tool covers a particular size range, data from multiple tools was collected in the “handover” regions to demonstrate accuracy of the platform. Conclusions Based on the observations from the experiments, an analytical platform has been proposed covering the whole size spectrum that would be of utility to those engaged in formulation development as well as other aspects related to stability of biotherapeutic products. Gupta, Surbhi verfasserin aut Rathore, Anurag S. verfasserin aut Enthalten in Pharmaceutical research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1984 36(2019), 11 vom: 28. Aug. (DE-627)325485291 (DE-600)2036232-8 1573-904X nnns volume:36 year:2019 number:11 day:28 month:08 https://dx.doi.org/10.1007/s11095-019-2690-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-PHA SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.38 ASE AR 36 2019 11 28 08 |
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Bansal, Rohit @@aut@@ Gupta, Surbhi @@aut@@ Rathore, Anurag S. @@aut@@ |
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Bansal, Rohit ddc 610 bkl 44.38 Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics |
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Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics |
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Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics |
abstract |
Purpose To develop an analytical platform for the estimation as well as characterization of aggregates over the complete size spectrum (from invisible monomer to visible precipitates). Methods Two mAb samples were incubated at 30°C in different buffer systems of protein A chromatography for observing degradation due to aggregation. The aggregation in these samples was quantified by size exclusion chromatography (SEC), dynamic light scattering (DLS), and micro flow imaging (MFI). Results The results obtained from various characterization tools were analysed in various size ranges - size exclusion chromatography (SEC) (1 nm - 25 nm), dynamic light scattering (DLS) (10 nm - 5 μm), and micro flow imaging (MFI) (2 μm - 300 μm). Since each characterization tool covers a particular size range, data from multiple tools was collected in the “handover” regions to demonstrate accuracy of the platform. Conclusions Based on the observations from the experiments, an analytical platform has been proposed covering the whole size spectrum that would be of utility to those engaged in formulation development as well as other aspects related to stability of biotherapeutic products. |
abstractGer |
Purpose To develop an analytical platform for the estimation as well as characterization of aggregates over the complete size spectrum (from invisible monomer to visible precipitates). Methods Two mAb samples were incubated at 30°C in different buffer systems of protein A chromatography for observing degradation due to aggregation. The aggregation in these samples was quantified by size exclusion chromatography (SEC), dynamic light scattering (DLS), and micro flow imaging (MFI). Results The results obtained from various characterization tools were analysed in various size ranges - size exclusion chromatography (SEC) (1 nm - 25 nm), dynamic light scattering (DLS) (10 nm - 5 μm), and micro flow imaging (MFI) (2 μm - 300 μm). Since each characterization tool covers a particular size range, data from multiple tools was collected in the “handover” regions to demonstrate accuracy of the platform. Conclusions Based on the observations from the experiments, an analytical platform has been proposed covering the whole size spectrum that would be of utility to those engaged in formulation development as well as other aspects related to stability of biotherapeutic products. |
abstract_unstemmed |
Purpose To develop an analytical platform for the estimation as well as characterization of aggregates over the complete size spectrum (from invisible monomer to visible precipitates). Methods Two mAb samples were incubated at 30°C in different buffer systems of protein A chromatography for observing degradation due to aggregation. The aggregation in these samples was quantified by size exclusion chromatography (SEC), dynamic light scattering (DLS), and micro flow imaging (MFI). Results The results obtained from various characterization tools were analysed in various size ranges - size exclusion chromatography (SEC) (1 nm - 25 nm), dynamic light scattering (DLS) (10 nm - 5 μm), and micro flow imaging (MFI) (2 μm - 300 μm). Since each characterization tool covers a particular size range, data from multiple tools was collected in the “handover” regions to demonstrate accuracy of the platform. Conclusions Based on the observations from the experiments, an analytical platform has been proposed covering the whole size spectrum that would be of utility to those engaged in formulation development as well as other aspects related to stability of biotherapeutic products. |
collection_details |
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Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics |
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https://dx.doi.org/10.1007/s11095-019-2690-8 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR016586204</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519204402.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201006s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11095-019-2690-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR016586204</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11095-019-2690-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.38</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bansal, Rohit</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Purpose To develop an analytical platform for the estimation as well as characterization of aggregates over the complete size spectrum (from invisible monomer to visible precipitates). Methods Two mAb samples were incubated at 30°C in different buffer systems of protein A chromatography for observing degradation due to aggregation. The aggregation in these samples was quantified by size exclusion chromatography (SEC), dynamic light scattering (DLS), and micro flow imaging (MFI). Results The results obtained from various characterization tools were analysed in various size ranges - size exclusion chromatography (SEC) (1 nm - 25 nm), dynamic light scattering (DLS) (10 nm - 5 μm), and micro flow imaging (MFI) (2 μm - 300 μm). Since each characterization tool covers a particular size range, data from multiple tools was collected in the “handover” regions to demonstrate accuracy of the platform. Conclusions Based on the observations from the experiments, an analytical platform has been proposed covering the whole size spectrum that would be of utility to those engaged in formulation development as well as other aspects related to stability of biotherapeutic products.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gupta, Surbhi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rathore, Anurag S.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Pharmaceutical research</subfield><subfield code="d">Dordrecht [u.a.] : Springer Science + Business Media B.V, 1984</subfield><subfield code="g">36(2019), 11 vom: 28. Aug.</subfield><subfield code="w">(DE-627)325485291</subfield><subfield code="w">(DE-600)2036232-8</subfield><subfield code="x">1573-904X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:36</subfield><subfield code="g">year:2019</subfield><subfield code="g">number:11</subfield><subfield code="g">day:28</subfield><subfield code="g">month:08</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s11095-019-2690-8</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield 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