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Detection of 14 sulfonate esters impurities of active pharmaceutical ingredients based on GC-MS/MS and LC-MS/MS
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Die LIU1, Xiao-xiao PENG2, Jing-mei FANG2, Fan YANG2, Fang HE2, Min CHEN1, Lan LIN2, *, Guo-wei WANG1, *
Acta Pharmaceutica Sinica | 2024, 59(2) : 424 - 431
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Acta Pharmaceutica Sinica | 2024, 59(2): 424-431
Original Articles
Detection of 14 sulfonate esters impurities of active pharmaceutical ingredients based on GC-MS/MS and LC-MS/MS
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Die LIU1, Xiao-xiao PENG2, Jing-mei FANG2, Fan YANG2, Fang HE2, Min CHEN1, Lan LIN2, *, Guo-wei WANG1, *
Affiliations
  • 1. Southwest University College of Pharmaceutical Sciences, Chongqing 400715, China
  • 2. Porton Fine Chemicals Ltd., Chongqing 400722, China
Published: 2024-02-12 doi: 10.16438/j.0513-4870.2023-0603
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Two methods including gas chromatography tandem mass spectrometry (GC-MS/MS) and high-performance liquid chromatography tandem mass spectrometry (LC-MS/MS) were established to detect common alkyl sulfonates and aryl sulfonates genotoxic impurities. Four alkyl sulfonates and methyl benzenesulfonate were determined by GC-MS/MS using butyl methanesulfonate as the internal standard, the chromatographic column was HP-5MS UI (30 mm × 0.25 mm, 0.25 µm), the carrier gas was helium, the flow rate was 1.0 mL·min-1 in a constant flow mode, the sample inlet temperature was set to 250 ℃, the split ratio was 10∶1, and the initial temperature of the heating program was 80 ℃, maintained for 1 minute, and then increased to 240 ℃ at a heating rate of 30 ℃·min-1 for 2 minutes. The mass spectrometry detector was an electron bombardment ion source (EI source), the data collection condition was multi reaction monitoring mode (MRM), and method validation using the raw material of clinical drug citalopram hydrobromide as a sample. The results showed that the linear range of four alkyl sulfonates and methyl benzenesulfonate were good at 3-50 ng·mL-1 and 9-150 ng·mL-1, with a correlation coefficient of r > 0.999, The spiked recovery was 80%-120%. The detection limits were 1 and 3 ng·mL-1; Ten aryl sulfonates determined by LC-MS/MS, the chromatographic column was CSH Fluoro phenyl (100 mm × 2.1 mm, 1.7 µm), the mobile phase was methanol (B)-5 mmol·L-1 ammonium formate (D), with a flow rate of 0.2 mL·min-1, and gradient elution was performed. The gradient program (T/% B) was set as 0/20, 25/90, 35/90, 42/20. The mass spectrometer detector was electro spray ionization with positive ionization mode (ESI+), the data collection was in dynamic multi reaction monitoring mode (dMRM), and the method was validated using the raw material of the clinical drug citalopram hydrobromide as a sample. The results showed that the linear range of aryl sulfonates were good at 9-2 000 ng·mL-1, 3-100 ng·mL-1 and 0.9-30 ng·mL-1, respectively. The correlation coefficient r > 0.999, the spiked recovery was 80%-120%. The detection limits were 30, 1 and 0.3 ng·mL-1. Two detection methods did not detect potential sulfonate genotoxicity impurities in the above APIs. The established analytical methods are reliable and effective, which can provide reference for drug quality control and detection.

genotoxic impurity  /  sulfonic ester  /  gas chromatograohy mass spectrometry  /  liquid chromatograph mass spectrometry  /  analytical method development
Die LIU, Xiao-xiao PENG, Jing-mei FANG, Fan YANG, Fang HE, Min CHEN, Lan LIN, Guo-wei WANG. Detection of 14 sulfonate esters impurities of active pharmaceutical ingredients based on GC-MS/MS and LC-MS/MS[J]. Acta Pharmaceutica Sinica, 2024 , 59 (2) : 424 -431 . DOI: 10.16438/j.0513-4870.2023-0603
Year 2024 volume 59 Issue 2
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Article Info
doi: 10.16438/j.0513-4870.2023-0603
  • Receive Date:2023-05-10
  • Online Date:2025-11-28
  • Published:2024-02-12
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History
  • Received:2023-05-10
  • Revised:2023-08-30
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Affiliations
    1. Southwest University College of Pharmaceutical Sciences, Chongqing 400715, China
    2. Porton Fine Chemicals Ltd., Chongqing 400722, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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