2016
DOI: 10.1016/j.jpba.2016.05.026
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Development and validation of a selective, sensitive and stability indicating UPLC–MS/MS method for rapid, simultaneous determination of six process related impurities in darunavir drug substance

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Cited by 13 publications
(3 citation statements)
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“…Accuracy indicates that the observed results of an analytical method is compatible with the true concentration of the analyte in the same sample under the same operating conditions and over a short interval of time. Precision and repeatability are suitable indicators of random errors [ 19 ]. Inter and intra-day study was carried out for the precision assessment.…”
Section: Methodsmentioning
confidence: 99%
“…Accuracy indicates that the observed results of an analytical method is compatible with the true concentration of the analyte in the same sample under the same operating conditions and over a short interval of time. Precision and repeatability are suitable indicators of random errors [ 19 ]. Inter and intra-day study was carried out for the precision assessment.…”
Section: Methodsmentioning
confidence: 99%
“…For acidic functional groups that easily loose a proton, negative ionization mode can be applied. Several instruments can nowadays also switch polarity within several tens of milliseconds, making the simultaneous analysis of compounds ionized in different ionization polarity, possible [14][15][16] .…”
Section: Ionizationmentioning
confidence: 99%
“…In accordance with the limit requirements of these impurities, an accurate, specifc, convenient HPLC method was established to determine impurities I-IV, and a highly sensitive and reliable HPLC-MS/MS method was developed successfully for the analysis of impurity V at a 30 ppm level due to the low sensitivity of the UV detector. Te proposed methods were validated in accordance with ICH guidelines [22][23][24][25][26], and the greenness assessment of two methods was evaluated by using AGREE software [27,28]. Te proposed HPLC method and the HPLC-MS/MS method represent favorable protocols in quality control and in-process monitoring during pharmaceutical manufacturing.…”
Section: Introductionmentioning
confidence: 99%