2019
DOI: 10.3390/molecules24203804
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Chemometrics Approaches in Forced Degradation Studies of Pharmaceutical Drugs

Abstract: Chemometrics is the chemistry field responsible for planning and extracting the maximum of information of experiments from chemical data using mathematical tools (linear algebra, statistics, and so on). Active pharmaceutical ingredients (APIs) can form impurities when exposed to excipients or environmental variables such as light, high temperatures, acidic or basic conditions, humidity, and oxidative environment. By considering that these impurities can affect the safety and efficacy of the drug product, it is… Show more

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Cited by 20 publications
(10 citation statements)
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References 133 publications
(123 reference statements)
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“…The degradative pathways can be determined based on fragmentation patterns that are observed. After determination of degradant pathways, structure elucidations of degradants are done by synthesizing or isolating methods and further characterized by employing LC-MS, LC-UV, and LC-NMR techniques [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] .…”
Section: Characterisation Of Degradants By Lc-msmentioning
confidence: 99%
“…The degradative pathways can be determined based on fragmentation patterns that are observed. After determination of degradant pathways, structure elucidations of degradants are done by synthesizing or isolating methods and further characterized by employing LC-MS, LC-UV, and LC-NMR techniques [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] .…”
Section: Characterisation Of Degradants By Lc-msmentioning
confidence: 99%
“…U tablici 2 prikazani su okvirni uvjeti koji predstavljaju dobar početak za provedbu prisilne razgradnje. [85][86][87] Koncentracija stresora i vrijeme izlaganja ovise o stabilnosti ispitivanog spoja. Ako je spoj jako nestabilan u određenim uvjetima, potrebno je smanjiti koncentraciju stresora i obrnuto.…”
Section: Studija Prisilne Razgradnjeunclassified
“…Multivariate methods in analytical chemistry enable data reduction, grouping and classification of observations, as well as modeling of relationships that may exist between variables [ 8 ]. The application of chemometric tools such as Principal Component Analysis (PCA) or hierarchical cluster analysis (HCA) has proven to be efficient in obtaining better visualization of data even from low resolution and high noise levels of analytical measurements [ 9 ].…”
Section: Introductionmentioning
confidence: 99%