About: High sensitivity methods to quantify chloroquine and its metabolite in human blood samples using LC

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About: High sensitivity methods to quantify chloroquine and its metabolite in human blood samples using LC–MS/MS Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	High sensitivity methods to quantify chloroquine and its metabolite in human blood samples using LC–MS/MS
Creator	Chotivanich, Kesinee Day, Nicholas Tarning, Joel Blessborn, Daniel Kaewkhao, Karnrawee Winterberg, Markus
source	PMC
abstract	AIM: Chloroquine is an antimalarial drug used in the treatment of Plasmodium vivax malaria. Three methods to quantify chloroquine and its metabolite in blood matrices were developed and validated. METHODOLOGY & RESULTS: Different high-throughput extraction techniques were used to recover the drugs from whole blood (50 μl), plasma (100 μl) and dried blood spots (15 μl as punched discs) followed by quantification with LC–MS/MS. The intra- and inter-batch precisions were below 15%, and thus meet regulatory acceptance criteria. CONCLUSION: The developed methods demonstrated satisfactory validation performance with high sensitivity and selectivity. The assays used simple and easy to automate extraction techniques. All methods were reliable with robust performance and demonstrated to be suitable to implement into high-throughput routine analysis of clinical pharmacokinetic samples.
has issue date	2019-03-15(xsd:dateTime)
bibo:doi	10.4155/bio-2018-0202
bibo:pmid	30873854
has license	cc-by
sha1sum (hex)	aea4a1902d9636eb02cf2b81fa012249e0800a40
schema:url	https://doi.org/10.4155/bio-2018-0202
resource representing a document's title	High sensitivity methods to quantify chloroquine and its metabolite in human blood samples using LC–MS/MS
has PubMed Central identifier	PMC6562699
has PubMed identifier	30873854
schema:publication	Bioanalysis
resource representing a document's body	covid:aea4a1902d9636eb02cf2b81fa012249e0800a40#body_text
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