Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

Simple and Accurate HPTLC-Densitometric Method for Assay of Nandrolone Decanoate in Pharmaceutical Formulation

M. Dołowy, A. Pyka-Pająk, J. Jampílek,

. 2019 ; 24 (3) : . [pub] 20190125

Language English Country Switzerland

Document type Journal Article

Grant support
KNW-1-013/K/7/O, KNW-1-057/K/8/O Śląski Uniwersytet Medyczny
APVV-17-0373 Slovak Research and Development Agency

This study reports the development and validation of a new, simple, and accurate high-performance thin-layer chromatography (HPTLC)-densitomeric method for the determination of nandrolone decanoate in a commercially available injection formulation. Chromatographic analysis was performed on glass CN modified silica gel 60F254 plates developed using n-hexane-ethyl acetate in volume ratio 42.5:7.5 as the mobile phase. Densitometric scanning was carried out at the wavelength of 245 nm. This chromatographic system gave compact spot and a symmetrical peak of nandrolone decanoate with retardation factor (RF) value at 0.57 (±0.02). The linearity of this method with the high correlation coefficient of calibration plot ranges from 0.780 to 12.500 μg/spot. The developed method is characterized by good precision (coefficient of variation CV < 2%) and high accuracy close to 100.3% (R = 99.0%). Values of limits of detection and quantification equal to 0.231 and 0.700 μg/spot, respectively, confirm the sensitivity of the developed method. The analysis of the pharmaceutical formulation of nandrolone decanoate indicates drug content of 50.5 mg/mL and 101.0% in relation to the label claim. This is in good agreement with the recommendation of the International Council for Harmonisation (ICH) guidelines as well as the pharmacopoeial requirements. The low CV value (<1%) of nandrolone decanoate content in the tested injection formulation confirms the suitability of the proposed HPTLC-densitometric method for routine control of this compound in examined pharmaceuticals.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc19027866
003      
CZ-PrNML
005      
20190815114637.0
007      
ta
008      
190813s2019 sz f 000 0|eng||
009      
AR
024    7_
$a 10.3390/molecules24030435 $2 doi
035    __
$a (PubMed)30691078
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a sz
100    1_
$a Dołowy, Małgorzata $u School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Medical University of Silesia in Katowice, Jagiellońska 4, 41-200 Sosnowiec, Poland. mdolowy@sum.edu.pl.
245    10
$a Simple and Accurate HPTLC-Densitometric Method for Assay of Nandrolone Decanoate in Pharmaceutical Formulation / $c M. Dołowy, A. Pyka-Pająk, J. Jampílek,
520    9_
$a This study reports the development and validation of a new, simple, and accurate high-performance thin-layer chromatography (HPTLC)-densitomeric method for the determination of nandrolone decanoate in a commercially available injection formulation. Chromatographic analysis was performed on glass CN modified silica gel 60F254 plates developed using n-hexane-ethyl acetate in volume ratio 42.5:7.5 as the mobile phase. Densitometric scanning was carried out at the wavelength of 245 nm. This chromatographic system gave compact spot and a symmetrical peak of nandrolone decanoate with retardation factor (RF) value at 0.57 (±0.02). The linearity of this method with the high correlation coefficient of calibration plot ranges from 0.780 to 12.500 μg/spot. The developed method is characterized by good precision (coefficient of variation CV < 2%) and high accuracy close to 100.3% (R = 99.0%). Values of limits of detection and quantification equal to 0.231 and 0.700 μg/spot, respectively, confirm the sensitivity of the developed method. The analysis of the pharmaceutical formulation of nandrolone decanoate indicates drug content of 50.5 mg/mL and 101.0% in relation to the label claim. This is in good agreement with the recommendation of the International Council for Harmonisation (ICH) guidelines as well as the pharmacopoeial requirements. The low CV value (<1%) of nandrolone decanoate content in the tested injection formulation confirms the suitability of the proposed HPTLC-densitometric method for routine control of this compound in examined pharmaceuticals.
650    12
$a vysokoúčinná kapalinová chromatografie $x metody $x normy $7 D002851
650    12
$a chromatografie na tenké vrstvě $x metody $x normy $7 D002855
650    12
$a denzitometrie $x metody $x normy $7 D003720
650    _2
$a příprava léků $7 D004339
650    _2
$a nandrolon dekanoát $x analýza $7 D000077603
650    _2
$a léčivé přípravky $x analýza $7 D004364
650    _2
$a reprodukovatelnost výsledků $7 D015203
650    _2
$a senzitivita a specificita $7 D012680
655    _2
$a časopisecké články $7 D016428
700    1_
$a Pyka-Pająk, Alina $u School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Medical University of Silesia in Katowice, Jagiellońska 4, 41-200 Sosnowiec, Poland. apyka@sum.edu.pl.
700    1_
$a Jampílek, Josef $u Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Comenius University in Bratislava, Odbojárov 10, 832 32 Bratislava, Slovak Republic. josef.jampilek@gmail.com. Regional Centre of Advanced Technologies and Materials, Palacky University, Slechtitelu 27, 783 71 Olomouc, Czech Republic. josef.jampilek@gmail.com.
773    0_
$w MED00180394 $t Molecules (Basel, Switzerland) $x 1420-3049 $g Roč. 24, č. 3 (2019)
856    41
$u https://pubmed.ncbi.nlm.nih.gov/30691078 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20190813 $b ABA008
991    __
$a 20190815114905 $b ABA008
999    __
$a ok $b bmc $g 1433015 $s 1066326
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2019 $b 24 $c 3 $e 20190125 $i 1420-3049 $m Molecules $n Molecules $x MED00180394
GRA    __
$a KNW-1-013/K/7/O, KNW-1-057/K/8/O $p Śląski Uniwersytet Medyczny
GRA    __
$a APVV-17-0373 $p Slovak Research and Development Agency
LZP    __
$a Pubmed-20190813

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...