Svrkota, Bojana

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  • Svrkota, Bojana (5)
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Author's Bibliography

Mixed-mode RP/WCX chromatographic system evaluation using QSRR modelling approach

Svrkota, Bojana; Krmar, Jovana; Protić, Ana; Otašević, Biljana

(University of Mons (Belgium), 2022)

TY  - CONF
AU  - Svrkota, Bojana
AU  - Krmar, Jovana
AU  - Protić, Ana
AU  - Otašević, Biljana
PY  - 2022
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4689
PB  - University of Mons (Belgium)
C3  - 12th International Symposium on Drug Analysis & 32nd International Symposium on Pharmaceutical and Biomedical Analysis, From 11th to 14th September 2022, Mons, Belgium, Abstract book
T1  - Mixed-mode RP/WCX chromatographic system evaluation using QSRR modelling approach
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4689
ER  - 
@conference{
author = "Svrkota, Bojana and Krmar, Jovana and Protić, Ana and Otašević, Biljana",
year = "2022",
publisher = "University of Mons (Belgium)",
journal = "12th International Symposium on Drug Analysis & 32nd International Symposium on Pharmaceutical and Biomedical Analysis, From 11th to 14th September 2022, Mons, Belgium, Abstract book",
title = "Mixed-mode RP/WCX chromatographic system evaluation using QSRR modelling approach",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4689"
}
Svrkota, B., Krmar, J., Protić, A.,& Otašević, B.. (2022). Mixed-mode RP/WCX chromatographic system evaluation using QSRR modelling approach. in 12th International Symposium on Drug Analysis & 32nd International Symposium on Pharmaceutical and Biomedical Analysis, From 11th to 14th September 2022, Mons, Belgium, Abstract book
University of Mons (Belgium)..
https://hdl.handle.net/21.15107/rcub_farfar_4689
Svrkota B, Krmar J, Protić A, Otašević B. Mixed-mode RP/WCX chromatographic system evaluation using QSRR modelling approach. in 12th International Symposium on Drug Analysis & 32nd International Symposium on Pharmaceutical and Biomedical Analysis, From 11th to 14th September 2022, Mons, Belgium, Abstract book. 2022;.
https://hdl.handle.net/21.15107/rcub_farfar_4689 .
Svrkota, Bojana, Krmar, Jovana, Protić, Ana, Otašević, Biljana, "Mixed-mode RP/WCX chromatographic system evaluation using QSRR modelling approach" in 12th International Symposium on Drug Analysis & 32nd International Symposium on Pharmaceutical and Biomedical Analysis, From 11th to 14th September 2022, Mons, Belgium, Abstract book (2022),
https://hdl.handle.net/21.15107/rcub_farfar_4689 .

Robust mixed-mode chromatography method development using Analytical Quality by Design approach for analysis of selected drugs

Svrkota, Bojana; Krmar, Jovana; Protić, Ana; Otašević, Biljana

(Savez farmaceutskih udruženja Srbije (SFUS), 2022)

TY  - CONF
AU  - Svrkota, Bojana
AU  - Krmar, Jovana
AU  - Protić, Ana
AU  - Otašević, Biljana
PY  - 2022
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4524
AB  - Mixed-Mode Liquid Chromatography (MMLC) includes several separation
mechanisms in a single column, which is why MMLC can analyze compounds in a broad
range of polarities and ionization potentials in a single run (1). Acclaim Mixed-Mode WCX-1
column with the ability to expose hydrophobic and weak cation exchange interactions was
thus selected to analyse a challenging mixture of neutral and cationic forms: ergotamine,
mecloxamine, camylofin, caffeine and propyphenazone, used as a fixed combination. MMLC
method was developed in line with Analytical Quality by Design (AQbD) approach implying
the scientifically-based understanding of process properties and risk-based management of
the method life cycle. AQbD refers to pre-definition of the method’s Analytical Target Profile
(ATP) by means of baseline separations within the shortest possible time, as well as
definition of Critical Method Attributes (CMAs) as a measure of method quality and Critical
Method Parameters (CMPs) affecting CMAs (2). Acetonitrile content, pH and acetate buffer
concentration were selected as CMPs since retention mechanism expression in MMLC
strongly depends on the mobile phase characteristics. The dependence of CMAs on CMPs was
revealed following a face-centred central composition design plan of experiments and
accompanying mathematical models, coefficients and standard error values. Design Space in
which ATP is achieved with a high level of reliability (π = 90%), was determined by Monte
Carlo simulations taking error distribution into account. Its margins pointed out to the
working point that assures proper method robustness (pH 5.2, 90 mM acetate buffer solution
and 48% (v/v) of acetonitrile).
AB  - Multimodalna tečna hromatografija (Mixed‐Mode Liquid Chromatography – MMLC)
uključuje nekoliko mehanizama razdvajanja u jednoj koloni, zbog čega se ova tehnika može
koristiti za simultanu analizu jedinjenja širokog opsega polarnosti i jonizacionog potencijala
(1). Acclaim Mixed‐Mode WCX‐1 kolona sa sposobnošću ekspresije hidrofobnih i interakcija
slabe katjonske izmene, je odabrana za analizu izazovne smeše neutralnih i katjonskih oblika
analita: ergotamina, mekloksamina, kamilofina, kofeina i propifenazona, koji se primenjuju u
fiksnoj kombinaciji. MMLC metoda je razvijena u skladu sa pristupom ugradnje kvaliteta kroz
dizajn (Analytical Quality by Design – AQbD) koji podrazumeva naučno zasnovano
razumevanje svojstava procesa i upravljanje životnim ciklusom metode prema riziku. AQbD
se odnosi na unapred definisanje analitičkog ciljanog profila metode (Analytical Target
Profile - ATP) odnosno razdvajanje na baznoj liniji za što kraće vreme, kao i na definisanje
kritičnih osobina metode (Critical Method Attributes - CMA) kao mere kvaliteta metode i
kritičnih parametara metode (Critical Method Parameters - CMP) koji utiču na CMA (2).
Sadržaj acetonitrila, pH i koncentracija acetatnog pufera izabrani su kao CMP, pošto
ekspresija MMLC retencionih mehanizma zavisi od karakteristika mobilne faze. Zavisnost
CMA od CMP definisana je pomoću plana eksperimenata usklađenim sa centralnim
kompozicionim dizajnom, ka centru orijentisanim i pratećim matematičkim modelima,
koeficijentima i vrednostima standardne greške. Prostor dizajna u kome se ATP postiže sa
visokim nivoom pouzdanosti (π = 90%) određen je Monte Karlo simulacijama uzimajuć i u
obzir distribuciju grešaka. Njegov okvir ukazuje na radnu tačku koja obezbeđuje
odgovarajuć u robusnost metode (pH 5,2, 90 mM rastvor acetatnog pufera i 48% (v/v)
acetonitrila).
PB  - Savez farmaceutskih udruženja Srbije (SFUS)
C3  - Arhiv za farmaciju
T1  - Robust mixed-mode chromatography method development using Analytical Quality by Design approach for analysis of selected drugs
T1  - Robustan razvoj metode multimodalne hromatografije primenom principa ugrađivanja kvaliteta kroz dizajn za analizu odabarnih lekova
VL  - 72
IS  - 4 suplement
SP  - S243
EP  - S244
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4524
ER  - 
@conference{
author = "Svrkota, Bojana and Krmar, Jovana and Protić, Ana and Otašević, Biljana",
year = "2022",
abstract = "Mixed-Mode Liquid Chromatography (MMLC) includes several separation
mechanisms in a single column, which is why MMLC can analyze compounds in a broad
range of polarities and ionization potentials in a single run (1). Acclaim Mixed-Mode WCX-1
column with the ability to expose hydrophobic and weak cation exchange interactions was
thus selected to analyse a challenging mixture of neutral and cationic forms: ergotamine,
mecloxamine, camylofin, caffeine and propyphenazone, used as a fixed combination. MMLC
method was developed in line with Analytical Quality by Design (AQbD) approach implying
the scientifically-based understanding of process properties and risk-based management of
the method life cycle. AQbD refers to pre-definition of the method’s Analytical Target Profile
(ATP) by means of baseline separations within the shortest possible time, as well as
definition of Critical Method Attributes (CMAs) as a measure of method quality and Critical
Method Parameters (CMPs) affecting CMAs (2). Acetonitrile content, pH and acetate buffer
concentration were selected as CMPs since retention mechanism expression in MMLC
strongly depends on the mobile phase characteristics. The dependence of CMAs on CMPs was
revealed following a face-centred central composition design plan of experiments and
accompanying mathematical models, coefficients and standard error values. Design Space in
which ATP is achieved with a high level of reliability (π = 90%), was determined by Monte
Carlo simulations taking error distribution into account. Its margins pointed out to the
working point that assures proper method robustness (pH 5.2, 90 mM acetate buffer solution
and 48% (v/v) of acetonitrile)., Multimodalna tečna hromatografija (Mixed‐Mode Liquid Chromatography – MMLC)
uključuje nekoliko mehanizama razdvajanja u jednoj koloni, zbog čega se ova tehnika može
koristiti za simultanu analizu jedinjenja širokog opsega polarnosti i jonizacionog potencijala
(1). Acclaim Mixed‐Mode WCX‐1 kolona sa sposobnošću ekspresije hidrofobnih i interakcija
slabe katjonske izmene, je odabrana za analizu izazovne smeše neutralnih i katjonskih oblika
analita: ergotamina, mekloksamina, kamilofina, kofeina i propifenazona, koji se primenjuju u
fiksnoj kombinaciji. MMLC metoda je razvijena u skladu sa pristupom ugradnje kvaliteta kroz
dizajn (Analytical Quality by Design – AQbD) koji podrazumeva naučno zasnovano
razumevanje svojstava procesa i upravljanje životnim ciklusom metode prema riziku. AQbD
se odnosi na unapred definisanje analitičkog ciljanog profila metode (Analytical Target
Profile - ATP) odnosno razdvajanje na baznoj liniji za što kraće vreme, kao i na definisanje
kritičnih osobina metode (Critical Method Attributes - CMA) kao mere kvaliteta metode i
kritičnih parametara metode (Critical Method Parameters - CMP) koji utiču na CMA (2).
Sadržaj acetonitrila, pH i koncentracija acetatnog pufera izabrani su kao CMP, pošto
ekspresija MMLC retencionih mehanizma zavisi od karakteristika mobilne faze. Zavisnost
CMA od CMP definisana je pomoću plana eksperimenata usklađenim sa centralnim
kompozicionim dizajnom, ka centru orijentisanim i pratećim matematičkim modelima,
koeficijentima i vrednostima standardne greške. Prostor dizajna u kome se ATP postiže sa
visokim nivoom pouzdanosti (π = 90%) određen je Monte Karlo simulacijama uzimajuć i u
obzir distribuciju grešaka. Njegov okvir ukazuje na radnu tačku koja obezbeđuje
odgovarajuć u robusnost metode (pH 5,2, 90 mM rastvor acetatnog pufera i 48% (v/v)
acetonitrila).",
publisher = "Savez farmaceutskih udruženja Srbije (SFUS)",
journal = "Arhiv za farmaciju",
title = "Robust mixed-mode chromatography method development using Analytical Quality by Design approach for analysis of selected drugs, Robustan razvoj metode multimodalne hromatografije primenom principa ugrađivanja kvaliteta kroz dizajn za analizu odabarnih lekova",
volume = "72",
number = "4 suplement",
pages = "S243-S244",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4524"
}
Svrkota, B., Krmar, J., Protić, A.,& Otašević, B.. (2022). Robust mixed-mode chromatography method development using Analytical Quality by Design approach for analysis of selected drugs. in Arhiv za farmaciju
Savez farmaceutskih udruženja Srbije (SFUS)., 72(4 suplement), S243-S244.
https://hdl.handle.net/21.15107/rcub_farfar_4524
Svrkota B, Krmar J, Protić A, Otašević B. Robust mixed-mode chromatography method development using Analytical Quality by Design approach for analysis of selected drugs. in Arhiv za farmaciju. 2022;72(4 suplement):S243-S244.
https://hdl.handle.net/21.15107/rcub_farfar_4524 .
Svrkota, Bojana, Krmar, Jovana, Protić, Ana, Otašević, Biljana, "Robust mixed-mode chromatography method development using Analytical Quality by Design approach for analysis of selected drugs" in Arhiv za farmaciju, 72, no. 4 suplement (2022):S243-S244,
https://hdl.handle.net/21.15107/rcub_farfar_4524 .

Optimization of mixed-mode HPLC method intended for analysis of adrenergic drugs

Svrkota, Bojana; Krmar, Jovana; Protić, Ana; Zečević, Mira; Otašević, Biljana

(Aristotle University of Thessaloniki, 2021)

TY  - CONF
AU  - Svrkota, Bojana
AU  - Krmar, Jovana
AU  - Protić, Ana
AU  - Zečević, Mira
AU  - Otašević, Biljana
PY  - 2021
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4697
AB  - One of widely used drug group refers to drugs that act through adrenergic system. In following
research, the intent was to develop High Performance Liquid Chromatography (HPLC) method for
separation of adrenergic drugs. Therefore, selected mixture of analytes contained bisoprolol (BP),
fenoterole (FT), doxazosin (DOX), tetrahydrazoline (TH) and lofexidine (LOF). One of the
advantages of this method reflects in expanding knowledge about the analytical behaviour of
lofexidine, which is limited. Since all of selected analytes are basic in nature, mixed-mode column,
which includes reverse phase (RP) and weak cation exchange (WCX) interactions, was considered as
adequate for this HPLC analysis. The pronunciation one of two separation mechanisms depends on
mobile phase content and pH, and as a consequence has the potential of selectivity modulation [1].
Analyses were performed on HPLC Thermo Acclaim Mixed Mode WCX-1 (3 μm, 2.1 x 150 mm)
column. During screening phase, factors of significant influence on cationic analytes behaviour were
determinated. For that reason, column temperature (30-38°C) and mobile phase composition
parameters (acetonitrile content (30-50% (v/v)), pH (3.8-5.6) and ionic strength (20-40 mM) of
aqueous part of mobile phase) were selected for optimization. Design of Experiments (DoE) was used
for simultaneous optimization of selected factors. Experimental plan was in line with face-centered
Central Composite Design. Optimization goals were set in order to adequately separate all critical
peak pairs, and execute the analysis in reasonable time. Since selectivity in mixed-mode HPLC can
be governed through mobile phase content, selectivity factor (α) values of critical peak pairs were set
as optimization goals (αBP/FT, αTH/BP, αLOF/DOX > 1.2). The retention factor of last eluting analyte (kDOX)
was desired not to be greater than 10, in order to assure the rational analysis time. Experimental plan
and mathematical models were obtained with Design-Expert 7.0.0 software. Obtained models were
statistically evaluated (R2, pred. R2 and adj. R2 > 0.99). The most pronounced effect on followed
responses had the organic solvent content, whose increase lead to αTH/BP
enhancing, and had the
opposite effect on αBP/FT, αLOF/DOX and kDOX. Higher ionic strength corresponded to better separation
of BP from both FT and TH. This can be assigned to competitive behaviour between analytes and
ions present in mobile phase [2]. Time analysis shortening resulted as a consequence of higher values
of organic solvent, ionic strength and temperature. However, mobile phase pH had the opposite effect,
which can be related to more expressed cationic interactions and greater retention of basic analytes
[2].
Taking into account effects of all factors, and according to generated Derringer’s desirability function
for multiobjective decision making, the values of the factors that give the optimal responses are
selected to be 44% of acetonitrile, ionic strength 36 mM, temperature of 38°C and mobile phase pH
of 5.1.
PB  - Aristotle University of Thessaloniki
PB  - National Technical University of Athens
C3  - IMA-2021, 12 International Conference on Instrumental Methods of Analysis, Modern Trends and Applications, 20-23 September 2021, Virtual event
T1  - Optimization of mixed-mode HPLC method intended for analysis of adrenergic drugs
SP  - 119
EP  - 119
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4697
ER  - 
@conference{
author = "Svrkota, Bojana and Krmar, Jovana and Protić, Ana and Zečević, Mira and Otašević, Biljana",
year = "2021",
abstract = "One of widely used drug group refers to drugs that act through adrenergic system. In following
research, the intent was to develop High Performance Liquid Chromatography (HPLC) method for
separation of adrenergic drugs. Therefore, selected mixture of analytes contained bisoprolol (BP),
fenoterole (FT), doxazosin (DOX), tetrahydrazoline (TH) and lofexidine (LOF). One of the
advantages of this method reflects in expanding knowledge about the analytical behaviour of
lofexidine, which is limited. Since all of selected analytes are basic in nature, mixed-mode column,
which includes reverse phase (RP) and weak cation exchange (WCX) interactions, was considered as
adequate for this HPLC analysis. The pronunciation one of two separation mechanisms depends on
mobile phase content and pH, and as a consequence has the potential of selectivity modulation [1].
Analyses were performed on HPLC Thermo Acclaim Mixed Mode WCX-1 (3 μm, 2.1 x 150 mm)
column. During screening phase, factors of significant influence on cationic analytes behaviour were
determinated. For that reason, column temperature (30-38°C) and mobile phase composition
parameters (acetonitrile content (30-50% (v/v)), pH (3.8-5.6) and ionic strength (20-40 mM) of
aqueous part of mobile phase) were selected for optimization. Design of Experiments (DoE) was used
for simultaneous optimization of selected factors. Experimental plan was in line with face-centered
Central Composite Design. Optimization goals were set in order to adequately separate all critical
peak pairs, and execute the analysis in reasonable time. Since selectivity in mixed-mode HPLC can
be governed through mobile phase content, selectivity factor (α) values of critical peak pairs were set
as optimization goals (αBP/FT, αTH/BP, αLOF/DOX > 1.2). The retention factor of last eluting analyte (kDOX)
was desired not to be greater than 10, in order to assure the rational analysis time. Experimental plan
and mathematical models were obtained with Design-Expert 7.0.0 software. Obtained models were
statistically evaluated (R2, pred. R2 and adj. R2 > 0.99). The most pronounced effect on followed
responses had the organic solvent content, whose increase lead to αTH/BP
enhancing, and had the
opposite effect on αBP/FT, αLOF/DOX and kDOX. Higher ionic strength corresponded to better separation
of BP from both FT and TH. This can be assigned to competitive behaviour between analytes and
ions present in mobile phase [2]. Time analysis shortening resulted as a consequence of higher values
of organic solvent, ionic strength and temperature. However, mobile phase pH had the opposite effect,
which can be related to more expressed cationic interactions and greater retention of basic analytes
[2].
Taking into account effects of all factors, and according to generated Derringer’s desirability function
for multiobjective decision making, the values of the factors that give the optimal responses are
selected to be 44% of acetonitrile, ionic strength 36 mM, temperature of 38°C and mobile phase pH
of 5.1.",
publisher = "Aristotle University of Thessaloniki, National Technical University of Athens",
journal = "IMA-2021, 12 International Conference on Instrumental Methods of Analysis, Modern Trends and Applications, 20-23 September 2021, Virtual event",
title = "Optimization of mixed-mode HPLC method intended for analysis of adrenergic drugs",
pages = "119-119",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4697"
}
Svrkota, B., Krmar, J., Protić, A., Zečević, M.,& Otašević, B.. (2021). Optimization of mixed-mode HPLC method intended for analysis of adrenergic drugs. in IMA-2021, 12 International Conference on Instrumental Methods of Analysis, Modern Trends and Applications, 20-23 September 2021, Virtual event
Aristotle University of Thessaloniki., 119-119.
https://hdl.handle.net/21.15107/rcub_farfar_4697
Svrkota B, Krmar J, Protić A, Zečević M, Otašević B. Optimization of mixed-mode HPLC method intended for analysis of adrenergic drugs. in IMA-2021, 12 International Conference on Instrumental Methods of Analysis, Modern Trends and Applications, 20-23 September 2021, Virtual event. 2021;:119-119.
https://hdl.handle.net/21.15107/rcub_farfar_4697 .
Svrkota, Bojana, Krmar, Jovana, Protić, Ana, Zečević, Mira, Otašević, Biljana, "Optimization of mixed-mode HPLC method intended for analysis of adrenergic drugs" in IMA-2021, 12 International Conference on Instrumental Methods of Analysis, Modern Trends and Applications, 20-23 September 2021, Virtual event (2021):119-119,
https://hdl.handle.net/21.15107/rcub_farfar_4697 .

Influence of charged aerosol detector parameters on the response of chosen analytes in the mixed‐mode chromatography system

Krmar, Jovana; Svrkota, Bojana; Đajić, Nevena; Protić, Ana; Otašević, Biljana

(Savez farmaceutskih udruženja Srbije (SFUS), 2021)

TY  - CONF
AU  - Krmar, Jovana
AU  - Svrkota, Bojana
AU  - Đajić, Nevena
AU  - Protić, Ana
AU  - Otašević, Biljana
PY  - 2021
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4679
AB  - With respect to significant market presence (50%), the analysis of pharmaceuticals containing
counterions is a crucial component of the drug development life cycle, quality control and lot release
processes (1). Mixed-Mode Chromatography (MMC) offers the ability to simultaneously separate
cationic and anionic species within a single run, streamlining the laboratory processes (2). However,
the detection of typical counterions leaves analysts little room for maneuver. In recent years, the
counterions are efficiently detected with the help of Charged Aerosol Detector (CAD) that generates a
signal independent of the chemical structure (3). In this regard, the use of MMC-CAD hyphenated
technique rationalizes the number of individual analytical activities required for analyte and
counterion testing, causes no resource depletion and ultimately supports the concept of sustainability
in contemporary drug analysis. In this paper, the influence of the CAD parameters on the response of
diclofenac potassium and tramadol hydrochloride was studied performing systematic variations. The
analyses were carried out on Acclaim™ Mixed-mode WCX-1 (2.1 x 150 nm, 3 μm) column that provides
both hydrophobic reversed-phase and weak cation-exchange properties. Satisfactory separation of the
active pharmaceutical ingredients and their counterions was achieved using a mixture of 90 mM
acetate buffer at pH 5 (A) and acetonitrile (B). The isocratic elution (40% B) was performed at a flow
rate of 0.4 mL/min. Based on preliminary experiments, the following variables were identified as
significant and, thus, tested at the listed values: evaporation temperature (35ºC and 50ºC), filter
constant (1 s, 5 s and 10 s) and power function value (0.8, 1.0 and 1.2). The results showed that the
evaporation temperature had a positive impact on the signal-to-noise (S/N) ratios. On the other hand,
the peak area and the peak height decreased significantly upon raising the temperature. This finding
pointed out a strong need for fine tuning of mentioned parameter with respect to the analytes’
volatility. The increase in the value of the filter constant led to a baseline smoothing as well as peak
broadening. The filter constant set at 5 s resulted in the largest S/N ratios. The power function value,
which directly modified the CAD signal, exhibited an obvious negative effect toward the peak area. In
light of the above, optimal CAD detection of diclofenac, tramadol, potassium and chlorine was achieved
at the following settings: filter constant 5 s, power function value 0.8 and evaporation temperature
35ºC
AB  - S obzirom na veliku tržišnu zastupljenost farmaceutskih proizvoda koji sadrže kontra-
jone (50%), analiza istih ključna je komponenta procesa razvoja leka, kontrole kvaliteta i
puštanje serije leka u promet (1). Multimodalna hromatografija (eng. Mixed‐Mode
Chromatography, MMC) nudi moguć nost istovremene separacije katjonskih i anjonskih vrsta
na jednoj koloni, pojednostavljujući time laboratorijske procese (2). Međutim, izbor tehnika
za detekciju tipičnih kontra-jona veoma je sužen. Poslednjih godina, kontra-joni efikasno se
detektuju uz pomoć detektora naelektrisanja u aerosolu (eng. Charged Aerosol Detector,
CAD) koji generiše signal nezavisan od hemijske strukture (3). S navedenim u vezi, smatra se
da upotreba MMC-CAD tehnike racionalizuje broj pojedinačnih analitičkih aktivnosti
potrebnih za kontrolu kvaliteta analita i kontra-jona, smanjuje iscrpljivanje resursa i time
podržava koncept održivosti u domenu savremene analitike lekova. U ovom radu proučavan
je uticaj sistemskog variranja parametara CAD detektora na odgovor diklofenak-kalijuma i
tramadol-hidrohlorida. Hromatografkse analize izvedene su na Acclaim ™ Mixed‐mode WCX‐1
(2,1 x 150 nm, 3 μm) koloni koja kombinuje hidrofobne reverzno-fazne i mehanizme slabe
katjonske izmene. Zadovoljavajuće razdvajanje aktivnih farmaceutskih supstanci i njihovih
kontra-jona postignuto je upotrebom 90 mM acetatnog pufera pri pH 5 (A) i acetonitrila (B).
Korišćeno je izokratsko eluiranje mobilne faze (40% B), pri protoku od 0,4 mL/min. Na
osnovu preliminarnih eksperimenata, sledeć i faktori identifikovani su kao značajni, te su
testirani pri navedenim vrednostima: temperatura isparavanja (35ºC i 50ºC), konstanta
filtera (1 s, 5 s i 10 s) i vrednost stepene funkcije (0,8, 1,0 i 1,2). Rezultati su pokazali da je
temperatura isparavanja imala pozitivan efekat na odnos signal/šum (eng. signal‐to‐noise,
S/N). S druge strane, visina i površina pika značajno su se smanjili pri poveć anju
temperature. Ovaj nalaz ukazao je na snažnu potrebu za finim podešavanjem pomenutog
parametra imajući u vidu isparljivost analita. Poveć anje vrednosti konstante filtera dovelo je
do boljeg izgleda bazne linije, ali i do širenja pikova. Konstanta filtera postavljena na 5 s
rezultirala je najveć im vrednostima odnosa S/N. Vrednost stepene funkcije, koja je direktno
modifikovala CAD signal, pokazala je očigledan negativan efekat na površinu pika. U svetlu
eksperimentalnih nalaza, optimalna CAD detekcija diklofenaka, tramadola, kalijuma i hlora
postignuta je pri postavkama: konstanta filtera 5 s, vrednost funkcije snage 0,8 i temperatura
isparavanja 35ºC.
PB  - Savez farmaceutskih udruženja Srbije (SFUS)
C3  - Arhiv za farmaciju
T1  - Influence of charged aerosol detector parameters on the response of chosen analytes in the mixed‐mode chromatography system
T1  - Uticaj parametara detektora naelektirsanja u aerosolu na odgovore odabranih analita u sistemu multimodalne hromatografije
VL  - 71
IS  - 5 suplement
SP  - S122
EP  - S123
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4679
ER  - 
@conference{
author = "Krmar, Jovana and Svrkota, Bojana and Đajić, Nevena and Protić, Ana and Otašević, Biljana",
year = "2021",
abstract = "With respect to significant market presence (50%), the analysis of pharmaceuticals containing
counterions is a crucial component of the drug development life cycle, quality control and lot release
processes (1). Mixed-Mode Chromatography (MMC) offers the ability to simultaneously separate
cationic and anionic species within a single run, streamlining the laboratory processes (2). However,
the detection of typical counterions leaves analysts little room for maneuver. In recent years, the
counterions are efficiently detected with the help of Charged Aerosol Detector (CAD) that generates a
signal independent of the chemical structure (3). In this regard, the use of MMC-CAD hyphenated
technique rationalizes the number of individual analytical activities required for analyte and
counterion testing, causes no resource depletion and ultimately supports the concept of sustainability
in contemporary drug analysis. In this paper, the influence of the CAD parameters on the response of
diclofenac potassium and tramadol hydrochloride was studied performing systematic variations. The
analyses were carried out on Acclaim™ Mixed-mode WCX-1 (2.1 x 150 nm, 3 μm) column that provides
both hydrophobic reversed-phase and weak cation-exchange properties. Satisfactory separation of the
active pharmaceutical ingredients and their counterions was achieved using a mixture of 90 mM
acetate buffer at pH 5 (A) and acetonitrile (B). The isocratic elution (40% B) was performed at a flow
rate of 0.4 mL/min. Based on preliminary experiments, the following variables were identified as
significant and, thus, tested at the listed values: evaporation temperature (35ºC and 50ºC), filter
constant (1 s, 5 s and 10 s) and power function value (0.8, 1.0 and 1.2). The results showed that the
evaporation temperature had a positive impact on the signal-to-noise (S/N) ratios. On the other hand,
the peak area and the peak height decreased significantly upon raising the temperature. This finding
pointed out a strong need for fine tuning of mentioned parameter with respect to the analytes’
volatility. The increase in the value of the filter constant led to a baseline smoothing as well as peak
broadening. The filter constant set at 5 s resulted in the largest S/N ratios. The power function value,
which directly modified the CAD signal, exhibited an obvious negative effect toward the peak area. In
light of the above, optimal CAD detection of diclofenac, tramadol, potassium and chlorine was achieved
at the following settings: filter constant 5 s, power function value 0.8 and evaporation temperature
35ºC, S obzirom na veliku tržišnu zastupljenost farmaceutskih proizvoda koji sadrže kontra-
jone (50%), analiza istih ključna je komponenta procesa razvoja leka, kontrole kvaliteta i
puštanje serije leka u promet (1). Multimodalna hromatografija (eng. Mixed‐Mode
Chromatography, MMC) nudi moguć nost istovremene separacije katjonskih i anjonskih vrsta
na jednoj koloni, pojednostavljujući time laboratorijske procese (2). Međutim, izbor tehnika
za detekciju tipičnih kontra-jona veoma je sužen. Poslednjih godina, kontra-joni efikasno se
detektuju uz pomoć detektora naelektrisanja u aerosolu (eng. Charged Aerosol Detector,
CAD) koji generiše signal nezavisan od hemijske strukture (3). S navedenim u vezi, smatra se
da upotreba MMC-CAD tehnike racionalizuje broj pojedinačnih analitičkih aktivnosti
potrebnih za kontrolu kvaliteta analita i kontra-jona, smanjuje iscrpljivanje resursa i time
podržava koncept održivosti u domenu savremene analitike lekova. U ovom radu proučavan
je uticaj sistemskog variranja parametara CAD detektora na odgovor diklofenak-kalijuma i
tramadol-hidrohlorida. Hromatografkse analize izvedene su na Acclaim ™ Mixed‐mode WCX‐1
(2,1 x 150 nm, 3 μm) koloni koja kombinuje hidrofobne reverzno-fazne i mehanizme slabe
katjonske izmene. Zadovoljavajuće razdvajanje aktivnih farmaceutskih supstanci i njihovih
kontra-jona postignuto je upotrebom 90 mM acetatnog pufera pri pH 5 (A) i acetonitrila (B).
Korišćeno je izokratsko eluiranje mobilne faze (40% B), pri protoku od 0,4 mL/min. Na
osnovu preliminarnih eksperimenata, sledeć i faktori identifikovani su kao značajni, te su
testirani pri navedenim vrednostima: temperatura isparavanja (35ºC i 50ºC), konstanta
filtera (1 s, 5 s i 10 s) i vrednost stepene funkcije (0,8, 1,0 i 1,2). Rezultati su pokazali da je
temperatura isparavanja imala pozitivan efekat na odnos signal/šum (eng. signal‐to‐noise,
S/N). S druge strane, visina i površina pika značajno su se smanjili pri poveć anju
temperature. Ovaj nalaz ukazao je na snažnu potrebu za finim podešavanjem pomenutog
parametra imajući u vidu isparljivost analita. Poveć anje vrednosti konstante filtera dovelo je
do boljeg izgleda bazne linije, ali i do širenja pikova. Konstanta filtera postavljena na 5 s
rezultirala je najveć im vrednostima odnosa S/N. Vrednost stepene funkcije, koja je direktno
modifikovala CAD signal, pokazala je očigledan negativan efekat na površinu pika. U svetlu
eksperimentalnih nalaza, optimalna CAD detekcija diklofenaka, tramadola, kalijuma i hlora
postignuta je pri postavkama: konstanta filtera 5 s, vrednost funkcije snage 0,8 i temperatura
isparavanja 35ºC.",
publisher = "Savez farmaceutskih udruženja Srbije (SFUS)",
journal = "Arhiv za farmaciju",
title = "Influence of charged aerosol detector parameters on the response of chosen analytes in the mixed‐mode chromatography system, Uticaj parametara detektora naelektirsanja u aerosolu na odgovore odabranih analita u sistemu multimodalne hromatografije",
volume = "71",
number = "5 suplement",
pages = "S122-S123",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4679"
}
Krmar, J., Svrkota, B., Đajić, N., Protić, A.,& Otašević, B.. (2021). Influence of charged aerosol detector parameters on the response of chosen analytes in the mixed‐mode chromatography system. in Arhiv za farmaciju
Savez farmaceutskih udruženja Srbije (SFUS)., 71(5 suplement), S122-S123.
https://hdl.handle.net/21.15107/rcub_farfar_4679
Krmar J, Svrkota B, Đajić N, Protić A, Otašević B. Influence of charged aerosol detector parameters on the response of chosen analytes in the mixed‐mode chromatography system. in Arhiv za farmaciju. 2021;71(5 suplement):S122-S123.
https://hdl.handle.net/21.15107/rcub_farfar_4679 .
Krmar, Jovana, Svrkota, Bojana, Đajić, Nevena, Protić, Ana, Otašević, Biljana, "Influence of charged aerosol detector parameters on the response of chosen analytes in the mixed‐mode chromatography system" in Arhiv za farmaciju, 71, no. 5 suplement (2021):S122-S123,
https://hdl.handle.net/21.15107/rcub_farfar_4679 .

Building QSRR model for RP/WCX HPLC method developmnet

Svrkota, Bojana; Krmar, Jovana; Protić, Ana; Otašević, Biljana

(Savez farmaceutskih udruženja Srbije (SFUS), 2021)

TY  - CONF
AU  - Svrkota, Bojana
AU  - Krmar, Jovana
AU  - Protić, Ana
AU  - Otašević, Biljana
PY  - 2021
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4678
AB  - Reverse-phase high-performance liquid chromatography (RP-HPLC) is most common in
pharmaceutical analysis and requires significant consumption of toxic mobile phase. Therefore, more
eco-friendly solutions are preferred (1). When it comes to complex samples, RP-HPLC, due to inability
to separate highly polar and charged analytes, often requires multiple unimodal or two-dimensional
HPLC analyzes. The development of mixed-mode liquid chromatography (MMLC), where multiple
separation modalities are incorporated into a single stationary phase, allows the separation of complex
samples in a single run. Numerous factors affect MMLC separation, which makes method development
demanding and limits their practical application (2). Building predictive mathematical models, such as
Quantitative structure-retention relationship (QSRR), could improve method development. QSRR links
the molecules’ retention behavior with their physicochemical properties (molecular descriptors (MD)),
which allows retention behavior prediction of untested analytes. Including experimental parameter
values in the QSRR extends the predictability of the model to entire experimental space (3). For model
development purposes, experiments were performed on Thermo’s Acclaim Mixed-Mode WCX-1 (3 μm,
2.1 x 150 mm) column which combines hydrophobic and weak cation exchange (WCX) interactions.
Small diameter column agrees with low mobile phase flow rate (400 μl/min). Mobile phase
composition (acetonitrile content (30 – 50 % (v/v)), pH (3.8 - 5.6) and ionic strength (20 - 40 mM) of
acetic buffer) and column temperature (30 – 38 °C) were varied according to face-centered central
composite design. Retention factor of 33 pharmaceuticals of different pharmacological and ionization
properties were monitored. MDs were calculated using AlvaDesc software. RapidMiner software was
used for obtaining QSRR models. Several machine learning algorithms were considered and the most
informative (gradient boosted trees (GBT) and bagging neural network (BNN)) were selected. Models
were built upon data of 30 analytes, and the remaining three (anion, cation, neutral) were used as a test
set. The most influential MDs for BNN were chosen by forward selection, contrary to GBT which did not
require preselection. For internal model evaluation 10-fold cross-validation was applied, while external
was performed with a test set. Models were compared based on the relative mean square error (RMSE)
of the test set. The BNN (RMSE = 0.104; R2 = 0.976) model outperformed GBT (RMSE = 0.122; R2 =
0.963). The obtained QSRR models showed good potential to predict the retention behavior of
molecules of different ionization abilities in the RP/WCX system. This could improve the development
of MMLC methods and make them more accessible for practical use.
AB  - U farmaceutskim analizama najzastupljenija je reverzno-fazna tečna hromatografija
visokih performansi (reverse‐phase high‐performance liquid chromatography (RP-HPLC))
koja iziskuje značajnu potrošnju mobilne faze toksične prirode. Iz tog razloga, teži se
ekološki prihvatljivijim rešenjima (1). Kada su u pitanju kompleksne smeše uzorka, RP-HPLC
zbog nemogućnosti sparacije visoko polarnih i naelektrisanih analita, često zahteva više
unimodalnih ili dvodimenzionalne HPLC analize. Razvoj multimodalne tečne hromatografije
(mixed‐mode liquid chromatography (MMLC)) koja podrazumeva više separacionih
modaliteta inkorporiranih u jednu stacionarnu fazu, omogućava razdvajanje složenih uzorka
jedinstvenom analizom. Brojni faktori utiču na MMLC separaciju, što razvoj metoda čini
zahtevnim i ograničava im praktičnu primenu (2). Izgradnja prediktivnih matematičkih
modela, kao što su modeli kvantitativnog odnos strukture i retencionog ponašanja
(Quantitative structure‐retention relationship (QSRR)), može ubrzati razvoj metode. QSRR
povezuje fizičko-hemijska svojstva (molekulski deskriptori (MD)) sa retencionim
ponašanjem molekula, što omogućava predviđanje retencionog ponašanja neispitanih
analita. Uključivanje vrednosti eksperimentalnih parametara u QSRR, proširuje prediktivnost
modela na ceo eksperimentalni prostor (3). Podaci o retencionom ponašanju za potrebe
razvoja QSRR modela, dobijeni su upotrebom Thermo Acclaim Mixed‐Mode WCX‐1 (3 μm;
2,1x150 mm) kolone koja uključuje hirdrofobne i interakcije slabe katjonske izmene (weak
cation exchange (WCX)). Malim prečnikom kolone omoguć en je nizak protok i utrošak
mobilne faze (400 μl/min). Sastav mobilne faze (udeo ACN (30 – 50 % (v/v)), pH (3,8 – 5,6) i
jonska jačina (20 – 40 mM) acetatnog pufera) i temperatura kolone (30 – 38 °C) menjani su u
skladu sa centralnim kompozicionim dizajnom – ka centru orijentisanim. Praćen je
retencioni faktor 33 farmaceutska jedinjenja različitih farmakoloških i jonizacionih osobina.
MD su računati AlvaDesc softverom. Za izgradnju QSRR modela RapidMiner softverom
razmatrana je nekolicina algoritama mašinskog učenja, a odabrani su najinformativniji
(gradient boosted trees (GBT) i bagging neural networks (BNN)). Modeli su građeni na osnovu
podataka za 30 analita, dok su preostala tri (anjon, katjon, neutralni) odabrani za test set.
Selekcijom unapred odabrani su najznačajniji MD za izgradnju BNN, za razliku od GBT koji ne
zahteva preselekciju MD. Interna procena modela vršena je desetostrukom unakrsnom
validacijom (10‐fold cross‐validation), dok je eksterna vršena test setom podataka. Modeli su
upoređeni na osnovu relativne srednje kvadratne greške (RMSE) test seta. BNN (RMSE =
0,104; R 2 = 0,976) se pokazao boljim u poređenju sa GBT (RMSE = 0,112; R 2 = 0,963).
Dobijeni QSRR modeli pokazali su dobru sposobnost predviđanja retencionog ponašanja
molekula različitih jonizacionih sposobnosti u RP/WCX sistemu. Tako bi mogao da se
unapredi razvoj MMLC metoda i učini ih pristupačnijim za praktičnu upotrebu.
PB  - Savez farmaceutskih udruženja Srbije (SFUS)
C3  - Arhiv za farmaciju
T1  - Building QSRR model for RP/WCX HPLC method developmnet
T1  - Izgradnja QSRR modela za razvoj RP/WCX HPLC metode
VL  - 71
IS  - 5 suplement
SP  - S120
EP  - S121
UR  - https://hdl.handle.net/21.15107/rcub_farfar_4678
ER  - 
@conference{
author = "Svrkota, Bojana and Krmar, Jovana and Protić, Ana and Otašević, Biljana",
year = "2021",
abstract = "Reverse-phase high-performance liquid chromatography (RP-HPLC) is most common in
pharmaceutical analysis and requires significant consumption of toxic mobile phase. Therefore, more
eco-friendly solutions are preferred (1). When it comes to complex samples, RP-HPLC, due to inability
to separate highly polar and charged analytes, often requires multiple unimodal or two-dimensional
HPLC analyzes. The development of mixed-mode liquid chromatography (MMLC), where multiple
separation modalities are incorporated into a single stationary phase, allows the separation of complex
samples in a single run. Numerous factors affect MMLC separation, which makes method development
demanding and limits their practical application (2). Building predictive mathematical models, such as
Quantitative structure-retention relationship (QSRR), could improve method development. QSRR links
the molecules’ retention behavior with their physicochemical properties (molecular descriptors (MD)),
which allows retention behavior prediction of untested analytes. Including experimental parameter
values in the QSRR extends the predictability of the model to entire experimental space (3). For model
development purposes, experiments were performed on Thermo’s Acclaim Mixed-Mode WCX-1 (3 μm,
2.1 x 150 mm) column which combines hydrophobic and weak cation exchange (WCX) interactions.
Small diameter column agrees with low mobile phase flow rate (400 μl/min). Mobile phase
composition (acetonitrile content (30 – 50 % (v/v)), pH (3.8 - 5.6) and ionic strength (20 - 40 mM) of
acetic buffer) and column temperature (30 – 38 °C) were varied according to face-centered central
composite design. Retention factor of 33 pharmaceuticals of different pharmacological and ionization
properties were monitored. MDs were calculated using AlvaDesc software. RapidMiner software was
used for obtaining QSRR models. Several machine learning algorithms were considered and the most
informative (gradient boosted trees (GBT) and bagging neural network (BNN)) were selected. Models
were built upon data of 30 analytes, and the remaining three (anion, cation, neutral) were used as a test
set. The most influential MDs for BNN were chosen by forward selection, contrary to GBT which did not
require preselection. For internal model evaluation 10-fold cross-validation was applied, while external
was performed with a test set. Models were compared based on the relative mean square error (RMSE)
of the test set. The BNN (RMSE = 0.104; R2 = 0.976) model outperformed GBT (RMSE = 0.122; R2 =
0.963). The obtained QSRR models showed good potential to predict the retention behavior of
molecules of different ionization abilities in the RP/WCX system. This could improve the development
of MMLC methods and make them more accessible for practical use., U farmaceutskim analizama najzastupljenija je reverzno-fazna tečna hromatografija
visokih performansi (reverse‐phase high‐performance liquid chromatography (RP-HPLC))
koja iziskuje značajnu potrošnju mobilne faze toksične prirode. Iz tog razloga, teži se
ekološki prihvatljivijim rešenjima (1). Kada su u pitanju kompleksne smeše uzorka, RP-HPLC
zbog nemogućnosti sparacije visoko polarnih i naelektrisanih analita, često zahteva više
unimodalnih ili dvodimenzionalne HPLC analize. Razvoj multimodalne tečne hromatografije
(mixed‐mode liquid chromatography (MMLC)) koja podrazumeva više separacionih
modaliteta inkorporiranih u jednu stacionarnu fazu, omogućava razdvajanje složenih uzorka
jedinstvenom analizom. Brojni faktori utiču na MMLC separaciju, što razvoj metoda čini
zahtevnim i ograničava im praktičnu primenu (2). Izgradnja prediktivnih matematičkih
modela, kao što su modeli kvantitativnog odnos strukture i retencionog ponašanja
(Quantitative structure‐retention relationship (QSRR)), može ubrzati razvoj metode. QSRR
povezuje fizičko-hemijska svojstva (molekulski deskriptori (MD)) sa retencionim
ponašanjem molekula, što omogućava predviđanje retencionog ponašanja neispitanih
analita. Uključivanje vrednosti eksperimentalnih parametara u QSRR, proširuje prediktivnost
modela na ceo eksperimentalni prostor (3). Podaci o retencionom ponašanju za potrebe
razvoja QSRR modela, dobijeni su upotrebom Thermo Acclaim Mixed‐Mode WCX‐1 (3 μm;
2,1x150 mm) kolone koja uključuje hirdrofobne i interakcije slabe katjonske izmene (weak
cation exchange (WCX)). Malim prečnikom kolone omoguć en je nizak protok i utrošak
mobilne faze (400 μl/min). Sastav mobilne faze (udeo ACN (30 – 50 % (v/v)), pH (3,8 – 5,6) i
jonska jačina (20 – 40 mM) acetatnog pufera) i temperatura kolone (30 – 38 °C) menjani su u
skladu sa centralnim kompozicionim dizajnom – ka centru orijentisanim. Praćen je
retencioni faktor 33 farmaceutska jedinjenja različitih farmakoloških i jonizacionih osobina.
MD su računati AlvaDesc softverom. Za izgradnju QSRR modela RapidMiner softverom
razmatrana je nekolicina algoritama mašinskog učenja, a odabrani su najinformativniji
(gradient boosted trees (GBT) i bagging neural networks (BNN)). Modeli su građeni na osnovu
podataka za 30 analita, dok su preostala tri (anjon, katjon, neutralni) odabrani za test set.
Selekcijom unapred odabrani su najznačajniji MD za izgradnju BNN, za razliku od GBT koji ne
zahteva preselekciju MD. Interna procena modela vršena je desetostrukom unakrsnom
validacijom (10‐fold cross‐validation), dok je eksterna vršena test setom podataka. Modeli su
upoređeni na osnovu relativne srednje kvadratne greške (RMSE) test seta. BNN (RMSE =
0,104; R 2 = 0,976) se pokazao boljim u poređenju sa GBT (RMSE = 0,112; R 2 = 0,963).
Dobijeni QSRR modeli pokazali su dobru sposobnost predviđanja retencionog ponašanja
molekula različitih jonizacionih sposobnosti u RP/WCX sistemu. Tako bi mogao da se
unapredi razvoj MMLC metoda i učini ih pristupačnijim za praktičnu upotrebu.",
publisher = "Savez farmaceutskih udruženja Srbije (SFUS)",
journal = "Arhiv za farmaciju",
title = "Building QSRR model for RP/WCX HPLC method developmnet, Izgradnja QSRR modela za razvoj RP/WCX HPLC metode",
volume = "71",
number = "5 suplement",
pages = "S120-S121",
url = "https://hdl.handle.net/21.15107/rcub_farfar_4678"
}
Svrkota, B., Krmar, J., Protić, A.,& Otašević, B.. (2021). Building QSRR model for RP/WCX HPLC method developmnet. in Arhiv za farmaciju
Savez farmaceutskih udruženja Srbije (SFUS)., 71(5 suplement), S120-S121.
https://hdl.handle.net/21.15107/rcub_farfar_4678
Svrkota B, Krmar J, Protić A, Otašević B. Building QSRR model for RP/WCX HPLC method developmnet. in Arhiv za farmaciju. 2021;71(5 suplement):S120-S121.
https://hdl.handle.net/21.15107/rcub_farfar_4678 .
Svrkota, Bojana, Krmar, Jovana, Protić, Ana, Otašević, Biljana, "Building QSRR model for RP/WCX HPLC method developmnet" in Arhiv za farmaciju, 71, no. 5 suplement (2021):S120-S121,
https://hdl.handle.net/21.15107/rcub_farfar_4678 .