Mohammad Hailat

Dr. Mohammad Hailat

Alzaytoonah University of Jordan
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 June 2021 in Molecules
Verified
Journal Article
Open access
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Mohammad HailatMohammad Hailat
Mohammad Hailat
Israa Hamid Al-AniIsraa Hamid Al-Ani
Israa Hamid Al-Ani
MHMohammed Hamed
Mohammed Hamed
ZZZainab Zakareia
Zainab Zakareia
Wael Abu DayyihWael Abu Dayyih
Wael Abu Dayyih
In the current work, a simple, economical, accurate, and precise HPLC method with UV detection was developed to quantify Favipiravir (FVIR) in spiked human plasma using acyclovir (ACVR) as an internal standard in the COVID-19 pandemic time. Both FVIR and ACVR were well separated and resolved on the C18 column using the mobile phase blend of methanol:acetonitrile:20 mM phosphate buffer (pH 3.1) in an isocratic mode flow rate of 1 mL/min with a proportion of 30:10:60 %, v/v/v. The detector wavelength was set at 242 nm. Maximum recovery of FVIR and ACVR from plasma was obtained with dichloromethane (DCM) as extracting solvent. The calibration curve was found to be linear in the range of 3.1–60.0 µg/mL with regression coefficient (r2) = 0.9976. However, with acceptable r2, the calibration data’s heteroscedasticity was observed, which was further reduced using weighted linear regression with weighting factor 1/x. Finally, the method was validated concerning sensitivity, accuracy (Inter and Intraday’s % RE and RSD were 0.28, 0.65 and 1.00, 0.12 respectively), precision, recovery (89.99%, 89.09%, and 90.81% for LQC, MQC, and HQC, respectively), stability (% RSD for 30-day were 3.04 and 1.71 for LQC and HQC, respectively at −20 °C), and carry-over US-FDA guidance for Bioanalytical Method Validation for researchers in the COVID-19 pandemic crisis. Furthermore, there was no significant difference for selectivity when evaluated at LLOQ concentration of 3 µg/mL of FVIR and relative to the blank.

22 February 2024 in Pharmaceuticals
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Journal Article
Open access
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ZZZainab Zakareia
Zainab Zakareia
MAMohammad Abu Assab
Mohammad Abu Assab
LTLina N. Tamimi
Lina N. Tamimi
NKNida Karameh
Nida Karameh
Mohammad HailatMohammad Hailat
Mohammad Hailat
RARiad Awad
Riad Awad
The two main classifications of antidepressant medications are selective norepinephrine reuptake inhibitors (SNRIs) and selective serotonin reuptake inhibitors (SSRIs). Out of the available choices, selective serotonin reuptake inhibitors (SSRIs) have emerged as the most commonly prescribed option. The class demonstrates a greater degree of diversity in its structural characteristics in contrast to its neurochemical effects. Nevertheless, it is important to acknowledge that the chemical composition of a drug within this specific class does not carry substantial significance in the selection process. A comprehensive analysis of the pharmacodynamic and pharmacodynamic properties of antidepressant drugs proves advantageous for clinicians and managed care providers responsible for selecting preferred selective serotonin reuptake inhibitors (SSRIs) from a roster of authorized medications. The physicochemical characteristics, which possess considerable significance, are frequently disregarded except during the drug development stage. Pharmacodynamic properties refer to the physiological and biochemical effects that drugs exert on the human body. It is noteworthy that the inclusion of selective serotonin reuptake inhibitors (SSRIs) and serotonin–norepinephrine reuptake inhibitors (SNRIs) in a comprehensive depression management protocol may demonstrate enhanced effectiveness in clinical environments as opposed to controlled trials.

28 June 2023 in Polymers
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Journal Article
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RARamadan Al-Shdefat
Ramadan Al-Shdefat
Mohammad HailatMohammad Hailat
Mohammad Hailat
OAOsama Alshogran
Osama Alshogran
Wael Abu DayyihWael Abu Dayyih
Wael Abu Dayyih
Ahmed R. GardouhAhmed R. Gardouh
Ahmed R. Gardouh
OMOsaid Al Meanazel
Osaid Al Meanazel
Ribociclib is a newly approved orally administered drug for breast cancer. This study aimed to prepare, characterize, and evaluate hybrid lipid–polymer nanoparticles (PLNs) of ribociclib to enhance its in vitro dissolution rate, pharmacokinetics, and anticancer efficacy. Ribociclib-loaded PLNs were prepared by solvent evaporation using the Box–Behnken design to optimize formulation variables. Particle size, entrapment efficiency, differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), Fourier transform infrared spectroscopy (FTIR), atomic force microscopy (AFM), in vitro release cytotoxicity, molecular modeling, and pharmacokinetic studies were examined. The ribociclib-loaded PLN (formula 1, F1) was optimized in terms of particle size (266.9 ± 4.61 nm) and encapsulation efficiency (59.1 ± 2.57 mg/mL). DSC and thermogravimetric characterization showed the absence of a crystalline structure in the prepared PLNs, confirmed by FTIR, and showed no interactions between the components and the drug. AFM showed well-dispersed heterogeneously shaped nanoparticles. The in vitro release profile exhibited significant results for the optimized formula, reaching 100% at 600 and 90 min at pH 6.8 and 1.2, respectively. The low IC50 obtained by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay suggests that optimized PLN might serve as an effective delivery vehicle for cancer treatment, especially breast and lung cancer. Molecular modeling revealed several hydrogen bonds. A pharmacokinetic study in rats showed that the ribociclib formula had a 6.5-fold increase in maximum concentration (Cmax) and a 5.6-fold increase in area under the curve (AUC). Regarding the everted intestinal sac absorption, formula 1 increased ribociclib penetration relative to the physical combination and pure medication. In conclusion, optimized PLNs with enhanced physicochemical and cytotoxic properties and improved pharmacokinetic parameters were successfully prepared.

1 April 2022 in Analytica
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Journal Article
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RARaneem Ahmad
Raneem Ahmad
Mohammad HailatMohammad Hailat
Mohammad Hailat
ZZZainab Zakareia
Zainab Zakareia
OMOsaid Al Meanazel
Osaid Al Meanazel
Wael Abu DayyihWael Abu Dayyih
Wael Abu Dayyih
Nonsteroidal anti-inflammatory drugs are the most commonly prescribed anti-inflammatory drugs worldwide. The most common side effects are gastrointestinal. Pantoprazole, a proton pump inhibitor (PPI), can be used to prevent these events from occurring. In this study, we attempt to develop and validate a novel method for determining and validating the fixed-dose combination of meloxicam and pantoprazole. A new method has been developed and validated to estimate pantoprazole and meloxicam in a fixed-dose combination using RP-HPLC. In order to separate the drugs, a mobile phase phosphate buffer/acetate was used (30:70, v/v), with a pH of 3.4 and a flow rate of 1.0 mL/min at 25 °C. The detection wavelength for the drugs was at a wavelength of 310 nm. The retention times for meloxicam and pantoprazole were 6 and 9 min, respectively. In concentrations ranging from 0.1 to 200 mg/L, the linearity of the detector was established. The r was 0.9998 for both drugs. Recovery rates ranged from 98 to 102% on average. According to the guidelines of the International Council on Harmonization, the results were satisfactory. Using the method presented herein, the pharmaceutical formulation of the combined meloxicam and pantoprazole can be routinely tested.

16 December 2024 in Materials Advances
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OTOla Tarawneh
Ola Tarawneh
SASara Almasri
Sara Almasri
AAAla Alhusban
Ala Alhusban
Mohammad HailatMohammad Hailat
Mohammad Hailat
LHLama Hamadneh
Lama Hamadneh
YMYahia F. Makableh
Yahia F. Makableh
This study presents a novel dissolving microneedle (MN) formulation designed to deliver alpha arbutin (AA) and ascorbic acid for hyperpigmentation treatment.

9 October 2020 in Acta Poloniae Pharmaceutica - Drug Research
Verified
Journal Article
Open access
IHIsraa Habash
Israa Habash
RARamadan Al-Shdefat
Ramadan Al-Shdefat
Mohammad HailatMohammad Hailat
Mohammad Hailat
WDWael Abu Dayyih
Wael Abu Dayyih