DANIELA POPA

Dr. DANIELA POPA

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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1 July 2024 in Separations
Verified
Journal Article
Open access
PDF file
IAInes Adam-Dima
Ines Adam-Dima
Andreea Alexandra OlteanuAndreea Alexandra Olteanu
Andreea Alexandra Olteanu
OOOctavian Tudorel Olaru
Octavian Tudorel Olaru
DANIELA POPADANIELA POPA
DANIELA POPA
NPNicoleta Carmen Purdel
Nicoleta Carmen Purdel
Phytoestrogens, natural compounds with structural similarity to 17-β-estradiol, are known to have potential health benefits, including in hormone-dependent malignancies. The therapeutic interest and some safety concerns observed triggered the need to develop accurate methods to assess their level in different matrices. This narrative review examines the existing analytical methods used to isolate, quantify, and characterize phytoestrogens and their metabolites in plants, foods, and biological samples. Different conventional and modern extraction techniques, such as ultrasonication-assisted extraction, supercritical fluid extraction, or enzyme-assisted extraction, were presented and compared. The advantages and limitations of the existing analytical methods, such as high-performance liquid chromatography using different sensitive detectors, gas chromatography often coupled with mass spectrometry, and immunoassay methods, are highlighted, along with the need for ongoing research to improve the sensitivity and selectivity of the analysis.

1 November 2022 in FARMACIA
Verified
Journal Article
Closed access
FDFelicia Dragan
Felicia Dragan
CMCorina Florentina Moisa
Corina Florentina Moisa
ATAndrei Teodorescu
Andrei Teodorescu
CBCristina Burlou-Nagy
Cristina Burlou-Nagy
KFKatalin Ilona Fodor
Katalin Ilona Fodor
DTDiana Ioana Manuela Teaha
Diana Ioana Manuela Teaha

16 January 2023 in Public Health and Toxicology
Verified
Journal Article
Open access
George Traian Alexandru Burcea-DragomiroiuGeorge Traian Alexandru Burcea-Dragomiroiu
George Traian Alexandru Burcea-Dragomiroiu
EMElena Moroșan
Elena Moroșan
DANIELA POPADANIELA POPA
DANIELA POPA
SNSultana Niţă
Sultana Niţă
IRIuksel Rasit
Iuksel Rasit
OGOctav Ginghină
Octav Ginghină
Introduction: The aim of this study was to assess the anti-inflammatory action of semisolid gel emulsions containing cobalt complexes with ligands of oxicams class, i.e. piroxicam and meloxicam, in vivo, on the inhibition of hind paw edema induced in rats, using a carrageenan solution as a...

29 July 2026 in Pharmaceutics
Verified
Journal Article
Open access
PDF file
ITImola-Rebeka Turac
Imola-Rebeka Turac
Tibor CasianTibor Casian
Tibor Casian
Sonia IurianSonia Iurian
Sonia Iurian
A. PorfireA. Porfire
A. Porfire
RIRareș Iuliu Iovanov
Rareș Iuliu Iovanov
Ioan TomutaIoan Tomuta
Ioan Tomuta
Additive manufacturing, also known as 3D printing (3DP), is intended to enable personalised medicine by producing drug products on demand at the Point of Care (PoC), with dose, drug-release profile, and geometry tailored to the individual patient. Despite its promise, widespread adoption is limited by the absence of ready-to-use quality control (QC) methods for printlets at the PoC. Process Analytical Technology (PAT) tools, particularly vibrational spectroscopic methods like Near-Infrared and Raman spectroscopy, can offer real-time monitoring to ensure the safety and consistency of printed dosage forms. Integrating these tools within a Quality-by-Design (QbD) framework can enhance process understanding, control variability, and minimise risk. Regulatory implementation and technological innovation remain essential for the broader clinical implementation of 3DP in pharmaceutical manufacturing. This review presents an overview of currently existing studies on PAT tools explored for non-destructive quality control across 3DP techniques, examines the correlation between Critical Process Parameters (CPPs), Critical Material Attributes (CMAs), and the Critical Quality Attributes (CQAs) of 3D-printed dosage forms within a QbD context, and outlines the current regulatory landscape alongside key limitations and future directions for the broader integration of 3DP into pharmaceutical development and manufacturing. Current evidence shows that PAT application remains uneven across printing technologies and is predominantly directed at final product quality control, rather than the real-time process monitoring required for a fully closed-loop QbD framework. Existing spectroscopic models are largely restricted to single formulations, printers, and APIs, and the absence of standardised validation reporting and transferability assessments represents a key barrier to routine implementation.