Article
Pharmacology & Pharmacy
Yali Liu, Richard Krombholz, Dominique Jasmin Lunter
Summary: This research addressed the challenge of measuring the penetration performance of caffeine using confocal Raman spectroscopy, focusing on the importance of skin temperature and hydration on data accuracy. Results showed that decreasing skin temperature and hydration led to inaccurate data collection, possibly due to caffeine crystallization in the skin layer. The study suggests considering these factors for accurate monitoring of topical drug delivery.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2021)
Article
Pharmacology & Pharmacy
Richard Krombholz, Yali Liu, Dominique Jasmin Lunter
Summary: The study compared the differences between using in-line and off-line devices for monitoring skin drug penetrations. Results showed that comparable outcomes were obtained from both methods, but in-line measurements were more timely and labor-saving.
Article
Chemistry, Analytical
Gilbert L. Nelson, Hope E. Lackey, Job M. Bello, Heather M. Felmy, Hannah B. Bryan, Fabrice Lamadie, Samuel A. Bryan, Amanda M. Lines
Summary: Microfluidics offer numerous potential applications, including characterization of chemical processes, reaction kinetics studies, sample pretreatment, and portable spectroscopic analyses. In situ characterization of process streams from laboratory-scale and microscale experiments on the same chemical system provides comprehensive understanding of process conditions at different scales. Micro-Raman and micro-UV-vis spectroscopy can determine fundamental parameters with significantly reduced sample size, leading to time, cost, and waste reductions compared to traditional approaches.
ANALYTICAL CHEMISTRY
(2021)
Article
Engineering, Environmental
Heather M. Felmy, Andrew J. Clifford, Adan Schafer Medina, Richard M. Cox, Jennifer M. Wilson, Amanda M. Lines, Samuel A. Bryan
Summary: Molten salt reactors have the potential to support green energy goals, and the development of new technology like online monitoring tools can aid in their licensing and deployment. Advanced Raman spectroscopy systems paired with chemometric analysis can provide real-time and highly accurate analysis of species like iodine in off-gas streams, laying the foundation for applications in molten salt reactor off-gas analysis and other chemical processes.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Chemistry, Applied
Luise F. Kaven, Hanna J. M. Wolff, Lukas Wille, Matthias Wessling, Alexander Mitsos, Joern Viell
Summary: In this study, a customized Raman measurement cell for in-line monitoring in a tubular flow reactor was presented, and an accuracy analysis was conducted using different calibration models and various analyte solutions. The research demonstrates that solutions containing multiple molecules have a significant impact on quantification accuracy.
ORGANIC PROCESS RESEARCH & DEVELOPMENT
(2021)
Article
Chemistry, Multidisciplinary
Un Jeong Kim, Seung Hyun Nam, Juyeon Seo, Mino Yang, Qundong Fu, Zheng Liu, Hyungbin Son, Moonsang Lee, Myung Gwan Hahm
Summary: This study introduces how the crystallographic structure and quality of atomic-layered materials can be projected through Raman spectroscopy analysis, with a specific focus on a two-dimensional layered material.
Article
Spectroscopy
Chenlei Ru, Wu Wen, Yi Zhong
Summary: This study utilized Raman spectroscopy combined with convolutional neural network (CNN) for real-time monitoring of the aqueous extraction process of medicinal plants. The results showed that CNN-based methods were superior in accurately predicting analyte content and had good complementarity with preprocessing methods.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Pharmacology & Pharmacy
Maryam Karimi-Jafari, Rodrigo Soto, Ahmad B. Albadarin, Denise Croker, Gavin Walker
Summary: The application of in-line Raman spectroscopy to monitor the formation of a 1:1 cocrystal of ibuprofen as a BCS class II drug and nicotinamide using hot-melt extrusion was investigated. Partial least square (PLS) was used to build predictive models, with PXRD spectra as calibration to calculate cocrystal yield, and DSC as a complementary technique to confirm the composition of extrudates. Tracking cocrystal formation throughout the barrel with two Raman probes simultaneously provided valuable information on the mechanism of cocrystal formation during the HME process.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2021)
Article
Chemistry, Multidisciplinary
Pengtao Xu, Jin Suntivich
Summary: In situ stimulated Raman spectroscopy (SRS) is introduced as a method to monitor the evolution of electrochemical reactions with millisecond resolutions and enhanced sensitivity. The SRS methodology can identify generated chemicals during electrochemical reactions and observe the change in their concentration over time.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2022)
Article
Biochemical Research Methods
David Heinrich Mueller, Marieke Boerger, Julia Thien, Hans-Juergen Koss
Summary: In bioprocesses, monitoring and controlling the pH value is crucial. The Good pH probe developed in this study offers a non-invasive and accurate alternative to traditional potentiometric methods. It combines spectroscopic techniques with indirect hard modeling, allowing for pH monitoring in a wide range of conditions.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Agriculture, Dairy & Animal Science
Hulya Yaman, Didem P. Aykas, Rafael Jimenez-Flores, Luis E. Rodriguez-Saona
Summary: A rapid and simple method based on vibrational spectroscopic techniques was developed to understand biochemical changes during the ripening process of Turkish white cheese and generate predictive algorithms. The models showed good correlation between predicted values by vibrational spectroscopy and reference values, providing real-time tools for addressing deviations in cheese manufacturing. Portable vibrational spectroscopy units can be used for rapid in-situ monitoring of cheese quality during aging.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Chemistry, Analytical
Tanveer Ahmed Shaik, Joao L. Lagarto, Enrico Baria, Melis Goktas, Patrick Igoche Onoja, Kerstin G. Blank, Francesco S. Pavone, Juergen Popp, Christoph Krafft, Riccardo Cicchi
Summary: The study demonstrates the potential of nondestructive optical imaging techniques such as SHG, RS, and FLIM in monitoring collagen degradation and assessing mechanical properties in tissues. These techniques can provide label-free monitoring of collagen degradation and rough evaluation of mechanical properties in a nondestructive manner.
ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Physical
Florian Schorn, Manfred Aubermann, Richard Zeltner, Marco Haumann, Nicolas Y. Joly
Summary: By utilizing hollow-core photonic crystal fibers, it is possible to monitor the evolution of chemical reactions with single-pass spectroscopic measurements using minimal volumes of chemicals. In this study, nonlinear Raman spectroscopy was employed for screening the reaction of acidic catalyzed esterification of methanol and acetic acid as a proof of principle.
Article
Medicine, Research & Experimental
Anas Aljabbari, Shinji Kihara, Thomas Rades, Ben J. Boyd, Karlis Berzins
Summary: The adsorption of gut relevant biomolecules onto particles after oral administration of solid oral dosage forms is expected to form a gastrointestinal corona, which could influence solution-mediated solid-state transformations. This study used low-frequency Raman spectroscopy to investigate the in situ solid-state phase transformations under biorelevant conditions and the presence of biomolecules. The results showed a change in the solid-state transformation pathway from amorphous to crystalline drug and the role of biomolecules in influencing these transformations.
MOLECULAR PHARMACEUTICS
(2023)
Article
Food Science & Technology
Zhenfang Liu, Min Huang, Qibing Zhu, Jianwei Qin, Moon S. Kim
Summary: A nondestructive method using spatially offset Raman spectroscopy (SORS) technique combined with data modeling analysis was proposed to assess the internal quality of intact prawns. The prediction model based on SORS enhanced data and combining Random Forest feature band selection with Support Vector Regression demonstrated the best performance in predicting prawn freshness. This rapid and nondestructive method may be feasible for assessing internal quality of materials that demonstrate surface interference, such as in-shell prawns.
Article
Pharmacology & Pharmacy
Krisztina Kiss, Kristof Hegedus, Panna Vass, Diana Vari-Mezo, Attila Farkas, Zsombor Kristof Nagy, Laszlo Molnar, Jozsef Tovari, Gabor Mezo, Gyorgy Marosi
Summary: Special formulations were developed to enhance the water solubility of curcuminoids, leading to the preparation of fast-dissolving fibrous dosage forms for intravenous infusion. The antitumor activity of the curcuminoid complexes with HP-beta-CD was found to be similar or better compared to free APIs.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2022)
Article
Pharmacology & Pharmacy
Lajos Madarasz, Akos Kote, Bence Hambalko, Kristof Csorba, Viktor Kovacs, Laszlo Lengyel, Gyorgy Marosi, Attila Farkas, Zsombor Kristof Nagy, Andras Domokos
Summary: This study demonstrates how an in-line PAT tool can be used for rapid and efficient process development in a continuous powder to granule line. A new method for in-line particle size measurement of high mass flow materials was investigated, successfully reducing particle overlapping and enabling accurate measurement. The results show that the in-line imaging system is a valuable tool for real-time information in process development or quality assurance.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2022)
Article
Chemistry, Applied
Andras Domokos, Lajos Madarasz, Gyorgy Stoffan, Kornelia Tacsi, Dorian Galata, Kristof Csorba, Panna Vass, Zsombor K. Nagy, Hajnalka Pataki
Summary: The study developed an in-line image analysis system for monitoring continuous crystallization of an active pharmaceutical ingredient. By capturing crystal images with a camera and evaluating crystal size distribution in real-time, the system was able to accurately track trends in the crystallization process.
ORGANIC PROCESS RESEARCH & DEVELOPMENT
(2022)
Article
Pharmacology & Pharmacy
Stefan Horkovics-Kovats, Dorian Laszlo Galata, Pavol Zlatos, Brigitta Nagy, Lilla Alexendra Meszaros, Zsombor Kristof Nagy
Summary: The purpose of this study was to develop a deterministic permeation model (DPM) that predicts the in vitro release profile of an active ingredient (API) embedded in hydroxypropyl-methylcellulose (HPMC) matrix tablets based on Raman spectra. The DPM was constructed using one-third of the measured dissolution profiles and is presented as a system of differential equations together with its analytical solution. The Raman spectra-based predictions of DPM were compared with predictions of an Artificial Neural Network (ANN).
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2022)
Article
Engineering, Chemical
Panna Vass, Andras Domokos, Eszter Pantea, Botond Szilagyi, Monika Molnar, Petra Zahonyi, Brigitta Nagy, Zsombor Kristof Nagy
Summary: Continuous fluidized bed drying is an attractive technology for enhancing the stability of thermosensitive biologics. In this study, a mechanistic drying model was used to optimize the drying process for manufacturing granules with high probiotic content suitable for tableting. The model-based process optimization proved to be useful in complex integrated pharmaceutical manufacturing processes.
Article
Pharmacology & Pharmacy
Brigitta Nagy, Agnes Szabados-Nacsa, Gergo Fulop, Aniko Turak Nagyne, Dorian Laszlo Galata, Attila Farkas, Lilla Alexandra Meszaros, Zsombor Kristof Nagy, Gyorgy Marosi
Summary: As the pharmaceutical industry adopts Pharma 4.0, there is a need to predict product quality based on manufacturing or in-process data. Artificial neural networks (ANNs) were developed and interpreted to increase process understanding by analyzing developmental or manufacturing data. The ANNs provided better results for predicting tablet dissolution and hardness compared to NIR or Raman spectra. They were also used to identify the root causes of batch-to-batch variability and control the tableting process.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2023)
Article
Engineering, Chemical
Petra Tozser, Luca L. Kovacs, Szabina Kadar, Dora Csicsak, Peter Soti, Gergely Volgyi, Balint Sinko, Zsombor K. Nagy, Eniko Borbas
Summary: This study demonstrates the importance of early screening of solubility and permeability in the presence of additives to achieve the expected bioavailability of poorly water-soluble APIs. The results show that the addition of surfactants and pH modifiers can alter the solubility and permeability of the API, with a mathematical relationship between these parameters. Simultaneous dissolution-permeation studies reveal that formulations containing surfactants have slightly higher flux compared to those containing pH modifiers. It emphasizes the significance of studying drug-additive interactions in formulation development and performing dissolution-permeation studies to predict bioavailability.
PERIODICA POLYTECHNICA-CHEMICAL ENGINEERING
(2023)
Article
Engineering, Chemical
Orsolya Peterfi, Zsombor Kristof Nagy, Emese Sipos, Dorian Laszlo Galata
Summary: The aim of this study was to develop an artificial neural network (ANN) model that can accurately predict the dissolution profile of immediate release tablets using non-destructive spectral data. Six different tablet formulations with varying API and disintegrant concentrations were prepared. NIR and Raman spectra of each tablet were collected and principal component analysis (PCA) was conducted. ANN training was performed with varying hidden neuron numbers, and the best results were obtained with a small number of neurons (1-3). The optimized model based on reflection Raman spectra showed the best predictive ability, demonstrating the potential of ANN models for real-time release testing of tablet dissolution.
PERIODICA POLYTECHNICA-CHEMICAL ENGINEERING
(2023)
Article
Pharmacology & Pharmacy
Kornelia Tacsi, Gyorgy Stoffan, Dorian Laszlo Galata, Eva Pusztai, Martin Gyurkes, Brigitta Nagy, Botond Szilagyi, Zsombor Kristof Nagy, Gyorgy Marosi, Hajnalka Pataki
Summary: Continuous crystallization with the use of polymer additives in a connected ultrasonicated plug flow crystallizer and an overflow MSMPR crystallizer system is developed to improve the flowability of acetylsalicylic acid crystals. The impact of cooling antisolvent crystallization parameters on product quality and quantity is investigated, and a spatially segmented antisolvent dosing method is evaluated. The developed technology enables the production of purified, constant quality products in a short time, even at high yield.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2023)
Review
Materials Science, Multidisciplinary
Antonios Keirouz, Zhe Wang, Vundrala Sumedha Reddy, Zsombor Kristof Nagy, Panna Vass, Matej Buzgo, Seeram Ramakrishna, Norbert Radacsi
Summary: Electrospinning has advanced rapidly, leading to the invention of new technologies and apparatuses. The revamping of conventional electrospinning focuses on achieving scalability, developing 3D nanofibrous macrostructures, and formulating novel fiber configurations. This review introduces a diverse group of electrospinning techniques and compares them based on apparatus type and output, assessing their advantages and limitations. Future developments of advanced electrospinning technologies are outlined with a focus on upscaling, translational research, sustainable manufacturing, and prospective solutions to current shortcomings.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
Article
Pharmacology & Pharmacy
Edit Hirsch, Mario Nacsa, Eszter Pantea, Edina Szabo, Panna Vass, Julia Domjan, Attila Farkas, Zoltan Nyiri, Zsuzsanna Eke, Tamas Vigh, Sune Klint Andersen, Geert Verreck, Gyorgy Janos Marosi, Zsombor Kristof Nagy
Summary: The aim of this study was to develop tablet formulations of antisense oligonucleotides using high-speed electrospinning. Methanol was found to be advantageous in terms of fiber formation, allowing for higher drug loadings. High-speed electrospinning technology was used to increase productivity, and a formulation with 50% drug loading was developed. The fibrous powder was ground and mixed with excipients to improve flowability for tableting. The study demonstrated the suitability of the HP beta CD matrix for biopharmaceutical formulations and provided solutions for challenges in electrospinning.
Article
Pharmacology & Pharmacy
Orsolya Peterfi, Lajos Madarasz, Mate Ficzere, Katalin Lestyan-Goda, Petra Zahonyi, Gabor Erdei, Emese Sipos, Zsombor Kristof Nagy, Dorian Laszlo Galata
Summary: This paper presents a machine learning-based image analysis method for monitoring the particle size distribution of fluidized granules. The method allows for real-time monitoring of the granules using a direct imaging system consisting of a rigid fiber-optic endoscope, light source, and high-speed camera. The system was evaluated using various granule mixtures within the 100-2000 μm size range, and the results were compared with off-line reference measurements obtained by dynamic image analysis and laser diffraction. The study concludes that real-time particle size analysis using machine vision is feasible as an in-line process analytical technology tool.
EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES
(2023)
Article
Engineering, Chemical
Mohamed Azouz Mrad, Kristof Csorba, Dorian Laszlo Galata, Zsombor Kristof Nagy, Hassan Charaf
Summary: The viscosity of a liquid reflects its internal resistance to flow and is crucial for quality control in various industries. Capillary viscometers are commonly used but expensive and complex, which poses challenges for accurate and real-time viscosity measurement. In this study, a convolutional neural network model was trained using images of droplets to estimate the viscosity of water-PVP solutions. The proposed model accurately estimated the viscosity of unseen samples with a low MSE score of 0.0243 and R2 score of 0.9576. This method has potential applications in real-time viscosity monitoring scenarios.
Article
Chemistry, Medicinal
Dorian Laszlo Galata, Szilveszter Gergely, Rebeka Nagy, Janos Slezsak, Ferenc Ronkay, Zsombor Kristof Nagy, Attila Farkas
Summary: This study compares the performance of Raman and near-infrared (NIR) imaging techniques in predicting the rate of drug release from sustained-release tablets. Both methods yield accurate predictions, but NIR imaging allows faster measurements, making it a better candidate for real-time applications. The introduction of chemical imaging in pharmaceutical quality control has the potential to profoundly change the industry.
Article
Pharmacology & Pharmacy
Mate Ficzere, Orsolya Peterfi, Attila Farkas, Zsombor Kristof Nagy, Dorian Laszlo Galata
Summary: This study presents a system that utilizes deep learning to determine the API concentration and particle size distribution of a powder blend captured with a digital camera. The method provides fast and simple measurements and improves the quality control of the manufacturing process.
EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES
(2023)