Article
Instruments & Instrumentation
Alexander Finnegan, Rebekah C. Susserott, Lip-Hwee Koh, Wei-Boon Teo, Chris Gouramanis
Summary: This study introduces a simple sample preparation method that greatly improves the results of Fourier transform infrared analysis. By compressing the fibers and improving their surfaces, the method achieves high matching scores and reproducibility in spectra generation.
APPLIED SPECTROSCOPY
(2022)
Article
Instruments & Instrumentation
Stephane Chevalier, Jean-Noel Tourvieille, Alain Sommier, Jean-Christophe Batsale, Bruno Beccard, Christophe Pradere
Summary: The technical note presents an advanced thermospectroscopic imager that combines FT-IR spectrometer and thermal camera technologies to image thermal emission and multispectral absorbance fields rapidly. The instrument demonstrates high efficiency and accuracy in processing and measuring, showcasing its potential for studying fast transient thermal and chemical phenomena with improved spectral resolution.
APPLIED SPECTROSCOPY
(2021)
Review
Instruments & Instrumentation
Stephanie Wright, Joseph Levermore, Yukari Ishikawa
Summary: Microplastic pollution is a global concern for the environment and human health. In order to assess the potential hazards associated with high concentrations of microplastics, it is necessary to have a comprehensive understanding of exposure concentrations. Infrared and near-infrared microspectroscopies have been used to analyze microplastics in various matrices, and recent advances in technology have allowed for the use of multivariate and machine learning algorithms. This article provides an up-to-date review of the literature on measuring microplastic exposure using infrared spectroscopy and highlights the recent advancements in this field.
APPLIED SPECTROSCOPY
(2023)
Article
Chemistry, Analytical
Adele Kincses, Karly C. Sourris, Muthukumar Mohan, Phillip Kantharidis, Karin Jandeleit- Dahm, Bayden R. Wood
Summary: In this study, a new method using transflection FTIR spectroscopy coupled with partial least squares regression is reported to predict urinary 8-isoprostane concentrations in different murine models of diabetes. This method offers advantages of high throughput, minimal sample preparation, and potential expansion to the analysis of other biomarkers.
MICROCHEMICAL JOURNAL
(2022)
Article
Instruments & Instrumentation
Maria Lucia Protopapa, Emiliano Burresi, Martino Plamisano, Emanuela Pesce, Loredana Latterini, Nicola Taurisano, Giulia Quaglia, Raffaello Mazzaro, Vittorio Morandi
Summary: The research aims to engineer desired molecular sp(2) structures in graphene oxide by controlled oxidation of graphite powder, in order to achieve tunable chemical and microstructural properties for optoelectronics or sensing applications. Experimental results show that different concentrations of potassium permanganate and potassium hydroxide can change the microstructural and chemical properties of GO, leading to significant enhancement of photoluminescence and introduction of additional electronic energy levels for tuning the functional properties of GO.
APPLIED SPECTROSCOPY
(2022)
Article
Instruments & Instrumentation
Christopher J. Thompson, Neal B. Gallagher, Kendall D. Hughey, Megan K. Dunlap, Tanya L. Myers, Timothy J. Johnson
Summary: A spectral analysis tool called SpecQuant has been developed to identify and quantify gas-phase species from complex infrared spectra. It can handle both reference and experimental data with varying resolution and instrumental lineshape. The software uses classical least squares model and reference spectra to determine the mixing ratio of each species along with its estimation error. SpecQuant also provides visual inspection of the fit and residuals by displaying the calculated mixing ratio versus experimental data for each analyte.
APPLIED SPECTROSCOPY
(2023)
Article
Instruments & Instrumentation
John Jerald Villamanca, Lemuel John Hermogino, Katherine Denise Ong, Brian Paguia, Lorenzo Abanilla, Antonio Lim, Lara Mae Angeles, Bernadette Espiritu, Maura Isais, Rock Christian Tomas, Pia Marie Albano
Summary: Early and accurate detection of colorectal cancer is crucial for prognosis and clinical management. Current diagnostic methods often lack sensitivity and specificity, highlighting the need for more accurate alternatives. This study presents support vector machine and feedforward neural network models using Fourier transform infrared spectral data to predict the classification of colorectal tissues. The results demonstrate the importance of attenuated total reflection Fourier transform infrared enhanced by artificial intelligence tools for the diagnosis of colorectal cancer.
APPLIED SPECTROSCOPY
(2022)
Review
Instruments & Instrumentation
Nicole M. Ralbovsky, Igor K. Lednev
Summary: Type II diabetes mellitus is a metabolic disorder with high prevalence and mortality rates worldwide, leading to various dangerous diseases. Current methods for diabetes detection have limitations in terms of fluctuation and accuracy, highlighting the need for more effective diagnostic approaches.
APPLIED SPECTROSCOPY
(2021)
Article
Biophysics
Nusrat Iqbal, Dipak Kumar Hazra, Aloke Purkait, Amrish Agrawal, Jitendra Kumar
Summary: The study aimed to develop stable neem oil-based nanoemulsion formulation with enhanced pesticide activity, and findings showed that Prosopis juliflora acted as a bio-polymeric adjuvant to stabilize the nanoemulsion, improving stability and efficacy.
COLLOIDS AND SURFACES B-BIOINTERFACES
(2022)
Article
Instruments & Instrumentation
Dmitrii D. Firsov, Semyon A. Khakhulin, Oleg S. Komkov
Summary: A new method of reflection anisotropy spectroscopy (RAS) has been developed, which utilizes a Fourier transform infrared (FT-IR) spectrometer for increased mid-IR efficiency. The use of a photoelastic modulator (PEM) in the optical setup allows for modulation of the linear polarization direction of the probe beam. An original measurement algorithm is proposed to account for the spectral inhomogeneity of the PEM efficiency and preserve the sign of the RAS signal. The application of this method to layered black phosphorus enables characterization of anisotropic interband transitions in this graphene-like semiconductor crystal.
APPLIED SPECTROSCOPY
(2023)
Article
Instruments & Instrumentation
Timothy J. Johnson, Tracy J. Baker, Ashley M. Bradley, Michael O. Yokosuk, Tanya L. Myers
Summary: We report an artifact arising from the back reflection in Fourier transform spectrometers. When samples are oriented normal to the incoming modulated beam, a certain percentage of light can reflect back to the interferometer and be modulated again, resulting in light appearing at twice its true frequency. We have successfully eliminated this artifact by implementing a rotation stage beneath the sample holder.
APPLIED SPECTROSCOPY
(2022)
Article
Instruments & Instrumentation
Eva Mariasole Angelin, Susana Franca de Sa, Ines Soares, Maria Elvira Callapez, Joana Lia Ferreira, Maria Joao Melo, Mauro Bacci, Marcello Picollo
Summary: Plastics are increasingly used in modern and contemporary art and design, posing a challenge for heritage conservation due to degradation issues. Infrared spectroscopy is a well-established method for analyzing polymeric materials, but limitations exist for in situ investigation of fragile or degraded plastics. Reflectance spectroscopy offers a potential alternative for rapid measurements with minimal contact, though spectral interpretation can be challenging.Comparative studies between different reflectance FT-IR modes, such as ER FT-IR and DRIFTS, have not been extensively explored yet, and this study contributes to a better understanding of their application in plastic analysis.
APPLIED SPECTROSCOPY
(2021)
Article
Spectroscopy
A. Falamas, C. I. Faur, S. Ciupe, M. Chirila, H. Rotaru, M. Hedesiu, S. Cinta Pinzaru
Summary: This study tested a saliva samples preparation method for oral and oropharyngeal cancer diagnosis using micro-Raman and FT-IR spectroscopic techniques. Biomarker bands for cancer classification were identified, with a significant vibrational band at 2064 cm(-1) observed in both datasets. The oral and oropharyngeal cancer could be differentiated with 90% accuracy using micro-Raman data and 82% accuracy using FT-IR data.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Instruments & Instrumentation
Pilar Gema Rodriguez-Ortega, Magdalena Sanchez-Valera, Juan Jesus Lopez-Gonzalez, Manuel Montejo
Summary: Through studying the molecular structure and solution-state molecular interactions of the non-steroidal anti-inflammatory drug ketoprofen, it has been found that there are linear arrays instead of cyclic dimeric structures in its solution. This observation is important for understanding molecular self-assembly.
APPLIED SPECTROSCOPY
(2022)
Article
Oncology
Yuhua Ma, Fei Liang, Min Zhu, Cheng Chen, Chen Chen, Xiaoyi Lv
Summary: This study used FT-IR technology and PSO-CNN model for early screening of cervical cancer, and the results showed the potential of the model in accurately identifying patients and intelligent diagnosis of other diseases.
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY
(2022)
Article
Gastroenterology & Hepatology
K. Jessica Norberg, Salvatore Nania, Xuan Li, Hui Gao, Peter Szatmary, Ralf Segersvard, Stephan Haas, Annika Wagman, Urban Arnelo, Robert Sutton, Rainer L. Heuchel, J. Matthias Lohr
Article
Gastroenterology & Hepatology
Erik von Seth, Helena Ouchterlony, Katalin Dobra, Anders Hjerpe, Urban Arnelo, Stephan Haas, Annika Bergquist
LIVER INTERNATIONAL
(2019)
Article
Gastroenterology & Hepatology
Serena Stigliano, Alexander Waldthaler, Emma Martinez-Moneo, Luana Lionetto, Stuart Robinson, Marko Malvik, Aleksandra Hedstrom, Aleksandra Kaczka, Marius Scholdei, Stephan Haas, Maurizio Simmaco, Gianfranco Delle Fave, Matthias Lohr, Peter Simon, Gabriele Capurso
CLINICAL AND TRANSLATIONAL GASTROENTEROLOGY
(2018)
Article
Gastroenterology & Hepatology
Soren S. Olesen, Camilla Nojgaard, Jakob L. Poulsen, Stephan L. Haas, Miroslav Vujasinovic, Matthias Lohr, Bjorn Lindkvist, Louise Bexander, Antanas Gulbinas, Evangelos Kalaitzakis, Mohamed Ebrahim, Friedemann Erchinger, Trond Engjom, Stine Roug, Srdan Novovic, Truls Hauge, Anne Waage, Johanna Laukkarinen, Mikael Parhiala, Aldis Pukitis, Imanta Ozola-Zalite, Asbjorn M. Drewes
AMERICAN JOURNAL OF GASTROENTEROLOGY
(2019)
Article
Gastroenterology & Hepatology
Miroslav Vujasinovic, Aleksandra Hedstrom, Patrick Maisonneuve, Roberto Valente, Henrik von Horn, J-Matthias Lohr, Stephan L. Haas
WORLD JOURNAL OF GASTROENTEROLOGY
(2019)
Article
Medicine, General & Internal
Miroslav Vujasinovic, Raffaella Maria Pozzi Mucelli, Roberto Valente, Caroline Sophie Verbeke, Stephan L. Haas, J-Matthias Lohr
JOURNAL OF CLINICAL MEDICINE
(2019)
Article
Gastroenterology & Hepatology
Soren S. Olesen, Louise Kuhlmann, Srdan Novovic, Camilla Nojgaard, Evangelos Kalaitzakis, Nanna M. Jensen, Trond Engjom, Georg Dimcevski, Anne Waage, Stephan L. Haas, Miroslav Vujasinovic, Romualdas Riauka, Aldis Pukitis, Manta Ozola-Zalite, Alexey Okhlobystin, Mikael Parhiala, Johanna Laukkarinen, Asbjorn M. Drewes
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
(2020)
Article
Gastroenterology & Hepatology
Soren S. Olesen, Maria Valeryevna Lisitskaya, Asbjorn M. Drewes, Srdan Novovic, Camilla Nojgaard, Evangelos Kalaitzakis, Nanna M. Jensen, Trond Engjom, Friedemann Erchinger, Anne Waage, Truls Hauge, Stephan L. Haas, Miroslav Vujasinovic, Bjorn Lindkvist, Kristina Zviniene, Aldis Pukitis, Imanta Ozola-Zalite, Alexey Okhlobystin, Mikael Parhiala, Johanna Laukkarinen, Jens B. Frokjaer
Article
Gastroenterology & Hepatology
Soren S. Olesen, Jakob L. Poulsen, Srdan Novovic, Camilla Nojgaard, Evangelos Kalaitzakis, Nanna M. Jensen, Trond Engjom, Erling Tjora, Anne Waage, Truls Hauge, Stephan L. Haas, Miroslav Vujasinovic, Giedrius Barauskas, Aldis Pukitis, Imanta Ozola-Zalite, Alexey Okhlobystin, Mikael Parhiala, Johanna Laukkarinen, Asbjorn M. Drewes
UNITED EUROPEAN GASTROENTEROLOGY JOURNAL
(2020)
Article
Gastroenterology & Hepatology
Erling Tjora, Georg Dimcevski, Stephan L. Haas, Friedemann Erchinger, Miroslav Vujasinovic, Matthias Lohr, Camilla Nojgaard, Srdan Novovic, Imanta Ozola Zalite, Aldis Pukitis, Truls Hauge, Anne Waage, Stine Roug, Evangelos Kalaitzakis, Bjorn Lindkvist, Soren Schou Olesen, Trond Engjom
Article
Gastroenterology & Hepatology
Miroslav Vujasinovic, Pia Maier, Hartwig Maetzel, Roberto Valente, Raffaella Pozzi-Mucelli, Carlos F. Moro, Stephan L. Haas, Karouk Said, Caroline S. Verbeke, Patrick Maisonneuve, J-Matthias Lohr
UNITED EUROPEAN GASTROENTEROLOGY JOURNAL
(2020)
Article
Endocrinology & Metabolism
Stephan L. Haas, Patrik Lofgren, Per Stal, Johan Hoffstedt
Summary: In obese patients with type-2 diabetes, a very low-calorie diet can significantly reduce plasma glucagon levels, decrease body weight, blood glucose, insulin, liver fat, and liver stiffness.
EXPERIMENTAL AND CLINICAL ENDOCRINOLOGY & DIABETES
(2022)
Review
Gastroenterology & Hepatology
Jutta Keller, Heinz F. Hammer, Paul R. Afolabi, Marc Benninga, Osvaldo Borrelli, Enrique Dominguez-Munoz, Dan Dumitrascu, Oliver Goetze, Stephan L. Haas, Bruno Hauser, Daniel Pohl, Silvia Salvatore, Marc Sonyi, Nikhil Thapar, Kristin Verbeke, Mark R. Fox
Summary: C-13-breath tests are valuable diagnostic tools for assessing gastrointestinal symptoms and diseases, but lack standardization in performance and interpretation. This clinical practice guideline aims to define the indications, performance, and interpretation of these tests, with input from experts across Europe.
UNITED EUROPEAN GASTROENTEROLOGY JOURNAL
(2021)
Article
Gastroenterology & Hepatology
Aleksandra Hedstrom, Marika Kvarnstrom, Greger Lindberg, Sandra Alsabeah, Hanna Alsabeah, Nelson Ndegwa, J. Matthias Lohr, Stephan L. Haas, Miroslav Vujasinovic
Summary: In this study, it was found that most patients with SS experienced gastrointestinal symptoms resembling irritable bowel syndrome (IBS), which could not be attributed to PEI.
SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY
(2022)
Article
Genetics & Heredity
Jan Gehlen, Ann-Sophie Giel, Ricarda Koellges, Stephan L. Haas, Rong Zhang, Jiri Trcka, Ayse O. Sungur, Florian Renziehausen, Dorothea Bornholdt, Daphne Jung, Paul D. Hoyer, Agneta Nordenskjold, Dick Tibboel, John Vlot, Manon C. W. Spaander, Robert Smigiel, Dariusz Patkowski, Nel Roeleveld, Iris Alm van Rooij, Ivo de Blaauw, Alice Hoelscher, Marcus Pauly, Andreas Leutner, Joerg Fuchs, Joel Niethammer, Maria-Theodora Melissari, Ekkehart Jenetzky, Nadine Zwink, Holger Thiele, Alina Christine Hilger, Timo Hess, Jessica Trautmann, Matthias Marks, Martin Baumgarten, Gaby Blaess, Mikael Landen, Bengt Fundin, Cynthia M. Bulik, Tracie Pennimpede, Michael Ludwig, Kerstin U. Ludwig, Elisabeth Mangold, Stefanie Heilmann-Heimbach, Susanne Moebus, Bernhard G. Herrmann, Kristina Alsabeah, Carmen M. Burgos, Helene E. Lilja, Sahar Azodi, Pernilla Stenstrom, Einar Arnbjornsson, Barbora Frybova, Dariusz M. Lebensztejn, Wojciech Debek, Elwira Kolodziejczyk, Katarzyna Kozera, Jaroslaw Kierkus, Piotr Kalicinski, Marek Stefanowicz, Anna Socha-Banasiak, Michal Kolejwa, Anna Piaseczna-Piotrowska, Elzbieta Czkwianianc, Markus M. Noethen, Phillip Grote, Michal Rygl, Konrad Reinshagen, Nicole Spychalski, Barbara Ludwikowski, Jochen Hubertus, Andreas Heydweiller, Benno Ure, Oliver J. Muensterer, Ophelia Aubert, Jan-Hendrik Gosemann, Martin Lacher, Petra Degenhardt, Thomas M. Boemers, Anna Mokrowiecka, Ewa Malecka-Panas, Markus Woehr, Michael Knapp, Guido Seitz, Annelies de Klein, Grzegorz Oracz, Erwin Brosens, Heiko Reutter, Johannes Schumacher
Summary: This study identifies three risk loci and candidate genes associated with esophageal atresia with or without tracheoesophageal fistula (EA/TEF) through a genome-wide association study (GWAS), providing insights into the genetic architecture of EA/TEF.
HUMAN GENETICS AND GENOMICS ADVANCES
(2022)
