Article
Biochemical Research Methods
Eugene Brozgol, Pramod Kumar, Daniela Necula, Irena Bronshtein-Berger, Moshe Lindner, Shlomi Medalion, Lee Twito, Yotam Shapira, Helena Gondra, Iris Barshack, Yuval Garini
Summary: The escalating demand for diagnosing pathological biopsies requires expedited and automated procedures. A developed system rapidly acquires spectral images from biopsies, followed by spectral classification algorithms. The spectral information is more informative than color information and provides high accuracy in identifying cancer cells.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Environmental Sciences
Mikael Kedzierski, Edouard Geslain, Maria Luiza Pedrotti, Jean-Francois Ghiglione, Stephane Bruzaud
Summary: This study introduces a new pre-detection method for microplastics based on mid-infrared imaging, which allows for quick identification of plastic particles using thermal cameras and amplifying the contrast with image processing tools. This method accelerates microplastic research and proposes hypotheses on the chemical nature of the identified particles.
Article
Biochemistry & Molecular Biology
Magdalena Kolodziej, Karolina Chrabaszcz, Ewa Pieta, Natalia Piergies, Julia Rudnicka-Czerwiec, Halina Bartosik-Psujek, Czeslawa Paluszkiewicz, Marian Cholewa, Wojciech M. Kwiatek
Summary: Multiple sclerosis (MS) is a chronic neurodegenerative disease that affects the central nervous system. The diagnosis of MS is crucial for successful treatment, and it typically involves clinical observation, MRI, and analysis of cerebrospinal fluid (CSF). In this study, the researchers propose using spectroscopy as an alternative diagnostic tool, specifically Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy. By analyzing blood plasma and serum samples from MS patients and healthy individuals, the researchers identified specific spectral patterns that can differentiate between MS samples and non-MS samples.
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
(2022)
Article
Chemistry, Analytical
Puneet Mishra, Menno Sytsma, Aneesh Chauhan, Gerrit Polder, Erik Pekkeriet
Summary: Spectral imaging is widely used in analytical chemistry to assess the spatial distribution of physicochemical properties in samples. However, the main challenge lies in the extensive system integration and calibration modeling required by the available sensors. To address this, this study presents an intelligent All-In-One spectral imaging laboratory system that enables standardized automated data acquisition and real-time model deployment.
ANALYTICA CHIMICA ACTA
(2022)
Article
Spectroscopy
Hao Wu, Zefeng Li, Xinggong Liang, Run Chen, Kai Yu, Xin Wei, Gongji Wang, Wumin Cai, Huiyu Li, Qinru Sun, Zhenyuan Wang
Summary: In this study, a rat model of delayed splenic rupture was constructed and evaluated using various staining techniques. The pathological changes of spleen tissue at different times after splenic injury were observed, and the relationship between these changes and FTIR spectroscopy was investigated. The results showed that injured tissues had different protein secondary structures compared to non-injured tissues, and different phases of delayed splenic rupture could be distinguished by protein secondary structures and the content of amide I and amide II. A classification model based on SVM-DA accurately inferred the phases of splenic rupture. These findings suggest that FTIR spectroscopy combined with pathological staining techniques has the potential for forensic identification and can provide diagnostic support for clinical persistent injuries.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Spectroscopy
Gonul Akin Geyik, Betul Peker Cengiz, Fuzuli Tugrul, Sukriye Nihan Karuk Elmas, Ibrahim Yilmaz, Fatma Nur Arslan
Summary: This study demonstrates the feasibility of using ATR-MIR spectroscopy combined with chemometrics for the rapid diagnosis of gastric and colon cancers. Significant spectral differences were observed for molecular contents in the cancer samples compared to the control samples, indicating the potential of using these spectral biomarkers for cancer diagnosis.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Spectroscopy
Anjali Tomar, Reeta R. Gupta, Amanpreet Kaur, J. K. Semwal, Sanjeev Kumar, S. K. Mehta, Shweta Sharma
Summary: This study examines thermal papers using non-destructive methods such as ATR-FTIR spectroscopy and Video Spectral Comparator (VSC), showing high discriminating power through qualitative and quantitative analysis. Multivariate analysis using HCA and PCA demonstrates the effectiveness of the study, which also analyzes the impact of different storage conditions on the fading rate of thermal papers.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Food Science & Technology
Andrews A. Boateng, Salma Sumaila, Michael Lartey, Mahmood B. Oppong, Kwabena F. M. Opuni, Lawrence A. Adutwum
Summary: This study aimed to evaluate the performance of different algorithms in detecting syrup adulteration in honey. It was found that Gradient boosted discriminant analysis (GBDA) and Support vector machines discriminant analysis (SVMDA) showed excellent performance in classification prediction, while feature selection did not improve prediction accuracy. For regression prediction, Gradient boosted regression (GBR) performed well.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Applied
Thomas A. Teklemariam, John Moisey, Jason Gotera
Summary: ATR-FTIR combined with chemometrics was explored as a rapid method of detecting sugar adulteration in coconut water. The method enabled the prediction of adulterant sugars and showed potential for screening samples for undeclared sugar additions.
Article
Gastroenterology & Hepatology
Kristina G. Hulten, Robert M. Genta, Ira N. Kalfus, Yi Zhou, Hongjun Zhang, David Y. Graham
Summary: This study compared the antimicrobial susceptibility testing of H. pylori using targeted next-generation sequencing (NGS) and culture-based methods. The results showed that NGS was reliable in predicting resistance to clarithromycin, levofloxacin, rifabutin, and tetracycline, while having fair consistency for metronidazole and amoxicillin. Culture-based testing can effectively predict treatment outcomes with clarithromycin and levofloxacin, and further studies are needed to compare the predictive ability of both methods for other antibiotics.
Article
Materials Science, Composites
Tanja Marina Vetter, Felix Zimmer, Sebastian Eibl, Hans-Joachim Gudladt
Summary: The study investigated structural, mechanical, and chemical changes of thermally loaded CFRPs, aiming to predict residual strength and delamination depth using infrared spectroscopy. By analyzing ILSS and delamination depth, it was found that models considering varying sample thicknesses and heat fluxes can accurately predict performance changes in CFRPs.
POLYMER COMPOSITES
(2021)
Article
Food Science & Technology
Kok Ming Goh, M. Maulidiani, R. Rudiyanto, Faridah Abas, Oi Ming Lai, Kar Lin Nyam, Fahad A. Alharthi, Imededdine Arbi Nehdi, Chin Ping Tan
Summary: In this study, chemometric analysis of palm-based cooking oil spectra was used to establish models predicting GE content, which were further validated using GC-MS and NMR. The consensus regression model showed a high prediction accuracy with a coefficient of determination (R2) value of 0.79. The presence of GE in samples was confirmed using 1H NMR spectroscopy.
Article
Pathology
Manli Zhao, Zhonghai Guan, Liang Gong, Fei Liu, Weizhong Gu, Lei Liu, Kewen Jian, Jiabin Cai, Chunyue Feng, Chik hong Kuick, Kenneth Tou En Chang, Jinhu Wang, Hongfeng Tang, Minzhi Yin, Jianhua Mao
Summary: The utility of ultrasensitive single-cell RNA in situ hybridisation (RNAscope), immunohistochemistry, and RT-qPCR on formalin-fixed, paraffin-embedded tumour samples as diagnostic tools for detecting TERT expression in neuroblastoma was assessed in this study. Results showed that RNA in situ hybridisation and RT-qPCR are suitable methods to evaluate TERT expression in neuroblastoma, and the combination of detection of the genomic alterations and TERT mRNA expression is a powerful strategy for telomere maintenance mechanism (TMM) activation detection.
Article
Chemistry, Analytical
Nikolai I. Sushkov, Gabor Galbacs, Patrick Janovszky, Nikolay V. Lobus, Timur A. Labutin
Summary: This study investigates the identification methods of zooplankton species through spectroscopic analysis and computer vision techniques. The results show that spectroscopic data is more useful than photo analysis, with the best performance achieved by the combined LIBS + Raman dataset. In addition, methods like principal component analysis can effectively distinguish zooplankton species.
Article
Food Science & Technology
Nur Cebi, Osman Taylan, Mona Abusurrah, Osman Sagdic
Summary: Lemon essential oil is economically important in the food and beverage industry, but is often adulterated, calling for effective analytical techniques. Research shows that FTIR spectroscopy combined with multivariate analyses is highly effective in detecting and quantifying adulterants in lemon essential oil.