Article
Health Care Sciences & Services
Francis L. Martin, Camilo L. M. Morais, Andrew W. Dickinson, Tarek Saba, Thomas Bongers, Maneesh N. Singh, Danielle Bury
Summary: Saliva can be used as a liquid biopsy for screening lung cancer and prostate cancer. By analyzing the bioconstituents in saliva samples using infrared spectroscopy and principal component analysis, a highly accurate model can be built for the detection of these cancers in primary care settings.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Review
Instruments & Instrumentation
Ricardo Fernandes dos Santos, Maria Paraskevaidi, Kassio M. G. Lima
Summary: One of the biggest challenges in Alzheimer's disease (AD) diagnosis is the development of high-performance and minimally invasive tools that can be used in real-time. Biospectroscopic techniques coupled with chemometrics have shown potential in identifying pathological changes in AD before symptoms appear.
APPLIED SPECTROSCOPY REVIEWS
(2023)
Article
Chemistry, Analytical
Cagri Cavdaroglu, Banu Ozen
Summary: Spectroscopic methods were used to predict quality and chemical parameters of vinegar processing, with accurate models obtained for most quality parameters through a combination of two spectroscopic datasets.
MICROCHEMICAL JOURNAL
(2021)
Article
Biochemistry & Molecular Biology
Monika Sachadyn-Krol, Iwona Budziak-Wieczorek, Izabella Jackowska
Summary: This study evaluated the antioxidant potential of strawberry and raspberry cultivars under treatment with gaseous ozone and refrigeration storage conditions. The chemical composition of the fruits was determined using conventional methods as well as FTIR spectroscopy coupled with chemometrics. The results showed that the cultivars and storage conditions significantly influenced the classification of berry puree samples.
Article
Biochemistry & Molecular Biology
Gongji Wang, Hao Wu, Canyu Yang, Zefeng Li, Run Chen, Xinggong Liang, Kai Yu, Huiyu Li, Chen Shen, Ruina Liu, Xin Wei, Qinru Sun, Kai Zhang, Zhenyuan Wang
Summary: The study utilized spectroscopy and chemometrics to establish a fast identification model for muscle trauma, effectively distinguishing trauma in rat and human muscle tissues. Through partial least squares discriminant analysis, high classification accuracies were achieved, demonstrating the feasibility and effectiveness of the method.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Chemistry, Analytical
Ismail Tarhan, Ilker Isik, Bilal Sogut
Summary: By using ATR-FTIR spectra and chemometrics, the firing conditions and mineral compositions of shard samples from the ancient city of Stratonikeia were successfully analyzed, determining different firing temperature ranges for each shard group.
MICROCHEMICAL JOURNAL
(2021)
Article
Chemistry, Analytical
Mohamed Fekhar, Yasmina Daghbouche, Naima Bouzidi, Mohamed El Hattab
Summary: Chemma, a popular oral moist snuff in Algeria, was analyzed using attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy combined with regression methods to determine the nicotine content. The developed method provided a reliable and quantitative assessment of nicotine in both the manufactured smokeless tobacco products and tobacco leaves. This method can be used for routine analysis and quality control of nicotine in tobacco and cigarettes.
MICROCHEMICAL JOURNAL
(2023)
Article
Spectroscopy
Mahsa Mohammadi, Mohammadreza Khanmohammadi Khorrami, Hamid Vatanparast, Hossein Ghasemzadeh
Summary: An analytical method using ATR-FTIR spectroscopy and chemometric methods was proposed for the quantitative determination of surface tension of anionic surfactant solutions in the presence of hydrophilic silica nanoparticles. The addition of silica nanoparticles with different sizes significantly alters the surface tension behavior of anionic surfactant solutions. Support vector machine regression and partial least squares regression were used for surface tension prediction, with SVM-R found to be reliable due to the complexity of the samples.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Review
Biochemistry & Molecular Biology
M. Dolores Molina, Francesc Cebria
Summary: Planarians are flatworms capable of regenerating any part of their bodies, thanks to the presence of somatic pluripotent stem cells known as neoblasts. The study of neoblasts has been advanced through technologies like FACS isolation, RNAi analysis, and single-cell sequencing, leading to a deeper understanding of their biology and differentiation into specific cell types within planarians.
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
Agriculture, Multidisciplinary
Alexandre G. M. de Freitas, Barbara E. A. de Magalhaes, Lucas A. C. Minho, Danilo J. Leao, Leandro S. Santos, Sergio Augusto de Albuquerque Fernandes
Summary: The study demonstrates that the combination of ATR-FTIR spectroscopy with MLP and PLS algorithms is effective in identifying milk samples contaminated with tylosin and predicting very low concentrations of tylosin residues in milk. The FTIR with chemometrics proves to be a non-destructive, efficient, and low-cost method for analyzing tylosin residues in fluid milk.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2021)
Article
Multidisciplinary Sciences
Liana Fasching, Yeongjun Jang, Simone Tomasi, Jeremy Schreiner, Livia Tomasini, Melanie Brady, Taejeong Bae, Vivekananda Sarangi, Nikolaos Vasmatzis, Yifan Wang, Anna Szekely, Thomas Fernandez, James F. Leckman, Alexej Abyzov, Flora M. Vaccarino
Summary: The study found that mosaic mutations can help track cell lineages in humans, with different efficiencies of DNA repair potentially contributing to lineage imbalances. By analyzing cell lineages, insights into cell division, tissue formation, and disease development can be gained.
Article
Automation & Control Systems
Nikolas Mateus Pereira de Souza, Brenda Hunter Machado, Licerio Vicente Padoin, Daniel Pra, Andre Poisl Fay, Mayara de Arruda Tomaz, Valeriano Antonio Corbellini, Alexandre Rieger
Summary: Attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy was used as a rapid and non-invasive bioscreening tool for breast cancer detection in blood plasma. Three PLS-ANNDA models were created to differentiate cancer from non-cancer subjects, group molecular subtypes, and individually discriminate subtypes. Significant spectral differences were found in four intervals for molecular subtypes and control. The peak at 1739 cm-1 was the most sensitive for breast cancer screening. ATR-FTIR coupled with PLS-ANNDA shows promise as a screening option for breast cancer.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Ashton C. Trotman-Grant, Mahmood Mohtashami, Joshua De Sousa Casal, Elisa C. Martinez, Dylan Lee, Sintia Teichman, Patrick M. Brauer, Jianxun Han, Michele K. Anderson, Juan Carlos Zuniga-Pflucker
Summary: A stromal cell-free, microbead-based approach has been developed to efficiently generate T-lineage cells from various cell sources, including cord blood, GCSF-mobilized peripheral blood, and pluripotent stem cells. The method involves the use of DL4-mu beads and lymphopoietic cytokines to induce a sequential differentiation process leading to the development of functional T cells. Single-cell RNA sequencing of human pluripotent stem cell-derived proT cells shows a transcriptional profile similar to early thymocytes. Adoptive transfer of CD34(+)CD7(+) proT cells into immunodeficient mice demonstrates successful thymic engraftment and maturation of peripheral T cells. The DL4-mu bead platform provides a simple and robust tool for studying human T cell development and developing engineered T cell therapies from sustainable sources.
NATURE COMMUNICATIONS
(2021)
Review
Medicine, Legal
Danielle Kochenborger John, Klester dos Santos Souza, Marco Flores Ferrao
Summary: The use of non-destructive forensic methods for cocaine identification is crucial due to the large number of seized samples. Spectroscopic techniques such as ATR-FTIR, Raman, and NIR spectroscopy offer fast and cost-effective analysis, along with the reanalysis of samples. When combined with chemometrics, these methods allow for accurate determination and quantification of cocaine, overcoming the limitations of existing techniques. This review article comprehensively discusses the application of spectroscopic techniques in identifying cocaine in various forms and matrices, including food and textiles used for smuggling. It also explores the chemometric identification of cocaine in oral fluid and water, as well as the use of portable equipment for vibrational spectroscopy. The article aims to evaluate the main chemometric applications of spectroscopic data and provide new perspectives on cocaine identification using chemometrics.
FORENSIC SCIENCE INTERNATIONAL
(2023)
Article
Behavioral Sciences
Guilherme Bauer-Negrini, Iohanna Deckmann, Gustavo Brum Schwingel, Mauro Mozael Hirsch, Mellanie Fontes-Dutra, Giovanna Carello-Collar, Diane E. Halliwell, Maria Paraskevaidi, Camilo L. M. Morais, Francis L. Martin, Rudimar Riesgo, Carmem Gottfried, Victorio Bambini-Junior
Summary: This study investigated the impact of T-cell immunodeficiency on behaviors relevant to neurodevelopmental and neuropsychiatric disorders and characterized related alterations through multidisciplinary approaches. Results showed that BALB/c nude mice displayed impaired sociability, a complex pattern of repetitive behaviors, and increased sensitivity to thermal nociception, along with a different CNS spectrochemical signature compared to their heterozygous littermates. These findings highlight potential neuroimmunological influences involved with the observed alterations.
BEHAVIOURAL BRAIN RESEARCH
(2022)
Article
Engineering, Environmental
Meiping Tian, Camilo L. M. Morais, Heqing Shen, Weiyi Pang, Li Xu, Qingyu Huang, Francis L. Martin
Summary: Microplastics contamination is widespread in global environmental matrices, and efficient methods for direct identification and visualization of these pollutants are needed. This study used MCR-ALS analysis of Raman hyperspectral imaging data to successfully identify and visualize microplastics in complex backgrounds, demonstrating a novel imaging approach for direct identification of microplastics. By extracting chemical spectra of microplastics within biological or environmental backgrounds, this method eliminates overlapping Raman bands and fluorescence interference.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Oncology
Taha Lilo, Camilo L. M. Morais, Catriona Shenton, Arup Ray, Nihal Gurusinghe
Summary: Fourier-transform infrared (FT-IR) and Raman spectroscopy are widely used as sensor-based techniques in oncology, especially in the diagnosis of brain cancers. These techniques have become increasingly sensitive, with accuracies of over 90% observed in multiple studies, indicating their potential for clinical implementation. This mini-review revisits the fundamentals of FT-IR and Raman spectroscopy and their applications in brain cancer detection in the literature.
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY
(2022)
Article
Spectroscopy
Taha Lilo, Camilo L. M. Morais, Katherine M. Ashton, Charles Davis, Timothy P. Dawson, Francis L. Martin, Jane Alder, Gareth Roberts, Arup Ray, Nihal Gurusinghe
Summary: Meningiomas, the most common benign brain tumors, are classified into different grades based on their growth rate and recurrence risk. Accurately determining the tumor grade is crucial for surgical outcomes and patient treatment. Researchers have developed a spectrochemical imaging technique called Raman hyperspectral imaging, which can effectively differentiate between grade I and grade II meningioma samples. This technique shows great potential for real-time assessment of meningioma grade during surgery.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Parasitology
Hellyda K. T. de Andrade Silva, Taciano M. Barbosa, Marfran C. D. Santos, Jessica T. Jales, Antonio M. U. de Araujo, Camilo L. M. Morais, Leomir A. S. de Lima, Tatiana C. Bicudo, Renata A. Gama, Pablo Alves Marinho, Kassio M. G. Lima
Summary: The study used attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy to detect toxic substances in fly larvae from decomposing carcasses, which can assist criminal experts in determining the cause of death in suspected poisoning cases.
Review
Instruments & Instrumentation
Ricardo Fernandes dos Santos, Maria Paraskevaidi, Kassio M. G. Lima
Summary: One of the biggest challenges in Alzheimer's disease (AD) diagnosis is the development of high-performance and minimally invasive tools that can be used in real-time. Biospectroscopic techniques coupled with chemometrics have shown potential in identifying pathological changes in AD before symptoms appear.
APPLIED SPECTROSCOPY REVIEWS
(2023)
Article
Multidisciplinary Sciences
Tales Gomes da Silva, Camilo L. M. Morais, Marfran C. D. Santos, Leomir A. S. de Lima, Raysa Vanessa de Medeiros Freitas, Ricardo Oliveira Guerra, Kassio M. G. Lima
Summary: This study used mid-infrared spectroscopy combined with chemometric techniques to identify osteosarcopenia based on blood serum samples. The results showed that the infrared spectroscopy of blood samples has the potential to identify osteosarcopenia in a simple, fast, and objective way.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Marcelo V. S. Alves, Lanaia I. L. Maciel, Joao O. S. Passos, Camilo L. M. Morais, Marfran C. D. dos Santos, Leomir A. S. Lima, Boniek G. Vaz, Rodrigo Pegado, Kassio M. G. Lima
Summary: This study chemically analyzed blood plasma samples from patients with and without fibromyalgia, combined with symptoms used in the diagnosis of this disease. Spectral data were organized into datasets and submitted to multivariate classification, resulting in good discrimination between controls and fibromyalgia samples. The results confirmed the technique as a good analytical tool for fibromyalgia detection and provided theoretical support for further studies on fibromyalgia diagnosis.
SCIENTIFIC REPORTS
(2023)
Article
Health Care Sciences & Services
Francis L. Martin, Camilo L. M. Morais, Andrew W. Dickinson, Tarek Saba, Thomas Bongers, Maneesh N. Singh, Danielle Bury
Summary: Saliva can be used as a liquid biopsy for screening lung cancer and prostate cancer. By analyzing the bioconstituents in saliva samples using infrared spectroscopy and principal component analysis, a highly accurate model can be built for the detection of these cancers in primary care settings.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Health Care Sciences & Services
Ishaan Maitra, Camilo L. M. Morais, Kassio M. G. Lima, Katherine M. Ashton, Danielle Bury, Ravindra S. Date, Francis L. Martin
Summary: This study demonstrates the potential of ATR-FTIR spectroscopy in classifying and differentiating different stages of oesophageal transformation to oesophageal adenocarcinoma. The study used various algorithms for variable selection and classification, with PCA-QDA showing the highest accuracy in classification. The findings highlight the importance of further research in identifying biochemical markers for early detection of neoplastic changes in susceptible epithelium.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Chemistry, Analytical
Weiyi Pang, Yu Xing, Camilo L. M. Morais, Qiufeng Lao, Shengle Li, Zipeng Qiao, You Li, Maneesh N. Singh, Valerio G. Barauna, Francis L. Martin, Zhiyong Zhang
Summary: Diabetes mellitus (DM) is a metabolic disease that is of increasing global concern. The diagnosis and detection of DM and pre-diabetes are currently complicated, expensive, and time-consuming. In this study, a discriminant model was developed using attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy combined with principal component analysis linear discriminant analysis (PCA-LDA), which resulted in a high accuracy rate of 97% for diagnosing DM and pre-diabetes. This approach has significant clinical implications for intervention and risk reduction.
Article
Multidisciplinary Sciences
Ricardo Fernandes dos Santos, Maria Paraskevaidi, David M. A. Mann, David Allsop, Marfran C. D. Santos, Camilo L. M. Morais, Kassio M. G. Lima
Summary: This study utilizes fluorescence spectroscopy and machine learning to diagnose Alzheimer's disease (AD) using blood plasma samples. The classification models show satisfactory results, indicating the potential of a rapid, low-cost, and minimally invasive blood-based AD diagnosis method.
SCIENTIFIC REPORTS
(2022)
