Article
Engineering, Biomedical
Naara Gonzalez-Viveros, Jorge Castro-Ramos, Pilar Gomez-Gil, Hector Humberto Cerecedo-Nunez, Francisco Gutierrez-Delgado, Enrique Torres-Rasgado, Ricardo Perez-Fuentes, Jose L. Flores-Guerrero
Summary: This study proposed a non-invasive method using Raman spectroscopy, feature selection, and artificial neural networks to determine glycated hemoglobin and glucose levels in patients with undiagnosed T2D, achieving high specificity and sensitivity.
LASERS IN MEDICAL SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Yang Tao, Anjana Hevaganinge, Callie M. Weber, Anna Filatova, Amy Musser, Anthony Neri, Jessica Conway, Yiding Yuan, Maurizio Cattaneo, Alisa Morss Clyne
Summary: There is a need for a contactless multiplex sensor in the biopharmaceutical sector to detect metabolite levels in real time. The use of a SWIR HS camera allows for efficient and contactless collection of large spectral datasets for metabolite quantification.
Article
Spectroscopy
Feifei Pian, Qiaoyun Wang, Mingxuan Wang, Peng Shan, Zhigang Li, Zhenhe Ma
Summary: A 1D shallow convolutional neural network structure combined with elastic nets was proposed for predicting glucose concentration using Raman spectroscopy, showing better performance than conventional methods. The model demonstrated higher prediction accuracy and robustness in experiments.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Chemistry, Analytical
Zhejun Yang, Ren Zhang, Hui Chen, Jilie Kong
Summary: Sodium thiocyanate is a naturally antibacterial component in milk, but excessive consumption may pose potential risks to human health. In this study, a robust and cost-effective method based on surface-enhanced Raman spectroscopy (SERS) was developed for NaSCN detection using paper substrates deposited with in situ reduced Ag nanoparticles. The proposed method exhibited high sensitivity, a wide linear range, and good reproducibility, making it suitable for NaSCN detection and milk analysis.
Article
Medicine, Research & Experimental
Pietro Strobbia, Vanessa Cupil-Garcia, Bridget M. Crawford, Andrew M. Fales, T. Joshua Pfefer, Yang Liu, Martin Maiwald, Bernd Sumpf, Tuan Vo-Dinh
Summary: In this study, SERS nanoprobes combined with SERDS detection were used to accurately detect tumors in a xenograft murine model, demonstrating improved sensitivity and accuracy. This method has the potential to enhance the clinical translation of Raman/SERS biomedical applications.
Article
Instruments & Instrumentation
Tongshuai Han, Jin Liu, Rong Liu, Wenliang Chen, Mingfei Yao, Xueyu Liu, Qing Ge, Zengfu Zhang, Chenxi Li, Yuxiang Wang, Picheng Zhao, Di Sun, Kexin Xu
Summary: This study investigates a measurement strategy based on near-infrared spectroscopy to effectively detect glucose signals in a noninvasive manner. The strategy includes a customized detector and a fixing and aiming method to minimize the influence of human variations and probing conditions. Experimental results demonstrate the feasibility of the proposed strategy in detecting glucose in vivo.
APPLIED SPECTROSCOPY
(2022)
Article
Spectroscopy
Qiaoyun Wang, Feifei Pian, Mingxuan Wang, Shuai Song, Zhigang Li, Peng Shan, Zhenhe Ma
Summary: In this study, a convolutional neural network based on Gramian angular field (GAF-CNN) was proposed to predict the biochemical value of blood glucose using converted images of 1-D Raman spectral data. A total of 106 sets of blood spectrums were acquired by Fourier transform Raman spectroscopy, and spectral data ranging from 800 cm(-1) to 1800 cm(-1) were selected for quantitative analysis. Data augmentation, normalization, and principal component analysis were applied for training, dimension reduction, and information extraction. The GAF-CNN model outperformed in predicting glucose concentration and could be used to establish a calibration model for blood glucose prediction.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Chemistry, Multidisciplinary
Staffan Hildebrand, Norbert Lowa, Hendrik Paysen, Raluca M. Fratila, Laia Reverte-Salisa, Thithawat Trakoolwilaiwan, Zheming Niu, Georgios Kasparis, Stephanie Franziska Preuss, Olaf Kosch, Jesus M. de la Fuente, Nguyen Thi Kim Thanh, Frank Wiekhorst, Alexander Pfeifer
Summary: This study quantified in vivo uptake of dietary lipids by utilizing magnetic particle imaging (MPI) and magnetic particle spectroscopy (MPS) techniques. Loading artificial chylomicrons with iron oxide nanoparticles enabled rapid detection of lipid uptake, with potential for whole-animal scans. The focus on brown adipose tissue (BAT) highlighted its correlation with leanness and cardiometabolic health.
Article
Instruments & Instrumentation
Nathan Woodhouse, Jan Majer, Peter Marshall, Steve Hood, Ioan Notingher
Summary: Quantitative analysis of drug delivery in biological systems using Raman spectroscopy has been studied in rat brain and liver tissue models, showing promising results for assessing drug delivery in tissue applications.
APPLIED SPECTROSCOPY
(2023)
Article
Spectroscopy
Qiaoyun Wang, Guangfei Wu, Feifei Pian, Peng Shan, Zhigang Li, Zhenhe Ma
Summary: A reagent-free method for simultaneous and direct detection of glucose, TC, and TG in human blood based on FT-Raman spectroscopy was proposed. The method showed accurate prediction of analyte concentrations in blood.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Chemistry, Multidisciplinary
Sheng-Feng Cui, Hai-Long Yang, Si-Yu Lin, Jing-Wei Wan, Cheng-He Zhou
Summary: This study developed a method using excitation-emission matrix (EEM) fluorescence spectroscopy coupled with parallel factor (PARAFAC) analysis to successfully identify and quantify the four main ingredients of cannabis in urine samples. The method had low errors and limits of quantitation and showed good correlation with the traditional GC-MS method. This rapid and accurate screening tool is of great importance for monitoring cannabis abusers.
Article
Chemistry, Multidisciplinary
Sheng-Feng Cui, Hai-Long Yang, Si-Yu Lin, Jing-Wei Wan, Cheng-He Zhou
Summary: This study developed a method that combines EEM fluorescence spectroscopy with PARAFAC analysis to accurately identify and quantify cannabis in urine samples. The method has low error and detection limits, and shows good consistency with traditional GC-MS methods, making it suitable for rapid screening of cannabis abusers.
Article
Multidisciplinary Sciences
Nihad Achetib, Kim Falkena, Meghna Swayambhu, Maurice C. G. Aalders, Annemieke van Dam
Summary: Non-invasive, rapid, on-site detection and identification of body fluids is important in forensic investigations. This study investigated the fluorescent properties of different body fluids and found specific fluorescent signatures for their identification. The results showed that fluorescent behavior can be used as a non-invasive tool for body fluid identification, improving the current guidelines and providing robustness to fluorescence-based methods.
SCIENTIFIC REPORTS
(2023)
Article
Materials Science, Ceramics
Shannon E. Murray, Guangxin Lv, Soumitra S. Sulekar, David G. Cahill, Daniel P. Shoemaker
Summary: Flash sintering is established as a method to rapidly densify or induce phase transformation in materials through applying an electric field. In this study, in situ Raman spectroscopy was used to investigate defect complexes and phase transformations during flash sintering. The fast characterization demonstrated in this work can be combined with well-developed models to elucidate the densification mechanism during flash sintering.
JOURNAL OF THE AMERICAN CERAMIC SOCIETY
(2021)
Article
Materials Science, Ceramics
Chengjun Liu, Rui Zhang, Xuan Zhao, Jixiang Jia, Yi Min
Summary: The structures of phosphorus in CaO-SiO2-P2O5 glasses were analyzed through Raman spectroscopy and calibrated using P-31 MAS-NMR spectroscopy. It was found that CaO had a stronger ability to depolymerize [PO4]-tetrahedrons compared to [SiO4]-tetrahedrons, and the addition of P2O5 increased the degree of polymerization of Si.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2021)
