A fast, reliable and economical methodology has been developed to control the production process of sugar-based depilatories. The method is based on the use of attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy in combination with multivariate data analysis. A very simple sample preparation process involving the dissolution of samples in water was applied. Employing a multivariate calibration model established from data of 15 well characterized samples, prediction errors equal or below 3.04 mg mL(-1) for the quantitative determination of fructose, glucose, sucrose, maltose and maltotriose were obtained. Results found in this preliminary study indicate a great potential for the development of at-line ATR-FTIR-PLS methods based on a careful selection of variables from IR spectra, delivering fast and reliable results. As a reference method, a liquid chromatography (LC)-IR method was adapted for sample characterization.
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http://dx.doi.org/10.1016/j.talanta.2012.06.072 | DOI Listing |
BMC Gastroenterol
January 2025
Health Management Center, the First Affiliated Hospital of Zhejiang University School of Medicine, No.79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China.
Objectives: Over 30% of people worldwide suffer from metabolic dysfunction-associated steatotic liver disease (MASLD), a significant global health issue. Identifying and preventing high-risk individuals for MASLD early is crucial. The purpose of our study is to investigate the factors related to the development of MASLD and develop a risk prediction model for its occurrence.
View Article and Find Full Text PDFSci Data
January 2025
School of Engineering, University of Applied Sciences and Arts of Western Switzerland HES-SO, 1951, Sion, Switzerland.
With the ongoing energy transition, power grids are evolving fast. They operate more and more often close to their technical limit, under more and more volatile conditions. Fast, essentially real-time computational approaches to evaluate their operational safety, stability and reliability are therefore highly desirable.
View Article and Find Full Text PDFProtein Sci
February 2025
MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
An important step of mainstream protein structure prediction is to model the 3D protein structure based on the predicted 2D inter-residue geometric information. This folding step has been integrated into a unified neural network to allow end-to-end training in state-of-the-art methods like AlphaFold2, but is separately implemented using the Rosetta folding environment in some traditional methods like trRosetta. Despite the inferiority in prediction accuracy, the conventional approach allows for the sampling of various protein conformations compatible with the predicted geometric constraints, partially capturing the dynamic information.
View Article and Find Full Text PDFInt J Gen Med
January 2025
School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, People's Republic of China.
Purpose: Conventional brain MRI protocols are time-consuming, which can lead to patient discomfort and inefficiency in clinical settings. This study aims to assess the feasibility of using artificial intelligence-assisted compressed sensing (ACS) to reduce brain MRI scan time while maintaining image quality and diagnostic accuracy compared to a conventional imaging protocol.
Patients And Methods: Seventy patients from the department of neurology underwent brain MRI scans using both conventional and ACS protocols, including axial and sagittal T2-weighted fast spin-echo sequences and T2-fluid attenuated inversion recovery (FLAIR) sequence.
BMC Public Health
January 2025
School of Public Health, Southeast University, Nanjing. 87 Dingjiaqiao Road, Nanjing, China.
Background: Triglyceride-glucose (TyG) index was regarded as a cost-efficient and reliable clinical surrogate marker for insulin resistance (IR), which was significantly correlated with cardiovascular disease (CVD). However, the TyG index and incident CVD in non-diabetic hypertension patients remains uncertain. The aim of study was to explore the impact of TyG index level and variability on risk of CVD among non-diabetic hypertension patients.
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