Results 51 to 60 of about 78,717 (275)

Extracting Information and Enhancing the Quality of Separation Data: A Review on Chemometrics-Assisted Analysis of Volatile, Soluble and Colloidal Samples

Chemosensors, 2023
Instrument automation, technological advancements and improved computational power made separation science an extremely data-rich approach, requiring the use of statistical and data analysis tools that are able to optimize processes and combine multiple ...
Alessandro Zappi, Valentina Marassi, Stefano Giordani, Nicholas Kassouf, Barbara Roda, Andrea Zattoni, Pierluigi Reschiglian, Dora Melucci   +7 more
doaj   +1 more source

Real‐time fault detection in multicomponent nuclear‐waste slurries through data fusion of spectroscopic sensors

AIChE Journal, EarlyView.
Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse, Ronald W. Rousseau, Martha A. Grover   +2 more
wiley   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

Advanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

Surface‐Coated Inorganic Nanomaterials for Drug Delivery: Chemical Design, Biomedical Applications, and Mechanistic Insights

Advanced NanoBiomed Research, EarlyView.
This review explores how surface‐coated inorganic nanomaterials are chemically engineered for advanced drug delivery. It highlights design principles, coating strategies, and biomedical applications, emphasizing how surface chemistry governs biocompatibility, targeting, and controlled release.
Hossein Daneshgar, Sepideh Ahmadi, Nikzad Abbariki, Navid Rabiee, Sidi A. Bencherif   +4 more
wiley   +1 more source

Development of an interfering peptide M1-20 with potent anti-cancer effects by targeting FOXM1

Cell Death and Disease, 2023
Disrupting protein–protein interactions (PPIs) has emerged as a promising strategy for cancer drug development. Interfering peptides disrupting PPIs can be rationally designed based on the structures of natural sequences mediating these interactions ...
Huitong Bu, Xianling Lan, Haojie Cheng, Chaozhu Pei, Min Ouyang, Yan Chen, Xiaoqin Huang, Li Yu, Yongjun Tan   +8 more
doaj   +1 more source

Molecular design strategy to alleviate environmental interference on two-photon fluorescence probes

Cell Reports Physical Science, 2021
Summary: Electron donor-acceptor (D-A)-type molecules are the most widely employed two-photon scaffolds. Unfortunately, current D-A-type fluorophores suffer from serious solvent-dependent emission wavelength and brightness, thwarting their use for high ...
Xingxing Zhang, Tianbing Ren, Qianling Zhang, Ting Zeng, Zhe Li, Feiyu Yang, Xiaobing Zhang, Lin Yuan   +7 more
doaj   +1 more source

Harnessing Machine Learning and Deep Learning Approaches for Laser‐Induced Breakdown Spectroscopy Data Analysis: A Comprehensive Review

Analysis &Sensing, EarlyView.
Laser‐induced breakdown spectroscopy (LIBS), an atomic emission technique, is widely applied in fields like geology and biology. This rapid elemental analysis method leverages computational tools to boost precision and speed up data processing. This review explores machine learning and deep learning methods for analyzing LIBS spectral data, tackling ...
Pegah Dehbozorgi, Ludovic Duponchel, Vincent Motto‐Ros, Thomas Bocklitz   +3 more
wiley   +1 more source

Multivariate NIR studies of seed-water interaction in Scots Pine Seeds (Pinus sylvestris L.) [PDF]

, 2003
This thesis describes seed-water interaction using near infrared (NIR) spectroscopy, multivariate regression models and Scots pine seeds. The presented research covers classification of seed viability, prediction of seed moisture content, selection of ...
Lestander, Torbjörn
core  

Second-order calibration applied to quantification of two active components of Schisandra chinensis in complex matrix

Journal of Pharmaceutical Analysis, 2012
The effectiveness of traditional Chinese medicine (TCM) against various diseases urges more low cost, speed and sensitive analytical methods for investigating the phamacology of TCM and providing a theoretical basis for clinical use.
Xiao-Hua Zhang, Hai-Long Wu, Jian-Yao Wang, Yao Chen, Yong-Jie Yu, Chong-Chong Nie, Chao Kang, De-Zhu Tu, Ru-Qin Yu   +8 more
doaj   +1 more source

Rapid Determination of Association Constants using Routine Plate Reader Measurements

Analysis &Sensing, EarlyView.
A high‐throughput plate reader method enables rapid, accurate determination of host–guest binding constants and limits of detection using standard laboratory equipment. The approach is validated across diverse systems and supports machine learning regression, offering a robust analytical tool for supramolecular sensing and quantitative analysis. Though
Austin R. Sartori, Anjusha Prakash, Elnaz Safari, Mikhail Zamkov, Pavel Anzenbacher Jr   +4 more
wiley   +1 more source