Showing results (61-70 of 88) with videos related to

Sort By:
Pageof 9
Analytical and Bioanalytical Chemistry|April 11, 2021
Nitrogen monoxide as dopant for enhanced selectivity of isomeric monoterpenes in drift tube ion mobility spectrometry with 3H ionizationRebecca Brendel, Sascha Rohn, Philipp Weller
Food Chemistry: X|July 3, 2023
Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticityAbolfazl Dashti, Judith Müller-Maatsch, Emma Roetgerink, et al.
Data in Brief|March 21, 2020
Dataset of the application of handheld NIR and machine learning for chicken fillet authenticity studyGeert van Kollenburg, Yannick Weesepoel, Hadi Parastar, et al.
Food Chemistry|April 7, 2023
A methodological approach to preprocessing FTIR spectra of adulterated sesame oilRasool Khodabakhshian, Hajarsadat Seyedalibeyk Lavasani, Philipp Weller
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|November 28, 2025
Optimization of FTIR-PLS models for adulteration detection in sesame oil: a comparative study of genetic algorithm, particle swarm optimization, and a hybrid GA-PSO approachRasool Khodabakhshian, Hajarsadat Seyedalibeyk Lavasani, Philipp Weller
Journal of Agricultural and Food Chemistry|February 2, 2021
Volatilomic Profiling of Citrus Juices by Dual-Detection HS-GC-MS-IMS and Machine Learning-An Alternative Authentication ApproachRebecca Brendel, Sebastian Schwolow, Sascha Rohn, et al.
Analytical and Bioanalytical Chemistry|June 29, 2019
Data fusion of GC-IMS data and FT-MIR spectra for the authentication of olive oils and honeys-is it worth to go the extra mile?Sebastian Schwolow, Natalie Gerhardt, Sascha Rohn, et al.
Analytical and Bioanalytical Chemistry|August 6, 2020
Gas-phase volatilomic approaches for quality control of brewing hops based on simultaneous GC-MS-IMS and machine learningRebecca Brendel, Sebastian Schwolow, Sascha Rohn, et al.
Analytical Chemistry|February 22, 2024
Nontargeted Volatile Metabolite Screening and Microbial Contamination Detection in Fermentation Processes by Headspace GC-IMSJoscha Christmann, Manuel Weber, Sascha Rohn, et al.
Pageof 9