We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Correction of panoramic raman spectra and its application for microplastics content analysis
AI summary Read the abstract
Researchers developed a correction method for panoramic Raman spectra to eliminate artifacts created when stitching together individual spectral segments, improving the accuracy of wideband Raman spectroscopy applied to microplastic identification and analysis.
Одной из ключевых задач современной спектроскопии комбинационного рассеяния является получение высококачественных спектров в широком диапазоне волновых чисел при сохранении высокого разрешения. В данной работе описывается проблема возникновения артефактов при «сшивке» отдельных спектральных участков в панорамный спектр и предлагается решение в виде специально разработанного программного алгоритма для автоматической коррекции этих неточностей. Проведена апробация алгоритма на образцах, содержащие микропластики.
More Papers Like This
An automatic method for accurate signal-to-noise ratio estimation and baseline correction of Raman spectra of environmental microplastics
AI summary Read the abstract
Researchers developed an automatic method for estimating signal-to-noise ratios and correcting baselines in spectroscopic microplastic analysis, improving the reliability and reproducibility of polymer identification in complex environmental samples.
A critical assessment of visual identification of marine microplastic using Raman spectroscopy for analysis improvement
AI summary Read the abstract
Researchers critically evaluated the accuracy of visual identification versus Raman spectroscopy for identifying marine microplastics, finding that visual identification alone has significant error rates and that spectroscopic confirmation is necessary for reliable results.
The assessment of particle selection and blank correction to enhance the analysis of microplastics with Raman microspectroscopy
AI summary Read the abstract
Researchers improved the efficiency of Raman microspectroscopy analysis for microplastics by implementing automated particle selection and optimized blank correction methods, significantly reducing analysis time while maintaining accuracy for complex environmental samples.
A comparison of microscopic and spectroscopic identification methods for analysis of microplastics in environmental samples
AI summary Read the abstract
Researchers compared microscopic and spectroscopic methods for analyzing microplastics in environmental samples, evaluating accuracy and efficiency and finding that spectroscopic confirmation substantially reduces misidentification errors.
Development of Microplastic Identification using Raman Microspectrophotometry
AI summary Read the abstract
This study developed and refined Raman microspectrophotometry as an identification tool for microplastics, evaluating its accuracy for distinguishing different polymer types in environmental samples. Improved microplastic identification methods are critical for generating reliable and comparable data on environmental plastic contamination.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.