Online Raman Spectrometer

Make reaction process visualization

introduction introduction
An advanced online spectrometer system offers real-time, in-situ process monitoring. Coupled with scientist-friendly software incorporating powerful chemometrics toolkits and massive spectral data, it enables efficient real-time processing.


The system's adaptability is underscored by its compatibility with various spectral probes and accessories (e.g. flow cell, TFF system), which can accommodate most reactions.


Scientists can now explore the molecular-level correlation between reaction conditions and conversion ratios, gaining a deeper understanding of reaction mechanisms and kinetics. With this knowledge and insights, scientists can visually optimize processes, while technicians benefit from a more direct understanding of operation procedures.





Features


· High Quantitative Accuracy: 100ppm level
· Fast Analysis: 5 spectra/second
· Easy Operation: Straightforward software designed for scientists.
· Powerful Features: Data collection, method development, data analysis, data comparison, method transfer etc.
· Rich Accessories: Liquid flow cells, TFF system, immersion probes with different kinds of materials, Raman microscopy etc.





Specifications


· Spectral range: 200-3000cm-1
· Resolution: ~10cm-1
· SNR: 1000:1
· Detector cooling temperature: -25℃ (Lowest)
· Excitation wavelength: 785±0.5nm
· Excitation linewidth: ≤0.08nm





Software Functions


software software
· Spectrometer Control: Web-based software supports scientists in controlling instruments and analyzing data on-site or remotely.
· Method Development: Leveraging the provided method development guidance, users can effortlessly craft analytical methods from extensive spectral data without requiring extensive algorithmic expertise. This streamlined approach empowers scientists to focus on their objectives rather than getting bogged down in complex algorithms.
· Data Analysis: Utilizing the established analytical methods, a comprehensive suite of experiments can be swiftly and efficiently processed, ensuring rapid insights into experimental outcomes and enhancing the overall efficiency of the research process.
· Historical Data Review: This system offers a seamless review and comparative analysis of historical spectral data across various experiments. It facilitates the trends analysis and variations across multiple batches, providing a robust framework for understanding the experimental outcomes over time and batches.
· Methods Comparison: This system provides a tool for evaluating and contrasting outcomes derived from various analytical methods, ensuring precise and scientific data interpretation across different methods.