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Throughout the year, we host informative Raman spectroscopy webinars where you can learn more about our Raman spectroscopy solutions and what they can do for you. If you missed any of our live presentations, you can catch-up by viewing the recordings located below. For more information, please feel free to contact us at 416-361-3444 or email [email protected].

Measurement Precision Monitoring with HyperFlux™ PRO Plus: Real-time Raman Spectroscopy of Small Step Changes in Low-Dose Tablet Pressing

The Residence Time Distribution (RTD) experiment, facilitated by tracer methodology, is an effective way to model the dynamics of continuous processes, thereby aiding control strategies. The successful implementation of this approach hinges on the appropriate selection of a tracer that mimics the behavior of the bulk material. Recent advances in material property databases have streamlined this selection process through multivariate analysis. Traditional tracer methodologies have limitations when implemented in Good Manufacturing Practice (GMP) environments, often due to constraints in introducing new materials or the need to modify cleaning validation protocols. Recent advances in increasing the PAT measurements’ sensitivity allow for performing “small” step changes in the formulation composition being studied. In the study that this webinar explores, a low dose formulation (1.00 %w/w of API) was used as a target, and small step changes in API concentration were induced in a continuous process. A HyperFlux™ PRO Plus Raman spectrometer was located within a feed frame of a tablet press.

Request the webinar and learn how the Raman system demonstrated sensitivity to capture step changes in -/+ 0.50% w/w of API with confident intervals beyond 99%, and how even more minor step changes of -/+ 0.10% w/w of API, confidence intervals of approximately 70% were achieved.

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Measurement of Nitrogen-Containing Compounds and Oxyanions in Industrial Wastewater using High-Throughput Raman Spectroscopy

Control of emissions from industrial wastewater is a regulatory requirement in all industries, and can also be valuable for minimizing waste. Common nitrogen-containing compounds and oxyanions found in wastewater can be hazardous to human health and function as fertilizers causing environmental issues like algal blooms, but also represent opportunities for extraction or recycling.

In this webinar, we examine the limits of detection for simultaneous, online measurement of important compounds in industrial wastewater, including ammonium, urea, nitrate, nitrite, phosphate, and sulfate, in the context of a multipoint measurement system. Additionally, a comparison of univariate and multivariate model-building methods, including peak area and PLS, is performed. These measurements can also be useful in a wide variety of other industries, such as the production of fertilizers and chemicals, as well as bioprocess and biopharmaceutical applications.

Watch the webinar and learn how by using High-Throughput Raman Spectroscopy, these measurements can be performed quickly and with an exceptionally low limit of detection generally below 100ppm, while measuring multiple points in the system.

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Multivariate Model Development with HTVS-Enabled Raman and Python

This is the second installment of our webinar series featuring Python. Here we delve into the realm of Multivariate Data Analysis (MVDA) model development in Python for Tornado Spectral System’s HTVS-enabled Raman spectroscopic data. Designed for scientists and engineers already familiar with Python and Raman spectroscopy in academia or various industries, this webinar focuses on equipping you with the expertise needed to harness the full potential of PLS modeling for superior data analysis outcomes.

Building upon the foundational knowledge shared in our previous webinar, we will explore techniques for PLS modeling using Python, tailored specifically to the capabilities of Tornado Spectral System’s Raman spectrometers. Through practical examples and demonstrations, you will learn how to extract meaningful insights and improve the accuracy of your Raman spectroscopy experiments.

The webinar will begin with a brief review of the fundamental concepts behind PLS modeling and its applicability to Raman spectrometer data. We will then demonstrate the construction of PLS models using Python libraries such as scikit-learn and numpy. You will gain insights into model calibration, cross-validation techniques, and optimization strategies to achieve optimal performance and generalizability.

In this webinar, you will enhance your understanding of advanced PLS model development in Python and gain the necessary skills to extract valuable insights from Tornado Spectral System’s Raman spectrometer data with MVDA modeling.

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Real-Time Monitoring of Gas Phase Streams

The composition of gas phase streams is of great value in a variety of processes including nuclear facilities, chemical and petrochemical processes, and green energy systems. Using Raman Spectrometry, online, real-time measurements of gas phase streams can be performed. Here, Tornado’s HyperFlux PRO Plus was used along with a Non-Contact Optic (NCO) to demonstrate preliminary measurements of Hydrogen (H2), Oxygen (O2), Methane (CH4), Ethane (C6H8), Carbon Dioxide (CO2), and Nitrogen (N2), across a range of pressures and compositions, with Limits of Detection and measurement error. Measurement of these gases is useful for monitoring and control of reaction and process streams in a wide variety of processes.

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Visualization and Pre-Processing of Tornado Raman Data with Python:

In this webinar, attendees will explore the powerful capabilities of Python for importing, visualizing, and pre-processing data obtained from HTVS-enabled Tornado Process Raman spectrometers. This webinar featuring a tutorial serves as an introduction to leveraging Python for efficient data analysis and visualization using the advanced features of the Tornado spectrometers.

We will dive into the practical aspects of importing galactic spc data files from the HTVS-enabled Tornado spectrometers into Python which helps to leverage the 10x faster throughput of the Tornado spectrometers. Next, we will explore the extensive visualization techniques available in Python to gain actionable insights from Raman spectroscopic data obtained from the Tornado spectrometers. We will showcase how to utilize libraries such as Matplotlib to create visually compelling plots, charts, and spectra representations, taking advantage of the improved signal-to-noise ratio (SNR) offered by the Tornado spectrometers. Attendees will learn how to customize visualizations to highlight key features and effectively communicate their findings. The tutorial will also focus on data pre-processing techniques tailored to the HTVS-enabled Tornado spectrometers. We will show how to implement common pre-processing techniques for baseline correction, spectral smoothing, noise reduction, and other essential pre-processing steps, harnessing the enhanced SNR capabilities of the Tornado spectrometers. Practical examples and code snippets using libraries such as NumPy and SciPy will be provided to demonstrate these techniques in action.

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HTVS Raman for Downstream Processing:

Downstream Processing (DSP) is a critical part of biopharmaceutical production. Protein purification and product and process characterization are accomplished during this manufacturing phase. Regulatory agencies encourage the pursuit of PAT methodologies as means to ensure process quality and integrity for all types of pharmaceutical products. For DSP, one real-time in-line PAT technique that has garnered much attention is Raman Spectroscopy. The main attractions for Raman are the ability to elucidate molecular information for various species produced in a bioprocess and detect and quantify multiple CQAs. The challenge for conventional Raman with respect to DSP has always been the meaningful speed of detection for an elution measurement. With HTVS-empowered Raman, however, Tornado technology has proven uniquely well suited in this area. Time-resolved measurements of one second or less are possible for chromatographic flow processes with quantitative recoveries within 5% of reference data. In this presentation, we will present the highlights of the various DSP topics we have investigated in our laboratories using Raman. These include selective detection and quantification of different protein species, detection, and quantification of protein denaturation, detection of glycosylation states, characterization of aggregation, freeze-thaw cycle characterization, and applications of Raman to capture chromatography. The benefits of the speed and sensitivity of Tornado’s Raman devices will be illustrated.

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High-Throughput Raman to Monitor Tablet Coating Part 2:

In this highly-requested continuation, we examine the value of using Tornado Spectral Systems’ high-throughput Raman spectroscopic instrumentation for monitoring tablet coating processes. The data will demonstrate that Tornado probes can be adapted to meet the demands of different sampling situations and that the HTVS-enabled spectroscopic performance allows quality data to be collected allowing actionable information. While the coatings used in this case for demonstration were cosmetic, the technology can easily be applied to functional coatings as well as coatings with APIs.

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What’s New at Tornado:

Tornado has been busy the past several months launching new products, providing value-added upgrades to existing products, and delivering new capabilities to enable our customers to make even better Raman measurements in their labs and process facilities. In this webinar, we will be sharing details about a multitude of these new developments and offering guidance about how they can best be applied to common end-user applications.

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High-Throughput Raman to Monitor Tablet Coating

In this webinar we examine the value of using Tornado Spectral Systems’ high-throughput Raman spectroscopic instrumentation for monitoring tablet coating processes. The data will demonstrate that Tornado probes can be adapted to meet the demands of different sampling situations and that the HTVS-enabled spectroscopic performance allows quality data to be collected allowing actionable information. While the coatings used in this case for demonstration were cosmetic, the technology can easily be applied to functional coatings as well as coatings with APIs. While there is value in employing a Raman monitoring strategy with cosmetic coatings, there is increased benefit in the case of functional and API-containing coatings because of the critical role they play in the therapeutic performance of such products.

Request the webinar and learn how Tornado Raman can be a valuable tool in monitoring coating procedures to confirm the process is proceeding properly, to elucidate endpoints, and to track excursions, should they occur, on a molecular basis.

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High-Throughput Raman for Various Aspects of Downstream Processing:

Monitoring Protein Capture, Assessing CQAs, and Other Value-Added Measurements

In this webinar, we explore the use of HTVS™ powered Raman spectroscopy as a monitoring tool and assess the results, in terms of the speed, specificity of quantification of protein elution profiles (and how this can provide optimized column switching times in continuous capture processes), protein glycosylation information, and chemical information regarding protein denaturation.

Learn more on how obtaining this highly detailed chemical information faster, with better signal-to-noise ratios, and lower limits of detection, can lead to large improvements in downstream protein monitoring efficiency, yield, and purity.

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Industry 4.0 and the Process Guardian

Industry 4.0 is the advancement of manufacturing that uses Internet-of-Things technology and Industry 4.0 applications to ensure total process monitoring and quality assurance.

This presentation sheds light on the history of Industry 4.0 movement, and spotlights how the Tornado Process Guardian Raman spectrometer (PGR) fits within the Industry 4.0 paradigm. Key concepts of Automation, Quality Predictive Control, and Vertical and Horizontal Integration are also explored in this presentation.

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Understanding your photons – Optimizing the quality of process Raman measurements

If you are a process chemist, process engineer, or production manager, you probably do not think a lot about photons. You concentrate on running a smooth process, avoiding problems, increasing yield, and other such important factors. But if you are using Raman spectroscopy for process monitoring, photons are the fundamental source of your chemical information, and it’s critical to understand their properties to have confidence in your real-time process measurements.

This presentation provides an accessible high-level overview of photon statistics, signal-to-noise ratio, and chemometric measurement precision for chemists, engineers, and managers in the petrochemical, pharmaceutical, specialty chemical, polymer and other industries who use Raman measurements or who are considering adopting Raman spectroscopy as a process analytic technology.

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Inherently Safe Raman Measurements for Hazardous Zones

In the following webinar, we will provide process Raman users with a basic understanding of the regulatory requirements, explain how the OPIS 35 accessory achieves compliance, and share some examples illustrating the data quality and measurement precision that can be achieved with Tornado’s ATEX-compliant solution.

This webinar is designed for process development chemists, process control engineers and operations managers in the petrochemical, pharmaceutical, specialty chemical, polymer and other industries who need to comply with safety requirements in an ATEX zone without sacrificing quantitative measurement performance.

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Exploring the Limits of Detection of a Model Compound in a Flow Scenario using High-Throughput Raman Spectroscopy

The concept of the limit of detection (LOD) has been, and still is, one of the most debated in analytical chemistry. Determination of a limit of detection seems to be a simple process, but it is one of the most misunderstood concepts with regards to chemical analysis and measurement. When low detection limits are needed to measure analytes below specified limits, those monitoring the process must be able to demonstrate its capability to meet those requirements.

This presentation provides a flow chemistry example illustrating the potential for high sensitivity with Raman measurements. Viewers will be presented with an accessible high-level overview of how Tornado’s HTVS™ technology allows higher-throughput measurements which lead to better time resolution, sensitivity, and quantitative resolution/accuracy.

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Process Analytics for 21st Century Manufacturing

The 21st century is witness to fundamental changes in manufacturing as it remains a critical force in both advanced and developing economies. There has been a paradigm shift that is brewing within the pharmaceutical industry and related fields, including process analytics in advanced manufacturing. Today’s manufacturer faces an era where the problem is no longer one of not being able to collect enough data on manufacturing processes but when to incorporate process analytics and understand the challenges for successful implementation.

Key Learning Objectives

  • Understand when we need process analytics in advanced manufacturing
  • Understand some of the challenges in implementing process analytics successfully
  • Understand the particular benefits in using Raman spectroscopy
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High Throughput Virtual Slit™ (HTVS™) Impact On Raman Spectroscopy Limit Of Detection (LoD) Performance

In this webinar, we present an LoD study and discuss the improved detection limits and corresponding minimum required acquisition times of 4 binary mixtures using Tornado’s HyperFlux™ PRO Plus Raman spectrometer.

You will learn how the HyperFlux™ PRO Plus demonstrates:

  • Better sensitivity for lower detection limits
  • Faster measurements
  • Why it is more feasible to deploy for real-time applications
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Why Raman for Process?

Raman spectroscopy has been used as a process analysis tool for 30 years or more. However, it has only been in the past three to five years that interest in Raman as a PAT tool has increased dramatically. That has, in part, been due to the increase in the activity for bioprocessing, which is an area for which Raman is a technique of high interest. But apart from the bio area, there has been a general awakening to the benefits of specificity, interpretability and process understanding that are realized by using Raman for Process Development, Process Monitoring and Process Control. The increases in the sensitivity of Raman measurements brought about by the High Throughput Virtual Slit (HTVS™) technology has also added to the attractiveness of the Raman technique.

The theme that will be explored with this presentation will be why Raman should be considered when choosing a process tool. What does Raman bring to the table when considering all of the options out there that can make the measurements that need to be made? The practical advantages of Raman will be surveyed from the standpoint of specificity, interpretability, sensitivity, sampling and quantifiability.

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High-Throughput Raman Process Monitoring of Downstream Protein Purification

Eliminate the protein purification analysis bottleneck: Tornado’s High-Throughput Virtual Slit (HTVS™) brings high-throughput data management and analysis to downstream protein purification.

Managing downstream data from a pharmaceutical protein purification process is a complex challenge even if you run just a few experiments per month. With Tornado’s Raman analyzer, this can quickly scale up to hundreds of automated, parallelised experiments.

Discover how the HyperFlux™ PRO Plus allows higher throughput measurements and can predict the chromatographic elution concentrations of individual proteins with a high degree of specificity. Used effectively as part of a downstream protein purification process strategy, the data generated from Raman analysis can accelerate development by supporting better decision making, enhance process understanding and control of the manufacturing process, and increase yields and profitability.

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