MAVERICK
Accelerate process development with Raman-based real-time monitoring of critical cell culture parameters, without the cost and complexities of “black box” empirical calibration modeling.
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MAVERICK provides real-time, in-line monitoring and control of multiple critical process parameters, right out of the box. Measurements of multiple critical parameters across media, across processes, across mammalian cell lines and across scales. MAVERICK is powered by Raman spectroscopy and a purpose-built De Novo Model. The De Novo Model is explicitly built on media chemistries and device physics, not on empirical data. It automatically interprets the Raman spectra and quantifies process parameters, enabling real-time simultaneous measurements of glucose, lactate, and total biomass. This is achieved without the complexity and costs associated with implementation of conventional bioprocess Raman analyzers. With MAVERICK you are ready to monitor your bioreactor in minutes, after a simple two-point probe calibration. There is no need to collect spectral data and reference measurements from multiple bioreactor runs, no empirical modeling, or dealing with autosamplers and reagents. to implement in-line bioprocess analysis. Your team can stay at the forefront of Bioprocessing 4.0 and fully harness the advantages of PAT. Intuitive setup and a user-friendly interface mean there is no training barrier to overcome. Up to six measurement modules can be connected to a single MAVERICK hub that enables independent monitoring and control of feeds in multiple bioreactors simultaneously. Save valuable bench space and increase efficiency.
Determining total cell count - MAVERICK biomass measurements
When managing a bioprocess, it is essential to monitor and control several critical process parameters (CPP) to maintain optimal cell culture conditions, ensure product quality, and maximize yield. Multivariate optical sensing technologies often require substantial expert configuration and set-up time that can take months or years, and significant expense. MAVERICK offers the advantages of in-line Raman process analytical technology (PAT) without the cost and headaches inherent to the implementation of conventional process spectroscopy-based methods. MAVERICK measures and reports “biomass units” (BMUs) via volumetric scattering and absorption of the culture media. In this application note, 908 Devices highlights the linear correlation between BMUs and total cell densities as measured with a typical cell counter, plus how to convert BMUs obtained from MAVERICK into total cell densities.
De novo approaches for bioprocess parameter estimation
Challenges in modeling bioprocess data using empirical calibration approaches include nonstationarity, extreme covariates, and spectrometer variation. In this whitepaper, 908 Devices highlights de novo modeling approaches, such as MAVERICK, which aim to overcome these challenges by combining empirical data with fundamental biological mechanisms, reducing the risk of overfitting and providing a more robust approximation. MAVERICK's computational framework is derived from early probabilistic frameworks for multivariate calibration and offers a contrast to traditional empirical calibration methods.
Meet the MAVERICK – an easy-to-use process analytical technology device
Elevate your bioprocess analysis using Raman spectroscopy powered technology. The MAVERICK offers users the ability to measure glucose, lactate and biomass instantly without the need of any prior knowledge or ability to perform chemometric modelling. Explore this easy-to-use de novo model that eliminates the risks associated with conventional process analytical technology (PAT) methods and allows you to monitor your bioreactor in minutes.
Data-driven process intensification utilizing smart analytics to achieve your bioprocess goals
Nick Randall, Bioprocessing Product Manager at 908 Devices, outlines how the solutions in 908 Devices portfolio are designed to supply critical insights for bioprocessing. This presentation was recorded at BioProcess International Europe.
