This page has only limited features, please log in for full access.

Prof. Matthias Raedle
CeMOS - Center for Mass Spectrometry and Optical Spectroscopy

Basic Info


Research Keywords & Expertise

0 Design Engineering
0 Process Analytical Technology
0 optical spectroscopy
0 Automation technology
0 Measurement Based Material Design

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 10 August 2021 in Micromachines
Reads 0
Downloads 0

The work presents an efficient and non-invasive method to visualize the local concentration and viscosity distribution of two miscible and non-reacting substances with a significant viscosity difference in a microchannel with a Y-shape cell. The proof-of-concept setup consists of a near-infrared (NIR) camera and cost-effective dome lighting with NIR light-emitting diodes (LED) covering the wavelength range of 1050 to 1650 nm. Absorption differences of glycerol and water and their mixtures with a mass fraction of glycerol from 0 to 0.95 gGlycgtotal1 were analyzed in the NIR spectral area. The resulting measurement images were converted in a concentration profile by using absorbance calculated with Lambert–Beer law. A linear behavior between the concentration and the absorption coefficient is demonstrated. The result of local concentration in mass fraction was used to determine the local viscosity and illustrated as distribution images. By variating the fluid parameters, the influences of the highly different original viscosities in the mixing procedure were investigated and visualized.

ACS Style

Isabel Medina; Julian Deuerling; Pooja Kumari; Stephan Scholl; Matthias Rädle. Visualization of Local Concentration and Viscosity Distribution during Glycerol-Water Mixing in a Y-Shape Minichannel: A Proof-of-Concept-Study. Micromachines 2021, 12, 940 .

AMA Style

Isabel Medina, Julian Deuerling, Pooja Kumari, Stephan Scholl, Matthias Rädle. Visualization of Local Concentration and Viscosity Distribution during Glycerol-Water Mixing in a Y-Shape Minichannel: A Proof-of-Concept-Study. Micromachines. 2021; 12 (8):940.

Chicago/Turabian Style

Isabel Medina; Julian Deuerling; Pooja Kumari; Stephan Scholl; Matthias Rädle. 2021. "Visualization of Local Concentration and Viscosity Distribution during Glycerol-Water Mixing in a Y-Shape Minichannel: A Proof-of-Concept-Study." Micromachines 12, no. 8: 940.

Journal article
Published: 21 July 2021 in Education Sciences
Reads 0
Downloads 0

Learning content in mathematics, such as vector geometry, is still predominantly taught in an abstract manner, as the visualization and interaction of three-dimensional problems are limited with classical forms of teaching such as blackboard lessons or exercise sheets. This research article proposes the use of augmented reality (AR) in mathematics education. The proposed approach aims at easing the learning process related to vector geometry currently taught in senior mathematics classes by using intuitive visualization. The article introduces the concept of AR and presents the didactic foundations and the influence on the learning process based on an extensive literature review. Although studies see great potential in the use of AR for teaching mathematics, the method has so far hardly been used in schools. This can be mainly explained by the technological entry barrier of AR and the lack of simple, robust AR applications, in particular for vector geometry. To fill this gap, the authors developed “cleARmaths”, a developed android application for augmented reality-based teaching in vector geometry that allows widespread use. As a didactical concept, some example exercises sessions with the app are proposed, demonstrating how the app could be used in a mathematics classroom. Finally, the app was evaluated in a mathematics class and the results analyzed in a detailed study. It was found by the teacher and students to be beneficial and amusing, demonstrating the potential for AR in mathematics classes.

ACS Style

Stefanie Schutera; Marc Schnierle; Mathilde Wu; Tim Pertzel; Jonathan Seybold; Patricia Bauer; Dennis Teutscher; Matthias Raedle; Natascha Heß-Mohr; Sascha Röck; Mathias Krause. On the Potential of Augmented Reality for Mathematics Teaching with the Application cleARmaths. Education Sciences 2021, 11, 368 .

AMA Style

Stefanie Schutera, Marc Schnierle, Mathilde Wu, Tim Pertzel, Jonathan Seybold, Patricia Bauer, Dennis Teutscher, Matthias Raedle, Natascha Heß-Mohr, Sascha Röck, Mathias Krause. On the Potential of Augmented Reality for Mathematics Teaching with the Application cleARmaths. Education Sciences. 2021; 11 (8):368.

Chicago/Turabian Style

Stefanie Schutera; Marc Schnierle; Mathilde Wu; Tim Pertzel; Jonathan Seybold; Patricia Bauer; Dennis Teutscher; Matthias Raedle; Natascha Heß-Mohr; Sascha Röck; Mathias Krause. 2021. "On the Potential of Augmented Reality for Mathematics Teaching with the Application cleARmaths." Education Sciences 11, no. 8: 368.

Journal article
Published: 23 May 2021 in Applied Sciences
Reads 0
Downloads 0

Multimodal imaging gains increasing popularity for biomedical applications. This article presents the design of a novel multimodal imaging system. The centerpiece is a light microscope operating in the incident and transmitted light mode. Additionally, Raman spectroscopy and VIS/NIR reflectance spectroscopy are adapted. The proof-of-concept is realized to distinguish between grey matter (GM) and white matter (WM) of normal mouse brain tissue. Besides Raman and VIS/NIR spectroscopy, the following optical microscopy techniques are applied in the incident light mode: brightfield, darkfield, and polarization microscopy. To complement the study, brightfield images of a hematoxylin and eosin (H&E) stained cryosection in the transmitted light mode are recorded using the same imaging system. Data acquisition based on polarization microscopy and Raman spectroscopy gives the best results regarding the tissue differentiation of the unstained section. In addition to the discrimination of GM and WM, both modalities are suited to highlight differences in the density of myelinated axons. For Raman spectroscopy, this is achieved by calculating the sum of two intensity peak ratios (I2857 + I2888)/I2930 in the high-wavenumber region. For an optimum combination of the modalities, it is recommended to apply the molecule-specific but time-consuming Raman spectroscopy to smaller regions of interest, which have previously been identified by the microscopic modes.

ACS Style

Annabell Heintz; Sebastian Sold; Felix Wühler; Julia Dyckow; Lucas Schirmer; Thomas Beuermann; Matthias Rädle. Design of a Multimodal Imaging System and Its First Application to Distinguish Grey and White Matter of Brain Tissue. A Proof-of-Concept-Study. Applied Sciences 2021, 11, 4777 .

AMA Style

Annabell Heintz, Sebastian Sold, Felix Wühler, Julia Dyckow, Lucas Schirmer, Thomas Beuermann, Matthias Rädle. Design of a Multimodal Imaging System and Its First Application to Distinguish Grey and White Matter of Brain Tissue. A Proof-of-Concept-Study. Applied Sciences. 2021; 11 (11):4777.

Chicago/Turabian Style

Annabell Heintz; Sebastian Sold; Felix Wühler; Julia Dyckow; Lucas Schirmer; Thomas Beuermann; Matthias Rädle. 2021. "Design of a Multimodal Imaging System and Its First Application to Distinguish Grey and White Matter of Brain Tissue. A Proof-of-Concept-Study." Applied Sciences 11, no. 11: 4777.

Preprint
Published: 06 May 2021
Reads 0
Downloads 0

Physical distancing and wearing a face mask are key interventions to prevent COVID-19. While this remains difficult to practice for millions of firefighters in fire engines responding to emergencies, the delayed forthcoming of evidence on the physical effectiveness of such safety interventions in this setting presents a major problem. In this field experimental study, we provided initial evidence to close this gap. We examined total aerosol burden in the cabin of a fire engine whilst manipulating crew size, natural ventilation, use of FFP2 respirators and use of SCBA full-face masks during 15-minute driving periods. At the same time, we controlled for crew activity and speaking, vehicle speed, cabin air temperature, pressure and humidity. Limiting the crew size, using FFP2 respirators and not donning SCBA full-face masks was associated with a reduction of the arithmetic mean of total aerosol burden of up to 49%. Natural ventilation as tested in this study was associated with both an increase and a decrease of total aerosol burden. This study provided initial evidence on the physical effectiveness of safety interventions in fire engines to reduce potential airborne transmission of SARS-CoV-2 through aerosols. More research about the physical and clinical effectiveness of such safety interventions is needed.

ACS Style

Elmar Bourdon; Thomas Schaefer; Maximilian Kittel; Matthias Raedle; Alexandra Heininger. Physical Effectiveness of Safety Interventions in Fire Engines to Reduce Potential Airborne Transmission of SARS-CoV-2 (COFIRE). 2021, 1 .

AMA Style

Elmar Bourdon, Thomas Schaefer, Maximilian Kittel, Matthias Raedle, Alexandra Heininger. Physical Effectiveness of Safety Interventions in Fire Engines to Reduce Potential Airborne Transmission of SARS-CoV-2 (COFIRE). . 2021; ():1.

Chicago/Turabian Style

Elmar Bourdon; Thomas Schaefer; Maximilian Kittel; Matthias Raedle; Alexandra Heininger. 2021. "Physical Effectiveness of Safety Interventions in Fire Engines to Reduce Potential Airborne Transmission of SARS-CoV-2 (COFIRE)." , no. : 1.

Communication
Published: 01 May 2021 in Sensors
Reads 0
Downloads 0

To meet the demands of the chemical and pharmaceutical process industry for a combination of high measurement accuracy, product selectivity, and low cost of ownership, the existing measurement and evaluation methods have to be further developed. This paper demonstrates the attempt to combine future Raman photometers with promising evaluation methods. As part of the investigations presented here, a new and easy-to-use evaluation method based on a self-learning algorithm is presented. This method can be applied to various measurement methods and is carried out here using an example of a Raman spectrometer system and an alcohol-water mixture as demonstration fluid. The spectra’s chosen bands can be later transformed to low priced and even more robust Raman photometers. The evaluation method gives more precise results than the evaluation through classical methods like one primarily used in the software package Unscrambler. This technique increases the accuracy of detection and proves the concept of Raman process monitoring for determining concentrations. In the example of alcohol/water, the computation time is less, and it can be applied to continuous column monitoring.

ACS Style

Shivani Choudhary; Deborah Herdt; Erik Spoor; José García Molina; Marcel Nachtmann; Matthias Rädle. Incremental Learning in Modelling Process Analysis Technology (PAT)—An Important Tool in the Measuring and Control Circuit on the Way to the Smart Factory. Sensors 2021, 21, 3144 .

AMA Style

Shivani Choudhary, Deborah Herdt, Erik Spoor, José García Molina, Marcel Nachtmann, Matthias Rädle. Incremental Learning in Modelling Process Analysis Technology (PAT)—An Important Tool in the Measuring and Control Circuit on the Way to the Smart Factory. Sensors. 2021; 21 (9):3144.

Chicago/Turabian Style

Shivani Choudhary; Deborah Herdt; Erik Spoor; José García Molina; Marcel Nachtmann; Matthias Rädle. 2021. "Incremental Learning in Modelling Process Analysis Technology (PAT)—An Important Tool in the Measuring and Control Circuit on the Way to the Smart Factory." Sensors 21, no. 9: 3144.

Journal article
Published: 22 January 2021 in Micromachines
Reads 0
Downloads 0

This work presents a novel method for the non-invasive, in-line monitoring of mixing processes in microchannels using the Raman photometric technique. The measuring set-up distinguishes itself from other works in this field by utilizing recent state-of-the-art customized photon multiplier (CPM) detectors, bypassing the use of a spectrometer. This addresses the limiting factor of integration times by achieving measuring rates of 10 ms. The method was validated using the ternary system of toluene–water–acetone. The optical measuring system consists of two functional units: the coaxial Raman probe optimized for excitation at a laser wavelength of 532 nm and the photometric detector centered around the CPMs. The spot size of the focused laser is a defining factor of the spatial resolution of the set-up. The depth of focus is measured at approx. 85 µm with a spot size of approx. 45 µm, while still maintaining a relatively high numerical aperture of 0.42, the latter of which is also critical for coaxial detection of inelastically scattered photons. The working distance in this set-up is 20 mm. The microchannel is a T-junction mixer with a square cross section of 500 by 500 µm, a hydraulic diameter of 500 µm and 70 mm channel length. The extraction of acetone from toluene into water is tracked at an initial concentration of 25% as a function of flow rate and accordingly residence time. The investigated flow rates ranged from 0.1 mL/min to 0.006 mL/min. The residence times from the T-junction to the measuring point varies from 1.5 to 25 s. At 0.006 mL/min a constant acetone concentration of approx. 12.6% was measured, indicating that the mixing process reached the equilibrium of the system at approx. 12.5%. For prototype benchmarking, comparative measurements were carried out with a commercially available Raman spectrometer (RXN1, Kaiser Optical Systems, Ann Arbor, MI, USA). Count rates of the spectrophotometer surpassed those of the spectrometer by at least one order of magnitude at identical target concentrations and optical power output. The experimental data demonstrate the suitability and potential of the new measuring system to detect locally and time-resolved concentration profiles in moving fluids while avoiding external influence.

ACS Style

Julian Deuerling; Shaun Keck; Inasya Moelyadi; Jens-Uwe Repke; Matthias Rädle. In-Line Analysis of Diffusion Processes in Micro Channels by Long Distance Raman Photometric Measurement Technology—A Proof of Concept Study. Micromachines 2021, 12, 116 .

AMA Style

Julian Deuerling, Shaun Keck, Inasya Moelyadi, Jens-Uwe Repke, Matthias Rädle. In-Line Analysis of Diffusion Processes in Micro Channels by Long Distance Raman Photometric Measurement Technology—A Proof of Concept Study. Micromachines. 2021; 12 (2):116.

Chicago/Turabian Style

Julian Deuerling; Shaun Keck; Inasya Moelyadi; Jens-Uwe Repke; Matthias Rädle. 2021. "In-Line Analysis of Diffusion Processes in Micro Channels by Long Distance Raman Photometric Measurement Technology—A Proof of Concept Study." Micromachines 12, no. 2: 116.

Journal article
Published: 30 September 2020 in Micromachines
Reads 0
Downloads 0

The industrial particle sensor market lacks simple, easy to use, low cost yet robust, safe and fast response solutions. Towards development of such a sensor, for in-line use in micro channels under continuous flow conditions, this work introduces static light scattering (SLS) determination of particle diameter using a laser with an emission power of less than 5 µW together with sensitive detectors with detection times of 1 ms. The measurements for the feasibility studies are made in an angular range between 20° and 160° in 2° increments. We focus on the range between 300 and 1000 nm, for applications in the production of paints, colors, pigments and crystallites. Due to the fast response time, reaction characteristics in microchannel designs for precipitation and crystallization processes can be studied. A novel method for particle diameter characterization is developed using the positions of maxima and minima and slope distribution. The novel algorithm to classify particle diameter is especially developed to be independent of dispersed phase concentration or concentration fluctuations like product flares or signal instability. Measurement signals are post processed and particle diameters are validated against Mie light scattering simulations. The design of a low cost instrument for industrial use is proposed.

ACS Style

Jesse Ross-Jones; Tobias Teumer; Susann Wunsch; Lukas Petri; Hermann Nirschl; Mathias J. Krause; Frank-Jürgen Methner; Matthias Rädle. Feasibility Study for a Chemical Process Particle Size Characterization System for Explosive Environments Using Low Laser Power. Micromachines 2020, 11, 911 .

AMA Style

Jesse Ross-Jones, Tobias Teumer, Susann Wunsch, Lukas Petri, Hermann Nirschl, Mathias J. Krause, Frank-Jürgen Methner, Matthias Rädle. Feasibility Study for a Chemical Process Particle Size Characterization System for Explosive Environments Using Low Laser Power. Micromachines. 2020; 11 (10):911.

Chicago/Turabian Style

Jesse Ross-Jones; Tobias Teumer; Susann Wunsch; Lukas Petri; Hermann Nirschl; Mathias J. Krause; Frank-Jürgen Methner; Matthias Rädle. 2020. "Feasibility Study for a Chemical Process Particle Size Characterization System for Explosive Environments Using Low Laser Power." Micromachines 11, no. 10: 911.

Journal article
Published: 12 August 2020 in Processes
Reads 0
Downloads 0

The design of a desalination plant is most important if the desired product purity has to be as high as possible. This is also true for freeze crystallization plants. A correct solid-to-liquid ratio has to be ensured when pressing is used as a post-treatment. Thus, the dependence of the overall plant design on the achieved ice quality but also on different hydraulic and thermodynamic numbers is important. In this research, a scraped screw crystallizer plant is presented and examined for two different screw designs. Experiments with a low initial concentration, as for the usage to desalinate groundwater to gain it as process water, were conducted. Furthermore, solutions with high initial concentrations simulating seawater to produce potable water were used as another set of test solutions. The findings showed that neither of the screw designs is more favorable than the other, but it is important to have a plant design fitting the existing parameters on site.

ACS Style

Lars Erlbeck; Dirk Wössner; Thomas Kunz; Frank-Jürgen Methner; Matthias Rädle. Comparison of Two Different Designs of a Scraped Surface Crystallizer for Desalination Effect and Hydraulic and Thermodynamic Numbers. Processes 2020, 8, 971 .

AMA Style

Lars Erlbeck, Dirk Wössner, Thomas Kunz, Frank-Jürgen Methner, Matthias Rädle. Comparison of Two Different Designs of a Scraped Surface Crystallizer for Desalination Effect and Hydraulic and Thermodynamic Numbers. Processes. 2020; 8 (8):971.

Chicago/Turabian Style

Lars Erlbeck; Dirk Wössner; Thomas Kunz; Frank-Jürgen Methner; Matthias Rädle. 2020. "Comparison of Two Different Designs of a Scraped Surface Crystallizer for Desalination Effect and Hydraulic and Thermodynamic Numbers." Processes 8, no. 8: 971.

Review
Published: 28 March 2020 in Micromachines
Reads 0
Downloads 0

This paper provides an overview of how molecule-sensitive, spatially-resolved technologies can be applied for monitoring and measuring in microchannels. The principles of elastic light scattering, fluorescence, near-infrared, mid-infrared, and Raman imaging, as well as combination techniques, are briefly presented, and their advantages and disadvantages are explained. With optical methods, images can be acquired both scanning and simultaneously as a complete image. Scanning technologies require more acquisition time, and fast moving processes are not easily observable. On the other hand, molecular selectivity is very high, especially in Raman and mid-infrared (MIR) scanning. For near-infrared (NIR) images, the entire measuring range can be simultaneously recorded with indium gallium arsenide (InGaAs) cameras. However, in this wavelength range, water is the dominant molecule, so it is sometimes necessary to use complex learning algorithms that increase the preparation effort before the actual measurement. These technologies excite molecular vibrations in a variety of ways, making these methods suitable for specific products. Besides measurements of the fluid composition, technologies for particle detection are of additional importance. With scattered light techniques and evaluation according to the Mie theory, particles in the range of 0.2–1 µm can be detected, and fast growth processes can be observed. Local multispectral measurements can also be carried out with fiber optic-coupled systems through small probe heads of approximately 1 mm diameter.

ACS Style

Marcel Nachtmann; Julian Deuerling; Matthias Rädle. Molecule Sensitive Optical Imaging and Monitoring Techniques—A Review of Applications in Micro-Process Engineering. Micromachines 2020, 11, 353 .

AMA Style

Marcel Nachtmann, Julian Deuerling, Matthias Rädle. Molecule Sensitive Optical Imaging and Monitoring Techniques—A Review of Applications in Micro-Process Engineering. Micromachines. 2020; 11 (4):353.

Chicago/Turabian Style

Marcel Nachtmann; Julian Deuerling; Matthias Rädle. 2020. "Molecule Sensitive Optical Imaging and Monitoring Techniques—A Review of Applications in Micro-Process Engineering." Micromachines 11, no. 4: 353.

Journal article
Published: 17 June 2019 in Applied Sciences
Reads 0
Downloads 0

Raman and mid-infrared (MIR) spectroscopy are useful tools for the specific detection of molecules, since both methods are based on the excitation of fundamental vibration modes. In this study, Raman and MIR spectroscopy were applied simultaneously during aerobic yeast fermentations of Saccharomyces cerevisiae. Based on the recorded Raman intensities and MIR absorption spectra, respectively, temporal concentration courses of glucose, ethanol, and biomass were determined. The chemometric methods used to evaluate the analyte concentrations were partial least squares (PLS) regression and multiple linear regression (MLR). In view of potential photometric sensors, MLR models based on two (2D) and four (4D) analyte-specific optical channels were developed. All chemometric models were tested to predict glucose concentrations between 0 and 30 g L−1, ethanol concentrations between 0 and 10 g L−1, and biomass concentrations up to 15 g L−1 in real time during diauxic growth. Root-mean-squared errors of prediction (RMSEP) of 0.68 g L−1, 0.48 g L−1, and 0.37 g L−1 for glucose, ethanol, and biomass were achieved using the MIR setup combined with a PLS model. In the case of Raman spectroscopy, the corresponding RMSEP values were 0.92 g L−1, 0.39 g L−1, and 0.29 g L−1. Nevertheless, the simple 4D MLR models could reach the performance of the more complex PLS evaluation. Consequently, the replacement of spectrometer setups by four-channel sensors were discussed. Moreover, the advantages and disadvantages of Raman and MIR setups are demonstrated with regard to process implementation.

ACS Style

Robert Schalk; Annabell Heintz; Frank Braun; Giuseppe Iacono; Matthias Rädle; Norbert Gretz; Frank-Jürgen Methner; Thomas Beuermann. Comparison of Raman and Mid-Infrared Spectroscopy for Real-Time Monitoring of Yeast Fermentations: A Proof-of-Concept for Multi-Channel Photometric Sensors. Applied Sciences 2019, 9, 2472 .

AMA Style

Robert Schalk, Annabell Heintz, Frank Braun, Giuseppe Iacono, Matthias Rädle, Norbert Gretz, Frank-Jürgen Methner, Thomas Beuermann. Comparison of Raman and Mid-Infrared Spectroscopy for Real-Time Monitoring of Yeast Fermentations: A Proof-of-Concept for Multi-Channel Photometric Sensors. Applied Sciences. 2019; 9 (12):2472.

Chicago/Turabian Style

Robert Schalk; Annabell Heintz; Frank Braun; Giuseppe Iacono; Matthias Rädle; Norbert Gretz; Frank-Jürgen Methner; Thomas Beuermann. 2019. "Comparison of Raman and Mid-Infrared Spectroscopy for Real-Time Monitoring of Yeast Fermentations: A Proof-of-Concept for Multi-Channel Photometric Sensors." Applied Sciences 9, no. 12: 2472.