Performance Comparison between SemiAutomated and Manual Cell Counting for Animal Cell Culture
S. Uhlendorff, U. Odefey, B. Frahm, M. Pein-Hackelbusch, Chemie Ingenieur Technik (2025).

An die Hand genommen - Adhärenz bei Kindern
M. Pein-Hackelbusch, PTA heutef: Praxiswissen für die Apotheke 39 (2025) 38–42.

Diacetyl detection by electronic nose in beer-imitating matrices
L. Kemper, J. Wörner, J. Schneider, M. Pein-Hackelbusch, Diacetyl Detection by Electronic Nose in Beer-Imitating Matrices, 2025.

An iterative process and mixture design approach for dry granulated ternary blends of filler-binders
N. Märkle, G. Warnke, M. Pein-Hackelbusch, International Journal of Pharmaceutics: X 9 (2025).

Anomaly detection and removal strategies for in-line permittivity sensor signal used in bioprocesses
E. Bolmanis, S. Uhlendorff, M. Pein-Hackelbusch, V. Galvanauskas, O. Grigs, Frontiers in Bioengineering and Biotechnology 13 (2025).

Analysis of Anomaly Detection Techniques for In-line Permittivity Sensors in Bioprocesses
S. Uhlendorff, E. Bolmanis, M. Pein-Hackelbusch, V. Galvanauskas, O. Grigs, Analysis of Anomaly Detection Techniques for In-Line Permittivity Sensors in Bioprocesses, 2025.

Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis
S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, M. Pein-Hackelbusch, Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis, 2025.

Development and Implementation of Diversity Programs in Large Collaborative Research Projects: An Example From Germany
M. Lorke, R. Amelung, P. Kuchling, B. Paaßen, M. Pein-Hackelbusch, F. Schloots, K. Schulz, A. Nauerth, Diversity &; Inclusion Research 2 (2025).

Long-term drift behavior in metal oxide gas sensor arrays: a one-year dataset from an electronic nose
J. Wörner, J. Eimler, M. Pein-Hackelbusch, Scientific Data 12 (2025).

Critical View on the Qualification of Electronic Tongues Regarding Their Performance in the Development of Peroral Drug Formulations with Bitter Ingredients
D. Steiner, A. Meyer, I. Immohr, M. Pein-Hackelbusch, Pharmaceutics 16 (2024).

Hauptsache süß : Über die Geschmacksmaskierung in Antibiotika-Säften
M. Pein-Hackelbusch, Deutsche Apotheker Zeitung 164 (2024) 38–42.

Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses 
J. Kruse, J. Wörner, J. Schneider, H. Dörksen, M. Pein-Hackelbusch, Sensors 24 (2024).

Determination and prediction of the recycled polyethylene terephthalate content in preforms for the production of beverage bottles
L. Katsch, M. Trilling-Haasler, A. Fahmi, M. Pein-Hackelbusch, J. Schneider, Determination and Prediction of the Recycled Polyethylene Terephthalate Content in Preforms for the Production of Beverage Bottles, 2024.

PETauthent – Authentication of PET recyclate for food packaging using data-intensive sensors and machine learning methods
L. Katsch, M. Trilling-Haasler, M. Pein-Hackelbusch, J. Schneider, PETauthent – Authentication of PET Recyclate for Food Packaging Using Data-Intensive Sensors and Machine Learning Methods, 2024.

Der rPET Gehalt in Flaschen - eine Frage des Glaubens? 
M. Trilling-Haasler, L. Katsch, A. Fahmi, M. Pein-Hackelbusch, J. Schneider, Der rPET Gehalt in Flaschen - eine Frage des Glaubens? , 2024.

Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters
S. Ramm, U. Odefey, B. Frahm, M. Pein-Hackelbusch, (2024).

Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities
S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities, IEEE, [Piscataway, NJ], 2023.

Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression 
S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression , DECHEMA e.V., n.d.

A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions
R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, U. Odefey, Pharmaceutics 15 (2023).

Key Indicators for the Discrimination of Wines by Electronic Noses
J. Wörner, H. Dörksen, M. Pein-Hackelbusch, Key Indicators for the Discrimination of Wines by Electronic Noses, 2023.

Supporting wound infection diagnosis: advancements and challenges with electronic noses
J. Wörner, M. Moelleken, J. Dissemond, M. Pein-Hackelbusch, Frontiers in Sensors 4 (2023).

Dataset for A Novel Spectroscopic Approach for Vaseline Quality Discrimination
N.H. Fliedner, V. Lohweg, M. Pein-Hackelbusch, Dataset for A Novel Spectroscopic Approach for Vaseline Quality Discrimination, zenodo, 2023.

Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation
S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, M. Pein-Hackelbusch, Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation, 2023.

Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation.
S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, M. Pein-Hackelbusch, Pharmaceutics 14 (2022).