Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-11505
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Main Title: PyDSC: a simple tool to treat differential scanning calorimetry data
Author(s): Cisse, Aline
Peters, Judith
Lazzara, Giuseppe
Chiappisi, Leonardo
Type: Article
URI: https://depositonce.tu-berlin.de/handle/11303/12705
http://dx.doi.org/10.14279/depositonce-11505
License: https://creativecommons.org/licenses/by/4.0/
Abstract: Herein, we describe an open-source, Python-based, script to treat the output of differential scanning calorimetry (DSC) experiments, called pyDSC , available free of charge for download at https://github.com/leonardo-chiappisi/pyDSC under a GNU General Public License v3.0. The main aim of this program is to provide the community with a simple program to analyze raw DSC data. Key features include the correction from spurious signals, and, most importantly, the baseline is computed with a robust, physically consistent approach. We also show that the baseline correction routine implemented in the script is significantly more reproducible than different standard ones proposed by proprietary instrument control software provided with the microcalorimeter used in this work. Finally, the program can be easily applied to large amount of data, improving the reliability and reproducibility of DSC experiments.
Subject(s): baseline correction
DSC
phase transition
polymer stability
protein conformation
Python
Issue Date: 16-May-2020
Date Available: 4-Mar-2021
Language Code: en
DDC Class: 540 Chemie und zugeordnete Wissenschaften
Sponsor/Funder: TU Berlin, Open-Access-Mittel – 2020
Journal Title: Journal of Thermal Analysis and Calorimetry
Publisher: SpringerNature
Publisher DOI: 10.1007/s10973-020-09775-9
EISSN: 1588-2926
ISSN: 1388-6150
TU Affiliation(s): Fak. 2 Mathematik und Naturwissenschaften » Inst. Chemie » FG Physikalische Chemie / Molekulare Materialwissenschaften
Appears in Collections:Technische Universität Berlin » Publications

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