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Molecular data storage with zero synthetic effort and simple read-out

Bohn, Philipp 1; Weisel, Maximilian P. 1; Wolfs, Jonas ORCID iD icon 1; Meier, Michael A. R. 1,2
1 Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
2 Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)


Compound mixtures represent an alternative, additional approach to DNA and synthetic sequence-defined macromolecules in the field of non-conventional molecular data storage, which may be useful depending on the target application. Here, we report a fast and efficient method for information storage in molecular mixtures by the direct use of commercially available chemicals and thus, zero synthetic steps need to be performed. As a proof of principle, a binary coding language is used for encoding words in ASCII or black and white pixels of a bitmap. This way, we stored a 25 × 25-pixel QR code (625 bits) and a picture of the same size. Decoding of the written information is achieved via spectroscopic (1H NMR) or chromatographic (gas chromatography) analysis. In addition, for a faster and automated read-out of the data, we developed a decoding software, which also orders the data sets according to an internal “ordering” standard. Molecular keys or anticounterfeiting are possible areas of application for information-containing compound mixtures.

Verlagsausgabe §
DOI: 10.5445/IR/1000150369
Veröffentlicht am 08.09.2022
DOI: 10.1038/s41598-022-18108-9
Zitationen: 7
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biologische und Chemische Systeme (IBCS)
Institut für Organische Chemie (IOC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2045-2322
KITopen-ID: 1000150369
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Scientific Reports
Verlag Nature Research
Band 12
Heft 1
Seiten Art.-Nr.: 13878
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 16.08.2022
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