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DiPoly (Diffraction Analysis of Polymers): A Software for the Biopolymers Testing Using Powder Diffraction Data Full article

Journal Journal of Structural Chemistry
ISSN: 0022-4766 , E-ISSN: 1573-8779
Output data Year: 2022, Volume: 63, Number: 4, Pages: 642-646 Pages count : 5 DOI: 10.1134/s0022476622040163
Tags cellulose; degree of crystallinity; software; X-ray diffraction
Authors Yatsenko D.A. 1,2
Affiliations
1 Novosibirsk State University, Novosibirsk, Russia
2 Boreskov Institute of Catalysis, Novosibirsk, Russia

Funding (2)

1 Federal Agency for Scientific Organizations 0303-2016-0002
2 Council for Grants of the President of the Russian Federation МК-1884.2020.8

Abstract: DiPoly is a new software combining main diffraction methods for the structural characterization of biopolymers. This freeware has a user friendly interface and allows processing experimental XRD powder diffraction patterns of polymer samples of biomasses of various origins. The sizes of coherent scattering regions are determined from the Scherrer equation, the degree of crystallinity is estimated using a complex approach based on Segal, decomposition, and Le Bail methods. The software can be used for the development of standardized methods of structural diagnostics in scientific research related to synthesis problems and for production control
Cite: Yatsenko D.A.
DiPoly (Diffraction Analysis of Polymers): A Software for the Biopolymers Testing Using Powder Diffraction Data
Journal of Structural Chemistry. 2022. V.63. N4. P.642-646. DOI: 10.1134/s0022476622040163 WOS Scopus РИНЦ OpenAlex ANCAN
Original: Яценко Д.А.
«DiPoly» (Diffraction Analysis of Polymers) — программное обеспечение для диагностики биополимеров по порошковым дифракционным данным
Журнал структурной химии. 2022. Т.63. №4. С.516-520. DOI: 10.26902/jsc_id91847 РИНЦ OpenAlex
Dates:
Submitted: Dec 4, 2021
Accepted: Dec 28, 2021
Published print: Apr 1, 2022
Published online: Jun 16, 2022
Identifiers:
≡ Web of science: WOS:000812287600016
≡ Scopus: 2-s2.0-85132126235
≡ Elibrary: 48721305
≡ OpenAlex: W4283011670
≡ Chemical Abstracts: 2022:1563799
≡ Chemical Abstracts (print): 179:231024
Citing:
≡ Scopus 1 Сбор данных от 15.02.2026
≡ Elibrary 0 Сбор данных от 15.02.2026
≡ Web of science 1 Сбор данных от 20.02.2026
≡ OpenAlex 1 Сбор данных от 15.02.2026
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