Sheng Qi

Dr. Sheng Qi

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2020 in International Journal of Pharmaceutics
Verified
Journal Article
Closed access
SHSherif I. Hamdallah
Sherif I. Hamdallah
RZRanda Zoqlam
Randa Zoqlam
PEPeer Erfle
Peer Erfle
MBMark Blyth
Mark Blyth
AAAlaaldin M Alkilany
Alaaldin M Alkilany
SQSheng Qi
Sheng Qi

31 October 2019 in ACS Nano
Verified
Journal Article
Closed access
YXYing Xu
Ying Xu
XHXuexiang Han
Xuexiang Han
YLYiye Li
Yiye Li
HMHuan Min
Huan Min
XZXiao Zhao
Xiao Zhao
GNGuangjun Nie
Guangjun Nie

31 May 2018 in Pharmaceutical Research
Verified
Journal Article
Open access
PDF file
JNJehad Nasereddin
Jehad Nasereddin
NWNikolaus Wellner
Nikolaus Wellner
MAMuqdad Alhijjaj
Muqdad Alhijjaj
PBPeter Belton
Peter Belton
SQSheng Qi
Sheng Qi
Purpose The filament-based feeding mechanism employed by the majority of fused deposition modelling (FDM) 3D printers dictates that the materials must have very specific mechanical characteristics. Without a suitable mechanical profile, the filament can cause blockages in the printer. The purpose of this study was to develop a method to screen the mechanical properties of pharmaceutically-relevant, hot-melt extruded filaments to predetermine their suitability for FDM. Methods A texture analyzer was used to simulate the forces a filament is subjected to inside the printer. The texture analyzer produced a force-distance curve referred to as the flexibility profile. Principal Component Analysis and Correlation Analysis statistical methods were then used to compare the flexibility profiles of commercial filaments to in-house made filaments. Results Principal component analysis showed clearly separated clustering of filaments that suffer from mechanical defects versus filaments which are suitable for printing. Correlation scores likewise showed significantly greater values with feedable filaments than their mechanically deficient counterparts. Conclusion The screening method developed in this study showed, with statistical significance and reproducibility, the ability to predetermine the feedability of extruded filaments into an FDM printer.

1 April 2008 in International Journal of Pharmaceutics
Verified
Journal Article
Closed access
SQSheng Qi
Sheng Qi
AGAndreas Gryczke
Andreas Gryczke
PBPeter Belton
Peter Belton
DCDuncan Q.M. Craig
Duncan Q.M. Craig

17 December 2015 in Molecular Pharmaceutics
Verified
Journal Article
Closed access
PTPratchaya Tipduangta
Pratchaya Tipduangta
PBPeter Belton
Peter Belton
LFLászló Fábián
László Fábián
LWLi Ying Wang
Li Ying Wang
Huiru TangHuiru Tang
Huiru Tang
SQSheng Qi
Sheng Qi