Zhifang Zhao
Huazhong University of Science and Technology
14 Papers
14 Citations
Zhifang Zhao is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Computer science & Laser-induced breakdown spectroscopy. The author has an hindex of 1, co-authored 4 publications.
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Papers
A Review on Laser-Induced Breakdown Spectroscopy in Different Cancers Diagnosis and Classification
Muhammad Nouman Khan,Qian Wang,Bushra Sana Idrees,Wenting Xiangli,Geer Teng,Xutai Cui,Zhifang Zhao,Kai Wei,Muhammad Abrar +8 more
TL;DR: An overview of the different cancers by LIBS is meant to summarize the research performed to date and suggest some suitable advanced chemometrics techniques and effective LIBS devices, if successfully implemented, would be significantly beneficial to the medical field in the future.
Quantitative analysis of mineral elements in hair and nails using calibration-free laser-induced breakdown spectroscopy
Siyu Zhang,Zhenlin Hu,Zhifang Zhao,Feng Chen,Yun Tang,Ziqian Sheng,Deng Zhang,Zhanjie Zhang,Honglin Jin,Huangsheng Pu,Lianbo Guo +10 more
TL;DR: In this article, a calibration-free LIBS (CF-LIBS) assisted with the standard reference line method was used to quantify the content ratio of Ca/Na and Mg/Na in hair and nails.
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Accurate Identification and Quantification of Chinese Yam Powder Adulteration Using Laser-Induced Breakdown Spectroscopy
Zhifang Zhao,Qian Wang,Xiangjun Xu,Feng Chen,Geer Teng,Kai Wei,Guoyan Chen,Yu Cai,Lianbo Guo +8 more
TL;DR: Wang et al. as discussed by the authors combined chemometric methods combined with laser-induced breakdown spectroscopy (LIBS) for identification and quantification of Chinese yam powder adulteration.
Application of Laser-Induced Breakdown Spectroscopy Combined with Chemometrics for Identification of Penicillin Manufacturers
TL;DR: The results show that LIBS combined with chemometrics could be used in the identification of penicillin manufacturers, and this method has application potential in drug quality supervision.
Visualization accuracy improvement of spectral quantitative analysis for meat adulteration using Gaussian distribution of regression coefficients in hyperspectral imaging
Zhifang Zhao,Hanyue Yu,Siyu Zhang,Yu Du,Ziqian Sheng,Yanwu Chu,Deng Zhang,Lianbo Guo,Lei Deng +8 more
TL;DR: In this article, a novel approach was proposed to combine visualization with pixel discrimination for the purpose of evaluating the adulteration level, which can be used to assess the percentage of adulterated meat can hardly recognized by a visual appraisal of their images.
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