Residential College | false |
Status | 已發表Published |
Single stain hyperspectral imaging for accurate fungal pathogens identification and quantification | |
Zhang, Yongqiang1; Liu, Kunxing2; Yu, Jingkun1; Chen, Haifeng4; Fu, Rui1; Zhu, Siqi2; Chen, Zhenqiang2; Wang, Shuangpeng3; Lu, Siyu1 | |
2021-09 | |
Source Publication | Nano Research |
ISSN | 1998-0124 |
Volume | 15Issue:7Pages:6399-6406 |
Abstract | The most widely used method of identification of microbial morphology and structure is microscopy, but it can be difficult to distinguish between pathogens with a similar appearance. Existing fluorescent staining methods require a combination of a variety of fluorescent materials to meet this demand. In this study, unique concentration-dependent fluorescent carbon dots (CDs) were synthesized for the identification and quantification of pathogens. The emission wavelength of the CDs could be tuned spanning the full visible region by virtue of aggregation-induced narrowing of bandgaps. This tunable emission wavelength of the specific concentration response to diverse microbes can be used to distinguish microorganisms with a similar appearance, even in a same genus. A hyperspectral microscopy system was demonstrated to distinguish Aspergillus flavus and A. fumigatus based on the results above. The identification accuracy of the two similar-looking pathogens can be close to 100%, and the relative proportions and spatial distributions can also be profiled from the mixture of the pathogens. This technique can provide a solution to the fast detection of microorganisms and is potentially applicable to a wide range of problems in areas such as healthcare, food preparation, biotechnology, and health emergency. |
Keyword | Carbon Dots Concentration-dependent Wavelength-tunable Hyperspectral Imaging Machine-learning Pathogens Rapid Detection |
DOI | 10.1007/s12274-021-3776-2 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics |
WOS Subject | Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Atomic, Molecular & Chemical |
WOS ID | WOS:000692975000003 |
Scopus ID | 2-s2.0-85114361752 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | INSTITUTE OF APPLIED PHYSICS AND MATERIALS ENGINEERING |
Corresponding Author | Zhu, Siqi; Wang, Shuangpeng; Lu, Siyu |
Affiliation | 1.Green Catalysis Center, and College of Chemistry, Zhengzhou University, Zhengzhou, 450001, China 2.Department of Optoelectronic Engineering, Jinan University, Guangzhou, 510632, China 3.Institute of Applied Physics and Materials Engineering, University of Macau, Taipa, 999078, Macao 4.School of electronic information and electrical engineering, Chongqing University of Arts and Sciences, Chongqing, 402160, China |
Corresponding Author Affilication | INSTITUTE OF APPLIED PHYSICS AND MATERIALS ENGINEERING |
Recommended Citation GB/T 7714 | Zhang, Yongqiang,Liu, Kunxing,Yu, Jingkun,et al. Single stain hyperspectral imaging for accurate fungal pathogens identification and quantification[J]. Nano Research, 2021, 15(7), 6399-6406. |
APA | Zhang, Yongqiang., Liu, Kunxing., Yu, Jingkun., Chen, Haifeng., Fu, Rui., Zhu, Siqi., Chen, Zhenqiang., Wang, Shuangpeng., & Lu, Siyu (2021). Single stain hyperspectral imaging for accurate fungal pathogens identification and quantification. Nano Research, 15(7), 6399-6406. |
MLA | Zhang, Yongqiang,et al."Single stain hyperspectral imaging for accurate fungal pathogens identification and quantification".Nano Research 15.7(2021):6399-6406. |
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