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Xu, Zijun, Wang, Zhaokun, Liu, Mingyang, Yan, Binwei, Ren, Xueqin, Gao, Zideng (2020) Machine learning assisted dual-channel carbon quantum dots-based fluorescence sensor array for detection of tetracyclines. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 232. 118147 doi:10.1016/j.saa.2020.118147

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Reference TypeJournal (article/letter/editorial)
TitleMachine learning assisted dual-channel carbon quantum dots-based fluorescence sensor array for detection of tetracyclines
JournalSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
AuthorsXu, ZijunAuthor
Wang, ZhaokunAuthor
Liu, MingyangAuthor
Yan, BinweiAuthor
Ren, XueqinAuthor
Gao, ZidengAuthor
Year2020 (May)Volume232
PublisherElsevier BV
DOIdoi:10.1016/j.saa.2020.118147Search in ResearchGate
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Mindat Ref. ID16401955Long-form Identifiermindat:1:5:16401955:3
GUID0
Full ReferenceXu, Zijun, Wang, Zhaokun, Liu, Mingyang, Yan, Binwei, Ren, Xueqin, Gao, Zideng (2020) Machine learning assisted dual-channel carbon quantum dots-based fluorescence sensor array for detection of tetracyclines. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 232. 118147 doi:10.1016/j.saa.2020.118147
Plain TextXu, Zijun, Wang, Zhaokun, Liu, Mingyang, Yan, Binwei, Ren, Xueqin, Gao, Zideng (2020) Machine learning assisted dual-channel carbon quantum dots-based fluorescence sensor array for detection of tetracyclines. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 232. 118147 doi:10.1016/j.saa.2020.118147
In(2020) Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Vol. 232. Elsevier BV

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