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Visual paper-based sensor for the highly sensitive detection of caffeine in food and biological matrix based on CdTe-nano ZnTPyP combined with chemometrics

Crossref DOI link: https://doi.org/10.1007/s00604-020-04663-3

Published Online: 2021-01-06

Published Print: 2021-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Chen, Hengye

Liu, Rui

Guo, Xiaoming

Deng, Gaoqiong

Xu, Lu

Zhang, Lei

Lan, Wei

Zhou, Chunsong

She, Yuanbin

Fu, Haiyan
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (31972164)

National Natural Science Foundation of China (21776321)

National Natural Science Foundation of China (21776259)

National Natural Science Foundation of China (21665022)

National Natural Science Foundation of China (32001789)

National Natural Science Foundation of China (2020YFC1712700)
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Text and Data Mining valid from 2021-01-01

Version of Record valid from 2021-01-01
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Article History

Received: 25 August 2020

Accepted: 20 November 2020

First Online: 6 January 2021

Compliance with ethical standards

:

: The authors declare that they have no competing interests.

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