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Title: Rapid nondestructive detection of mixed pesticides residues on fruit surface using SERS combined with self-modeling mixture analysis method

Authors:
; ; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research
OSTI Identifier:
1631402
Grant/Contract Number:  
2019B020212001
Resource Type:
Published Article
Journal Name:
Talanta
Additional Journal Information:
Journal Name: Talanta Journal Volume: 217 Journal Issue: C; Journal ID: ISSN 0039-9140
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Hu, Bingxue, Sun, Da-Wen, Pu, Hongbin, and Wei, Qingyi. Rapid nondestructive detection of mixed pesticides residues on fruit surface using SERS combined with self-modeling mixture analysis method. United Kingdom: N. p., 2020. Web. doi:10.1016/j.talanta.2020.120998.
Hu, Bingxue, Sun, Da-Wen, Pu, Hongbin, & Wei, Qingyi. Rapid nondestructive detection of mixed pesticides residues on fruit surface using SERS combined with self-modeling mixture analysis method. United Kingdom. https://doi.org/10.1016/j.talanta.2020.120998
Hu, Bingxue, Sun, Da-Wen, Pu, Hongbin, and Wei, Qingyi. Tue . "Rapid nondestructive detection of mixed pesticides residues on fruit surface using SERS combined with self-modeling mixture analysis method". United Kingdom. https://doi.org/10.1016/j.talanta.2020.120998.
@article{osti_1631402,
title = {Rapid nondestructive detection of mixed pesticides residues on fruit surface using SERS combined with self-modeling mixture analysis method},
author = {Hu, Bingxue and Sun, Da-Wen and Pu, Hongbin and Wei, Qingyi},
abstractNote = {},
doi = {10.1016/j.talanta.2020.120998},
journal = {Talanta},
number = C,
volume = 217,
place = {United Kingdom},
year = {2020},
month = {9}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.talanta.2020.120998

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Cited by: 5 works
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