A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning-Reference-Cited by-同舟云学术

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A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Published:2021-07-01 Issue:3 Volume:16 Page:
ISSN:2095-2201
Container-title:Frontiers of Environmental Science & Engineering
language:en
Short-container-title:Front. Environ. Sci. Eng.

Author:

Huang Yicai,Chen Jiayuan,Duan Qiannan,Feng Yunjin,Luo Run,Wang Wenjing,Liu Fenli,Bi Sifan,Lee Jianchao

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s11783-021-1472-9.pdf

Reference51 articles.

1. Aga D S, Lenczewski M, Snow D, Muurinen J, Sallach J B, Wallace J S (2016). Challenges in the measurement of antibiotics and in evaluating their impacts in agroecosystems: A critical review. Journal of Environmental Quality, 45(2): 407–419

2. Ahmed S, Ning J, Cheng G, Ahmad I, Li J, Mingyue L, Qu W, Iqbal M, Shabbir M A B, Yuan Z (2017). Receptor-based screening assays for the detection of antibiotics residues: A review. Talanta, 166: 176–186

3. Ahmed S, Ning J, Peng D, Chen T, Ahmad I, Ali A, Lei Z, Abu Bakr Shabbir M, Cheng G, Yuan Z (2020). Current advances in immunoassays for the detection of antibiotics residues: A review. Food and Agricultural Immunology, 31(1): 268–290

4. Al-Jarrah O Y, Yoo P D, Muhaidat S, Karagiannidis G K, Taha K (2015). Efficient machine learning for big data: A review. Big Data Research, 2(3): 87–93

5. Alsheikh M A, Lin S, Niyato D, Tan H (2014). Machine learning in wireless sensor networks: Algorithms, strategies, and applications. IEEE Communications Surveys and Tutorials, 16(4): 1996–2018

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