scholarly journals Eco-friendly multivariate curve resolution-alternating least squares and chromatographic quantifications of some veterinary drug residues in pharmaceutical industrial wastewater

RSC Advances ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 2935-2946
Author(s):  
Osama I. Abdel Sattar ◽  
Hamed H. M. Abuseada ◽  
Mohamed S. Emara ◽  
Mahmoud Rabee

Three eco-friendly and cost-effective analytical methods were developed and optimized for quantitative analysis of some veterinary drug residues in production wastewater samples.

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 555
Author(s):  
Bo Wang ◽  
Kaizhou Xie ◽  
Kiho Lee

Veterinary drugs are used to treat livestock and aquatic diseases and thus are introduced into animal-derived foods, endangering consumer health and safety. Antibiotic resistance is rapidly becoming a major worldwide problem, and there has been a steady increase in the number of pathogens that show multi-drug resistance. Illegal and excessive use of veterinary drugs in animals and aquaculture has serious adverse effects on humans and on all other environmental organisms. It is necessary to develop simple extraction methods and fast analytical methods to effectively detect veterinary drug residues in animal-derived foods. This review summarizes the application of various sample extraction techniques and detection and quantification methods for veterinary drug residues reported in the last decade (2010-2020). This review compares the advantages and disadvantages of various extraction techniques and detection methods and describes advanced methods, such as those that use electrochemical biosensors, piezoelectric biosensors, optical biosensors, and molecularly imprinted polymer biosensors. Finally, the future prospects and trends related to extraction methods, detection methods and advanced methods for the analysis of veterinary drug residues in animal-derived foods are summarized.


2019 ◽  
Vol 439 ◽  
pp. 1-12 ◽  
Author(s):  
Dongmei Chen ◽  
Xiaoshuang Pei ◽  
Mengru Wu ◽  
Shuyu Xie ◽  
Yuanhu Pan ◽  
...  

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