colorimetric detection
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2022 ◽  
Vol 124 ◽  
pp. 111985
Author(s):  
Nancy Sidana ◽  
Pooja Devi ◽  
Harminder Kaur

2022 ◽  
Vol 189 (2) ◽  
Author(s):  
Ying Liu ◽  
Jianghong Yan ◽  
Zhiheng Sun ◽  
Yu Huang ◽  
Xuwen Li ◽  
...  

Author(s):  
Esma Dervisevic ◽  
Nicolas H. Voelcker ◽  
Gail Risbridger ◽  
Kellie L. Tuck ◽  
Victor J. Cadarso

Chemosensors ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 25
Author(s):  
Patrícia S. Peixoto ◽  
Pedro H. Carvalho ◽  
Ana Machado ◽  
Luisa Barreiros ◽  
Adriano A. Bordalo ◽  
...  

Antibiotic resistance is a major health concern of the 21st century. The misuse of antibiotics over the years has led to their increasing presence in the environment, particularly in water resources, which can exacerbate the transmission of resistance genes and facilitate the emergence of resistant microorganisms. The objective of the present work is to develop a chemosensor for screening of sulfonamides in environmental waters, targeting sulfamethoxazole as the model analyte. The methodology was based on the retention of sulfamethoxazole in disks containing polystyrene divinylbenzene sulfonated sorbent particles and reaction with p-dimethylaminocinnamaldehyde, followed by colorimetric detection using a computer-vision algorithm. Several color spaces (RGB, HSV and CIELAB) were evaluated, with the coordinate a_star, from the CIELAB color space, providing the highest sensitivity. Moreover, in order to avoid possible errors due to variations in illumination, a color palette is included in the picture of the analytical disk, and a correction using the a_star value from one of the color patches is proposed. The methodology presented recoveries of 82–101% at 0.1 µg and 0.5 µg of sulfamethoxazole (25 mL), providing a detection limit of 0.08 µg and a quantification limit of 0.26 µg. As a proof of concept, application to in-field analysis was successfully implemented.


Author(s):  
Jaydeep Singh ◽  
Rajshree Singh ◽  
Shikha Singh ◽  
Kheyanath Mitra ◽  
Sourov Mondal ◽  
...  

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