Literature DB >> 30267409

Sensitive, simple and rapid colorimetric detection of malachite green in water, salmon and canned tuna samples based on gold nanoparticles.

Mina Heleyel1,2, Shahla Elhami1,2.   

Abstract

BACKGROUND: Malachite green is used in aquaculture and fisheries as a fungicide and antiseptic and it is also used in industry as a dye. However, malachite green is carcinogenic and highly toxic for humans and animals. In this study, a spectrophotometric method was developed to detect malachite green. The method was based on the surface plasmon resonance property of gold nanoparticles and interaction between malachite green and gold nanoparticles.
RESULTS: Malachite green-gold nanoparticles were rapidly aggregated in the acidic medium; as a result, a color change from red to blue was observed, which was easily detectable by the naked eye. The absorption ratio (A623/A520) of the gold nanoparticles in an optimized system exhibited a linear correlation with malachite green concentration. The method detection limit and linear range were 3 and 50-350 ng mL-1 , respectively. The method was applied successfully to detect malachite green in different samples.
CONCLUSION: The method was simple and rapid to detect malachite green. The most important advantages of the method are the possibility of malachite green determination with very good accuracy and sensitivity using a simple UV-visible spectrometer without any expensive or sophisticated instrumentation and also the versatility of real samples.
© 2018 Society of Chemical Industry. © 2018 Society of Chemical Industry.

Entities:  

Keywords:  canned tuna; malachite green; salmon; spectrophotometry; surface plasmon resonance

Mesh:

Substances:

Year:  2018        PMID: 30267409     DOI: 10.1002/jsfa.9387

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  1 in total

1.  A Rapid Tricolour Immunochromatographic Assay for Simultaneous Detection of Tricaine and Malachite Green.

Authors:  Yi-Kuan Lu; Di Xu; Wen-Yue Liu; Jing Xie; Ying Lu
Journal:  Biosensors (Basel)       Date:  2022-06-26
  1 in total

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