Carbocyanine-Based Optical Sensor Array for the Discrimination of Proteins and Rennet Samples Using Hypochlorite Oxidation

Optical sensor arrays are widely used in obtaining fingerprints of samples, allowing for solutions of recognition and identification problems. An approach to extending the functionality of the sensor arrays is using a kinetic factor by conducting indicator reactions that proceed at measurable rates....

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Bibliographic Details
Main Authors: Beklemishev, M.K (Author), Doroshenko, I.A (Author), Podrugina, T.A (Author), Shik, A.V (Author), Stepanova, I.A (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Online Access:View Fulltext in Publisher
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008 230529s2023 CNT 000 0 und d
020 |a 14248220 (ISSN) 
245 1 0 |a Carbocyanine-Based Optical Sensor Array for the Discrimination of Proteins and Rennet Samples Using Hypochlorite Oxidation 
260 0 |b MDPI  |c 2023 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/s23094299 
856 |z View in Scopus  |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159265186&doi=10.3390%2fs23094299&partnerID=40&md5=f96748e06c928454cbb153f31a5d940c 
520 3 |a Optical sensor arrays are widely used in obtaining fingerprints of samples, allowing for solutions of recognition and identification problems. An approach to extending the functionality of the sensor arrays is using a kinetic factor by conducting indicator reactions that proceed at measurable rates. In this study, we propose a method for the discrimination of proteins based on their oxidation by sodium hypochlorite with the formation of the products, which, in turn, feature oxidation properties. As reducing agents to visualize these products, carbocyanine dyes IR-783 and Cy5.5-COOH are added to the reaction mixture at pH 5.3, and different spectral characteristics are registered every several minutes (absorbance in the visible region and fluorescence under excitation by UV (254 and 365 nm) and red light). The intensities of the photographic images of the 96-well plate are processed by principal component analysis (PCA) and linear discriminant analysis (LDA). Six model proteins (bovine and human serum albumins, γ-globulin, lysozyme, pepsin, and proteinase K) and 10 rennet samples (mixtures of chymosin and pepsin from different manufacturers) are recognized by the proposed method. The method is rapid and simple and uses only commercially available reagents. © 2023 by the authors. 
650 0 4 |a absorbance 
650 0 4 |a Absorbance 
650 0 4 |a Absorbances 
650 0 4 |a carbocyanine dye 
650 0 4 |a Carbocyanine dyes 
650 0 4 |a Carbocyanines 
650 0 4 |a Discriminant analysis 
650 0 4 |a fingerprinting 
650 0 4 |a Fingerprinting 
650 0 4 |a fluorescence 
650 0 4 |a Fluorescence 
650 0 4 |a hypochlorite 
650 0 4 |a Identification problem 
650 0 4 |a Kinetic factors 
650 0 4 |a linear discriminant analysis 
650 0 4 |a Linear discriminant analyze 
650 0 4 |a Mammals 
650 0 4 |a Optical sensor arrays 
650 0 4 |a Oxidation 
650 0 4 |a Photography 
650 0 4 |a Principal component analysis 
650 0 4 |a protein 
650 0 4 |a Proteins 
650 0 4 |a redox reaction 
650 0 4 |a Redox reactions 
650 0 4 |a Reducing agents 
650 0 4 |a rennet 
650 0 4 |a Rennet 
650 0 4 |a sensor array 
650 0 4 |a Sensors array 
700 1 0 |a Beklemishev, M.K.  |e author 
700 1 0 |a Doroshenko, I.A.  |e author 
700 1 0 |a Podrugina, T.A.  |e author 
700 1 0 |a Shik, A.V.  |e author 
700 1 0 |a Stepanova, I.A.  |e author 
773 |t Sensors