Literature DB >> 33179631

Rapid detection of mozzarella and feta cheese adulteration with cow milk through a silicon photonic immunosensor.

Michailia Angelopoulou1, Panagiota S Petrou1, Ioannis Raptis2, Konstantinos Misiakos2, Evangelia Livaniou3, Eleni Makarona2, Sotirios Kakabakos1.   

Abstract

Mozzarella di Bufala Campana and Feta are two cheeses with Protected Designation of Origin the fraudulent adulteration of which with bovine milk must be routinely checked to ensure that consumers actually buy these high-end products and avoid health issues related to bovine milk allergy. Here, we employed, for the first time, a silicon-based photonic immunosensor for the detection of mozzarella and feta adulteration with bovine milk. The photonic immunosensor used relies on Mach-Zehnder interferometers monolithically integrated along with their respective light sources on a silicon chip. A rabbit polyclonal antiserum raised against bovine κ-casein was used for the development of a competitive immunoassay realized in three steps, including a reaction with the antiserum, a biotinylated anti-rabbit IgG antibody, and streptavidin. The implementation of this assay configuration significantly reduced the non-specific signal due to the cheese matrix, and allowed completion of the assay in ∼9 min. After optimization of all assay conditions, bovine cheese could be quantified in mozzarella or feta at concentrations as low as 0.5 and 0.25% (w/w), respectively; both quantification limits were below the maximum allowable content of bovine milk in mozzarella and feta (1% w/w) according to the EU regulations. Equally important, the assays were reproducible with intra- and inter-assay coefficients of variation <10%, and exhibited a wide linear dynamic range that extended up to 50 and 25% (w/w) for mozzarella and feta, respectively. Taking into account its performance, the proposed immunosensor may be transformed to a new tool against fraudulent activities in the dairy industry.

Entities:  

Year:  2020        PMID: 33179631     DOI: 10.1039/d0an01706j

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  3 in total

1.  Droplet Digital PCR (ddPCR) Analysis for the Detection and Quantification of Cow DNA in Buffalo Mozzarella Cheese.

Authors:  Anna Cutarelli; Andrea Fulgione; Pasquale Fraulo; Francesco Paolo Serpe; Pasquale Gallo; Loredana Biondi; Federica Corrado; Angelo Citro; Federico Capuano
Journal:  Animals (Basel)       Date:  2021-04-28       Impact factor: 2.752

2.  Simultaneous Detection of Salmonella typhimurium and Escherichia coli O157:H7 in Drinking Water and Milk with Mach-Zehnder Interferometers Monolithically Integrated on Silicon Chips.

Authors:  Michailia Angelopoulou; Panagiota Petrou; Konstantinos Misiakos; Ioannis Raptis; Sotirios Kakabakos
Journal:  Biosensors (Basel)       Date:  2022-07-11

3.  Rapid Discrimination and Authentication of Korean Farmstead Mozzarella Cheese through MALDI-TOF and Multivariate Statistical Analysis.

Authors:  Sujatha Kandasamy; Jayeon Yoo; Jeonghee Yun; Han-Byul Kang; Kuk-Hwan Seol; Jun-Sang Ham
Journal:  Metabolites       Date:  2021-05-21
  3 in total

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