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User-friendly lab-on-paper optical sensor for the rapid detection of bacterial spoilage in packaged meat products.
Abo Dena, Ahmed S; Khalid, Shaimaa A; Ghanem, Ahmed F; Shehata, Ahmed Ibrahim; El-Sherbiny, Ibrahim M.
Afiliación
  • Abo Dena AS; Nanomedicine Laboratory, Centre for Materials Science, Zewail City of Science and Technology, 6th of October Giza Egypt ielsherbiny@zewailcity.edu.eg.
  • Khalid SA; Pharmaceutical Chemistry Department, National Organization for Drug Control and Research (NODCAR) Giza Egypt.
  • Ghanem AF; Nanomedicine Laboratory, Centre for Materials Science, Zewail City of Science and Technology, 6th of October Giza Egypt ielsherbiny@zewailcity.edu.eg.
  • Shehata AI; Food Hygiene Department, Animal Health Research Institute (AHRI), Agricultural Research Center Giza Egypt.
  • El-Sherbiny IM; Packaging Materials Department, National Research Center 33 El Bohouth St. (former El Tahrir st.) Dokki Giza P.O. 12622 Egypt.
RSC Adv ; 11(56): 35165-35173, 2021 Oct 28.
Article en En | MEDLINE | ID: mdl-35493139
A lab-on-paper colorimetric sensor for detection and quantification of bacterial meat spoilage is reported. Bromocresol purple (BCP) and bromothymol blue (BTB) were used for the construction of the proposed sensor. An Android application allowing fast detection and accurate quantification of bacteria in the spoiled chicken meat samples was developed. The sensor was applied to the determination of spoilage in real chicken-meat samples, at chiller and room temperatures, and can be used for producing smart meat-packaging films. Linearity ranges were found to be 11.2 × 103 to 1.12 × 106 and 38.0 × 103 to 1.12 × 106 CFU g-1 for BTB and BCP, respectively. The calibration plots showed correlation coefficients (r) of 0.9998 (slope: 2.48 g CFU-1) and 0.9999 (slope: 1.95 g CFU-1) in case of bromothymol blue and bromocresol purple, respectively. The Android application uses standard images to plot a calibration curve for calculating the microbial count in the samples and relates it to the standard limits. Thereafter, the application shows a message with the product's freshness degree ranging from excellent to poor.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: RSC Adv Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: RSC Adv Año: 2021 Tipo del documento: Article