Litcius/Paper detail

Drop-on-demand printing of amine-responsive fluorescence-ratiometric sensor array for online monitoring meat freshness

Zhijian Wang, Xudong Shi, Jie Guo, Lin Wang, Meilin Cao, Shiyao Wang, Yisheng Chen

2024Food Chemistry X12 citationsDOIOpen Access PDF

Abstract

Aiming to enable online freshness-monitoring of meat within modified-atmosphere package, we developed a ratiometric array that was fluorescently responsive to volatile organic compounds-ammonia (NH 3 ) released by protein decaying. The array was consisted of two 3 mm × 6 mm rectangles precisely and uniformly printed with fluorescein isothiocyanate (FITC) as indicator and rhodamine B (RhB) as internal reference on the filter-paper, respectively. The fluorescence intensity of the array area was calibrated according to Green/Red ratio of the digitalized pixels extracted from images facilitated by a smartphone. The fluorescence-ratiometric sensor array displayed remarkable detection performances, including high sensitivity (LOD = 1.1 ppm), stability (91 % responding attenuation over 10 d of storage) and reproducibility (RSD < 10 %), which was further validated with real pork and shrimp samples. Subsequently, the fluorescent signals of the dual-rectangle array showed high correlation to the total volatile base nitrogen value that was officially used for indexing the meat freshness status. • Fluorescence-ratiometric sensor array was prepared using drop-on-demand printing. • The sensor array showed good sensitivity to the VOCs associated with meat spoilage. • The sensor array displayed excellent reproducibility and storage stability. • The performance of the established sensor array was validated with real meat samples.

Topics & Concepts

FluorescenceDrop (telecommunication)Amine gas treatingOn demandProcess engineeringNanotechnologyMaterials scienceEnvironmental scienceComputer scienceEngineeringTelecommunicationsEnvironmental engineeringMultimediaOpticsPhysicsAdvanced Chemical Sensor TechnologiesBiosensors and Analytical DetectionIdentification and Quantification in Food