Label-Free Detection of Bacteria in Fruit Juice by Nano-Flow Cytometry

SERS Sensors Based on Aptamer-Gated Mesoporous Silica Nanoparticles for Quantitative Detection of Staphylococcus aureus with Signal Molecular Release

“…So far, several methods such as plate culture method, enzyme-linked immunosorbent assay, molecular biological detection, for example, polymerase chain reaction, have been focused on the determination of foodborne pathogens in different matrices. These methods not only require expensive instruments and highly skilled workers but also involve intricate sample pretreatments and are time-consuming, − hence limiting their application in food safety and security. Consequently, it is particularly important to establish a simple, sensitive, and specific method for the quantitative detection of S.…”

Bridge-DNA synthesis triggered by an allosteric aptamer for the colorimetric detection of pathogenic bacteria

“…Both AuNP-BDS and plate cultivation were carried out to evaluate the bacterial recovery. For the milk and orange juice, pretreatment was need to separate the bacteria from the food particles, as described by our previous work 6,10 and ESI Protocols S1 and S2. † By using plate cultivation as a reference, the bacterial recoveries for all the drinks exceeded 90%, as shown in Fig.…”

Ag NP-filter paper based SERS sensor coupled with multivariate analysis for rapid identification of bacteria

“…4 Therefore, the accurate identication and discrimination of bacteria play a vital role in ensuring food safety and reducing pathogenic bacterial infection. Previously, several analytical methods have been used to detect bacteria, such as the traditional bacterial culture detection method, polymerase chain reaction (PCR), ow cytometry (FCM) [5][6][7] and enzyme-linked immunosorbent assay (ELISAs). 8 Although, these methods presented excellent accuracy and sensitivity in bacterial detection they are inherently time-consuming, laborious, expensive, and complex, and require well-trained personnel and cumbersome facilities, making them less attractive than low-cost and rapid detection applications.…”