Dual-Mode Biosensor for Simultaneous and Rapid Detection of Live and Whole Salmonella Typhimurium Based on Bioluminescence and Fluorescence Detection.
Biophysical reviews and letters(2023)
Ningbo Univ
Abstract
Both live and dead Salmonella typhimurium (S.T) are harmful to human health, but there are differences in pathological mechanism, dosage, and security. It is crucial to develop a rapid and simultaneous assay to distinguish and quantify live and dead S.T in foods. Herein, one dual-mode biosensor for simultaneous detection of live and dead S.T was fabricated based on two phage probes, using portable bioluminescence and fluorescent meter as detectors, respectively. Firstly, a magnetic phage capture probe (M-P1) and a phage signal tag (P2-S) labeled with SYTO 13 fluorescent dye were prepared, respectively. Both M-P1 and P2-S can specifically conjugate with S.T to form a magnetic sandwich complex. After magnetic separation, the isolated complex can emit a fluorescent signal under an excited 365 nm laser, which can reflect the total amount of S.T. Afterwards, the lysozyme was added to decompose the captured live S.T, which can release ATP and produce a bioluminescent signal corresponding to the live S.T amount. The dead S.T concentration can be deduced by the difference between total and live examples. The detection limit of 55 CFU/mL for total S.T and 9 CFU/mL for live ones was within 20 min. The assay was successfully employed in milk samples and prospectively for on-site screening of other dead and live bacteria, while changing the phages for the targets.
MoreTranslated text
Key words
dual-mode biosensor,dead and live bacteria,Salmonella typhimurium,magnetic phages,portable ATP bioluminescence,fluorescence meter
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
Analytica Chimica Acta 2023
被引用3
The Analyst 2023
被引用0
Analytical Chemistry 2024
被引用3
JOURNAL OF DAIRY SCIENCE 2024
被引用0
MICROCHIMICA ACTA 2024
被引用0
Rapid and Sensitive Quantification of Bacterial Viability Using Ratiometric Fluorescence Sensing.
ANALYTICAL CHEMISTRY 2024
被引用4
An Overview of Signal Amplification Strategies and Construction Methods on Phage-Based Biosensors
FOOD RESEARCH INTERNATIONAL 2024
被引用3
Quantifying the Viability of Lactic Acid Bacteria Using Ratiometric Fluorescence Assays
MICROCHEMICAL JOURNAL 2024
被引用3
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper