Application of ATP-based bioluminescence technology in bacterial detection: a review

Abstract

With the development of new technologies for rapid and high-throughput bacterial detection, ATP-based bioluminescence technology is making progress. Because live bacteria contain ATP, the number of bacteria is correlated with...

Recent advancements in physical and chemical MEMS sensors

“…129 This method does not require fluorescence labelling usually used for detection. 130 Flow-based separation is also effective for sensing rare cells. 131 MNPs are also useful for detecting bacteria.…”

Possibilities of an Electronic Nose on Piezoelectric Sensors with Polycomposite Coatings to Investigate the Microbiological Indicators of Milk

“…In recent years, methods for the rapid detection and monitoring of pathogenic microorganisms in milk and dairy products have been actively developed. Along with direct methods based on determining the composition of intracellular compounds and the cell wall components of microorganisms (for example, polymerase chain reaction [14], loop isothermal amplification of nucleic acids [15,16] and bioluminescence of the resulting adenosine triphosphate [17]), special attention has been paid to indirect methods of analysis based on recognition of the metabolic products of various microorganisms using sensors [18,19], including antibodies [20]. Moreover, a system of piezoelectric microelectrode arrays modified with conductive polymers has also been developed to monitor the bacterial contamination of fresh milk in real time in the concentration range of 10 3 -10 6 CFU/mL; the detection limit is 10 2 CFU/mL [21].…”

Electroactive polymer tag modified nanosensors for enhanced intracellular ATP detection

“…A variety of methods have been developed for the detection of ATP, such as colorimetry, 11 fluorescence, 12,13 bioluminescence, 14,15 surface-enhanced Raman scattering, 16 and electrochemical methods. 17–20 In general, ATP measurements based on optical methods are effective in the determination of ATP in populations of cells and visualizing ATP distribution at single cell/subcellular resolution.…”