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Optical sensors known as colorimetric sensors change colour in response to external inputs. Any alteration to the physical or chemical environment qualifies as such a stimulus.
Another well-known sensing principle that is frequently utilised in industrial gas sensors is colorimetry. When an analyte interacts chemically with sensor materials, it causes a colour shift that is detected.
By applying the Beer-Lambert equation, which states that the concentration of a solute is proportional to the absorbance, colorimetry is a scientific technique used to quantify the concentration of coloured compounds in solutions.
The basic principles of thermal conduction and thermal transfer in liquids and gases serve as the foundation for the calorimetric measurement principle. Heat is the energy that a body with a greater temperature distributes into its surroundings. The mass flow rate and temperature differential both affect how much energy is released.
The Global Colorimetric Sensor Market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Recent Advances in Colorimetric Sensors Based on Gold Nanoparticles for Pathogen Detection. Infectious pathogens pose serious risks to the public’s health because of their horrifying infectiousness and lethality. The ability to quickly and accurately identify pathogens is crucial for avoiding illness.
Due to their distinct physicochemical characteristics, gold nanoparticles have received a lot of attention in colorimetric biosensing during the past few decades. With the advantages of high sensitivity, cheap cost, and simple operation, colorimetric diagnosis systems based on functionalized AuNPs are emerging as a viable pathogen-analysis tool.
The importance of identifying infections and the features of gold nanoparticles are introduced by current developments in this sector. The application of indirect target-mediated aggregation, chromogenic substrate-mediated catalytic activity, point-of-care testing (POCT) devices, and machine learning-assisted colorimetric sensor arrays are four categories of colorimetric techniques that are systematically introduced.
Specifically, three AuNP-based colorimetric sensors with biomolecule functionalization are detailed in great detail. Finally, subjective thoughts on the problems that currently face and some useful suggestions for the future directions of colorimetric sensor development.
