Conventional bioassays often depend on labeling to detect biomolecular interactions. Although these techniques have been used for many years, in multiple applications, they are not without their issues. The enzymes or fluorescent molecules often used as labels are not inert and can present many challenges, including non-specific binding issues.
The latest label-free quantification techniques eliminate the issues presented by labels by removing them altogether, allowing the analyst to get closer to the analyte and monitor it in real-time. Interactions can now be observed as they occur so that the kinetics, as well as the affinity of the analyte-ligand relationship, can be revealed.
Not only can the analyst get closer to the interaction, but they can also achieve faster and more automated results by using label-free techniques with fewer manual sample preparation or post-analysis manipulation steps.
Although label-free interaction analysis offers many benefits, there are several different technologies to choose between, each with its advantages and disadvantages. Since molecules have a diverse range of characteristics and behaviors, such as sensitivity, size and complexity, these parameters must be considered when choosing a label-free technology.
This eBook explores the three main label-free interaction analysis technologies, their pros and cons and their recommended applications, helping you choose the right technique for your analytics program.
Please login or register for free to download.
Conventional bioassays often depend on labeling to detect biomolecular interactions. Although these techniques have been used for many years, in multiple applications, they are not without their issues. The enzymes or fluorescent molecules often used as labels are not inert and can present many challenges, including non-specific binding issues.
The latest label-free quantification analysis techniques eliminate the issues presented by labels by removing them altogether, allowing the analyst to get closer to the analyte and monitor it in real-time. Interactions can now be observed as they occur so that the kinetics, as well as the affinity of the analyte-ligand relationship, can be revealed.
Not only can the analyst get closer to the interaction, but they can also achieve faster and more automated results by using label-free techniques with fewer manual sample preparation or post-analysis manipulation steps.
Although label-free interaction analysis offers many benefits, there are several different technologies to choose between, each with its advantages and disadvantages. Since molecules have a diverse range of characteristics and behaviors, such as sensitivity, size and complexity, these parameters must be considered when choosing a label-free technology.
This eBook explores the three main label-free interaction analysis technologies, their pros and cons, and their recommended applications, helping you choose the right technique for your analytics program.
