PDAATA201618

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PDAATA stands for Plasmonic Detection of Aliphatic Amino Acids in Tris buffer. It is a novel technology for biosenors that is capable of detecting amino acids in a very fast and reliable manner, without the need for any sample preparation. It is based on the principle of plasmonic biosensing, which uses surface plasmon resonance (SPR) to detect specific biomolecules using a reflective metal surface. It is a non-invasive sensing method used for the analysis of proteins, peptides, nucleic acids and amino acids in a variety of buffer systems. In this article, we will discuss the application fields and working principle of PDAATA.

The application fields for PDAATA are mainly in biosensing and diagnostics. Its fast, reliable and accurate sensing capabilities make it ideal for rapid and sensitive detection of amino acids in a variety of samples. It is particularly useful for clinical diagnostics and point-of-care applications such as disease detection and diagnosis. PDAATA has also proven to be effective in the detection of proteins, peptides and lipids, for food safety and quality control, as well as other food-related applications. In addition, it can also be used for environmental monitoring, such as testing for pollutants in water and soil.

The working principle of PDAATA involves the use of a plasmonic metal surface, usually gold, which is coated with specific ligands, to detect specific amino acids. The ligands are typically antibodies, peptides, or nucleic acids which are linked to gold. When an amino acid is present in the sample, it binds to the ligand and a change in the surface plasmon resonance is detected on the metal surface. This change in the SPR allows for the precise and quantitative detection of the amino acid in the sample.

In addition to using the SPR, PDAATA can also be used in a hybrid system which combines it with other sensing techniques. For example, fluorescent labels can be used in a Fluorescence Resonance Energy Transfer (FRET) system to allow for high sensitivity and specificity detection of amino acids. The combination of both SPE and FRET systems can provide improved accuracy, sensitivity and specificity for the measurement of amino acids in complex matrices.

PDAATA is a novel technology for biosensing which is fast, reliable and accurate, and is therefore suitable for a variety of applications across different fields. It is based on the principle of plasmonic biosensing using surface plasmon resonance and has been proven to be effective in the detection of amino acids, proteins, peptides, lipids and nucleic acids. It can also be used in a hybrid system which combines SPR with other techniques to provide even greater accuracy and sensitivity. As such, PDAATA is a powerful tool for a variety of applications across biosensing, diagnostics, food safety and quality control, as well as environmental monitoring.

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