Fingerprint Mass Spectrometry Method

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fingerprint mass spectrometry

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ScienceDaily

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New fingerprint mass spectrometry method paves the way to solving the proteome

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New data-driven technique paves the way to solving the proteome.

Caltech scientists have developed a method driven by machine learning that allows them to accurately measure the mass of individual particles and molecules using complex nanoscale devices.

The new technique opens the possibility of using a variety of devices for the measurement of mass and, therefore, the identification of proteins.

Caltech researchers have developed a new technique they call "fingerprint nanoelectromechanical mass spectrometry" Using this method, the researchers randomly place a single particle on a NEMS device under ultrahigh vacuum and at ultralow temperature.

In real time, they measure how the frequencies of several device modes change with that placement.

This allows them to construct a high-dimensional vector representing those changes in frequency.

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