Optical disks, flash drives, and magnetic hard disk drives can only store digital information for a few decades, and they tend to require a lot of energy to maintain, making these methods less than ideal for long-term data storage. So researchers have been looking into using molecules as alternatives, most notably in DNA data storage. Those methods come with their own challenges, however, including high synthesis costs and slow read and write rates.
Now, Harvard University scientists have figured out how to use fluorescent dyes as bits for a cheaper, faster means of data storage, according to a new paper published in the journal ACS Central Science. The researchers tested their method by storing one of 19th-century physicist Michael Faraday‘s seminal papers on electromagnetism and chemistry, as well as a JPEG image of Faraday.
“This method could provide access to archival data storage at a low cost,” said co-author Amit A. Nagarkar, who conducted the research as a postdoctoral fellow in George Whitesides’ Harvard lab. “[It] provides access to long-term data storage using existing commercial technologies—inkjet printing and fluorescence microscopy.” Nagarkar is now working for a startup company that wants to commercialize the method.
There’s good reason for all the interest in using DNA for data storage. As we’ve reported previously, DNA has four chemical building blocks—adenine (A), thymine (T), guanine (G), and cytosine (C)—which constitute a type of code. Information can be stored in DNA by converting the data from binary code to a base-4 code and assigning it one of the four letters. DNA has significantly higher data density than conventional storage systems. A single gram can represent nearly 1 billion terabytes (1 zettabyte) of data. And it’s a robust medium: the stored data can be preserved for long periods of time—decades, or even centuries.
DNA data storage has progressed noticeably in recent years, leading to some inventive twists on the basic method. For instance, two years ago, Stanford scientists successfully fabricated a 3D-printed version of the Stanford bunny—a common test model in 3D computer graphics—that stored the printing instructions to reproduce the bunny. The bunny holds about 100 kilobytes of data, thanks to the addition of DNA-containing nanobeads to the plastic used to 3D print it.
But using DNA also presents imposing challenges. For instance, storing and retrieving data from DNA usually takes a significant amount of time, given all the sequencing required. And our ability to synthesize DNA still has a long way to go before it becomes a practical data-storage medium. So other scientists have explored the possibility of using nonbiological polymers for molecular data storage, decoding (or reading) the stored information by sequencing the polymers with tandem mass spectrometry. However, synthesizing and purifying the synthetic polymers is a costly, complicated, and time-consuming process.