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Miniature spectrometer suits wearable applications

Technology News |
By Rich Pell


Researchers at the University of Michigan say they have developed a wafer-thin chip-scale spectrometer – a device that gleans information about a substance based on how it absorbs and reflects light – that is suitable for wearable applications. Measuring only 0.16 mm2, the robust gallium nitride lab-on-a-chip device, say the researchers, can also withstand harsh environments with severe radiation, such as space exploration, or those with high temperatures – and can be adapted to do blood analysis by simply projecting light onto the skin.

“As a wearable device, we’ll be able to put our device on a flexible substrate, such as sheets or fabric – or maybe on skin,” says doctoral researcher Tuba Sarwar.

The prototype optical spectrometer was initially developed with a specific purpose: measuring an athlete’s sweat in a device that could be worn as a skin patch. The device needn’t last long; in fact, being disposable was a plus.

Making such a device would require extreme miniaturization of current devices available in the marketplace, which measure closer to 12 cubic inches and cost hundreds to thousands of dollars. It would also require creating a device that can work in real time under changing conditions.

“Commercially, there are a lot of spectrometers that can work better than ours,” says Sarwar. “But our focus was miniaturization, especially the thickness of the device. These two features can give us an analysis of an active sample, such as sweat. We don’t need to go into the lab to use sophisticated instruments to get very precise measurements.”

Most commercially available spectrometers require a bench top system consisting of several distinct optical elements: 1) a light source to excite the sample; 2) spectral encoders to translate the light from the sample into a readable output; and 3) photodetectors to translate the encoded signal into the spectrum. Among these three elements, the spectral encoders often take up the most space or thickness which makes a thin sheet of spectrometer that can be suitable for epidermal applications difficult. 

The researchers took on the challenge of creating a device that could be worn as a skin patch, and created a miniaturized, low power, integrated device that works in visible light – specifically, within the wavelength range of 400-645 nm. The spectrometer includes only 16 photodetectors, each responsive to a unique spectrum of the light.

This low number of photodetectors was made possible by two key techniques: First, the researchers used strain engineering on gallium nitride (GaN)-based spectral encoders; second, they incorporated machine learning into the device’s operation in order to decode the signal emitted from the detector.

Strain engineering is a technique used, for example, in semiconductor manufacturing in which the material is stressed, or deformed. Done correctly, it can lead to new material properties that are better suited to specific applications. GaN semiconductors were selected as the foundational material because of their excellent optical properties across the visible spectrum. 

The desired result of a dramatically reduced dependence on the angle of the light was accomplished, which eliminated the need for precise positioning of the spectrometer and the associated optics. It also allowed the photodetectors to reside alongside the spectral encoders on the same chip.

Regarding the device’s operation, a simple non-negative least-squares (NNLS) algorithm was used to enable an efficient computational algorithm to recover the spectral information from the detectors’ signal. In terms of performance, the device was highly accurate in determining the peak wavelengths (with a standard deviation of 0.97%), but less accurate in measuring intensity ratio over different peak positions (with a standard deviation of 21.1%, or 10.4% after removing one outlier). 

The researchers say they expect that the reading of intensity ratios can be improved by increasing the number of photodetectors, and further developing the machine learning algorithm, such as by applying deep learning techniques. They are also working on several other enhancements to the prototype spectrometer.

“Our goal was not to build the best spectrometer in the world in terms of the resolution,” says Prof. P.C. Ku, “but to focus on other aspects that are just as exciting if not more: the size, the thickness, the power consumption, and the ease of operation.”

In terms of future applications, the researchers say that this miniature spectrometer could be built into a skin patch for health monitoring and diagnosis. The advantage it would have over existing devices is the fact that the excitation light source can also be easily integrated. The radiation hardness of the GaN semiconductors also makes the device potentially suitable for space exploration. 

For more, see “Miniaturizing a Chip-Scale Spectrometer Using Local Strain Engineering and Total-Variation Regularized Reconstruction.”


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