Further incorporation of traditionally laboratory-based biosensing into smartphone platforms has much potential, as it opens the door for testing in situations not currently feasible and by a much broader range of users. Such developments may help to facilitate the goal of “personalized medicine,” in which home-based tests may be used to diagnose a medical condition but with a system that automatically communicates results to a cloud-based monitoring system that alerts the physician when warranted. Low-cost portable biosensor systems integrated with smartphones also may enable diagnostic technology that can be translated to resource-poor regions of the world for pathogen detection, disease diagnosis, and monitoring of nutritional status. Such a system, deployed widely, would be capable of rapidly monitoring for the presence of environmental contaminants over large areas, or tracking the development of a medical condition throughout a large population. Of all the label-free detection approaches that have been demonstrated, those based upon optical phenomena have been most commercially accepted due to a combination of sensitivity, sensor cost, detection system robustness, and high throughput. Adsorption of biomolecules, viral particles, bacteria, or cells on the surface of an optical biosensor transducer results in a shift in the conditions of optimal optical coupling, which can be measured by illuminating the transducer surface and subsequently measuring a property of the reflected or transmitted light. Such a detection approach is extremely robust and has become economically advantageous due to the advent of low-cost light-emitting diodes, semiconductor lasers, and miniature spectrometers. For example, surface plasmon resonance (SPR)-based and photonic crystal (PC) optical biosensors are capable of detecting broad classes of biological analytes through their intrinsic dielectric permittivity. Each approach has been successfully implemented in the form of large laboratory instruments and miniaturized (shoebox-sized) systems. Our lab seeks to take such optical sensors and shrink them to handheld detachments, with our initial successes being in both the PC-based label-free sensing and Enzyme Linked Immunosorbent Assays (ELISA). ￼
Our developed technology uses a cradle-based attachment to allow the onboard camera of a smartphone to function as a spectrometer. The dispersion of light resulting from transmission through a diffraction grating allows transmitted light to be spatially differentiated along one dimension of the CMOS sensor. Changes in wavelength resultant from biological absorption to a PC surface, analogous to the PC-based bench top apparatuses used throughout the Nanosensors Group, can be measured with minimal modification to methodologies. Proof of concept has been demonstrated with both regular layers of polymer deposited on PCs as well as a basic biological absorption of Protein A and porcine IgG antibodies.
Similarly, ELISA procedures can be modified to be read on the smartphone system. Since its introduction, it has become one of the most widely adaptable tools for biological assays, allowing for the rapid quantification of proteins and antibodies for diseases ranging from HIV to cancer, yielding over 40,000 new articles involving the technology annually. An ELISA test is completed by immobilizing antibodies that possess an affinity for a specific biomolecule of interest onto a standard format 96-well microtiter plate and then passing over a series of liquids, exploiting the high specificity of the antibody-antigen interaction to eventually yield a colorometric change of the liquid sample based upon the cleavage of a chromogen moiety by an enzyme. When the optical absorptions of standards at known concentrations are used to obtain a calibration curve, the concentrations of an analyte within a test sample may be accurately determined via interpolation. Similarly, other color-specific absorption tests can be modified and read on the system. So far, we have demonstrated the success of such tests using both IL-6, a useful cancer biomarker, and Ara h 1, a biomarker responsible for peanut allergies, at physiologically relevant concentrations.
The smartphone biosensor is also capable of conducting fluorescence applications. Light emitters operate via a variety of optical mechanisms that include fluorescence, chemoluminescence, and semiconductor quantum dot-excited electron relaxation. Among these approaches, those that utilize the Förster Resonance Energy Transfer (FRET) as a mechanism for observing changes in the quenching efficiency between matched donor-acceptor pairs are effective methods for diagnostics applications, because single-step assays are performed in liquid, without complex mixing-washing steps. For FRET assays, the ability to measure the spectrum of fluorescent emission is especially useful, as the combined contributions of donor and acceptor fluorophores can be measured independently, while wavelength-selective filters are not necessary. By using the function of the smartphone fluorimeter, which can disperse and analyze the incident optical signal, a sensitive molecular-beacon FRET assay for a specific microRNA sequence can be performed. Our results show that smartphone-based spectroscopic fluorimetry is a route towards portable biomolecular assays for viral/bacterial pathogens and toxins. The resulting capability may find applications that include point-of-care detection/analysis of pathogens, specific nanoparticle detection, human/animal diagnostics, and food safety.
- K.D. Long, H. Yu, and B.T. Cunningham, “Smartphone instrument for portable enzyme-linked immunosorbent assays,” Biomed. Opt. Express, 5(11), 3792-3806, Sep. 2014.
- H. Yu, Y. Tan, and B.T. Cunningham, “Smartphone fluorescence spectroscopy,” Anal. Chem., 86, 8805-8813, Aug. 2014.
- D. Gallegos, K. Long, H. Yu, P. Clark, Y. Lin, S. George, P. Nath, and B.T. Cunningham, “Label-free biodetection using a smartphone,” Lab on a Chip, 13, 2124-2132, Apr. 2013.