Automated microchannel alignment using innate opto-signature for microchip electrophoresis.

In laser-induced fluorescence (LIF) detection, optimal alignment is essential in maximizing the fluorescent signal and, hence, detection sensitivity. Micro-total analysis systems (µTAS) involving microchip electrophoresis (ME) are challenged with alignment of the optics to the separation channel each run due to the single-use nature. Furthermore, µTAS devices that are designed to operate autonomously and by non-experts face additional challenges in performing alignment with micrometer resolution without human intervention. As part of the development of a total DNA analysis system, we set out to develop an automated alignment (AA) method to locate a 50-by-50 µm separation channel on a freely rotating microfluidic device in the absence of a fluorescent dye, accomplished without additional hardware. We detail the innate fluorescent signature attainable from laser excitation and the optimization of the algorithm to achieve AA at 84.6% success rate from 26 microchips. This AA method was a key element in realizing complete automation of the DNA analysis process in order to advance our instrument to a technology readiness level of 7. This is the first description of an AA method for ME (and centrifugal ME) with the purpose of providing transparent technical details to bridge the gap from 'fully integrated' to 'fully automated' instruments for point-of-detection, sample in-answer-out use cases. Written in the context of a forensic application, the AA method is adaptable for a wide range of bioanalytical applications involving LIF detection.

Microfluidics: Rapid Diagnosis for Breast Cancer.

Breast cancer affected 1.7 million people worldwide in 2012 and accounts for approximately 23.3 % of all cancers diagnosed in women. The disease is characterized by a genetic mutation, either inherited or resulting from environmental factors, that causes uncontrollable cellular growth of breast tissue or adjacent tissues. Current means of diagnosing this disease depend on the individual analyzing the results from bulky, highly technical, and expensive equipment that is not globally accessible. As a result, patients can go undiagnosed due to a lack of available equipment or be over-diagnosed due to human error. This review attempts to highlight current means of diagnosing breast cancer and critically analyze their effectiveness and usefulness in terms of patient survival. An alternative means based on microfluidics biomarker detection is then presented. This method can be considered as a primary screening tool for diagnosing breast cancer based on its robustness, high throughput, low energy requirements, and accessibility to the general public.