A multidisciplinary approach for molecular diagnostics based on biosensors and microarrays

Tip in-light on: Advantages, challenges, and applications of combining AFM and Raman microscopy on biological samples

Scanning probe microscopies and spectroscopies, especially AFM and Confocal Raman microscopy are powerful tools to characterize biological materials. They are both non-destructive methods and reveal mechanical and chemical properties on the micro and nano-scale. In the last years the interest for increasing the lateral resolution of optical and spectral images has driven the development of new technologies that overcome the diffraction limit of light. The combination of AFM and Raman reaches resolutions of about 50-150 nm in near-field Raman and 1.7-50 nm in tip enhanced Raman spectroscopy (TERS) and both give a molecular information of the sample and the topography of the scanned surface. In this review, the mentioned approaches are introduced, the main advantages and problems for application on biological samples discussed and some examples for successful experiments given. Finally the potential of colocated AFM and Raman measurements is shown on a case study of cellulose-lignin films: the topography structures revealed by AFM can be related to a certain chemistry by the colocated Raman scan and additionally the mechanical properties be revealed by using the digital pulsed force mode. Microsc. Res. Tech. 80:30-40, 2017. © 2016 Wiley Periodicals, Inc.

Enhanced immobilization of gold nanoclusters on graphite

The immobilization of individual biological molecules by metal nanoparticles requires that the particles themselves be immobilized. We introduce a new technique for immobilization of gold clusters based on their binding to small tunnels in a graphite support, themselves created by the implantation of small clusters. These tunnels are shown to perform as more effective cluster immobilization sites than point defects on the surface of graphite. The method is tested with atomic force microscopy (AFM) (both contact and noncontact mode) scanning. Size-selected clusters with 923, 561, 309, and 147 atoms have been immobilized and imaged with high-resolution, noncontact AFM.

Numerical modeling of DNA-chip hybridization with chaotic advection

We present numerical simulations of DNA-chip hybridization, both in the "static" and "dynamical" cases. In the static case, transport of free targets is limited by molecular diffusion; in the dynamical case, an efficient mixing is achieved by chaotic advection, with a periodic protocol using pumps in a rectangular chamber. This protocol has been shown to achieve rapid and homogeneous mixing. We suppose in our model that all free targets are identical; the chip has different spots on which the probes are fixed, also all identical, and complementary to the targets. The reaction model is an infinite sink potential of width dh , i.e., a target is captured as soon as it comes close enough to a probe, at a distance lower than dh . Our results prove that mixing with chaotic advection enables much more rapid hybridization than the static case. We show and explain why the potential width dh does not play an important role in the final results, and we discuss the role of molecular diffusion. We also recover realistic reaction rates in the static case.

Glyco-biosensors: recent advances and applications for the detection of free and bound carbohydrates

The field of biosensor development now encompasses several areas specifically geared toward the rapid and sensitive detection, identification, and quantification of target analytes. In contrast to the more mature research and development of nucleic acid and protein biosensors, the development of 'glyco-biosensors' for detecting carbohydrates and conjugates of carbohydrates (glycoconjugates) is at a relatively nascent stage. The application of glyco-biosensors aims to open novel analytical and diagnostic avenues, encompassing industrial bioprocesses, biomedical and clinical applications. This area of research has been greatly aided by advancement brought by interdisciplinary mergers of engineering, biology, chemistry and physical sciences and enabling the miniaturization of detection platforms. In this review, we briefly introduce the need for glyco-biosensors, discuss current analytical technologies, and examine advances in glyco-biosensor approaches aimed at the detection and/or quantification of glycoconjugates or carbohydrates derived from glycoconjugates since 2005.