A microfluidic emitter based on three-dimensional hydrodynamic focusing was developed to generate a wrapped charged aerosol plume, in which the distribution of the sample ion in the nanoelectrospray could be regulated. Deposition patterns of the wrapped spray from the proposed three-dimensional hydrodynamic focusing nanoelectrospray emitter (3D HFNE) were collected under different conditions to ensure the wrapped configuration. Moreover, sample ion intensities as well as their ratios to a focusing background ion were studied as a function of different displacements from the center of the wrapped electrospray to confirm the inhibition of ion expansion. Furthermore, the proposed 3D HFNE indicated improved sensitivities compared with a reported nanoelectropray emitter as well as its commercial ESI counterpart, and this demonstrated its capacity for determining samples with low concentrations and infusion rates. In addition, the proposed 3D HFNE was compatible with various sample flow compositions (from 100% methanol to 100% water) and a broad infusion rate range (from 10 nL min(-1) to 15 μL min(-1)). Finally, its stability and durability were indicated to be acceptable for various determinations. Therefore, the 3D HFNE is a potential option to achieve on-line nanoelectrospray MS determinations using microfluidics with conventional mass spectrometers, considering its low cost and user-friendly properties.
Nanoelectrospray ionization (nESI) mass spectrometry (MS) is an ideal detection method for microfluidic chips, and its performances depend on nESI emitters. However, the fabrication of monolithic nESI emitters in chips was difficult. Herein, we propose a three-dimensional (3D) printing method to develop a microfluidic nanoelectrospray ionization source (NIS), composed of a nESI emitter and other components. Firstly, the NIS was compatible with a 50 -500 nL min -1 nanoflows by imposing 3D hydrodynamic focusing to compensate for the total flow rate, achieving a 7.2% best relative standard deviation in the total ion current (TIC) profiles. Additionally, it was applied to probe thirteen organic chemicals, insulin, and lysozyme with adequate signal-to-noise ratios and an accuracy of m/z between 9.02 × 10 -1 and 1.48 × 10 3 ppm. Finally, the NIS achieved comparable limits of detection compared with its commercial counterpart. Considering the standardized preparation of NIS, it would be a potential option to develop 3D-printed customized Chip-MS platforms.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.