Experimental Measurements of Relative Mobility Shifts Resulting from Isotopic Substitutions with High-Resolution Cyclic Ion Mobility Separations.

Herein, we report on the experimental measurements for estimated relative mobility shifts caused by changes in mass distribution from isotopic substitutions in isotopologues and isotopomers with high-resolution cyclic ion mobility separations. By utilizing unlabeled and fully labeled isotopologues with the same isotopic substitutions (i.e., 2H or 13C), we created a highly precise mobility scale for each set analyzed to determine the magnitude of such mass distribution shifts and thus calculate estimated deviations from expected, theoretical reduced mass contributions. We observed relative mobility shifts in various isotopologues (e.g., hexadecyltrimethylammonium, sucrose, and palmitic acid species) that deviated from reduced mass theory, according to the Mason-Schamp relationship, ranging in estimated magnitude from ∼0.007% up to ∼0.1% in relative mobility. More interestingly, it was found that two deuterated palmitic acid isotopomers also differed by ∼0.03% from one another in their respective relative mobility shifts. Our results are the first report of isotopologue and isotopomer separations on a commercially available cyclic ion mobility spectrometry-mass spectrometry platform. We envision that our presented mobility scale methodology will have broad applicability in studying the effect of mass distribution changes from isotopic substitutions in other biomolecules and help pave the way for the improvement of ion mobility theory and collision cross section calculators.

Hybrid-Lipid Bilayers Induce n-Alkyl-Chain Order in Reversed-Phase Chromatographic Surfaces, Impacting their Shape Selectivity for Aromatic Hydrocarbon Partitioning.

Shape selectivity is important in reversed-phase liquid chromatographic separations, where stationary phases are capable of separating geometric isomers, thereby resolving solutes based on their three-dimensional structure or shape rather than other chemical differences. Numerous chromatographic studies have been carried out using n-alkyl-chain-modified columns to understand how molecular shape affects retention. For polycyclic aromatic hydrocarbons (PAHs), it was found that planar compounds were selectively retained over nonplanar structures of comparable molecular weight on surfaces with longer n-alkyl chains, higher chain-density, or at lower temperatures, where selectivity likely arises with greater ordering of the n-alkyl chains. A limitation of these studies, however, is the small range of chain ordering that can be achieved and lack of a direct measure of the n-alkyl-chain order of the stationary phases. In this work, we employ a C18 stationary phase modified with a monolayer of phospholipid as a means of significantly varying the n-alkyl chain order. These hybrid-supported lipid bilayers, which have previously been employed as membrane-like stationary phases for measuring lipophilicity, provide a unique approach to control n-alkyl chain ordering by varying the acyl chain length and degree of unsaturation of the phospholipid modifier. The degree of alkyl-chain order of the resulting modified surfaces is determined from the ratio of trans- versus gauche-conformers, measured in situ within individual porous particles by confocal Raman microscopy. This methodology was also used to assess the affinity of these surfaces for planar versus nonplanar PAH molecules. The retention selectivity for the planar versus nonplanar compounds, thus determined, was found to vary significantly and systematically with the degree of order of the acyl/alkyl chains in the hybrid-supported lipid bilayers. The investigation also demonstrates the utility of confocal Raman microscopy for interrogating the impact of solute partitioning on stationary-phase structure within porous chromatographic particles.

Characterization of a Bio-sourced, Fluorescent, Ratiometric pH Indicator with Alkaline pKa.

Utilizing organisms as sources of fluorophores relieves the demand for petroleum feedstock in organic synthesis of fluorescent products, and endophytic fungi provide a promising vein for natural fluorescent products. We report the characterization of a pH-responsive fluorophore from an endophytic fungus isolated from sand pine. The endogenous fluorescence of the live organism was measured using fluorescence microscopy. Computational interpretation of the spectra was accomplished with time-dependent density functional theory methods. The combined use of experimental and theoretically predicted spectra revealed the pH equilibria and photoexcited tautomerization of the natural product, 5-methylmellein. This product shows promise both as a stand-alone pH-indicating fluorophore, with alkaline pKa , and as "green" feedstock for synthesis of custom fluorophores.

Identification of detergents for forensic fiber analysis.

Trace fibers are an important form of trace evidence, and identification of exogenous substances on textile fibers provides valuable information about the origin of the fiber. Laundering textiles can provide a unique fluorescent spectral signature of the whitening agent in the detergent that adsorbs to the fiber. Using fluorescence microscopy, the spectral characteristics of seven detergents adsorbed to single fibers drawn from laundered textiles were investigated, and principal component analysis of clusters was used to characterize the type of detergent on the fiber. On dyed nylon fibers, spectra from eight different detergent pairs could be resolved and washed validation fibers correctly classified. On dyed acrylic fibers, five different detergent pairs could be resolved and identified. Identification of the detergent type may prove useful in matching a trace fiber to its bulk specimen of origin.

Nondestructive Total Excitation-Emission Fluorescence Microscopy Combined with Multi-Way Chemometric Analysis for Visually Indistinguishable Single Fiber Discrimination.

The potential of total excitation-emission fluorescence microscopy combined with multiway chemometric analysis was investigated for the nondestructive forensic analysis of textile fibers. The four pairs of visually indistinguishable fibers consisted of nylon 361 dyed with acid yellow 17 and acid yellow 23, acetate satin 105B dyed with disperse blue 3 and disperse blue 14, polyester 777 dyed with disperse red 1 and disperse red 19, and acrylic 864 dyed with basic green 1 and basic green 4. Excitation emission matrices were recorded with the aid of an inverted microscope and a commercial spectrofluorimeter. The full information content of excitation-emission matrices was processed with the aid of unsupervised parallel factor analysis (PARAFAC), PARAFAC supervised by linear discriminant analysis (LDA), and discriminant unfolded partial least-squares (DU-PLS). The ability of the latter algorithm to classify the four pairs of fibers demonstrates the advantage of using the multidimensionality of fluorescence data formats for the nondestructive analysis of forensic fiber evidence.

Enhancing Textile Fiber Identification with Detergent Fluorescence.

Discovering common origins of trace evidential textile fibers can be a challenging task when fiber structure or dye composition does not provide exclusive identifying information. Introduction of new chemical species after mass production and distribution of a textile may be exploited to trace its history and identify the origin of its fibers. In this article, fluorescence microscopy is used to examine the alteration in the fluorescence spectral fingerprint of single fibers resulting from exposure to commonly used detergents that contain fluorescent whitening agents. Dyed acrylic, cotton, and nylon fibers were laundered and the spectral contribution of the detergent on single fibers was quantified and shown to reach a maximum after five sequential washes; some detergents showed statistically meaningful differences to fiber spectra after only a single wash. Principal component cluster analysis was used to determine that the spectra of laundered fibers are distinct from the spectra of dyed, unwashed cotton or nylon, but not acrylic, fibers.

Gold nanorods for surface Plasmon resonance detection of mercury (II) in flow injection analysis.

This article investigates the flow injection analysis of mercury (II) ions in tap water samples via surface Plasmon resonance detection. Quantitative analysis of mercury (II) is based on the chemical interaction of metallic mercury with gold nanorods immobilized on a glass substrate. A new flow cell design is presented with the ability to accommodate the detecting substrate in the sample compartment of commercial spectrometers. Two alternatives are here considered for mercury (II) detection, namely stop-flow and continuous flow injection analysis modes. The best limit of detection (2.4 ng mL(-1)) was obtained with the continuous flow injection analysis approach. The accurate determination of mercury (II) ions in samples of unknown composition is demonstrated with a fortified tap water sample.

Single fiber identification with nondestructive excitation-emission spectral cluster analysis.

Identification methods for single textile fibers are in demand for forensic applications, and nondestructive methods with minimal pretreatment have the greatest potential for utility. Excitation-emission luminescence data provide a three-dimensional matrix for comparison of single-fiber dyes, and these data are enhanced by principal component analysis and comparison of fibers using a statistical figure of merit. No dye extraction methods are required to sample the spectra from a single fiber. This approach has been applied to the analysis of single fibers to compare closely matched dye pairs, acid blue (AB) 25 and 41 and direct blue (DB) 1 and 53. In all cases, the accuracy of fiber identification was high and no false positive identifications were made.

Portable mercury sensor for tap water using surface plasmon resonance of immobilized gold nanorods.

The surface plasmon resonance of surface immobilized gold nanorods (Au NRs) was used to quantify mercury in tap water. Glass substrates were chemically functionalized with (3-mercaptopropyl)trimethoxysilane, which chemically bound the nanorods to produce a portable and sensitive mercury sensor. The analytical capabilities of the sensor were measured using micromolar mercury concentrations. Since the analytical response was dependent upon number of nanorods present, the limit of detection was 2.28×10(-19) M mercury per nanorod. The possibility to using glass substrates with immobilized Au NRs is a significant step towards the analysis of mercury in tap water flows at this low concentration level.

Spectroscopic microscopy analysis of the interior pH of individual phospholipid vesicles.

The use of phospholipid vesicles as reaction containers, as vehicles for pharmaceutical drug delivery, and as model systems for cells has prompted the development of new methods for analyzing the structure of vesicles and their contents. The pH of the interior of vesicles is of particular interest when analytes are encapsulated and concentrated with the use of a pH gradient. While the interior pH is generally measured for large populations of vesicles, we report the measurement of the interior pH of individual vesicles as their buffer contents are titrated by transfer of N-methylbutylamine (NMBA) into the vesicle by a pH gradient. The initially acidic buffer within the vesicles is titrated along with a small concentration of an encapsulated pH sensitive dye, 5,6-carboxy SNARF-1-dextran. Images of the indicator fluorescence from each vesicle and its dispersed fluorescence spectrum are recorded using epi-illumination spectral fluorescence microscopy. From a fit of the spectra to the respective acid and base forms of the fluorescent indicator, the interior pH of individual vesicles as a function of the concentration of the NMBA titrant in the external solution could be determined.

Quantitative fluorescence microscopy to determine molecular occupancy of phospholipid vesicles.

Encapsulation of molecules in phospholipid vesicles provides unique opportunities to study chemical reactions in small volumes as well as the behavior of individual proteins, enzymes, and ribozymes in a confined region without requiring a tether to immobilize the molecule to a surface. These experiments generally depend on generating a predictable loading of vesicles with small numbers of target molecules and thus raise a significant measurement challenge, namely, to quantify molecular occupancy of vesicles at the single-molecule level. In this work, we describe an imaging experiment to measure the time-dependent fluorescence from individual dye molecules encapsulated in ~130 nm vesicles that are adhered to a glass surface. For determining a fit of the molecular occupancy data to a Poisson model, it is critical to count empty vesicles in the population since these dominate the sample when the mean occupancy is small, λ ≤ ~1. Counting empty vesicles was accomplished by subsequently labeling all the vesicles with a lipophilic dye and reimaging the sample. By counting both the empty vesicles and those containing fluors, and quantifying the number of fluors present, we demonstrate a self-consistent Poisson distribution of molecular occupancy for well-solvated molecules, as well as anomalies due to aggregation of dye, which can arise even at very low solution concentrations. By observation of many vesicles in parallel in an image, this approach provides quantitative information about the distribution of molecular occupancy in a population of vesicles.

Fluorescence microscopy of the pressure-dependent structure of lipid bilayers suspended across conical nanopores.

Glass and fused-quartz nanopore membranes containing a single conically shaped pore are promising solid supports for lipid bilayer ion-channel recordings due to the high inherent stability of lipid bilayers suspended across the nanopore orifice, as well as the favorable electrical properties of glass and fused quartz. Fluorescence microscopy is used here to investigate the structure of the suspended lipid bilayer as a function of the pressure applied across a fused-quartz nanopore membrane. When a positive pressure is applied across the bilayer, from the nanopore interior relative to the exterior bulk solution, insertion or reconstitution of operative ion channels (e.g., α-hemolysin (α-HL) and gramicidin) in the bilayer is observed; conversely, reversing the direction of the applied pressure results in loss of all channel activity, although the bilayer remains intact. The dependence of the bilayer structure on pressure was explored by imaging the fluorescence intensity from Nile red dye doped into suspended 1,2-diphytanoyl-sn-glycero-3-phosphocholine bilayers, while simultaneously recording the activity of an α-HL channel. The fluorescence images suggest that a positive pressure results in compression of the bilayer leaflets and an increase in the bilayer curvature, making it suitable for ion-channel formation and activity. At negative pressure, the fluorescence images are consistent with separation of the lipid leaflets, resulting in the observed loss of the ion-channel activity. The fluorescence data indicate that the changes in the pressure-induced bilayer structure are reversible, consistent with the ability to repeatedly switch the ion-channel activity on and off by applying positive and negative pressures, respectively.

Structural characterization of individual vesicles using fluorescence microscopy.

Extrusion of hydrated lipid suspensions is frequently employed to produce vesicles of uniform size, and the resulting vesicles are often reported to be unilamellar. We describe a method for the quantitative fluorescence image analysis of individual vesicles to obtain information on the size, lamellarity, and structure of vesicles produced by extrusion. In contrast to methods for bulk analysis, fluorescence microscopy provides information about individual vesicles, rather than averaged results, and heterogeneities in vesicle populations can be characterized. Phosphatidylcholine vesicles containing small fractions of biotin-modified phospholipid and fluorescently labeled 7-nitro-2,1,3-benzoxadiazol-4-yl (NBD) phospholipid were immobilized through biotin-avidin-biotin binding to the surface of a biotin-modified glass coverslip. Biotin was attached to the surface in a mixed cyano-terminated silane monolayer. Initial fluorescence intensities for each immobilized vesicle were recorded, and a solution of membrane impermeable quencher was passed through the flow cell to quench the fluorescence of the outer layer. Fluorescence from individual vesicles was measured by fitting the spots to 2-dimensional Gaussian functions. The integrated signals under the peaks yielded a pre- and postquench intensity. From the fractional loss of intensity, the number and structure of the bilayers in individual vesicles could be quantified; the results showed that extruded vesicles exhibit a distribution of size, lamellarity, and structure.

Identification of single fluorescent labels using spectroscopic microscopy.

Detection of single, fluorescently labeled biomolecules is providing a powerful approach to measuring molecular transport, biomolecular interactions, and localization in biological systems. Because the biological molecules of interest rarely exhibit sufficient intrinsic fluorescence to allow observation of individual molecules, they are usually labeled with fluorescent dye molecules, fluorescent proteins, semiconductor nanocrystals or quantum dots, or fluorescently doped silica or polymer nanospheres to allow their detection. Differences in the photophysical and spectral properties of different labels allow one to identify individual molecules by distinguishing their corresponding labels. A simple approach to measuring fluorescence spectra of individual fluorescent labels can be implemented in a standard wide-field fluorescence microscope, where a grating or prism is incorporated into the path from the microscope to an imaging detector to disperse the emission spectrum. In this work, principal components and cluster analysis are applied to the identification of fluorescence spectra from single fluorescent labels, with statistical tests of the classification results. Spectra are determined from diffracted images of fluorescent nanospheres labels, where emission maxima are separated by less than 20 nm, and of single dye-molecule labels with 30 nm separation. Clusters of points in an eigenvector representation of the spectra correctly classify known labels (both nanospheres and single molecules) and unambiguously identify unknown labels in mixtures.