Rapid determination of surfactant critical micelle concentration in aqueous solutions using fiber-optic refractive index sensing

We describe a simple and rapid method for determining the critical micelle concentration (CMC) of surfactants from fiber-optic measurements of refractive index. The refractive index of an aqueous surfactant solution was monitored as the surfactant concentration was increased using an automated dispensing system. On reaching the surfactant’s CMC value, an abrupt change was observed in the rate of increase of the refractive index with increasing concentration. The measurement system provides rapid semiautomatic data collection and analysis, increasing the precision, sensitivity, and range of applicability of the technique while substantially decreasing the amount of manual intervention required. Measurements of CMC for sodium dodecyl sulfate (8.10 mM), cetyltrimethylammonium chloride (1.58 mM), and Triton X-100 (0.21 mM) were in excellent agreement with values previously reported in the literature. The method is applicable to cationic, anionic, and nonionic surfactants, and it offers a facile, in situ, and sensitive means of detecting micelle formation over a broad range of CMC values larger than 10⁻¹ mM.     

稻麦适宜氮素营养指标动态的模型设计

以水稻和小麦为研究对象,通过解析和提炼稻麦适宜氮素营养指标与品种类型、栽培技术、生态环境之间的定量关系,以基于生理发育时间（PDT）的相对生长度日和相对氮素营养指标为参数,建立了稻麦适宜氮素营养指标动态模型,并利用南京3年的大田试验资料对所建模型的可靠性和适应性进行了验证.结果表明：模型生成的水稻植株氮积累量和氮含量与实际观测值之间的平均根均方差（RMSE）分别为0.1245和0.1316;模拟的小麦植株氮积累量和氮含量与实际观测值之间的平均RMSE分别为0.1166和0.1301,表明模型对稻麦氮素营养指标动态具有较好的指导性,可为不同生态环境、品种类型和生产条件下的稻麦氮素营养诊断与管理调控提供定量化和精确化的指导.     

A character separation index suitable for binary data containing equivocal responses

Character separation indices are useful for determining whichbinary characters best discriminate between two populations.To date these indices are unable to cope sufficiently with binarydata that contain equivocal responses. A character separationindex is described which can be applied to data containing equivocalresponses. Furthermore, for larger numbers of group membersthis index can be used to derive the significance that a givencharacter would have given a particular separation value bychance. The BASIC implementation of a program to calculate characterseparation indices is presented. Received on September 30, 1989; accepted on October 3, 1989     

Latent fluorophores based on a self-immolative linker strategy and suitable for protease sensing

The self-immolative spacer para-aminobenzyl alcohol (PABA) was used as a key component in the design of new protease-sensitive fluorogenic probes whose parent phenol-based fluorophore is released through an enzyme-initiated domino reaction. First, the conjugation of the phenylacetyl moiety to 7-hydroxycoumarin (umbelliferone) and 7-hydroxy-9 H-(9,9-dimethylacridin-2-one) (DAO) by means of the heterobifunctional PABA linker has led to pro-fluorophores 6a and 6d whose enzyme activation by penicillin amidase was demonstrated. The second part of this study was devoted to the extension of this latent fluorophore strategy to the caspase-3 protease, a key mediator of apoptosis in mammalian cells. Fluorogenic caspase-3 substrates 11 and 13 derived from umbelliferone and DAO, respectively, were prepared. It was demonstrated that pro-fluorophore 11 is a sensitive fluorimetric reagent for the detection of this cysteine protease. Furthermore, in vitro assays with fluorogenic probe 13 showed a deleterious effect of biological thiols on fluorescence of the released acridinone fluorophore DAO that, to our knowledge, had not been reported until now.     

Time-resolved refractive index change during the bacteriorhodopsin photocycle

Kinetic refractive index spectroscopy has been applied to the study of the bacteriorhodopsin photocycle. A fully hydrated purple membrane film was examined in the temperature range from 10° to 40°C using 532 nm excitation (doubled Nd YAG laser) and 633 nm (He–Ne laser) testing beam. Multiexponential fitting of the data revealed five processes. Four of them are well known from kinetic optical absorption studies. The fifth process has only recently been observed in optical absorption experiments where it has a relatively small amplitude. In our refractive index experiments it has an amplitude of up to 30% of the full signal amplitude. It is characterized by an Arrhenius temperature dependence with an activation enthalpy of 40±5 kJ/mol and a decay time of about 0.8 ms at 20°C.     

On the distribution of protein refractive index increments

The protein refractive index increment, dn/dc, is an important parameter underlying the concentration determination and the biophysical characterization of proteins and protein complexes in many techniques. In this study, we examine the widely used assumption that most proteins have dn/dc values in a very narrow range, and reappraise the prediction of dn/dc of unmodified proteins based on their amino acid composition. Applying this approach in large scale to the entire set of known and predicted human proteins, we obtain, for the first time, to our knowledge, an estimate of the full distribution of protein dn/dc values. The distribution is close to Gaussian with a mean of 0.190 ml/g (for unmodified proteins at 589 nm) and a standard deviation of 0.003 ml/g. However, small proteins <10 kDa exhibit a larger spread, and almost 3000 proteins have values deviating by more than two standard deviations from the mean. Due to the widespread availability of protein sequences and the potential for outliers, the compositional prediction should be convenient and provide greater accuracy than an average consensus value for all proteins. We discuss how this approach should be particularly valuable for certain protein classes where a high dn/dc is coincidental to structural features, or may be functionally relevant such as in proteins of the eye.     

Imaging cells and tissues with refractive index radiology

Can individual cells, including live cells, be imaged using hard x rays? Common wisdom until now required sophisticated staining techniques for this task. We show instead that individual cells and cell details can be detected in culture solution and tissues with no staining and no other contrast-enhancing preparation. The sample examined can be much thicker than for many other microscopy techniques without sacrificing the capability to resolve cells. The key factor in our approach is the use of a coherent synchrotron source and of contrast mechanisms based on the refractive index. The first successful tests were conducted on a variety of cell systems including skin and internal leaf cells, mouse neurons, rabbit fibroblast cells, and human tumor cells.     

Counter-propagating optical trapping system for size and refractive index measurement of microparticles

We propose and demonstrate a novel approach to measure the size and refractive index of microparticles based on two beam optical trapping, where forward scattered light is detected to give information about the particle. The counter-propagating optical trap measurement (COTM) system exploits the capability of optical traps to measure pico-Newton forces for microparticles' refractive index and size characterization. Different from the current best technique for microparticles' refractive index measurement, refractometry, a bulk technique requiring changing the fluid composition of the sample, our optical trap technique works with any transparent fluid and enables single particle analysis without the use of biological markers. A ray-optics model is used to explore the physical operation of the COTM system, predict system performance and aid system design. Experiments demonstrate the accuracy of refractive index measurement of Deltan=0.013 and size measurement of 3% of diameter with 2% standard deviation. Present performance is instrumentation limited, and a potential improvement by more than two orders of magnitude can be expected in the future. With further development in parallelism and miniaturization, the system offers advantages for cell manipulation and bioanalysis compatible with lab-on-a-chip systems.     

Buffer dependence of refractive index increments of protein solutions

The refractive index increment of a protein solution is a property not only of the protein, but also of the solvent. This is demonstrated theoretically and confirmed experimentally using analytical interferometry. © 1998 John Wiley & Sons, Inc. Biopoly 46: 489–492, 1998     

The density and refractive index of adsorbing protein layers

The structure of the adsorbing layers of native and denatured proteins (fibrinogen, gamma-immunoglobulin, albumin, and lysozyme) was studied on hydrophilic TiO(2) and hydrophobic Teflon-AF surfaces using the quartz crystal microbalance with dissipation and optical waveguide lightmode spectroscopy techniques. The density and the refractive index of the adsorbing protein layers could be determined from the complementary information provided by the two in situ instruments. The observed density and refractive index changes during the protein-adsorption process indicated the presence of conformational changes (e.g., partial unfolding) in general, especially upon contact with the hydrophobic surface. The structure of the formed layers was found to depend on the size of the proteins and on the experimental conditions. On the TiO(2) surface smaller proteins formed a denser layer than larger ones and the layer of unfolded proteins was less dense than that adsorbed from the native conformation. The hydrophobic surface induced denaturation and resulted in the formation of thin compact protein films of albumin and lysozyme. A linear correlation was found between the quartz crystal microbalance measured dissipation factor and the total water content of the layer, suggesting the existence of a dissipative process that is related to the solvent molecules present inside the adsorbed protein layer. Our measurements indicated that water and solvent molecules not only influence the 3D structure of proteins in solution but also play a crucial role in their adsorption onto surfaces.     

Bacterial infection of macrophages induces decrease in refractive index

Infection of cells by pathogens leads to both biochemical and structural modifications of the host cell. To study the structural modifications in a label‐free manner, we use digital holographic microscopy, DHM, to obtain the integral refractive index distribution of cells. Primary murine bone marrow derived macrophages (BMDM) infected with Salmonella enterica serovar Typhimurium, undergo highly significant reduction in refractive index, RI, compared to uninfected cells. Infected BMDM cells from genetically modified mice lacking an inflammatory protein that causes cell death, caspase 1, also exhibit similar decrease in RI. These data suggest that any reduction in RI of Salmonella ‐infected BMDMs is pathogen induced and independent of caspase 1‐induced inflammation or cell death. This finding suggests DHM may be useful for general real time monitoring of host cell interactions with infectious pathogens. (© 2013 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Newly proposed node segregation index is not suitable for analyzing unimode food webs

Strona and Veech (2015) developed a new node segregation (or node overlap) index for analysing ecological network structure based on the Veech (2013)’s species co-occurrence probabilistic model, which was originally applied to species-site matrices. However, a species-site matrix for analysing species co-occurrence patterns and an adjacency matrix for characterising unimode network structures are different. Directly applying Veech’s species co-occurrence probabilistic model to adjacency matrices in unimode food webs is problematic. The central critical problem is related to the number of free species (or nodes/vertices) in the unimode network that can be the neighbors (have links to connect) of a focused species or a focused pair of species. This number is typically less than the total number of species in real food webs. That is, species are not independent from each other in unimode networks. For a simple undirected unimode network without self-loops, based on the criterion whether there is a link between two species for a focused pair, a correct probabilistic model is developed to accurately compute the probability of observing some shared neighbors for a pair of species in the network. Numerical simulation show that the node overlap calculated using the correct and original probabilistic models present remarkable differences, especially when a unimode network is nested and contains generalists. In summary, The correct probabilistic model should be used if ones want Strona and Veech (2015)’s node segregation index to work for unimode food webs.     

Dry film refractive index as an important parameter for ultra-low fouling surface coatings

Here we demonstrate that the film refractive index (RI) can be an even more important parameter than film thickness for identifying nonfouling polymer films to undiluted human blood plasma and serum. The film thickness and RI are two parameters obtained from ellipsometry. Previously, film thickness has been correlated to ultra-low fouling properties. Practically, the film RI can be used to characterize polymer density but is often overlooked. By varying the water content in the surface-initiated atom transfer radical polymerization of zwitterionic carboxybetaine, a minimum of ～1.5 RI units was necessary to achieve <5 ng/cm(2) of adsorption from undiluted human serum. A model of the film structure versus water content was also developed. These results point to an important parameter and simple approach for identifying surface coatings suitable for real-world applications involving complex media. Therefore, ultra-low fouling using a thin film is possible if it is densely packed.     

Microcolumn exclusion HPLC of globular proteins with refractive index detection

A method of determination of molecular masses of globular proteins based on microcolumn size-exclusion HPLC on modified silica sorbent (TSK-GEL 3000 SW) with refractometric detection has been developed. Molecular masses in the range 10 to 200 kD were determined with the accuracy of +/- 3%.     

Single plasmonic nanoparticles for biosensing

Along with remarkable progress of nanoplasmonics over the past 10 years, single plasmonic nanoparticle sensors have introduced a completely new dimension to the sensing scale, considering that nanoparticles are comparable in size to biomolecules such as nucleic acids or antibodies. Single particle sensing methods have recently shown the possibility of detecting the adsorption of single biomolecules, and have already provided information about conformational changes of single molecules. For practical application, arrays of such compact sensor units are expected to realize massive multiplexing and high throughput in diagnostics and drug discovery in the near future. In this review, recent achievements and perspectives of this emerging biosensing technique are discussed.     

Digital holographic microtomography for high‐resolution refractive index mapping of live cells

Quantification of three‐dimensional (3D) refractive index (RI) with sub‐cellular resolution is achieved by digital holographic microtomography (DHμT) using quantitative phase images measured at multiple illumination angles. The DHμT system achieves sensitive and fast phase measurements based on iterative phase extraction algorithm and asynchronous phase shifting interferometry without any phase monitoring or active control mechanism. A reconstruction algorithm, optical diffraction tomography with projection on convex sets and total variation minimization, is implemented to substantially reduce the number of angular scattered fields needed for reconstruction without sacrificing the accuracy and quality of the reconstructed 3D RI distribution. Tomogram of a living CA9‐22 cell is presented to demonstrate the performance of the method. Further, a statistical analysis of the average RI of the nucleoli, the nucleus excluding the nucleoli and the cytoplasm of twenty CA9‐22 cells is performed. (© 2013 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Determination of refractive index increment ratios for protein-nucleic acid complexes by surface plasmon resonance

Three nucleic acid-protein complexes of 1:1 stoichiometry were analyzed by surface plasmon resonance on a Biacore biosensor to test whether or not proteins and nucleic acids yielded similar refractive index increments on binding. The expected maximum response in resonance units, (RU(exp))(max), and the observed one, (RU(obs))(max), on saturation of immobilized targets by interacting partners were compared to determine the ratio of (deltan/deltaC)(protein) to (deltan/deltaC)(nucleic acid), where n is the refractive index at the surface and C is the concentration of one partner. Our results suggest that proteins and nucleic acids behave similarly and that the discrepancy between the expected and observed maximum responses for such complexes reflects inaccurate evaluation of the binding responses. Therefore, no correction of the instrument response is required for protein and nucleic acid interaction studies on a Biacore biosensor.