Nano-plasmonic biosensors : a review

In this paper, first the fundamental concept of nano-optical biosensing is studied. Since Raman scattered signal is very weak to be recognized by current measuring equipments, the signal must be amplified. SPR and LSPR are utilized to enhance the incident field of the target molecules, to improve the sensitivity of the sensor. The paper focuses on the use of LSPR to enhance Raman signal in SERS technology. Different structures of nano-particles in LSPR to improve enhancement of the SERS signal are reviewed and compared.

Cellulose nanofibre textured SERS substrate

Poor reproducibility limits the wide uptake of low-cost surface enhanced Raman spectroscopy (SERS) substrates. This study reports a relatively low-cost and reproducible cellulose nanofibre (CNF) textured SERS substrate. Utilizing a layer of CNFs deposited onto glass slides, nanoscale roughness was achieved, which facilitated effective aggregation of gold nanoparticles (AuNPs) to form a novel CNF textured SERS substrate. This substrate meets the critical roughness requirements to control the distribution of AuNPs to provide 'hot spots' for SERS detection, offering significant signal enhancement. The reproducibility and accuracy of low-cost cellulosic SERS substrates were significantly improved on a model SERS molecule of 4-aminothiophenol.

14N overtone magic angle spinning NMR

Overtone NMR spectroscopy has the potential to provide high-resolution ¹⁴N solid-state NMR spectra. The technique was first developed during the 1980s but has only recently been successfully combined with magic angle spinning (MAS), providing improved sensitivity and resolution as well as enabling more advanced approaches such as indirect detection and signal enhancement methods. This report provides a brief background to ¹⁴N overtone NMR, describing the ways in which it differs from conventional NMR and the challenges that arise as a result. The effects of MAS on the overtone spectrum are then presented and illustrated with numerous experimental and simulated examples. Finally, several recent developments enabled by MAS are described and some potential future directions are suggested.

Ultra-wideline 14N solid-state NMR as a method for differentiating polymorphs: glycine as a case study

Nitrogen-14 solid-state NMR (SSNMR) is utilized to differentiate three polymorphic forms and a hydrochloride (HCl) salt of the amino acid glycine. Frequency-swept Wideband, Uniform Rate, Smooth Truncated (WURST) pulses were used in conjunction with Carr-Purcell Meiboom-Gill refocusing, in the form of the WURST-CPMG pulse sequence, for all spectral acquisitions. The ¹⁴N quadrupolar interaction is shown to be very sensitive to variations in the local electric field gradients (EFGs) about the ¹⁴N nucleus; hence, differentiation of the samples is accomplished through determination of the quadrupolar parameters CQ and ηQ, which are obtained from analytical simulations of the ¹⁴N SSNMR powder patterns of stationary samples (i.e., static NMR spectra). Additionally, differentiation of the polymorphs is also possible via the measurement of ¹⁴N effective transverse relaxation time constants, T^eff2(¹⁴N). Plane-wave density functional theory (DFT) calculations, which exploit the periodicity of crystal lattices, are utilized to confirm the experimentally determined quadrupolar parameters as well as to determine the orientation of the ¹⁴N EFG tensors in the molecular frames. Several signal-enhancement techniques are also discussed to help improve the sensitivity of the ¹⁴N SSNMR acquisition method, including the use of selective deuteration, the application of the BRoadband Adiabatic INversion Cross-Polarization (BRAIN-CP) technique, and the use of variable-temperature (VT) experiments. Finally, we examine several cases where ¹⁴N VT experiments employing Carr-Purcell-Meiboom-Gill (CPMG) refocusing are used to approximate the rotational energy barriers for RNH3⁺ groups.

Application of power functions to chromatographic data for the enhancement of signal to noise ratios and separation resolution

Chromatographic detection responses are recorded digitally. A peak is represented ideally by a Guassian distribution. Raising a Guassian distribution to the power ‘n’ increases the height of the peak to that power, but decreases the standard deviation by √n. Hence there is an increasing disparity in detection responses as the signal moves from low level noise, with a corresponding decrease in peak width. This increases the S/N ratio and increases peak to peak resolution. The ramifications of these factors are that poor resolution in complex chromatographic data can be improved, and low signal responses embedded at near noise levels can be enhanced. The application of this data treatment process is potentially very useful in 2D-HPLC where sample dilution occurs between dimension, reducing signal response, and in the application of post-reaction detection methods, where band broadening is increased by virtue of reaction coils. In this work power functions applied to chromatographic data are discussed in the context of (a) complex separation problems, (b) 2D-HPLC separations, and (c) post-column reaction detectors.

Distributed audio network for speech enhancement in challenging noise backgrounds

This paper presents a new approach to enhance speech based on a distributed microphone network. Each microphone is used to simultaneously classify the input into either one of the noise types or as speech. For enhancing the speech signal a modified spectral subtraction approach is used that utilise the sound information of the entire network to update the noise model even during speech. This improves the reduction of the ambient noise, especially for non-stationary noise types such as street or beach noise. Experiments demonstrate the effectiveness of the proposed system.

Robustness enhancement of quantization based audio watermarking method using adaptive safe-band

This paper presents a novel adaptive safe-band for quantization based audio watermarking methods, aiming to improve robustness. Considerable number of audio watermarking methods have been developed using quantization based techniques. These techniques are generally vulnerable to signal processing attacks. For these conventional quantization based techniques, robustness can be marginally improved by choosing larger step sizes at the cost of significant perceptual quality degradation. We first introduce fixed size safe-band between two quantization steps to improve robustness. This safe-band will act as a buffer to withstand certain types of attacks. Then we further improve the robustness by adaptively changing the size of the safe-band based on the audio signal feature used for watermarking. Compared with conventional quantization based method and the fixed size safe-band based method, the proposed adaptive safe-band based quantization method is more robust to attacks. The effectiveness of the proposed technique is demonstrated by simulation results. © 2014 IEEE.

Ethanol as an alternative to formaldehyde for the enhancement of manganese(IV) chemiluminescence detection.

Previous applications of manganese(IV) as a chemiluminescence reagent have required the use of formaldehyde to enhance the emission intensity to analytically useful levels. However, this known human carcinogen (by inhalation) is not ideal for routine application. A wide range of alternative enhancers have been examined but to date none have been found to provide the dramatic increase in chemiluminescence intensities obtained using formaldehyde. Herein, we demonstrate that ethanol offers a simple, safe and inexpensive alternative to the use of formaldehyde for manganese(IV) chemiluminescence detection, without compromising signal intensity or sensitivity. For example, chemiluminescence signals for opiate alkaloids using 50-100% ethanol were 0.8-1.6-fold those using 2M formaldehyde. This innocuous alternative enhancer is shown to be a particularly effective for the direct detection of thiols and disulfides by manganese(IV) chemiluminescence, which we have applied to a simple HPLC procedure to determine a series of biomarkers of oxidative stress.