External Probe Research Articles

Redox probe-free electrochemical immunosensor utilizing electropolymerized melamine on reduced graphene oxide for the point-of-care diagnosis of gastric cancer

Pepsinogen I (PG I) is a biomarker that plays a crucial role in the diagnosis of gastric cancer. The development of biosensor to monitor PG I overexpression in serum is crucial for early gastric cancer diagnosis, offering a less invasive alternative to the costly and uncomfortable gastroscopy procedure. This study presents a cost-efficient, scalable and disposable label-free biosensing strategy for detecting PG I, utilizing a redox-active polymelamine electrodeposited on a reduced graphene oxide screen-printed electrode surface (PM-rGO/SPE). Under optimized conditions, the conducting polymer PM was deposited on the rGO/SPE via a potentiodynamic method. The structural and morphological features of PM-rGO/SPE were analyzed with the assistance of Raman and Scanning Electron Microscopy analysis. Specific monoclonal anti-PG I antibodies were immobilized on the in situ prepared redox-active layer via EDC/NHS chemistry to develop a novel electrochemical immunosensor. Unlike the traditional immunosensing strategies which utilizes external redox probe solution for measuring the signal, the developed configuration allowed for redox-probe free monitoring of current changes of the redox active PM resulting from the formation of the immunocomplex on the electrode surface. Utilizing this method, PG I detection spanned a clinically relevant concentration range of 0.01–200 ng/mL, with a low limit of detection at 9.1 pg/mL. The electrochemical immunosensor demonstrated specificity against other biomarkers such as PDCD1, ErBb2, and CD28 with negligible interference. The immunosensor exhibited excellent recovery capabilities for PG I detection in serum samples. These findings underscore the potential of the PM-rGO/SPE immunosensor as a point-of-care diagnostic tool for gastric cancer.

Evaluation of Multiwalled Carbon Nanotube-Silver Nanocomposite: A Fluorescence Spectroscopic Approach.

Silver nanoparticles (AgNPs) have been extensively utilized in various fields due to their excellent physical and chemical properties. The green synthetic routes for the synthesis of AgNPs have been adopted to eliminate the impact of the chemicals over the environment. These methods are more cost-effective, eco-friendly and simple. The association of AgNPs on to the surface of functionalized multi-walled carbon nanotubes (f-MWCNTs) produces nanocomposites with unique properties. This can be achieved by different methods such as covalent functionalization, non-covalent functionalization and so on.In the current study, AgNPs are synthesized by biochemical method and they are anchored on to the surface of functionalized MWCNTs is carried out via a non-covalent interaction. The fluorescence studies are done on the nanocomposites in the presence of a suitable external probe i.e., MB. Here fluorescence and UV-Visible spectroscopy are used.

Isothermal chemical denaturation assay for monitoring protein stability and inhibitor interactions

Thermal shift assay (TSA) with altered temperature has been the most widely used method for monitoring protein stability for drug research. However, there is a pressing need for isothermal techniques as alternatives. This urgent demand arises from the limitations of TSA, which can sometimes provide misleading ranking of protein stability and fail to accurately reflect protein stability under physiological conditions. Although differential scanning fluorimetry has significantly improved throughput in comparison to differential scanning calorimetry and differential static light scattering throughput, all these methods exhibit moderate sensitivity. In contrast, current isothermal chemical denaturation (ICD) techniques may not offer the same throughput capabilities as TSA, but it provides more precise information about protein stability and interactions. Unfortunately, ICD also suffers from limited sensitivity, typically in micromolar range. We have developed a novel method to overcome these challenges, namely throughput and sensitivity. The novel Förster Resonance Energy Transfer (FRET)-Probe as an external probe is highly applicable to isothermal protein stability monitoring but also to conventional TSA. We have investigated ICD for multiple proteins with focus on KRASG12C with covalent inhibitors and three chemical denaturants performed at nanomolar protein concentration. Data showed corresponding inhibitor-induced stabilization of KRASG12C to those reported by nucleotide exchange assay.

Comparison of Biomechanical Outcome Measures From Characteristically Different Blast Simulators and the Influence of Exposure Location.

Simulation of blast exposure in the laboratory has been inconsistent across laboratories. This is primarily because of adoption of the shock wave-generation techniques that are used in aerodynamic tests as opposed to application of blast exposures that are relevant to combat and training environments of a Warfighter. Because of the differences in blast signatures, characteristically different pathological consequences are observed among the preclinical studies. This is also further confounded by the varied exposure positioning of the animal subject (e.g., inside the blast simulator vs. at the mouth of the simulator). In this study, we compare biomechanical responses to blast exposures created in an advanced blast simulator (ABS) that generates "free-field"-like blast exposure with those produced by a traditionally applied cylindrical blast simulator (CBS) that generates a characteristically different blast signature. In addition, we have tested soft-armor vest protective responses with the ABS and CBS to compare the biomechanical responses to this form of personal protective equipment in each setting in a rodent model. Anesthetized male Sprague-Dawley rats (n = 6) were surgically probed with an intrathoracic pressure (ITP) transducer and an intracranial pressure (ICP) transducer directed into the lateral cerebral ventricle (Millar, Inc.). An ABS for short-duration blast or a CBS for long-duration blast was used to expose animals to an incident blast overpressure of 14.14 psi (impulse: 30.27 psi*msec) or 16.3 psi (impulse: 71.9 psi*msec) using a custom-made holder (n = 3-4/group). An external pitot probe located near the animal was used to measure the total pressure (tip) and static gauge (side-on) pressure. Data were recorded using a TMX-18 data acquisition system (AstroNova Inc.). MATLAB was used to analyze the recordings to identify the peak amplitudes and rise times of the pressure traces. Peak ICP, peak ITP, and their impulses were normalized by expressing them relative to the associated peak static pressure. Normalized impulse (ABS: 1.02 ± 0.03 [vest] vs. 1.02 ± 0.01 [no-vest]; CBS: 1.21 ± 0.07 [vest] vs. 1.01 ± 0.01 [no-vest]) and peak pressure for ICP (ABS: 1.03 ± 0.03 [vest] vs. 0.99 ± 0.04 [no-vest]; CBS: 1.06 ± 0.08 [vest] vs. 1.13 ± 0.06 [no-vest]) remained unaltered when comparisons are made between vest and no-vest groups, and the normalized peak ITP (ABS: 1.50 ± 0.02 [vest] vs. 1.24 ± 0.16 [no-vest]; CBS: 1.71 ± 0.20 [vest] vs. 1.37 ± 0.06 [no-vest]) showed a trend of an increase in the vest group compared to the no-vest group. However, impulses in short-duration ABS (0.94 ± 0.06 [vest] vs. 0.92 ± 0.13 [no-vest]) blast remained unaltered, whereas a significant increase of ITP impulse (1.21 ± 0.07 [vest] vs. 1.17 ± 0.01 [no-vest]) in CBS was observed. The differences in the biomechanical response between ABS and CBS could be potentially attributed to the higher dynamic pressures that are imparted from long-duration CBS blasts, which could lead to chest compression and rapid acceleration/deceleration. In addition, ICP and ITP responses occur independently of each other, with no evidence of thoracic surge.

Qocttools: A program for quantum optimal control calculations

The qocttools code performs optimization calculations on quantum systems using optimal control theory. The problem that it solves is the following: given a system governed by a Hamiltonian whose precise form can be tuned through the variation of some control parameters, and given a user-defined merit function of the system trajectory, what are the values of those parameters that lead to the time evolution that maximizes the merit function? The code permits to work on generic systems, and uses either Schrödinger's or Lindblad's equation in order to deal with closed or open systems, respectively. It may also use the tools of Floquet formalism when dealing with periodic perturbations. It is written in Python, and the user can interface with it by preparing driver Python scripts that define the model, and load the appropriate qocttools modules. It is open and free software, and also relies on open and free widely used libraries and packages, such as QuTiP (to handle the quantum model definition and manipulation), and NLopt (to perform the optimizations). Program summaryProgram Title:qocttoolsCPC Library link to program files:https://doi.org/10.17632/49z3vydmwk.1Developer's repository link:https://gitlab.com/acbarrigon/qocttoolsCode Ocean capsule:https://codeocean.com/capsule/7560215Licensing provisions: GPLv3Programming language: PythonNature of problem: When a quantum system can be driven by external perturbations, one may be interested in finding the form of those perturbations that lead to a certain behavior. For example, driving the system from its ground to a given excited state, maximizing the value of some observable, etc. This can be interpreted as an inverse spectroscopy: the goal is not to predict the reaction of a piece of matter to an external probe or perturbation (e.g. an electromagnetic field), but instead to predict the precise shape of the perturbation that leads to a given predefined reaction. This problem may be posed for closed systems evolving coherently, or in the context of open quantum systems, in the presence of an environment. Also, when considering periodic perturbations, the problem may be formulated in the language of quantum Floquet theory.Solution method: This code implements the fundamental equations of quantum optimal control theory [1], the mathematical framework that addresses the problem described above. It (1) handles both closed or open quantum systems; (2) allows the user to specify any form for the target function (the one that is to be optimized, and encodes the desired system behavior), as it may be specified through any user-defined Python function; (3) allows the user to specify general parameterized forms for the control functions, and to set bounds and constraints on those parameters; (4) implements formulas, based on the adjoint method in most cases, for the computation of the gradient of the target functions with respect to the control parameters, as these gradients are the key tools for an efficient optimization, and (5) interfaces to a generic optimization library (NLopt), that permits to perform the optimization with numerous different algorithms, allowing for the use of bounds and linear or nonlinear constraints.

Detection and identification of amino acids and proteins using their intrinsic fluorescence in the visible light spectrum

The detection and identification of biomolecules are essential in the modern era of medical diagnostics. Several approaches have been established, but they have significant limitations such as laborious and time-consuming sample preparation, analysis, and the need to use external probes which provide adequate but not desired levels of accuracy and sensitivity. Herein, we have explored successfully a non-invasive technique to detect and identifybiomolecules such as amino acids and proteins by utilizing their intrinsic fluorescence. The developed confocal microscopy method revealed high and photostable emission counts of these biomolecules including amino acids (tryptophan, phenylalanine, tyrosine, proline, histidine, cysteine, aspartic acid, asparagine, isoleucine, lysine, glutamic acid, arginine) and proteins (HSA, BSA) when they are excited with a green laser. The fluorescence lifetime of the samples enabled the identification and distinction of known and blind samples of biomolecules from each other. The developed optical technique is straightforward, non-destructive and does not require laborious labeling to identify specific proteins, and may serve as the basis for the development of a device that would quickly and accurately identify proteins at an amino acid level. Therefore, this approach would open an avenue for precise detection in imaging and at the same time increases our understanding of chemical dynamics at the molecular level.

Double Quantum Ring under an Intense Nonresonant Laser Field: Zeeman and Spin-Orbit Interaction Effects

We theoretically investigate the properties of an electron energy spectrum in a double GaAs-Al0.3Ga0.7As quantum ring by using the effective mass and adiabatic approximations, together with a realistic description of the confining potential profile, which is assumed to be deformed due to the application of an intense nonresonant laser field. The effects of the applied magnetic field and spin-orbit interaction are included. We discuss the features of the lowest confined energy levels under a variation of magnetic field strengths and intense laser parameters. The influence of this external probe on the linear optical absorption response associated with interlevel transitions is analyzed by considering both the presence and absence of spin-orbit effects.

Nanopore‐Based Metal Ion Detection and Metal Ion‐Mediated Nanopore Sensing†

Comprehensive SummaryWith the continuous development of nanotechnology, single‐molecule nanopore detection has become a popular research topic. In this review, we summarize the application of biological nanopores for metal ions detection as well as overview the function of metal ions in the ion‐mediated nanopore detection of different analytes in recent decades. According to the previous reports, biological nanopores utilize two strategies to detect metal ions. First, the specific binding sites are engineered in the nanopore to slow down the translocation rate of metal ions, resulting in the diverse specific current blockage signals. Secondly, the external molecule probes are added in the detection system to interact with metal ions, leading to the characteristic changes in the signals. At the same time, the external addition of metal ions into the nanopore detection systems enhances the sensitivity and selectivity through the changes of pore charges, the coordination with analytes or indirect detection. This review provides a summary on the role of metal ions in the application of nanopore detection technology.

A self-powered, high-precision and minimum-channel touch panel coupling triboelectrification and uniform resistance film

Touch panels utilizing surface-capacitive mechanism are ubiquitous in our daily life. However, the need for an additional probe signal generator and receiver module to detect the resistance distribution and variation caused by finger touching adds complexity and energy consumption to the system. Herein, we propose a self-powered and high-precision tribo-touch-position sensor (TPS) that can operate without an external probe signal generator and receiver module. By detecting the contact electrification signal and extracting the signal ratio between the edges of a uniform resistance film, TPS exhibits precise touch position detection with minimal channels. The mechanism and feasibility of this sensor is systematically analyzed from theory and experiment. Moreover, the resistance range and parameters that affect the sensing performance are discussed in depth. Compared to traditional capacitive touch panels, TPS can function in high moisture conditions and is not limited to grounded objects. Finally, the designed TPS achieves spatial resolutions of 0.001 and 1 mm in touching space and size, and a prototype 2D touch panel is fabricated experimentally. The signals ratio of 2D touch panel changes more obviously in the middle than on the sides while the fingers touch various positions. This work provides an alternative platform for simple and diverse contact localization using triboelectric effect.

An Impedance-Based Immunosensor for the Detection of Ovalbumin in White Wine.

Food allergies are an exceptional response of the immune system caused by the ingestion of specific foods. The main foods responsible for allergic reactions are milk, eggs, seafood, soy, peanuts, tree nuts, wheat, and their derived products. Chicken egg ovalbumin (OVA), a common allergen molecule, is often used for the clarification process of wine. Traces of OVA remain in the wine during the fining process, and they can cause significant allergic reactions in sensitive consumers. Consequently, the European Food Safety Authority (EFSA) and the American Food and Drug Administration (FDA) have shown the risks for allergic people to assume allergenic foods and food ingredients, including eggs. Commonly, OVA detection requires sophisticated and time-consuming analytical techniques. Intending to develop a faster assay, we designed a proof-of-concept non-Faradaic impedimetric immunosensor for monitoring the presence of OVA in wine. Polyclonal antibodies anti-OVA were covalently immobilised onto an 11-mercaptoundecanoic-acid (11-MUA)-modified gold surface. The developed immunosensor was able to detect OVA in diluted white wine without the need for an external probe or any pre-treatment step with a sensitivity of 0.20 µg/mL, complying with the limit established by the resolution OIV/COMEX 502-2012 for the quantification of allergens in wine.

Millimetric Inclusion Detection Through a Contactless Microwave Spiral Sensor for Biomedical Applications

This article introduces the design and fabrication of a microwave contactless sensor used to detect the presence of millimetric inclusions in a biological medium for biomedical applications. The hardware system comprises a self-resonant planar spiral resonator (SR) (sensing element) inductively coupled to an external concentric single-loop probe (reading probe), working at 648 MHz. The microwave sensor configuration relies on the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula> -factor maximization of the spiral coil, that is, the sensing element, through an optimization process, to obtain a stronger sensitivity and, thus, a millimeter resolution for the inclusions’ detection. The detection is achieved by recording both the amplitude variation and the frequency shift of the input impedance of the reading probe. To validate the proposed solution, full-wave simulations have been performed to design and preliminary evaluate the radiating system performance in detecting millimetric biological inclusions. As an applicative example, we focus on air bubbles detection in hemodialysis procedures; in particular, we carried out the experimental verification by employing an agar phantom to replicate the dielectric characteristics of the blood tissue and polylactic acid (PLA) samples of various sizes to represent the air inclusions. We proved that the theoretical assumptions were in excellent agreement with both the numerical and experimental results, encouraging further analysis of the potential use of such sensors in biomedical applications. Indeed, the radiating device can be very helpful for all operations where it is necessary to detect the presence of undesired and dangerous contaminants in a contactless way, making the procedure safer for patients.

Equilibrium current distributions and W∞ gauge theory in quantum Hall systems of conventional electrons and Dirac electrons

In equilibrium planer systems of Hall electrons, such as GaAs heterostructures and graphene, support two species of current counterflowing along the system edges, as observed recently in experiment using a nanoscale magnetometer. We examine distinct origins and distinctive features of these equilibrium currents, with the Coulombic many-body effects taken into account, and derive their real-space distributions. Our basic tool of analysis is a reformulation of quantum Hall systems as a ${W}_{\ensuremath{\infty}}$ gauge theory, which allows one to diagonalize the total Hamiltonian according to the resolutions of external probes. These equilibrium currents are deeply tied to the orbital magnetization in quantum Hall systems. Special attention is drawn to the case of graphene, especially the neutral $(\ensuremath{\nu}=0)$ ground state and its intrinsic diamagnetic response that combines with the equilibrium currents to govern the orbital magnetization and its oscillations with filling.

Detailed study of quark-hadron duality in spin structure functions of the proton and neutron

Background: The response of hadrons, the bound states of the strong force (QCD), to external probes can be described in two different, complementary frameworks: as direct interactions with their fundamental constituents, quarks and gluons, or alternatively as elastic or inelastic coherent scattering that leaves the hadrons in their ground state or in one of their excited (resonance) states. The former picture emerges most clearly in hard processes with high momentum transfer, where the hadron response can be described by the perturbative expansion of QCD, while at lower energy and momentum transfers, the resonant excitations of the hadrons dominate the cross section. The overlap region between these two pictures, where both yield similar predictions, is referred to as quark-hadron duality and has been extensively studied in reactions involving unpolarized hadrons. Some limited information on this phenomenon also exists for polarized protons, deuterons, and $^{3}\mathrm{He}$ nuclei, but not yet for neutrons.Purpose: In this paper, we present comprehensive and detailed results on the correspondence between the extrapolated deep inelastic structure function ${g}_{1}$ of both the proton and the neutron with the same quantity measured in the nucleon resonance region. Thanks to the fine binning and high precision of our data, and using a well-controlled perturbative QCD (pQCD) fit for the partonic prediction, we can make quantitative statements about the kinematic range of applicability of both local duality and global duality.Method: We use the most updated QCD global analysis results at high $x$ from the Jefferson Lab Angular Momentum Collaboration to extrapolate the spin structure function ${g}_{1}$ into the nucleon resonance region and then integrate over various intervals in the scaling variable $x$. We compare the results with the large data set collected in the quark-hadron transition region by the CLAS Collaboration, including, for the first time, deconvoluted neutron data, integrated over the same intervals. We present this comparison as a function of the momentum transfer ${Q}^{2}$.Results: We find that, depending on the integration interval and the minimum momentum transfer chosen, a clear transition to quark-hadron duality can be observed in both nucleon species. Furthermore, we show, for the first time, the approach to scaling behavior for ${g}_{1}$ measured in the resonance region at sufficiently high momentum transfer.Conclusions: Our results can be used to quantify the deviations from the applicability of pQCD for data taken at moderate energies and can help with extraction of quark distribution functions from such data.

Dark Energy Survey Year 3 results: Constraints on extensions to ΛCDM with weak lensing and galaxy clustering

We constrain six possible extensions to the Λ cold dark matter (CDM) model using measurements from the Dark Energy Survey’s first three years of observations, alone and in combination with external cosmological probes. The DES data are the two-point correlation functions of weak gravitational lensing, galaxy clustering, and their cross-correlation. We use simulated data vectors and blind analyses of real data to validate the robustness of our results to astrophysical and modeling systematic errors. In many cases, constraining power is limited by the absence of theoretical predictions beyond the linear regime that are reliable at our required precision. The ΛCDM extensions are dark energy with a time-dependent equation of state, nonzero spatial curvature, additional relativistic degrees of freedom, sterile neutrinos with eV-scale mass, modifications of gravitational physics, and a binned σ8(z) model which serves as a phenomenological probe of structure growth. For the time-varying dark energy equation of state evaluated at the pivot redshift we find (wp,wa)=(−0.99−0.17+0.28,−0.9±1.2) at 68% confidence with zp=0.24 from the DES measurements alone, and (wp,wa)=(−1.03−0.03+0.04,−0.4−0.3+0.4) with zp=0.21 for the combination of all data considered. Curvature constraints of Ωk=0.0009±0.0017 and effective relativistic species Neff=3.10−0.16+0.15 are dominated by external data, though adding DES information to external low-redshift probes tightens the Ωk constraints that can be made without cosmic microwave background observables by 20%. For massive sterile neutrinos, DES combined with external data improves the upper bound on the mass meff by a factor of 3 compared to previous analyses, giving 95% limits of (ΔNeff,meff)≤(0.28,0.20 eV) when using priors matching a comparable Planck analysis. For modified gravity, we constrain changes to the lensing and Poisson equations controlled by functions Σ(k,z)=Σ0ΩΛ(z)/ΩΛ,0 and μ(k,z)=μ0ΩΛ(z)/ΩΛ,0, respectively, to Σ0=0.6−0.5+0.4 from DES alone and (Σ0,μ0)=(0.04±0.05,0.08−0.19+0.21) for the combination of all data, both at 68% confidence. Overall, we find no significant evidence for physics beyond ΛCDM.18 MoreReceived 18 July 2022Accepted 28 November 2022DOI:https://doi.org/10.1103/PhysRevD.107.083504© 2023 American Physical SocietyPhysics Subject Headings (PhySH)Research AreasCosmological constantCosmological parametersCosmologyDark energyDark matterPhysical SystemsGalaxiesLarge scale structure of the UniverseTechniquesTelescopesGravitation, Cosmology & Astrophysics

Electrically controlled entanglement of cavity photons with electromagnons

Electromagnonics is an emerging field with a focus on entangling magnonic excitations to the microwave cavity photon modes with the prospect for use in quantum information science. Here, we discuss a class of Hamiltonians that embody a substantial steady-state photon-magnon entanglement enabled by a chiral coupling of the magnonic system to the cavity electric field. It is demonstrated how the entanglement can be controlled via external parameters. As a realization, we study a layered system that hosts an interfacial Dzyaloshinskii-Moriya interaction whose strength varies linearly with the cavity electric field rendering the low-energy spin excitations susceptible to an electric field and resulting in nonlinear magnon-photon dynamics. Accounting for interactions with the environment, we derive from the stochastic quantum Langevin equations explicit expressions evidencing the existence of a finite, steady-state entanglement and detailing its dependencies on external probes. The results point to particular types of electromagnonic systems that are potentially useful for quantum information applications.

Enzyme-Mimics for Sensitive and Selective Steroid Metabolite Detection.

We present an enzyme-like functional polymer that recognizes nonelectroactive targets and catalyzes their redox reactions for simple, selective steroid metabolite detection. Measuring steroid metabolites, such as cortisol, has been widely adopted to diagnose stress and chronic diseases. Conventional detection method based on competitive immunoassay requires time-consuming labeling processes for signal transduction and unstable biological receptors for biorecognition yet with limited selectivity. Inspired by natural enzymes' target specificity and catalytic nature, we report an enzyme-mimic using electrocatalytic molecularly imprinted polymers (EC-MIP) to achieve label-free, external redox reagent-free, sensitive, and selective electrochemical detection of cortisol. The EC-MIP sensor contains molecularly imprinted cavities for specific cortisol binding and embedded copper phthalocyanine tetrasulfonate (CuPcTS) for electrocatalytic reduction of the ketones on the captured cortisol into alcohols. The direct sensing approach resolves the intrinsic limitations of conventional MIP-based sensors, most notably the use of external redox probes and weak sensing signals. The sensor exhibited a detection limit of 181 pM with significantly enhanced selectivity using a differential sensing mechanism. The new enzyme-like sensor can be modified to detect other targets, offering a simple, robust approach to future health monitoring technologies.

Tunable Transparency and Group Delay in Cavity Optomechanical Systems with Degenerate Fermi Gas

We theoretically investigate the optical response and the propagation of an external probe field in a Fabry–Perot cavity, which consists of a mechanical mode of trapped, ultracold, fermionic atoms inside and simultaneously driven by an optical laser field. We investigate the electromagnetically-induced transparency due to coupling of the optical cavity field with the collective density excitations of the ultracold fermionic atoms via radiation pressure force. Moreover, we discuss the variations in the phase and group delay of the transmitted probe field with respect to effective cavity detuning as well as pumping power. It is observed that the transmitted field is lagging in this fermionic cavity optomechanical system. Our study shall provide a method to control the propagation as well as the speed of the transmitted probe field in this kind of fermionic, ultracold, atom-based, optomechanical cavity system, which might have potential applications in optical communications, signal processing and quantum information processing.

Signal-on electrochemical aptasensor based on RGO-AuNPs and exonuclease-III with assistance of external probe for Hg2+ determination in shellfish

In this work, a signal-on electrochemical aptasensor, based on RGO-AuNPs and exonuclease-III (Exo-III), is introduced for sensitive Hg2+ determination in shellfish. RGO-AuNPs is one-step electrodeposited on screen-printed electrode (SPE) surface as a high-performance sensing platform. Hg2+ aptamer serves as a molecular recognizer and selectively responds to Hg2+, thus triggering thymine-Hg2+-thymine (T-Hg2+-T) coordination. Exo-III is activated to cleavage the T-Hg2+-T structure, leading to partial aptamer breakage on sensor surface. Particularly, the reduction of DNA phosphate skeletons actuates is sensitively recorded by the external signal probe (I[Fe(CN)6]4-) and further amplified, thus composing a signal-on system. Under optimum conditions, as-fabricated sensor presents a good linear relationship to Hg2+ level in the range of 3.5×10−3 – 5.6×10−1 mg L−1, and the detection limit (LOD) is well found as 1.2×10−3 mg L−1. In certified ICP-MS and recovery tests of shellfish samples, the errors and recovery rates are calculated as 1.5%∼4.4% and 97.5%∼103.5%, respectively.

Finite element study of remote field eddy current methods for inner diameter and outer diameter pipeline defect classification

Remote field eddy current (RFEC) methods are widely applied for detecting pipeline defects. However, current RFEC methods cannot distinguish inner diameter (ID) defects from outer diameter (OD) defects. In addition, existing RFEC probes are usually driven by an extremely low-frequency signal, which reduces the detection efficiency. To address these issues, a novel external RFEC probe is designed to improve the detection performance. First, the probe structure is designed using a simulation tool. Second, the excitation and structural parameters are optimally selected. Finally, the relationships between the signal features and the defect dimensions are analysed. The results show that the probe can realise the RFEC effect without shield cages, the exciting frequency is significantly improved and the phase angle can be used to classify ID and OD defects.

Dark matter-electron interactions in materials beyond the dark photon model

The search for sub-GeV dark matter (DM) particles via electronic transitions in underground detectors attracted much theoretical and experimental interest in the past few years. A still open question in this field is whether experimental results can in general be interpreted in a framework where the response of detector materials to an external DM probe is described by a single ionisation or crystal form factor, as expected for the so-called dark photon model. Here, ionisation and crystal form factors are examples of material response functions: interaction-specific integrals of the initial and final state electron wave functions. In this work, we address this question through a systematic classification of the material response functions induced by a wide range of models for spin-0, spin-1/2 and spin-1 DM. We find several examples for which an accurate description of the electronic transition rate at DM direct detection experiments requires material response functions that go beyond those expected for the dark photon model. This concretely illustrates the limitations of a framework that is entirely based on the standard ionisation and crystal form factors, and points towards the need for the general response-function-based formalism we pushed forward recently [1,2]. For the models that require non-standard atomic and crystal response functions, we use the response functions of [1,2] to calculate the DM-induced electronic transition rate in atomic and crystal detectors, and to present 90% confidence level exclusion limits on the strength of the DM-electron interaction from the null results reported by XENON10, XENON1T, EDELWEISS and SENSEI.