A multifunctional surface-enhanced Raman scattering (SERS) platform integrating sensitive detection and drug resistance analysis was developed for Gram-positive bacteria. The substrate was based on self-assembled Ti3C2Tx@Au NPs films and capture molecule phytic acid (IP6) to achieve specific capture of Gram-positive bacteria and different bacteria were analyzed by fingerprint signal. It had advantages of good stability and homogeneity (RSD = 8.88%). The detection limit (LOD) was 102 CFU/mL for Staphylococcus aureus and 103 CFU/mL for MRSA, respectively. A sandwich structure was formed on the capture substrate by signal labels prepared by antibiotics (penicillin G and vancomycin) and non-interference SERS probe molecules (4-mercaptobenzonitrile (2223 cm-1) and 2-amino-4-cyanopyridine (2240 cm-1)) to improve sensitivity. The LOD of Au NPs@4-MBN@PG to S. aureus and Au NPs@AMCP@Van to MRSA and S. aureus were all improved to 10 CFU/mL, with a wide dynamic linear range from 108 to 10 CFU/mL (R2 ≥ 0.992). The SERS platform can analyze the drug resistance of drug-resistant bacteria. Au NPs@4-MBN@PG was added to the substrate and captured MRSA to compare the SERS spectra of 4-MBN. The intensity inhomogeneity of 4-MBN at the same concentrations of MRSA and the nonlinearity at the different concentrations of MRSA revealed that MRSA was resistant to PG. Finally, the SERS platform achieved the determination of MRSA in blood. Therefore, this SERS platform has great significance for the determination and analysis of Gram-positive bacteria.
Anti-Bacterial Agents , Gold , Limit of Detection , Metal Nanoparticles , Spectrum Analysis, Raman , Staphylococcus aureus , Titanium , Spectrum Analysis, Raman/methods , Gold/chemistry , Anti-Bacterial Agents/pharmacology , Anti-Bacterial Agents/chemistry , Titanium/chemistry , Metal Nanoparticles/chemistry , Staphylococcus aureus/drug effects , Staphylococcus aureus/isolation & purification , Methicillin-Resistant Staphylococcus aureus/drug effects , Methicillin-Resistant Staphylococcus aureus/isolation & purification , Vancomycin/pharmacology , Vancomycin/chemistry , Drug Resistance, Bacterial , Microbial Sensitivity Tests , Penicillin G/pharmacology , Penicillin G/chemistry , Gram-Positive Bacteria/drug effects , Gram-Positive Bacteria/isolation & purification
The imaging quality of the Mapping Imaging Spectrometer (IMS) is crucial for spectral identification and detection performance. In IMS, the image mapper significantly influences the imaging quality. Traditional image mappers utilize a single-point diamond machining process. This process leads to inevitable edge eating phenomena that further results in noticeable deficiencies in imaging, impacting spectral detection performance. Therefore, we propose a manufacturing process for the image mapper based on ultra-thin layered glass. This process involves precision polishing of ultra-thin glass with two-dimensional angles, systematically assembling it into an image mapper. The surface roughness after coating is generally superior to 10 nm, with a maximum angle deviation of less than 3'. This results in high mapping quality. Subsequently, a principle verification experimental system was established to conduct imaging tests on real targets. The reconstructed spectrum demonstrates excellent alignment with the results obtained from the Computed Tomography Imaging Spectrometer (CTIS). We thereby validate that this approach effectively resolves the issues associated with edge eating (caused by traditional single-point diamond machining), and leads to improved imaging quality. Also when compared to other techniques (like two-photon polymerization (2PP)), this process demonstrates notable advantages such as simplicity, efficiency, low processing costs, high fault tolerance, and stability, showcasing its potential for practical applications.
Recent years, two-dimensional transition metal carbonitrides (MXene) have attracted much attention in the field of surface-enhanced Raman scattering (SERS). However, the relatively low enhancement of MXene is a major challenge. Herein, Nb2C-Au NPs nanocomposites were prepared by electrostatic self-assembly method, which have a synergistically conjugated SERS effect. The EM hot spots of Nb2C-Au NPs are significantly enlarged and expanded, while the surface Fermi level is decreased. This synergistic effect could improve the SERS performance of the system. Consequently, for the dye molecules CV and MeB, the detection limits reach 10-10 M and 10-9 M, respectively, while for biomolecule adenine, the detection limit is as low as 5 × 10-8 M. The results also show the good concentration-dependent linearity, uniformity, reproducibility and stability of SERS substrate. Nb2C-Au NPs could be a fast, sensitive and stable SERS platform for label-free and non-destructive detection. This work may expand the application of MXene based materials in the field of SERS.
The acousto-optic tunable filter (AOTF) imaging spectrometer is a staring-type instrument that acquires spectral images of different bands asynchronously and sequentially, and is susceptible to platform jitter and target motion. When the integration time of the detector increases, serious spectral images degradation occurs along with a large band-to-band misregistration. The dual-path optical configuration, capable of simultaneously acquiring diffracted and undiffracted beams of AOTF, has been shown to be effective in solving the problem of band-to band misregistration. Hence by solving the remaining spectral image degradation problems, the application range of AOTF will transcend the previous limitation. Therefore, this paper presents a new, to the best of our knowledge, method of capturing a series of short-exposure undiffracted beam images to calculate the blur kernel of the diffracted spectral images, since the high-intensity characteristics of the undiffracted beam can also be exploited in the dual-path system. The paper starts with analyzing the impact of the platform on spectral images, and then demonstrates the development and calibration of a dual-path based spectral image deblurring method. Finally, laboratory experiment verifies that the resulting blur kernel can be effectively used for spectral image restoration, thus demonstrating the robustness of this technique.
The interaction between subwavelength elements must be considered when constructing a metasurface. Generally, the interaction between cell structures is ignored when metasurface optoelectronic devices are designed, which results in a significant decrease in the design performance and efficiency of the overall metasurface structure. To reduce or further eliminate the interaction between cell structures, we propose a cell structure with borders to construct coded metasurface sequences. At the same time, we design a common frameless cell structure to construct a traditional coding metasurface. By numerical simulation of the near-field distribution and far-field scattering characteristics of these two types of coded metasurface sequences, we find that the element structure with a medium frame can attenuate the interaction between adjacent encoded particles. In the process of transmission on the encoding metasurface with a frame, different encoded particles can independently express their transmission phase and are not affected by adjacent structures, thus realizing a low coupling coding metasurface.
Random speckles are proposed to demodulate Fabry-Perot (FP) sensors in this study. A piece of multimode fiber is used to interrogate the FP transmission spectrum, and tiny spectral changes lead to significant variations in the generated speckle patterns. In the demonstration experiments, the pressure resolution of 0.001â MPa can be obtained from an open cavity FP sensor based on the convolutional neural network (CNN) demodulation algorithm. It is worth noting that the spectral differences in neighboring orders can be precisely distinguished due to the high sensitivity of speckles. Thus, the fringe-order ambiguity problem is solved and the dynamic measurement range can be greatly improved. The speckle-based demodulation scheme provides a new way to balance resolution, dynamic range, speed, and cost of FP sensors.
Speckle patterns have been widely employed as a method for precisely determining the wavelength of monochromatic light. In order to achieve higher wavelength precision, a variety of optical diffusing waveguides have been investigated with a focus on their wavelength sensitivity. However, it has been a challenge to find a balance among the cost, compactness, precision, and stability of the waveguide. In this work, we designed a compact cylindrical random scattering waveguide (CRSW) as the light diffuser by mixing TiO2 particles and ultra-violate adhesive. In the CRSW, speckle patterns are generated by input light scattering off TiO2 particles multiple times. Additionally, a thin layer of upconversion nanoparticles (UCNPs) was sprayed on the end face of CRSW to allow near-infrared (NIR) light to be converted to visible light, breaking the imaging limitations of visible cameras in the NIR range. We, then, further designed a convolution neural network (CNN) to recognize the wavelength of the speckle patterns with excellent robustness and ability to transfer learning. This resulted in the achievement of a high wavelength precision of 20 kHz (â¼0.16 fm) at around 1550 nm with a temperature resistance of ±2 °C. Our results demonstrate a low-cost, compact, and simple NIR wavemeter, which is capable of ultra-high wavelength precision and good temperature stability. It has significant value for applications in high-speed and high-precision laser wavelength measurements.
Single fiber scanners (SFSs), with the advantages of compact size, versatility, large field of view, and high resolution, have been applied in many areas. However, image distortions persistently impair the imaging quality of the SFS, although many efforts have been made to address the problem. In this Letter, we propose a simple and complete solution by combining the piezoelectric (PZT) self-induction sensor and machine learning algorithms. The PZT tube was utilized as both the actuator and the fiber position sensor. Additionally, the feedback sensor signal was interrogated by a convolution neural network to eliminate the noise. The experimental results show that the predicted fiber trajectory error was below 0.1%. Moreover, this self-calibration SFS has an excellent robustness to temperature changes (20-50°C). It is believed that the proposed solution has removed the biggest barrier for the SFS and greatly improved its performance and stability in complex environments.
An ultra-sensitive fiber optic sensor based on a HO(Me2SiO)nH (silicone rubber) Fabry-Pérot (FP) resonant cavity is fabricated through a simple method of dipping, which has high linearity, high sensitivity, and a wide response range to temperature. The silicone rubber can form a smooth sphere without wire drawing, and it has strong heat resistance and aging resistance. Its favorable waterproof performance enables it to work efficiently in different humid environments. A method of synchronizing the detection and wavelength sweeping signal is applied to analyze the wavelength shifts of the interference signal. The sensitivity of the fabricated FP sensor is almost 400 pm/°C in the range of 50-190°C with a linearity of 0.999, and the resolution is 0.002 nm. In addition, the testing results at room temperature can also satisfy the linear relationship, providing the possibility of applications in the biological field.
A novel distributed fiber-optic sensor is proposed and demonstrated, in which two Mach-Zehnder interferometers are used to detect the interference signals with different wavelengths, and one 3 × 3 coupler is deployed to demodulate the time-varying phase change caused by vibration. The novel dual Mach-Zehnder interferometer (DMZI) is composed of two wavelength division multiplexers. Then, a time delay estimation algorithm is designed to construct two related signals using the phase difference, and the two constructed signals are used to obtain vibration position through cross-correlation. Experimental results show that the sensing distance can reach 100â km and the location error is within ±25 m.
A novel distributed fiber-optic localization algorithm with high sensitivity and precision based on merged Michelson-Sagnac interferometer is proposed and demonstrated. By performing simple addition and subtraction processing on the two phase differences of the two interferometers, two superimposed signals with a fixed delay can be obtained. The time delay can be calculated by a cross-correlation algorithm. Combined with the polynomial fitting interpolation, the disturbance location resolution is significantly improved. The total sensing distance can reach 120â km, and the localization errors are within ±35 m and ±160 m in the contact and non-contact disturbance experiment, respectively.
We theoretically and experimentally demonstrate a method for measuring the phase and intensity noise and their correlation in superluminescent diodes. A Michelson interferometer containing strongly unbalanced paths has been developed to measure the noise. By the spectral analysis of the photocurrents in detectors, the intensity noise is about twice the value of the phase noise in the superluminescent diode. The more interesting result we obtained is the experimental evidence that the intensity noise and the phase noise are mutually independent. The correlation coefficient of the intensity noise and the phase noise fluctuates between -0.08 and 0, which shows scarcely any sign of amplitude-phase noise correlation. The results offer a basic premise for the analysis of broadband light sources.
The platform vibration will cause spectral images blurring when using computed tomographic imaging spectrometer (CTIS) on unstable platform, especially in space-borne or ship-based application. As a result, a phenomenon of blur-induced spectral distortion occurs, which greatly affects the accuracy of classification of target. However, without easy accessibility of the knowledge of image motion kernel, it is difficult to restore the degraded images accurately. With the desire to solve the motion function, this paper has made a breakthrough by proposing a motion detection method using short exposure images from zeroth order beam light of 2D-grating. Contributed by the accurate motion kernel, blurred spectral images could be reliably restored as well as the improvement of spectra accuracy. Laboratory experiment result shows the robust spectra restoration capability of this technique.
Accurate band-to-band registration is crucial when an acousto-optic tunable filter (AOTF)-based imaging spectrometer is used to acquire spectral data on an unstable platform. However, it is difficult to registrate hyperspectral images accurately using traditional image registration algorithms, which will seriously affect the accurate acquisition of spectra and reduce the classification accuracy. Here we demonstrate an optical configuration that acquires the diffracted and undiffracted beam of the AOTF simultaneously. These two beams have identical geometrical optical characteristic and suffer from the same image motion caused by the platform jitter. Compared with the diffracted beam, however, the intensity of the undiffracted beam is changeless when tuning the AOTF. Therefore, the use of undiffracted beams allows accurate measurement of image motion in different bands. The experiment shows that this technique greatly improves the registration accuracy of spectral images with poor correlation and low SNR.
To improve the tuning relation accuracy of an acousto-optic tunable filter, the conventional separated laser and broadband light methods were combined. The single laser test measured one accurate point and corrected the large amounts of data obtained from the broadband light method. The final tuning relation was fitted by the corrected data. A simulation and an experiment for several methods were conducted for comparison. The relative error was reduced from 0.2% to 0.05% in the 430~785 nm range. The equivalent wavelength accuracy improved from 1 to 0.2 nm. This method solved the problems associated with the use of a single laser source with few test data values and a single broadband light source with poor collimation.
An user defined surface function method was proposed to model the acousto-optic interaction of AOTF based on wave-vector match principle. Assessment experiment result shows that this model can achieve accurate ray trace of AOTF diffracted beam. In addition, AOTF imaging spectrometer presents large residual lateral color when traditional chromatic aberrations correcting method is adopted. In order to reduce lateral chromatic aberrations, a method based on doublet prism is proposed. The optical material and angle of the prism are optimized automatically using global optimization with the help of user defined AOTF surface. Simulation result shows that the proposed method provides AOTF imaging spectrometer with great conveniences, which reduces the lateral chromatic aberration to less than 0.000 3 degrees and improves by one order of magnitude, with spectral image shift effectively corrected.
