Detection of microplastics via a confocal-microscope spatial-heterodyne Raman spectrometer with echelle gratings.

Microplastic pollution has become a global environmental problem that cannot be ignored. Raman spectroscopy has been widely used for microplastics detection because it can be performed in real-time and is non-destructive. Conventional detection techniques have had weak signals and low signal-to-noise ratios (SNR). Here, an efficient and reliable detection method is demonstrated. Specifically, a confocal microscope combined with an echelle-grating spatial-heterodyne Raman spectrometer (CM-ESHRS) was constructed. The confocal microscopy and the characteristics of the echelle grating enabled high optical throughput, high SNR, high spectral resolution, and a wide spectral detection band. After spectral calibration, the resolution approached 0.67 cm-1, moreover, the spectral detection range for a single order was 1372.16 cm-1. We detected and analyzed nineteen kinds of microplastics, such as polyamide, polypropylene, and polymethylmethacrylate, and the main vibrational spectral bands were categorized. Compared with commercial dispersive spectrometers, CM-ESHRS has a higher optical throughput. In addition, we examined microplastics with various particle sizes, microplastics mixed in flour, and microplastic particles of different materials under mixed conditions, all of which yielded complete spectral information. Overall, CM-ESHRS exhibits good potential applications for the detection of microplastics.

The first report of Apiotrichum mycotoxinivorans isolation from human cerebrospinal fluid.

Fungal infections due to Apiotrichum mycotoxinivorans are clinically rare. Here, we report a case of invasive blood and cerebrospinal fluid infection by Apiotrichum mycotoxinivorans in a girl with B-cell acute lymphoblastic leukemia. This is the first report of the isolation of Apiotrichum mycotoxinivorans from human cerebrospinal fluid. MRI features of meningitis caused by this fungus are presented. Three small isoquinoline alkaloids inhibited the growth of this rare fungus in vitro, providing a starting point for the application of natural products to treat this highly fatal fungal infection. Our case presentation confirms Apiotrichum mycotoxinivorans as a potential emerging pathogen in patients with hematological malignancy undergoing chemotherapy.

Accurate spectrogram restoration algorithm for an echelle spectrometer based on adaptive parameters.

The echelle spectrometer is a high-resolution spectrometer that can realize transient direct readings of a full spectrum. To improve the accuracy of the spectrogram restoration model in calibration, multiple-integral time fusion, and an improved adaptive-threshold centroid algorithm are used to overcome noise and improve the accuracy of calculating the light spot position. A seven-parameter pyramid-traversal method is proposed to optimize the parameters of the spectrogram restoration model. The deviation of the spectrogram model is significantly reduced after the parameters are optimized, and the deviation curve fluctuation becomes mild, which greatly improves the model's accuracy after curve fitting.The test results show that the accuracy of the spot position determination algorithm proposed in this paper is 0.1 pixels. In addition to this, the accuracy of the spectral restoration model is controlled within 0.3 pixels in a short-wave stage and 0.7 pixels in a long-wave stage. Compared with the traditional algorithm, the accuracy of spectrogram restoration is more than two times, and the spectral calibration time is less than 45 min.

Research on spectral reconstruction algorithm for snapshot microlens array micro-hyperspectral imaging system.

Snapshot microlens array microscopic hyperspectral imaging systems do not require a scanning process and obtain (x,y,λ) three-dimensional data cubes in one shot. Currently, the three-dimensional spectra image data are interleaved on a charge-coupled device detector, which increases subsequent data processing difficulty. The optical design software cannot simulate actual engineering installation and adjustment results accurately and the tracking results cannot guide precise rapid online calibration of the snapshot microlens array microscopic hyperspectral imaging system. To solve these problems, we propose an accurate spectral image reconstruction model based on optical tracing, derive spatial dispersion equations for the prisms and gratings, establish an algorithm model for the correspondence between the microlens array's surface dispersion spectral distribution and its imaging position, and propose a three-dimensional spectral image reconstruction algorithm. Experimental results show that this algorithm's actual spectral calibration error is better than 0.2 nm. This meets the image processing requirements of snapshot microlens array microscopic hyperspectral systems.

Microlens array snapshot hyperspectral microscopy system for the biomedical domain.

We propose a microlens array-type snapshot hyperspectral microscope system that can provide spatial spectrum sampling according to detector frame rates for the biomedical domain. The system uses a shared optical path design. One path is used to perform direct microscopic imaging with high spatial resolution, while the other is used to collect microscopic images through a microlens array; the images are then spatially cut and reimaged such that they are spaced simultaneously by the prism-grating type hyperspectral imager's dispersion. Rapid acquisition of a three-dimensional data cube measuring 28×14×180 (x×y×λ) can be performed at the detector's frame rate. The system has a spatial resolution of 2.5 µm and can achieve 180-channel sampling of a 100 nm spectrum in the 400-800 nm spectral range with spectral resolution of approximately 0.56 nm. Spectral imaging results from biological samples show that the microlens array-type snapshot hyperspectral microscope system may potentially be applied in real-time biological spectral imaging.

Optical design of a prism-grating-based lenslet array integral field spectrometer.

The optics for an integral field spectrometer based on a lenslet array is described. The principle behind the integral field spectroscopy of this system is introduced and partial modeling of the structure of the system is developed. A hybrid design method from physical optics and geometrical optics is used to design the system. Because the functions of the optical system before and after the lenslet array are different, the telephoto system and the spectrograph need to be separated. The optical system was then optimized using a combination design. This method is confirmed by simulation and comparison results and can be used in the design of other lenslet array integral field spectrometers.

Method for measurement of eccentricity and tilt of lenslet array integral field spectrometer.

This paper proposes a more accurate eccentricity and tilt measurement method based on Young's interference experiment. The basic principle of the method is introduced first before the method is simulated. Then the results are obtained when a to-be-adjusted focusing lens with eccentricity and tilt is simulated. The optical sensitivity also is obtained from these simulation results, and the expression for the change in optical path length caused by eccentricity and tilt is analyzed. Use of this method to detect eccentricity and tilt and assist in adjustment of the system allows the instrument to achieve higher accuracy and thus obtain improved imaging quality and spectral resolution.

Effects of ultrasonic agitation and surfactant additive on surface roughness of Si (111) crystal plane in alkaline KOH solution.

In the silicon wet etching process, the "pseudo-mask" formed by the hydrogen bubbles generated during the etching process is the reason causing high surface roughness and poor surface quality. Based upon the ultrasonic mechanical effect and wettability enhanced by isopropyl alcohol (IPA), ultrasonic agitation and IPA were used to improve surface quality of Si (111) crystal plane during silicon wet etching process. The surface roughness Rq is smaller than 15 nm when using ultrasonic agitation and Rq is smaller than 7 nm when using IPA. When the range of IPA concentration (mass fraction, wt%) is 5-20%, the ultrasonic frequency is 100 kHz and the ultrasound intensity is 30-50 W/L, the surface roughness Rq is smaller than 2 nm when combining ultrasonic agitation and IPA. The surface roughness Rq is equal to 1 nm when the mass fraction of IPA, ultrasound intensity and the ultrasonic frequency is 20%, 50 W and 100 kHz respectively. The experimental results indicated that the combination of ultrasonic agitation and IPA could obtain a lower surface roughness of Si (111) crystal plane in silicon wet etching process.