Wuliji Hasi's research while affiliated with Harbin Institute of Technology and other places

... In this equation, ԑ represents the shear strain experienced by the device due to bending. Consequently, there exists the following relationship between the characteristic wavelength λ ki and the curvature [49]: ...

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High sensitivity I-beam shaped polarization related vector curvature sensor with optical intensity modulation

... Gold and silver nanoparticles have been largely utilized as agents to enhance the Raman scattering in SERS mainly because of their stability and excellent enhancement properties [27,28]. Metal nanoparticles can be fabricated via self-assembly [29], ink-jet printing [25], the deposition of presynthesized colloidal metal nanoparticles [30], surfactant-free synthesis [31], silver-complex ink [32], etc. Nevertheless, any alternative approach that would entail a more facile yet still efficient procedure devoid of disadvantages such as the cost and operating time remains attractive and worthy of investigation. ...

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Highly sensitive plasmonic paper substrate fabricated via amphiphilic polymer self-assembly in microdroplet for detection of emerging pharmaceutical pollutants

... The accuracy of each algorithm was evaluated by measuring the percentage of correctly classified compounds out of the total number of test compounds. The algorithms compared in this study were the Fuzzy KNN (F-KNN) method [40], Learning Vector Quantization (LVQ) [41], C4.5 method [42], K-Means clustering method [43], momentum backpropagation (MK) method [44], PCA-SVM [45], and hybrid CMA-ES (GA-C-E) algorithm. ...

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Hybrid Genetic Algorithm and CMA-ES Optimization for RNN-Based Chemical Compound Classification

... Li [44] combined SERS with a deep learning convolutional neural network (CNN) algorithm to detect the thiram and pymetrozine in tea, with correlation values of 0.995 and 0.977. The method proposed by Sha [45] is to identify midazolam and diazepam by combining SERS with CNN. The coefficient of detection reaches up to 0.966. ...

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Rapid Indentification of Auramine O Dyeing Adulteration in Dendrobium officinale, Saffron and Curcuma by SERS Raman Spectroscopy Combined with SSA-BP Neural Networks Model

... This method involved dissecting the SERS spectrum of the mixture and providing a schematic representation, which indicated the proportion of each antibiotic. Applying SERS sensors directly to real-world samples like human milk presents challenges due to interfering compounds (Fang et al., 2022). It should be noted that, in this experiment, human milk underwent centrifugation with acid to eliminate fat and protein, and the resulting supernatant was collected for SERS spectral detection. ...

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Pseudo-Siamese network combined with label-free Raman spectroscopy for the quantification of mixed trace amounts of antibiotics in human milk: A feasibility study

... 23,24 More common are TLC-surface enhanced Raman spectroscopy (SERS) methods, which use metal nanostructures to increase Raman signals for detection of molecules at low concentrations. TLC-SERS has been employed to separate and quantify analytes in a variety of applications, such as reaction progress monitoring, food safety analysis, etc. [25][26][27][28] Quantitative TLC-Raman remains a relatively unexplored technique for plant pigment analysis. ...

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Identification and quantification of pigments in plant leaves using thin layer chromatography- Raman spectroscopy (TLC- Raman)

... At present, various metal nanoparticles with different morphologies have been successfully synthesized, such as nanocubes (NCs) [14], nanowires (NWs) [15], nanorods (NRs) [16], nanostars (NSs) [17], and nano triangles (NT) [18]. Among them, silver NCs exhibit strong and unique LSPR performance, providing powerful SERS property by the sharp edges and angles [19]. ...

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Self-assembly flexible SERS imprinted membrane based on Ag nanocubes for selective detection of microcystin-LR

... These structures are suitable for studying the fundamental properties of plasmon coupling, but their application as SERS platforms that utilize the strong electromagnetic field spaces is challenging. Therefore, research focusing on utilizing this distinctive plasmon coupling in high-density two-dimensional assemblies of metal nanoparticles, which have demonstrated utility as SERS sensing platforms [27][28][29], has recently attracted particular attention [30,31]. For example, the SERS activity of two-dimensional assemblies composed of two components, AuNPs and Au@Ag nanocubes, has been reported to be significantly stronger compared to the two-dimensional assemblies consisting of single-component Au nanoparticles or Au@Ag nanocubes alone, attributed to strong plasmon coupling in heterodimers [30]. ...

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Development of Au Nanoparticle Two-Dimensional Assemblies Dispersed with Au Nanoparticle-Nanostar Complexes and Surface-Enhanced Raman Scattering Activity

... According to different experimental methods, SERS can enhance the signal by 10 4 -10 15 times compared with ordinary Raman spectroscopy [21], which greatly improves the detection sensitivity and can reach the level of single virus [22]. Based on its advantages of high sensitivity, speed, nondestructive and good biocompatibility, it has been widely used in many fields such as biomedicine, food and environmental safety [23,24]. The Raman nanospheres (RNPs) used in this study are a new type of nanomaterials with core-shell structure formed by the fusion of a variety of metals, small molecular substances, polymers, etc. ...

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Combined detection of SARS-CoV-2 neutralizing antibodies and specific IgG in plasma based on SERS magnetic sensor

... By self-assembling a monolayer of AuSph onto FP, the strong affinity of chloride ion with the gold surface was adapted to greatly enhance the SERS signals. Fentanyl citrate in urine samples were detected with the LOD of 0.59 g mL −1 [165]. ...

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Paper-based substrates for surface-enhanced Raman spectroscopy sensing