High-performance grating-like SERS substrate based on machine learning for ultrasensitive detection of Zexie-Baizhu decoction.

Rapid, universal and accurate identification of chemical composition changes in multi-component traditional Chinese medicine (TCM) decoction is a necessary condition for elucidating the effectiveness and mechanism of pharmacodynamic substances in TCM. In this paper, SERS technology, combined with grating-like SERS substrate and machine learning method, was used to establish an efficient and sensitive method for the detection of TCM decoction. Firstly, the grating-like substrate prepared by magnetron sputtering technology was served as a reliable SERS sensor for the identification of TCM decoction. The enhancement factor (EF) of 4-ATP probe molecules was as high as 1.90 × 107 and the limit of detection (LOD) was as low as 1 × 10-10 M. Then, SERS technology combined with support vector machine (SVM), decision tree (DT), Naive Bayes (NB) and other machine learning algorithms were used to classify and identify the three TCM decoctions, and the classification accuracy rate was as high as 97.78 %. In summary, it is expected that the proposed method combining SERS and machine learning method will have a high development in the practical application of multi-component analytes in TCM.

Optimization of surface enhanced Raman scattering performance based on Ag nanoparticle-modified vanadium-titanium nanorods with tunable nanogaps.

The combination of new noble metal nanomaterials and surface enhanced Raman scattering (SERS) technology has become a new strategy to solve the problem of low sensitivity in the detection of traditional Chinese medicine. In this work, taking natural cicada wing (C.w.) as a template, by optimizing the magnetron sputtering experimental parameters for the growth of Ag nanoparticles (NPs) on vanadium-titanium (V-Ti) nanorods, the nanogaps between the nanorods were effectively regulated and the Raman signal intensity of the Ag15/V-Ti20/C.w. substrate was improved. The proposed homogeneous nanostructure exhibited high SERS activity through the synergistic effect of the electromagnetic enhancement mechanism at the nanogaps between the Ag NPs modified V-Ti nanorods. The analytical enhancement factor (AEF) value was as high as 1.819 × 108, and the limit of detection (LOD) was 1 × 10-11 M for R6G. The large-scale distribution of regular electromagnetic enhancement "hot spots" ensured the good reproducibility with the relative standard deviation (RSD) value less than 7.31%. More importantly, the active compound of Artemisinin corresponded the pharmacological effect of Artemisia annua was screened out by SERS technology, and achieved a LOD of 0.01 mg/l. This reliable preparation technology was practically applicable to produce SERS-active substrates in detection of pharmacodynamic substance in traditional Chinese medicine.

M × N electrically controlled optofluidic matrix switch.

A completely non-blocking M×N electrically controlled optofluidic matrix switch that uses a 1×3 optical switch with a V-shaped microchannel as the switching unit is proposed. Its light paths and output ports are selected by a micro-actuator matrix and a control circuit. There are few reports of optofluidic matrix switches. Here the given electrostatic micro-actuator and the basic switch structure provide an effective feasible manner for the matrix switch due to the simple and compact structure as well as the operation style. The impacts of microchannels and intersecting waveguides on the switch performance are discussed, and multiple optimization schemes are proposed to reduce the insertion loss efficiently and significantly. The research results indicate that the M×N matrix switch has the advantages of good matrix controllability, simple structure, wide waveband (400-1700 nm), negligible polarization-dependent loss, small insertion loss, and low cross talk. For 1550 nm wavelength, the insertion loss of a 2×6 matrix switch is about 0.17-0.55 dB, and the maximum cross talk is less than -26.8dB. In addition, the performance parameters of a 4×8 matrix switch are given and compared with other reported matrix switches. The proposed M×N matrix switch solves the problem of large insertion loss of general optical matrix switches and can be expanded to a large-scale matrix switch. Moreover, the design of multiple output ports has more flexible applications in systems with multiple branch optical paths and network nodes.

Comparison of the efficacy and impact of GEMOX and GDP in the treatment of patients with non-Hodgkin's lymphoma.

PURPOSE: To compare the efficacy and impact of GEMOX and GDP in the treatment of patients with non-Hodgkin's lymphoma (NHL). METHODS: A total of 68 patients with NHL admitted to the hospitals of the authors from February 2013 to April 2016 were equally distributed into the GEMOX Group (treated with Gemcitabine and Oxaliplatin) and the GDP Group (treated with Gemcitabine, Cisplatin, and Dexamethasone), with cycle repetition every 3 weeks. The efficacy was analyzed every two weeks. The side effects were analyzed once a week. Comparison of survival was performed using Kaplan-Meier method and log-rank test and Cox univariate and multivariate regression analyses. RESULTS: Efficacy in the two groups was not statistically different (p>0.05). The incidence of III-IV grade of nausea and vomiting in the GDP Group was higher than in the GEMOX Group (p<0.05). The overall incidence decreased hemoglobin, nausea and vomiting, and renal dysfunction of the GDP Group was also higher than in the GEMOX Group (p<0.05). Analysis by multivariate Cox model found that the clinical classification and the grade of malignancy were independent prognostic factors (p<0.05). The odds ratio (OR) values of the clinical classification in the GEMOX Group and the GDP Group were 2.874 and 24.074, respectively. The OR values of the grade of malignancy in the GEMOX Group and the GDP Group were 14.034 and 6.873, respectively. CONCLUSION: Both the GEMOX regimen and the GDP regimen had good short-term efficacy on NHL patients, but the GEMOX regimen is to be preferred since as it had fewer side effects than the GDP regimen.