Xiamen Products Quality Supervision and Inspection Institute

Xiamen, China

Xiamen Products Quality Supervision and Inspection Institute

Xiamen, China
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Bai Z.,Zhejiang University | Bai Z.,Xiamen Products Quality Supervision and Inspection Institute | Bao H.,Zhejiang University | Yuan Y.,Zhejiang University | And 3 more authors.
Analytica Chimica Acta | Year: 2016

It is of great importance to understand biochemical system's behavior toward environmental perturbation during the development of living organisms. Here a microfluidic platform for Drosophila embryo's online development and observation is presented. The system is capable of developing the embryo's anterior and posterior halves controlled at different temperature environments, and it can be easily coupled with a confocal microscope for real-time image acquisition. The microfluidic chip is consisted of a polymethylmethacrylate (PMMA) substrate with a thickness of 4.0 mm and a polydimethylsiloxane (PDMS) cover designed with a typical 'Y' channel with a depth of 400 μm, width of 800 μm. Temperature gradients were created across the anterior half and posterior half of the embryo by utilizing two streams of laminar flow with different temperatures. It was found that thermal gradient would result in asynchronous development of the two halves of the embryos, and the developing difference was related to the direction of thermal gradient. This may result from the presence of an unknown mechanism located in the anterior half of the embryo, which oversees nuclear division synchronicity. These observations would help better understand compensatory mechanisms of Drosophila embryo's development under environmental perturbations. © 2017 Elsevier B.V.


Yu W.,Shandong University | Jiang X.,Xiamen Products Quality Supervision and Inspection Institute | Meng F.,Tianjin Lishen Battery Joint stock Co. | Zhang Z.,Shandong University | And 2 more authors.
RSC Advances | Year: 2016

Herein, the rational design and synthesis of manganese oxides (MnO2 and MnO) have been achieved and both of them show petal-like microsphere structures. As anodes for LIBs, MnO exhibits a higher capacity of 751.4 mA h g-1 after 400 cycles (492.7 mA h g-1 for MnO2 after 300 cycles) at 2000 mA g-1. © The Royal Society of Chemistry 2016.


Jiang X.,Xiamen Products Quality Supervision and Inspection Institute | Yu W.,Shandong University | Wang H.,Environmental Protection Administration of Linyi | Xu H.,Shandong University | And 2 more authors.
Journal of Materials Chemistry A | Year: 2016

Porous hybrid materials with designed micro/nano-sub-structures have been recognized as promising anodes for lithium-ion batteries (LIBs) due to their high capacity and reliable performance. The low electrical conductivity and side-reactions at the interface of electrode/electrolyte prohibit their practical applications. Carbon material modification can effectively enhance the conductivity and mechanical properties, and suppress the direct contact between the electrode and electrolyte, leading to enhanced performance. Herein, unique porous MnO with micro/nano-architectures has been in situ decorated with carbon layers on the surface and by carbon nanotube doping between the particles (denoted as MnO@C/CNTs) by a catalytic chemical vapor deposition (CCVD) treatment. As anodes in LIBs, these MnO@C/CNTs exhibit remarkable cycling performance (1266 mA h g-1 after 300 cycles at 500 mA g-1) and good rate capability (850 mA h g-1 after 100 cycles at 100 mA g-1). The inspiring performance is associated with the carbon modified porous micro/nano-structure features which can buffer the volume expansion and promote the ion/electron transfer at the interface of electrode/electrolyte. © 2016 The Royal Society of Chemistry.


Huang H.,China Institute of Metrology | She W.,China Institute of Metrology | Yang L.,China Institute of Metrology | Huang H.,Xiamen Products Quality Supervision and Inspection Institute
Advanced Materials Research | Year: 2012

A visible-light-responsive TiO 2-xN x photocatalyst was prepared by a very simple method. Ammonia solution was used as nitrogen resource in this paper. The TiO 2-xN x photocatalyst was characterized by X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET), UV-Vis diffuse reflection spectra (DRS), and X-ray photoelectron spectroscopy (XPS). The ethylene was selected as a target pollutant under visible light excitation to evaluate the activity of this photocatalyst. The new prepared TiO 2-xN x photocatalyst with strong photocatalytic activity under visible light irradiation was demonstrated in the experiment.


Huang H.,China Institute of Metrology | She W.,China Institute of Metrology | Huang H.,Xiamen Products Quality Supervision and Inspection Institute
Advanced Materials Research | Year: 2012

A visible-light-driven CeVO 4/TiO 2 photocatalyst with nanostructured heterojunction has been successfully prepared by a simple coupled method. The catalyst was characterized by powder X-ray diffraction (XRD), transmission electron microscopy (TEM), UV-vis diffuse reflectance spectroscopy (DRS) and spin-trapping electron paramagnetic resonance (EPR). The visible light-induced photocatalytic activities were evaluated by decomposing benzene in gas phase. The result showed that the prepared catalyst exhibited efficient photocatalytic activities with high photochemical stability under visible light irradiation.


Sun X.,Zhengzhou University | Lin W.,Xiamen Products Quality Supervision and Inspection Institute | Li X.,Zhengzhou University | Shen Q.,Zhengzhou University | Luo H.,Xiamen Medical College
Analytical Methods | Year: 2015

Detection of adulteration in extra virgin olive oil (EVOO) is one of the main aspects in the quality control. In this study, we sought to identify the adulterated oil from EVOO to discriminate the type of adulterants and to quantify the levels of adulteration using FT-IR spectroscopy coupled with chemometrics. Supervised locally linear embedding (SLLE) was employed to reduce the dimensionality of variables and then compared with principal component analysis and locally linear embedding. The results show that SLLE gave satisfactory results. Nearest centroid classification and PLS regression methods were applied to establish the classification and quantification models for EVOO adulteration using the compressed low dimensional FT-IR data. The results have shown that we can clearly identify which edible oils are adulterated and accurately quantify the percentage of adulteration in EVOO. This journal is © The Royal Society of Chemistry 2015.


Zhuang Q.,Xiamen University | Zhuang Q.,Xiamen Products Quality Supervision and Inspection Institute | Yang Z.,Xiamen University | Kang J.,Xiamen University
Applied Physics Letters | Year: 2013

Zn/Zn2SiO4 core-shell nanocables are convenient to grow and have ability to carry ultraviolet (UV) information, which makes them a promising structure in the future application, the nano-waveguide amplifier. In this study, the propagation and enhancement characteristics of surface plasmon polaritons in metal-dielectric core-shell nanocables are experimentally and theoretically studied. The strong coupling effect is also determined. The results demonstrate that UV signals can be effectively transmitted and significantly enhanced in the nanocables. © 2013 AIP Publishing LLC.


Liu B.,Shanghai Maritime University | Huang H.,Xiamen Products Quality Supervision and Inspection Institute | Zhang F.,Shanghai Maritime University | Zhou Y.,Shanghai Maritime University | And 2 more authors.
Materials Letters | Year: 2012

A novel solution-phase method is developed for preparation of agglomerates of amorphous carbon nanoparticles under ambient atmosphere by the reaction of ferrocene and ammonium chloride in diglycol at 200 °C. Samples are characterized by X-ray diffraction, field-emission scanning electron microscopy, transmission electron microscopy and N2 adsorption-desorption isotherms. It is found that the nanoparticles are complete amorphous and agglomerate together due to the strong surface tension. The agglomerates of amorphous carbon nanoparticles with a diameter of 20-50 nm have a wide size distribution of mesopores with a Brunauer-Emmett-Teller surface area of 75.2 m2 g- 1. It is proposed that the dissolved reactants uniformly dispersing in the solutions could react at a molecular level to form uniform carbon nanoparticles. © 2011 Elsevier B.V.


Haixia R.,Zhengzhou University | Weiqi L.,Xiamen Products Quality Supervision and Inspection Institute | Weimin S.,Zhengzhou University | Qi S.,Zhengzhou University
Analytical Letters | Year: 2013

The K-means algorithm has some limitations including dead-unit properties, heavy dependence on the initial choice of cluster centers, convergence to local optima, and sensitivity to the number of clusters. This paper presents an efficient algorithm that optimizes K-means clustering by a hybrid particle swarm algorithm. The modified discrete algorithm is used to select variables and is continuously applied to update cluster centers simultaneously. The nearest center classification is then employed to classify the test samples. The proposed algorithm was applied to discriminate various edible oil varieties by employing Fourier transform infrared spectroscopy. As a comparison, the common K-means clustering, principal component analysis, and partial least squares techniques were also applied to classify these edible oil samples. Results demonstrated that the proposed method is an accurate and rapid strategy for identifying edible oils. © 2013 Taylor and Francis Group, LLC.


Ren H.,Zhengzhou University | Lin W.,Xiamen Products Quality Supervision and Inspection Institute | Shi W.,Zhengzhou University | Shen Q.,Zhengzhou University | Wang S.,Zhengzhou University
Analytical Letters | Year: 2014

The Gaussian mixture model (GMM) and regression (GMR) are widely used statistical tools in pattern classification and nonlinear regression. In this paper, the suitability score was used for variable selection to improve GMM and GMR. The improved GMM was used to characterize peanut oil adulterated with palm oil using Fourier transform infrared spectroscopy. The improved GMR was applied to determine the concentration of palm oil contaminant present. As comparison, GMM and GMR with principal component analysis for feature extraction, support vector machine, back-propagation artificial neural network, nearest centroid classification, and partial least-squares analysis were also used to classify and quantify peanut oil. It was demonstrated that the method is a new classification and regression strategy for the detection of adulterated edible oil. © 2014 Copyright Taylor & Francis Group, LLC.

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