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In the present work, we developed a simple and rapid sample preparation method for the determination of neonicotinoid pesticides in honey based on the matrix-induced sugaring-out. Since there is a high concentration of sugars in the honey matrix, the honey samples were mixed directly with acetonitrile (ACN)-water mixture to trigger the phase separation. Analytes were extracted into the upper ACN phase without additional phase separation agents and injected into the HPLC system for the analysis. Parameters of this matrix-induced sugaring-out method were systematically investigated. The optimal protocol involves 2 g honey mixed with 4 mL ACN-water mixture (v/v, 60:40). In addition, this simple sample preparation method was compared with two other ACN-water-based homogenous liquid-liquid extraction methods, including salting-out assisted liquid-liquid extraction and subzero-temperature assisted liquid-liquid extraction. The present method was fully validated, the obtained limits of detection (LODs) and limits of quantification (LOQs) were from 21 to 27 and 70 to 90 μg/kg, respectively. Average recoveries at three spiked levels were in the range of 91.49% to 97.73%. Precision expressed as relative standard deviations (RSDs) in the inter-day and intra-day analysis were all lower than 5%. Finally, the developed method was applied for the analysis of eight honey samples, results showed that none of the target neonicotinoid residues were detected.

This paper introduces a compact optical information storage sensing system. Applications of this system include longitudinal surface plasmon resonance detection of gold nanorods with a single femtosecond laser in three-dimensional space as well as data storage. A diffractive optical element (DOE) is applied in the system to separate the recording-reading beam from the servo beam. This allows us to apply a single laser and one objective lens in a single optical path for the servo beam and the recording-reading beam. The optical system has a linear region of 8 λ, which is compatible with current DVD servo modules. The wavefront error of the optical system is below 0.03 λrms. The minimum grating period of the DOE is 13.4 µm, and the depth of the DOE is 1.2 µm, which makes fabrication of it possible. The DOE is also designed to conveniently control the layer-selection process, as there is a linear correlation between the displacement of the DOE and the layer-selection distance. The displacement of DOE is in the range of 0–6.045 mm when the thickness of the layer-selection is 0.3 mm. Experiments were performed and the results have been verified.

An analytical method based on enhanced matrix removal–lipid liquid chromatography–tandem mass spectrometry (EMR-LC–MS/MS) was developed for the determination of neonicotinoid insecticides and metabolites residues (imidacloprid (IMI) and its metabolites imidacloprid-urea (IMI-U), imidacloprid-olefin (IMI-O), acetamiprid (ACE) and its metabolite N-desmethyl acetamiprid (IM 2–1), dinotefuran (DIN) and its metabolite [1-methy1-3(tetrahydro-3-furylmethy1) urea (DIN-UF), thiacloprid (THIA), thiamethoxam (TMX), clothianidin (CLO, metabolite of thiamethoxam), and flupyradifurone (FLU)) in milk and infant formula milk powder. The residual of neonicotinoid insecticides and their metabolites in samples were exacted by acetonitrile and extraction kits. The quantitative detection was performed by LC–MS/MS with multiple reaction monitoring (MRM) modes under positive ion electrospray ionization (ESI + ). The isotope dilution internal standard or external standard method was used for quantitation. The limits of quantification (LOQs, S/N  = 10) were 2 μg/kg (IMI, IMI-U, ACE, IM 2–1, DIN-UF, THIA, and TMX) and 5 μg/kg (IMI-O, DIN, CLO, and FLU) for milk; 2 μg/kg (ACE), 15 μg/kg (THIA, IM 2–1, DIN-UF, THIA, and TMX), and 40 μg/kg (IMI-U, IMI-O, DIN, CLO, and FLU) for infant formula milk powder. At three spiked levels of 5 μg/kg, 10 μg/kg, 50 μg/kg (milk), or 40 μg/kg, 80 μg/kg, 400 μg/kg (infant formula milk powder), the recoveries were in the range of 71.7–108.7% and 71.9–107.1%; the relative standard deviations were below 12.6% and 13.9%, respectively. This method was simple, rapid, and accurate to determine the neonicotinoids and their metabolites residues in milk and infant formula milk powder.

The aim of this study was to develop an analytical method for the accurate determination of the anthraquinone residue in tea samples (Pu’er tea, oolong tea, green tea, and black tea) by stable isotope dilution assay-gas chromatography-tandem mass spectrometry (SIDA-GC–MS/MS). Samples were purified by solid-phase extraction after extraction with n-hexane:acetone (1:1, v/v). The anthraquinone residue was then detected by selected reaction monitoring (SRM) in electron ionization mode. Anthraquinone-d8 was added in the tea sample extraction process to eliminate the matrix effect. The average recoveries were in the range of 84.2–98.1% at different spiked levels (0.02, 0.04 and 0.08 mg kg −1 ), and the relative standard deviations were below 9.7%. The limits of quantification, calculated as 10 times the standard deviation, was 0.02 mg kg −1 . The developed method is simple, rapid, and accurate to quantitate the concentration of anthraquinone residues in tea samples.

Natural enzymes as biological catalysts possess remarkable advantages,especially their highly efficient and selective catalysis under mild conditions.However,most natural enzymes are proteins,thus exhibiting an inherent low durability to harsh reaction conditions.Artificial enzyme mimetics have been pursued extensively to avoid this drawback.Quite recently,some inorganic nanoparticles（NPs） have been found to exhibit unique enzyme mimetics.In addition,their much higher stability overcomes the inherent disadvantage of natural enzymes.Furthermore,easy mass-production and low cost endow them more benefits.As a new member of artificial enzyme mimetics,they have received intense attention.In this review article,major progress in this field is summarized and future perspectives are highlighted.

Water and ion transport critically determine the performance of many functional materials and devices, from fuel cells to lithium ion batteries to soft mechanical actuators. This dissertation aims to address some fundamental issues regarding transport and anisotropy, structural heterogeneity and molecular interactions inside ionic polymers. I first discuss a main deficiency of a standard protocol for calibrating high pulsed-field-gradient NMR. I show that high gradient calibration using low γ nuclei is not amenable to measurements on slow diffusing high γ nuclei. Then I employ NMR diffusometry to investigate transport and anisotropy for a series of ionic polymers, from poly(arylene ether sulfone) hydrophilic-hydrophobic multi-block copolymers to polymer blends to perfluorosulfonate random copolymers. For the multi-block copolymers, NMR diffusion measurements yield diffusion anisotropy as a function of water uptake and block lengths. 2H NMR spectroscopy on absorbed D2O probes membrane alignment modes. These measurements also provide insights into average defect distributions. For the blend membranes, we examine the impact of compatibilizer on their transport properties. An increase in compatibilizer significantly improves the membrane phase homogeneity confirmed by SEM and transport studies. Theories of diffusion in porous media yield changes in domain size and tortuosity that correspond to drastic changes in local restrictions to water diffusion among different blend membranes. NMR relaxometry studies yield multi-component T1 values, which further probe structural heterogeneities on smaller scales than diffusion experiments. For the random copolymer, the exploration of ion transport reveals inter-ionic associations of ionic liquids (ILs) modulated by hydration level and ionic medium. When ILs diffuse inside ionic polymers, isolated anions diffuse faster (≥ 4X) than cations at high hydration whereas ion associations result in substantially faster cation diffusion (≤ 3X) at low hydration inside membranes, revealing prevalent anionic aggregates. Finally, I present the strategy and analytical protocol for studying ionomer membranes using ILs. The normal cation diffusion contrasts to the anomalous anion diffusion caused by local confinement structures inside the membranes, which vary drastically with temperature and hydration level. These structures correspond to a density variation of SO-3 groups , which define a distribution of local electrical potentials that fluctuate with temperature and nature of ionic media.

Crustacea, the subphylum of Arthropoda which dominates the aquatic environment, is of major importance in ecology and fisheries. Here we report the genome sequence of the Pacific white shrimp Litopenaeus vannamei , covering ~1.66 Gb (scaffold N50 605.56 Kb) with 25,596 protein-coding genes and a high proportion of simple sequence repeats (>23.93%). The expansion of genes related to vision and locomotion is probably central to its benthic adaptation. Frequent molting of the shrimp may be explained by an intensified ecdysone signal pathway through gene expansion and positive selection. As an important aquaculture organism, L. vannamei has been subjected to high selection pressure during the past 30 years of breeding, and this has had a considerable impact on its genome. Decoding the L. vannamei genome not only provides an insight into the genetic underpinnings of specific biological processes, but also provides valuable information for enhancing crustacean aquaculture. The Pacific white shrimp Litopenaeus vannamei is an important aquaculture species and a promising model for crustacean biology. Here, the authors provide a reference genome assembly, and show that gene expansion is involved in the regulation of frequent molting as well as benthic adaptation of the shrimp.

Metal halide perovskite solar cells have demonstrated a high power conversion efficiency (PCE), and further enhancement of the PCE requires a reduction of the bandgap-voltage offset (WOC) and the non-radiative recombination photovoltage loss (ΔVOC,nr). Here, we report an effective approach for reducing the photovoltage loss through the simultaneous passivation of internal bulk defects and dimensionally graded two-dimensional perovskite interface defects. Through this dimensionally graded perovskite formation approach, an open-circuit voltage (VOC) of 1.24 V was obtained with a champion PCE of 21.54% in a 1.63 eV perovskite system (maximum VOC = 1.25 V, WOC = 0.38 V and ΔVOC,nr = 0.10 V); we further decreased the WOC to 0.326 V in a 1.53 eV perovskite system with a VOC of 1.21 V and a PCE of 23.78% (certified 23.09%). This approach is equally effective in achieving a low WOC (ΔVOC,nr) in 1.56 eV and 1.73 eV perovskite solar cell systems, and further leads to the substantially improved operational stability of perovskite solar cells.The use of a dimensionally graded 2D perovskite interface and passivation results in perovskite solar cells with very low photovoltage loss.

The infraorder Brachyura (true or short-tailed crabs) represents a successful group of marine invertebrates yet with limited genomic resources. Here we report a chromosome-anchored reference genome and transcriptomes of the Chinese mitten crab Eriocheir sinensis , a catadromous crab and invasive species with wide environmental tolerance, strong osmoregulatory capacity and high fertility. We show the expansion of specific gene families in the crab, including F-ATPase, which enhances our knowledge on the adaptive plasticity of this successful invasive species. Our analysis of spatio-temporal transcriptomes and the genome of E. sinensis and other decapods shows that brachyurization development is associated with down-regulation of Hox genes at the megalopa stage when tail shortening occurs. A better understanding of the molecular mechanism regulating sexual development is achieved by integrated analysis of multiple omics. These genomic resources significantly expand the gene repertoire of Brachyura, and provide insights into the biology of this group, and Crustacea in general. Brachyurans, or crabs, are of commercial and ecological importance, but limited genomic resources exist. Here the authors present a chromosome-level genome and expression data for the Chinese mitten crab, to shed light on the biology of this group.

The Controller Area Network (CAN) protocol lacks native authentication mechanisms, exposing modern vehicles to critical security threats. While deep learning-based intrusion detection systems show promise, existing solutions require computational resources far exceeding automotive-grade microcontroller constraints, hindering practical embedded deployment. This paper proposes LCSMC-Net, an ultra-lightweight neural architecture for resource-constrained CAN intrusion detection. The framework integrates three innovations: (1) Separable Multiscale Convolution Lite (SMC-Lite) blocks capturing multitemporal attack patterns with minimal parameters; (2) Lightweight Channel-Temporal Attention (LCTA) achieving linear O(N) complexity through adaptive pruning; and (3) 6-dimensional CAN-optimized features exploiting protocol-specific characteristics for aggressive compression. The framework employs Bayesian hyperparameter optimization and knowledge distillation for systematic model compression. Extensive experiments on CAN and CAN-FD datasets demonstrate that LCSMC-Net achieves 99.89% accuracy with only 9401 parameters and 2.84M FLOPs, outperforming existing solutions while meeting real-time constraints of automotive embedded systems, providing a viable edge AI deployment solution.