再酯化甘油三酯型鱼油中不同结构酯的 含量及稳定性分析

再酯化甘油三酯（rTG）型鱼油是甘油三酯(TG)、甘油二酯(DG)、甘油一酯(MG)和乙酯(EE)的混合物。为了解rTG型鱼油不同结构酯的组成及其对产品稳定性的影响，采用高效液相色谱-示差折光检测器检测了来自国内外10个厂家的18个批次rTG型鱼油中不同结构油脂的含量，与天然TG型鱼油和EE型鱼油进行比较，并考察了TG含量对rTG型鱼油产品稳定性的影响。结果表明：rTG型鱼油中TG含量在52.17%~94.80%，其中只有4个批次样品高于90%，偏甘酯含量在4.96%~38.97%，EE含量在0.28%~13.10%，其中有7个批次样品EE含量超过了5%，不符合欧洲药典（EP10.3）要求；天然TG型鱼油的TG含量在97%以上，EE型鱼油的EE含量在99%以上；与TG含量低( 64.09%）的rTG型鱼油产品相比，TG含量高（90.80%）的rTG型鱼油产品酸值和过氧化值相对原料变化较小；加速氧化过程中，TG含量高的rTG型鱼油产品的酸值稳定,但TG含量低的rTG型鱼油产品酸值明显增高。rTG型鱼油产品的稳定性可能与TG含量有关，TG含量高的rTG型鱼油的稳定性比TG含量低的更好。Abstract：Re-esterified triglyceride (rTG) type fish oil is a mixture of triglycerides (TG), diglycerides (DG), monoglycerides (MG) and ethyl esters (EE). In order to learn about the distribution of different structural esters in rTG type fish oil and their effects on product stability, 18 batches of rTG type fish oil from 10 factories in domestic and abroad were collected, the contents of different structure esters were determined by HPLC-differential refractive index detector and compared to nature TG type fish oil and EE type fish oil, and effect of TG content on the stability of fish oil product was investigated. The results showed that the TG content in rTG type fish oil was 52.17%-94.80%, among which only 4 batches samples were higher than 90%. The content of partial glycerides ranged from 4.96% to 38.97%, and the EE content ranged from 028% to 13.10%, with 7 batches samples exceeding 5%, which did not meet the requirements of European Pharmacopoeia(EP10.3). The TG content in natural TG type fish oil was above 97%, and the EE content in EE type fish oil was above 99%. Compared with rTG type fish oil products with low TG content (64.09%), rTG type fish oil products with high TG content (90.80%) had relatively small changes in acid value and peroxide value compared to raw materials. During the accelerated oxidation process, the acid value of rTG type fish oil products with high TG content was stable, while the acid value of rTG type fish oil products with low TG content significantly increased. TG content may be related to the stability of rTG type fish oil, and rTG type fish oil with high TG content has better stability than rTG type fish oil with low TG content

A complex system health state assessment method with reference value optimization for interpretable BRB

Abstract Health condition assessment is the basis for formulating and optimizing maintenance strategies of complex systems, which is crucial for ensuring the safe and stable operation of these systems. In complex system health condition assessment, it is not only necessary for the model to handle various uncertainties to ensure the accuracy of assessment results, but also to have a transparent and reasonable assessment process and interpretable, traceable assessment results. belief rule base (BRB) has been widely used as an interpretable modeling method in health condition assessment. However, BRB-based models currently face two issues: (1) inaccuracies in expert-provided parameters that can affect the model's accuracy, and (2) after model optimization, interpretability may be reduced. Therefore, this paper proposes a new method for complex system health condition assessment called interpretable BRB with reference value optimization (I-BRB). Firstly, to address the issue of inaccurate reference values, a reference value optimization algorithm with interpretability constraints is designed, which optimizes the reference values without compromising expert knowledge. Secondly, the remaining parameters are optimized using the projection covariance matrix adaptation evolution strategy (P-CMA-ES) with interpretability constraints to improve the model's accuracy. Finally, a case study evaluating the bearing components of a flywheel system is conducted to validate the proposed method. Experimental results demonstrate that I-BRB achieves higher accuracy in health condition assessment

Identification and Determination of Seven Phenolic Acids in Brazilian Green Propolis by UPLC-ESI-QTOF-MS and HPLC

Brazilian green propolis is a complex mixture of natural compounds that is difficult to analyze and standardize; as a result, controlling its quality is challenging. In this study, we used the positive and negative modes of ultra-performance liquid chromatography coupled with electrospray ionization quadrupole time of flight mass spectrometry in conjunction with high-performance liquid chromatography for the identification and characterization of seven phenolic acid compounds in Brazilian green propolis. The optimal operating conditions for the electrospray ionization source were capillary voltage of 3500 V and drying and sheath gas temperatures of 320 °C and 350 °C, respectively. Drying and sheath gas flows were set to 8 L/min and 11 L/min, respectively. Brazilian green propolis was separated using the HPLC method, with chromatograms for samples and standards measured at 310 nm. UPLC-ESI-QTOF-MS was used to identify the following phenolic compounds: Chlorogenic acid, caffeic acid, isochlorogenic acid A, isochlorogenic acid B, isochlorogenic acid C, caffeic acid phenethyl ester (CAPE), and artepillin C. Using a methodologically validated HPLC method, the seven identified phenolic acids were then quantified among different Brazilian green propolis. Results indicated that there were no significant differences in the content of a given phenolic acid across different Brazilian green propolis samples, owing to the same plant resin sources for each sample. Isochlorogenic acid B had the lowest content (0.08 ± 0.04) across all tested Brazilian green propolis samples, while the artepillin C levels were the highest (2.48 ± 0.94). The total phenolic acid content across Brazilian green propolis samples ranged from 2.14−9.32%. Notably, artepillin C quantification is an important factor in determining the quality index of Brazilian green propolis; importantly, it has potential as a chemical marker for the development of better quality control methods for Brazilian green propolis

Borate Anion Dopant Inducing Oxygen Vacancies over Co3O4 Nanocages for Enhanced Oxygen Evolution

The rational design of cost effective and highly efficient oxygen evolution reaction (OER) catalysts plays an extremely important role in promoting the commercial applications of electrochemical water splitting. Herein we reported a sacrificial template strategy for the preparation of borate anion doped Co3O4@ZIF-67 nanocages assembled with nanosheets (B-Co3O4@ZIF-67) by hydrothermal boronation of zeolitic imidazolate framework-67 (ZIF-67). During the preparation process, two different kinds of borate anion sources were found to regulate the morphological structures by tuning the etching rate between ZIF precursors and the borate anion. Moreover, borate anion doping was also found to induce oxygen vacancy defects, which is beneficial for modulating the electronic structure and accelerating electron transport. Meanwhile, the resultant B-Co3O4@ZIF-67 nanocages possess a large specific surface area, which is beneficial for the mass transfer of the electrolyte and exposing more catalytic active sites. Benefiting from the advantages above, the resultant B-Co3O4@ZIF-67 nanocages exhibit impressive OER performance with a small overpotential of 334 mV, a current density of 10 mA cm−2, a small Tafel slope of 73.88 mV dec−1, as well as long-term durability in an alkaline electrolyte

Acute Hypoxia Stress-Induced Apoptosis in Gill of Japanese Flounder (Paralichthys olivaceus) by Modulating the Epas1/Bad Pathway

The physiological responses and molecular mechanisms of apoptosis in Japanese flounder under hypoxic stress remain unclear. In the present study, we performed acute hypoxia stress on Japanese flounder (2.39 ± 0.84 mg/L) and detected gills responses in histomorphology and molecular mechanisms. The results showed that the volume of the interlamellar cell mass decreased and the gill lamellae prolonged, indicating the expansion of the respiratory surface area. Additionally, the fluorescence signal of apoptosis increased under hypoxic stress. In addition, the expression of two genes (EPAS1 and Bad) related to apoptosis increased about four-fold and two-fold, respectively, at 6 h of hypoxia. Meanwhile, the result of the dual-luciferase reporter assay showed that EPAS1 is a transcription factor, which could regulate (p < 0.05) the expression of the Bad gene, and we identified the binding site of EPAS1 was the AATGGAAAC sequence located near −766. DNA methylation assay showed that hypoxia affected the methylation status of CpG islands of EPAS1 and Bad genes. All results indicated that hypoxia could activate the EPAS1/Bad signal pathway to induce gill apoptosis of Japanese flounder. Our study provides new light on understanding the molecular mechanism of hypoxia-induced apoptosis in Japanese flounder

UAV Remote Sensing Image Automatic Registration Based on Deep Residual Features

With the rapid development of unmanned aerial vehicle (UAV) technology, UAV remote sensing images are increasing sharply. However, due to the limitation of the perspective of UAV remote sensing, the UAV images obtained from different viewpoints of a same scene need to be stitched together for further applications. Therefore, an automatic registration method of UAV remote sensing images based on deep residual features is proposed in this work. It needs no additional training and does not depend on image features, such as points, lines and shapes, or on specific image contents. This registration framework is built as follows: Aimed at the problem that most of traditional registration methods only use low-level features for registration, we adopted deep residual neural network features extracted by an excellent deep neural network, ResNet-50. Then, a tensor product was employed to construct feature description vectors through exacted high-level abstract features. At last, the progressive consistency algorithm (PROSAC) was exploited to remove false matches and fit a geometric transform model so as to enhance registration accuracy. The experimental results for different typical scene images with different resolutions acquired by different UAV image sensors indicate that the improved algorithm can achieve higher registration accuracy than a state-of-the-art deep learning registration algorithm and other popular registration algorithms

Urchin-Like Structured MoO2/Mo3P/Mo2C Triple-Interface Heterojunction Encapsulated within Nitrogen-Doped Carbon for Enhanced Hydrogen Evolution Reaction

The development of highly efficient and cost-effective hydrogen evolution reaction (HER) catalysts is highly desirable to efficiently promote the HER process, especially under alkaline condition. Herein, a polyoxometalates-organic-complex-induced carbonization method is developed to construct MoO2/Mo3P/Mo2C triple-interface heterojunction encapsulated into nitrogen-doped carbon with urchin-like structure using ammonium phosphomolybdate and dopamine. Furthermore, the mass ratio of dopamine and ammonium phosphomolybdate is found critical for the successful formation of such triple-interface heterojunction. Theoretical calculation results demonstrate that such triple-interface heterojunctions possess thermodynamically favorable water dissociation Gibbs free energy (ΔGH2O) of -1.28 eV and hydrogen adsorption Gibbs free energy (ΔGH*) of -0.41 eV due to the synergistic effect of Mo2C and Mo3P as water dissociation site and H* adsorption/desorption sites during the HER process in comparison to the corresponding single components. Notably, the optimal heterostructures exhibit the highest HER activity with the low overpotential of 69 mV at the current density of 10 mA cm−2 and a small Tafel slope of 60.4 mV dec−1 as well as good long-term stability for 125 h. Such remarkable results have been theoretically and experimentally proven to be due to the synergistic effect between the unique heterostructures and the encapsulated nitrogen-doped carbon

Noble gases in pyrites from the Guocheng-Liaoshang gold belt in the Jiaodong province: evidence for a mantle source of gold

The recent mineral exploration programme (2009–2014) in the Jiaodong gold province identified the new Guocheng-Liaoshang gold metallogenic belt which contains reserves of 92 tonnes (t) Au. In the main deposits the ore is fault-hosted in massive sulfides that make up to 25 to 95 vol%. The He-Ar isotope compositions of ore-forming fluids from 20 pyrite samples from the five main deposits are reported here. 3He/4He range between 0.41 and 2.39 Ra, 40Ar/36Ar are 367 to 2112 and 40Ar⁎/4He are 0.40–3.78. The data require four gas sources; a dominant mantle-derived component plus sub-ordinate crustal radiogenic, meteoric and basin brine components. The mantle end-member has 3He/4He (3.32–4.00 Ra). This is lower than most estimates for sub-continental lithospheric mantle (SCLM: 6–7 Ra), implying that it was probably refertilized by subduction-related fluid metasomatism. This is consistent with He-Ar isotopes reported for SCLM xenoliths from basalts in the Shandong Province. Within the mineralisation province, the mine Au reserve is positively correlated with the proportion of mantle-derived He in the ore-forming fluids. This implies that the fluids, and by inference the gold, was largely derived from mantle melts during lithospheric extension. Given the conspicuous association of gold ore deposits with mantle-derived magma in the Jiaodong Peninsula, we envisage that our genetic model can be applied, to some extent, to evaluate the potential of some mineral exploration targets

Additional file 1 of Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours

Additional file 1: Table S1. The baseline characteristics of task 1. Table S2. The baseline characteristics of task 2 [30]