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| 1 | Advances in xylooligosaccharides from grain byproducts:Extraction and prebiotic effects显示文摘Xylooligosaccharides(XOS)are mainly derived from lignocellulosic materials,such as rice husk,corn cobs,straw,wheat bran,wheat straw and other grain by-products.XOS have become one of the functional oligosaccharides of great concern at home and abroad due to their beneficial functional properties,such as low calorie,high stability,poor digestibility and high performance in proliferating probiotics.At present,the XOS extraction methods from grain byproducts mainly include autohydrolysis,acidolysis and enzymolysis.Among them,autohydrolysis has high requirements for equipment for achieving higher extraction rate and higher purity of products;and acidolysis can cause environmental pollution due to the usage of harmful reagents.Enzymolysis is the most common method for the production of XOS because of its high convenience,high efficiency and no pollution;and the widely used enzyme is the xylanase from Aspergillus niger.Current researches have showed that XOS can be utilized by probiotics such as Bifidobacteria and Lactobacillus to exert prebiotic effects,such as optimizing intestinal flora,promoting intestinal health,improving intestinal barrier,enhancing immune function,improving antioxidant capacity and so on.However,XOS extracted from the grain byproducts contain a large amount of impurities,which limits their industrial application and makes it dif-ficult to control the product quality.Therefore,XOS refining,separation and purification has become the key to their subsequent industrial application.This paper reviewed the current status of XOS extraction technologies from various grain by-products,and also summarized the prebiotic effect of XOS to provide reference for industrial production of XOS and its wide application in prebiotics market,thereby facilitating utilization and development of grain byproducts. | Feng Yan Shuangqi Tian Hu Chen Sensen Gao Xianyou Dong Ke Du | 2022 | Grain & Oil Science and Technology2022，5，2： | 1 |
| 2 | An improved deadbeat scheme with fuzzy controller for the grid-side three-phase PWM boost rectifier显示文摘 | HANG Lijun LIU Sensen YAN Gang | 2011 | IEEE Trans Power Electron2011，26，4： | 1 |
| 3 | Assessing the conservation impact of Chinese indigenous chicken populations between ex-situ and in-situ using genome-wide SNPs显示文摘Conservation programs require rigorous evaluation to ensure the preservation of genetic diversity and viability of conservation populations. In this study, we conducted a comparative analysis of two indigenous Chinese chicken breeds, Gushi and Xichuan black-bone, using whole-genome SNPs to understand their genetic diversity, track changes over time and population structure. The breeds were divided into five conservation populations(GS1, 2010, ex-situ;GS2, 2019, ex-situ;GS3, 2019, in-situ;XB1, 2010, in-situ;and XB2, 2019, in-situ) based on conservation methods and generations. The genetic diversity indices of three conservation populations of Gushi chicken showed consistent trends, with the GS3 population under in-situ strategy having the highest diversity and GS2 under ex-situ strategy having the lowest. The degree of inbreeding of GS2 was higher than that of GS1 and GS3. Conserved populations of Xichuan black-bone chicken showed no obvious changes in genetic diversity between XB1 and XB2. In terms of population structure, the GS3 population were stratified relative to GS1 and GS2. According to the conservation priority, GS3 had the highest contribution to the total gene and allelic diversity in GS breed, whereas the contribution of XB1 and XB2 were similar. We also observed that the genetic diversity of GS2 was lower than GS3, which were from the same generation but under different conservation programs(in-situ and ex-situ). While XB1 and XB2 had similar levels of genetic diversity. Overall, our findings suggested that the conservation programs performed in ex-situ could slow down the occurrence of inbreeding events, but could not entirely prevent the loss of genetic diversity when the conserved population size was small, while in-situ conservation populations with large population size could maintain a relative high level of genetic diversity. | Wenting Li Chaoqun Gao Zhao Cai Sensen Yan Yanru Lei Mengya Wei Guirong Sun Yadong Tian Kejun Wang Xiangtao Kang | 2024 | Journal of Integrative Agriculture2024，23，3： | 0 |
| 4 | Complementary multicolor electrochromic devices with excellent stability based on porous tin oxide nanosheet scaffold显示文摘Electrochromic devices(ECDs)have been extensively investigated as promising candidates in broad cutting-edge applications,such as smart windows,electronic labels,adaptive camouflage,etc.However,they have suffered from either inadequate color variations or poor cycling stability for a long time.Herein,we developed a general strategy to boost the cyclic stability and enrich the color variations of ECDs by scrupulous design of the composition and nanostructure of electrodes,in which porous tin oxide(SnO_(2))nanosheets serve as the scaffold and typical metal oxides or conducting polymers as the active electrochromic materials.Various electrochromic composite materials,including polyaniline(PANI)@SnO_(2),V2O5@SnO_(2),and WO_(3)@SnO_(2) heterostructured nanoarrays were prepared by the facile wet-chemical method.These composite electrodes exhibit remarkable electrochromic performances,e.g.,superior cycling stability(more than 2000 cycles),rich color variations(more than 5 colors for PANI@SnO_(2)),and enlarged optical modulation.These excellent performances account for the heterogenous porous nanoarrays,which not only facilitate the intercalation/extraction of ions but also relieve the stress generated during the electrochemical process.In addition,diverse prototypes of complementary multicolor ECD with excellent cycling stability(over thousands of cycles)and rich color variations(8 colors)were realized for the first time.We believe that our work put forward a general strategy for developing high-quality multicolor complementary electrochromic devices. | Chenchen Bian Jinhui Wang Huanhuan Liu Yin Yan Ping Zhang Weilong Yang Sensen Jia Xiaodan Guo Guofa Cai | 2024 | Nano Research2024，17，4： | 0 |
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