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Mingxia Yu,Huosheng Li,Keke Li,Yuting Li,Fengli Liu,Gaosheng Zhang,Tangfu Xiao,Ping Zhang,Hongguo Zhang,Jianyou Long 한국섬유공학회 2022 Fibers and polymers Vol.23 No.2
Decolorization and organic degradation of wastewater containing multiple dyes are still challenging inwastewater treatment. Magnetic biochar coupled with advanced oxidation is a potential solution to this issue. In this study,a series of magnetite-based biochar composites (Fe3O4@C) was prepared and compared for the removal of mixed dyes,including methyl orange (MO), rhodamine B (RhB), methylene blue (MB), and an organic macromolecule, humic acid(HA). The pyrolysis of watermelon rinds followed by precipitation of Fe3O4 onto the biochar was selected as the optimummethod to prepare an adsorbent and catalyst to couple binary oxidants (hypochlorite and persulfate) for color and totalorganic carbon removal. Persulfate was prone to degrade HA and MB, while hypochlorite was inclined to oxidize MO andRhB. Fe3O4@C exhibited better dye removal performance in coupling with binary oxidants than with a single oxidant. Formixed dye solutions with an initial concentration of 50 mg/l for each dye, the highest TOC (57.24±3.17 %) and the colorremoval efficiencies (94.13±1.68 %) for the mixed dye solution were achieved at a sorbent dosage of 1 g/l and an oxidantdosage of 5 mmol/l for both hypochlorite and persulfate. Multiple free radicals, including hydroxyl radicals, sulfateradicals, and hypochlorite-induced radicals, play critical roles in the degradation of mixed dyes and color removal. Theregeneratibility and reutilization of the magnetic Fe3O4@C composite were effective and stable. The results obtained inthis study show that the combined Fe3O4@C and binary oxidants technique is promising for the treatment of multi-dyewastewater.
Mengmeng Li,Mengqi Sun,Wei Ren,Limin Man,Wenqiong Chai,Guiqin Liu,Mingxia Zhu,Changfa Wang 한국축산식품학회 2024 한국축산식품학회지 Vol.44 No.1
Volatile compounds (VOCs) are an important factor affecting meat quality. However, the characteristic VOCs in different parts of donkey meat remain unknown. Accordingly, this study represents a preliminary investigation of VOCs to differentiate between different cuts of donkey meat by using headspace–gas chromatography–ion mobility spectrometry (HS–GC–IMS) combined with chemometrics analysis. The results showed that the 31 VOCs identified in donkey meat, ketones, alcohols, aldehydes, and esters were the predominant categories. A total of 10 VOCs with relative odor activity values ≥1 were found to be characteristic of donkey meat, including pentanone, hexanal, nonanal, octanal, and 3-methylbutanal. The VOC profiles in different parts of donkey meat were well differentiated using three- and two-dimensional fingerprint maps. Nine differential VOCs that represent potential markers to discriminate different parts of donkey meat were identified by chemometrics analysis. These include 2-butanone, 2- pentanone, and 2-heptanone. Thus, the VOC profiles in donkey meat and specific VOCs in different parts of donkey meat were revealed by HS–GC–IMS combined with chemometrics, whcih provided a basis and method of investigating the characteristic VOCs and quality control of donkey meat.
Design of a remote expert system platform for device-dependent
Ying Lu,Mingxia Li 한국멀티미디어학회 2006 한국멀티미디어학회 국제학술대회 Vol.2006 No.-
This paper introduce the design of a remote expert system platform for device-dependent which provides an automatic equipment fault diagnosis with remote communication on time. The platform improves the accurate of automatic equipment fault diagnosis by two layer structure of three topic expert system database and fuzzy algorithm with artificial neural network.
Hierarchical Saliency: A New Salient Target Detection Framework
Bin Chen,Xuezhuan Zhao,Lishen Pei,Tao Li,Mingxia Li 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.1
Simulating the shift character of visual attention, we propose a novel concept of hierarchical saliencyand develop a detection framework. First, a given image is over-segmented into coarse and fine layers whichrespond to two scale superpixels. Then, we estimate the saliency maps from coarse to fine. In the coarse layer, wepresent a new self-adaptive algorithm to construct the superpixels graph, employing the manifold ranking approachto optimize it. In the fine layer, sparse reconstruction is used to obtain the saliency regions. At last, we proposea Restricted Voting Strategy (RVS) to fuse two layer saliency maps into one hierarchical saliency map. Differentfrom the prior methods, the targets of the final map are labeled layer-wise. The final result can be directly applied tomore high-level computer vision tasks in various situations. For the requirement of hierarchical saliency evaluation,we construct the CAS-HAS dataset. We exhaustively evaluate the framework on the proposed data set and threebenchmark data sets. The experiment performance is comparable with the sate-of-the-art approaches.
A Comprehensive Review of Lipidomics and Its Application to Assess Food Obtained from Farm Animals
Yinghua Song,Changyun Cai,Yingzi Song,Xue Sun,Baoxiu Liu,Peng Xue,Mingxia Zhu,Wenqiong Chai,Yonghui Wang,Changfa Wang,Mengmeng Li 한국축산식품학회 2022 한국축산식품학회지 Vol.42 No.1
Lipids are one of the major macronutrients essential for adequate growth and maintenance of human health. Their structure is not only complex but also diverse, which makes systematic and holistic analyses challenging; consequently, little is known regarding the relationship between phenotype and mechanism of action. In recent years, rapid advancements have been made in the fields of lipidomics and bioinformatics. In comparison with traditional approaches, mass spectrometry-based lipidomics can rapidly identify as well as quantify >1,000 lipid species at the same time, facilitating comprehensive, robust analyses of lipids in tissues, cells, and body fluids. Accordingly, lipidomics is now being widely applied in various fields, particularly food and nutrition science. In this review, we discuss lipid classification, extraction techniques, and detection and analysis using lipidomics. We also cover how lipidomics is being used to assess food obtained from livestock and poultry. The information included herein should serve as a reference to determine how to characterize lipids in animal food samples, enhancing our understanding of the application of lipidomics in the field in animal husbandry.