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| 1 | The Tartary Buckwheat Genome Provides Insights into Rutin Biosynthesis and Abiotic Stress Tolerance显示文摘 | Zhang, Lijun Li, Xiuxiu Ma, Bin Gao, Qiang Du, Huilong Han, Yuanhuai Li, Yan Cao, Yinghao Qi, Ming Zhu, Yaxin Lu, Hongwei Ma, Mingchuan Liu, Longlong Zhou, Jianping Nan, Chenghu Qin, Yongjun Wang, Jun Cui, Lin Liu, Huimin Liang, Chengzhi Qiao, Zhijun | 2017 | Molecular Plant2017，10，9： | 53 |
| 2 | The Chromosome-Level Genome Sequence of the Autotetraploid Alfalfa and Resequencing of Core Germplasms Provide Genomic Resources for Alfalfa Research显示文摘Alfalfa(Medicago sativa)is one of the most important forage crops in the world;however,its molecular genetics and breeding research are hindered due to the lack of a high-quality reference genome.Here,we report a de novo assembled 816-Mb high-quality,chromosome-level haploid genome sequence for‘Zhongmu No.1’alfalfa,a heterozygous autotetraploid.The contig N50 is 3.92 Mb,and 49165 genes are annotated in the genome.The alfalfa genome is estimated to have diverged from M.truncatula approximately 8 million years ago.Genomic population analysis of 162 alfalfa accessions revealed high genetic diversity,weak population structure,and extensive gene flow from wild to cultivated alfalfa.Genome-wide association studies identified many candidate genes associated with important agronomic traits.Furthermore,we showed that MsFTa2,a Flowering Locus T homolog,whose expression is upregulated in salt-resistant germplasms,may be associated with fall dormancy and salt resistance.Taken together,these genomic resources will facilitate alfalfa genetic research and agronomic improvement. | Chen Shen Huilong Du Zhuo Chen Hongwei Lu Fugui Zhu Hong Chen Xiangzhao Meng Qianwen Liu Peng Liu Lihua Zheng Xiuxiu Li Jiangli Dong Chengzhi Liang Tao Wang | 2020 | Molecular Plant2020，13，9： | 21 |
| 3 | Analysis of genetic architecture and favorable allele usage of agronomic traits in a large collection of Chinese rice accessions显示文摘Genotyping and phenotyping large natural populations provide opportunities for population genomic analysis and genome-wide association studies(GWAS). Several rice populations have been re-sequenced in the past decade;however, many major Chinese rice cultivars were not included in these studies. Here, we report large-scale genomic and phenotypic datasets for a collection mainly comprised of 1,275 rice accessions of widely planted cultivars and parental hybrid rice lines from China. The population was divided into three indica/Xian and three japonica/Geng phylogenetic subgroups that correlate strongly with their geographic or breeding origins. We acquired a total of 146 phenotypic datasets for 29 agronomic traits under multi-environments for different subpopulations. With GWAS, we identified a total of 143 significant association loci, including three newly identified candidate genes or alleles that control heading date or amylose content. Our genotypic analysis of agronomically important genes in the population revealed that many favorable alleles are underused in elite accessions, suggesting they may be used to provide improvements in future breeding efforts. Our study provides useful resources for rice genetics research and breeding. | Xiuxiu Li Zhuo Chen Guomin Zhang Hongwei Lu Peng Qin Ming Qi Ying Yu Bingke Jiao Xianfeng Zhao Qiang Gao Hao Wang Yunyu Wu Juntao Ma Liyan Zhang Yongli Wang Lingwei Deng Shanguo Yao Zhukuang Cheng Diqiu Yu Lihuang Zhu Yongbiao Xue Chengcai Chu Aihong Li Shigui Li Chengzhi Liang | 2020 | Science China(Life Sciences)2020，63，11： | 8 |
| 4 | Update soybean Zhonghuang 13 genome to a golden reference显示文摘Dear Editor,Soybean is one of the most important crops worldwide.A high-quality reference genome will facilitate its functional analysis and molecular breeding (Wang and Tian,2015).Previously,we de novo assembled a high-quality Chinese soybean genome Gmax_ZH13 (Shen et al.,2018,Yang and Huang,2018).However,due to technical limitations at the time when we generated Gmax_ZH13,a large number of small contigs were not anchored onto chromosomes.Therefore,we here build a new golden reference genome for Zhonghuang 13 consisting of 20 nearly complete chromosomes by adding more single-molecule real time (SMRT) sequencing reads.Furthermore,we add large RNA-seq and smRNA-seq datasets for improving the annotation of its protein coding genes. | Yanting Shen Huilong Du Yucheng Liu Lingbin Ni Zheng Wang Chengzhi Liang Zhixi Tian | 2019 | Science China(Life Sciences)2019，62，9： | 6 |
| 5 | Comparative genomic and transcriptomic analyses uncover the molecular basis of high nitrogen-use efficiency in the wheat cultivar Kenong 9204显示文摘Studying the regulatory mechanisms that drive nitrogen-use efficiency(NUE)in crops is important for sustainable agriculture and environmental protection.In this study,we generated a high-quality genome assembly for the high-NUE wheat cultivar Kenong 9204 and systematically analyzed genes related to nitrogen uptake and metabolism.By comparative analyses,we found that the high-affinity nitrate transporter gene family had expanded in Triticeae.Further studies showed that subsequent functional differentiation endowed the expanded family members with saline inducibility,providing a genetic basis for improving the adaptability of wheat to nitrogen deficiency in various habitats.To explore the genetic and molecular mechanisms of high NUE,we compared genomic and transcriptomic data from the high-NUE cultivar Kenong 9204(KN9204)and the low-NUE cultivar Jing 411 and quantified their nitrogen accumulation under high-and low-nitrogen conditions.Compared with Jing 411,KN9204 absorbed significantly more nitrogen at the reproductive stage after shooting and accumulated it in the shoots and seeds.Transcriptome data analysis revealed that nitrogen deficiency clearly suppressed the expression of genes related to cell division in the young spike of Jing 411,whereas this suppression of gene expression was much lower in KN9204.In addition,KN9204 maintained relatively high expression of NPF genes for a longer time than Jing 411 during seed maturity.Physiological and transcriptome data revealed that KN9204 was more tolerant of nitrogen deficiency than Jing 411,especially at the reproductive stage.The high NUE of KN9204 is an integrated effect controlled at different levels.Taken together,our data provide new insights into the molecular mechanisms of NUE and important gene resources for improving wheat cultivars with a higher NUE trait. | Xiaoli Shi Fa Cui Xinyin Han Yilin He Long Zhao Na Zhang Hao Zhang Haidong Zhu Zhexin Liu Bin Ma Shusong Zheng Wei Zhang Jiajia Liu Xiaoli Fan Yaoqi Si Shuiquan Tian Jianqing Niu Huilan Wu Xuemei Liu Zhuo Chen Deyuan Meng Xiaoyan Wang Liqiang Song Lijing Sun Jie Han Hui Zhao Jun Ji Zhiguo Wang Xiaoyu He Ruilin Li Xuebin Chi Chengzhi Liang Beifang Niu Jun Xiao Junming Li Hong-Qing Ling | 2022 | Molecular Plant2022，15，9： | 6 |
| 6 | Evolution and Domestication Footprints Uncovered from the Genomes of Coix显示文摘Coix lacryma-jobi,a plant species closely related to Zea and Sorghum,is an important food and medicinal crop in Asia.However,no reference genome of this species has been reported,and its exact phylogeny within the Andropogoneae remains unresolved.Here,we generated a high-quality genome assembly of coix comprising~1.73 Gb with 44485 predicted protein-coding genes.We found coix to be a typical diploid plant with an overall 1-to-1 syntenic relationship with the Sorghum genome,despite its drastic genome expansion(~2.3-fold)due mainly to the activity of transposable elements.Phylogenetic analysis revealed that coix diverged with sorghum~10.41 million years ago,which was~1.49 million years later than the divergence between sorghum and maize.Resequencing of 27 additional coix accessions revealed that they could be unambiguously separated into wild relatives and cultivars,and suggested that coix experienced a strong genetic bottleneck,resulting in the loss of about half of the genetic diversity during domestication,even though many traits have remained undomesticated.Our data not only provide novel comparative genomic and evolutionary insights into the Andropogoneae lineage,but also an important resource that will greatly benefit molecular breeding of this important crop. | Hongbing Liu Junpeng Shi Zexi Cai Yumin Huang Menglu Lv Huilong Du Qiang Gao Yi Zuo Zhaobin Dong Wei Huang Rui Qin Chengzhi Liang Jinsheng Lai Weiwei Jin | 2020 | Molecular Plant2020，13，2： | 4 |
| 7 | A chromosome-level genome assembly of the wild rice Oryza rufipogon facilitates tracing the origins of Asian cultivated rice显示文摘Oryza rufipogon Griff.is a wild progenitor of the Asian cultivated rice Oryza sativa.To better understand the genomic diversity of the wild rice,high-quality reference genomes of O.rufipogon populations are needed,which also facilitate utilization of the wild genetic resources in rice breeding.In this study,we generated a chromosome-level genome assembly of O.rufipogon using a combination of short-read sequencing,single-molecule sequencing,BioNano and Hi-C platforms.The genome sequence(399.8 Mb)was assembled into 46 scaffolds on the 12 chromosomes,with contig N50 and scaffold N50 of 13.2 Mb and 20.3 Mb,respectively.The genome contains 36,520 protein-coding genes,and 49.37% of the genome consists of repetitive elements.The genome has strong synteny with those of the O.sativa subspecies indica and japonica,but containing some large structural variations.Evolutionary analysis unveiled the polyphyletic origins of O.sativa,in which the japonica and indica genome formations involved different divergent O.rufipogon(including O.nivara)lineages,accompanied by introgression of genomic regions between japonica and indica.This high-quality reference genome provides insight on the genome evolution of the wild rice and the origins of the O.sativa subspecies,and valuable information for basic research and rice breeding. | Xianrong Xie Huilong Du Huiwu Tang Jianian Tang Xiyu Tan Weizhi Liu Tie Li Zhansheng Lin Chengzhi Liang Yao-Guang Liu | 2021 | Science China(Life Sciences)2021，64，2： | 4 |
| 8 | Soil property mapping by combining spatial distance information into the Soil Land Inference Model(SoLIM)显示文摘The Soil Land Inference Model(SoLIM) was primarily proposed by Zhu et al.(Zhu A X, Band L, Vertessy R, Dutton B. 1997. Derivation of soil properties using a soil land inference model(SoLIM). Soil Sci Soc Am J. 61: 523–533.) and was based on the Third Law of Geography. Based on the assumption that the soil property value at a location of interest will be more similar to that of a given soil sample when the environmental condition at the location of interest is more similar to that at the location from which the sample was taken, SoLIM estimates the soil property value of the location of interest using the soil property values of known samples weighted by the similarity between those samples and the location of interest in terms of an attribute domain of environmental conditions. However, the current SoLIM method ignores information about the spatial distances between the location of interest and those of the sample. In this study, we proposed a new method of soil property mapping, So LIM-IDW, which incorporates spatial distance information into the SoLIM method by means of inverse distance weighting(IDW). The proposed method is based on the assumption that the soil property value at a location of interest will be more similar to that of a known sample both when the environmental conditions are more similar and when the distance between the location of interest and the sample location is shorter. Our evaluation experiments on A-horizon soil organic matter mapping in two study areas with independent evaluation samples showed that the proposed SoLIM-IDW method can obtain lower prediction errors than the original SoLIM method, multiple linear regression, geographically weighted regression, and regression-kriging with the same modeling points. Future work mainly includes the determination of optimal power parameter values and the appropriate setting of the parameter under different application contexts. | Chengzhi QIN Yiming AN Peng LIANG Axing ZHU Lin YANG | 2021 | Pedosphere2021，31，4： | 3 |
| 9 | Single-shot spectral-volumetric compressed ultrafast photography显示文摘In ultrafast optical imaging,it is critical to obtain the spatial structure,temporal evolution,and spectral composition of the object with snapshots in order to better observe and understand unrepeatable or irreversible dynamic scenes.However,so far,there are no ultrafast optical imaging techniques that can simultaneously capture the spatial–temporal–spectral five-dimensional(5D)information of dynamic scenes.To break the limitation of the existing techniques in imaging dimensions,we develop a spectral-volumetric compressed ultrafast photography(SV-CUP)technique.In our SV-CUP,the spatial resolutions in the x,y and z directions are,respectively,0.39,0.35,and 3 mm with an 8.8 mm×6.3 mm field of view,the temporal frame interval is 2 ps,and the spectral frame interval is 1.72 nm.To demonstrate the excellent performance of our SV-CUP in spatial–temporal–spectral 5D imaging,we successfully measure the spectrally resolved photoluminescent dynamics of a 3D mannequin coated with CdSe quantum dots.Our SV-CUP brings unprecedented detection capabilities to dynamic scenes,which has important application prospects in fundamental research and applied science. | Pengpeng Ding Yunhua Yao Dalong Qi Chengshuai Yang Fengyan Cao Yilin He Jiali Yao Chengzhi Jin Zhengqi Huang Li Deng Lianzhong Deng Tianqing Jia Jinyang Liang Zhenrong Sun Shian Zhang | 2021 | Advanced Photonics2021，3，4： | 3 |
| 10 | Oryza pan-genomics: A new foundation for future rice research and improvement显示文摘The wild rice species in the genus Oryza harbor a large amount of genetic diversity that has been untapped for rice improvement.Pan-genomics has revolutionized genomic research in plants.However,rice pan-genomic studies so far have been limited mostly to cultivated accessions,with only a few close wild relatives.Advances in sequencing technologies have permitted the assembly of highquality rice genome sequences at low cost,making it possible to construct genus-level pan-genomes across all species.In this review,we summarize progress in current research on genetic and genomic resources in Oryza,and in sequencing and computational technologies used for rice genome and pangenome construction.For future work,we discuss the approaches and challenges in the construction of,and data access to,Oryza pan-genomes based on representative high-quality genome assemblies.The Oryza pan-genomes will provide a basis for the exploration and use of the extensive genetic diversity present in both cultivated and wild rice populations. | Chao Huang Zhuo Chen Chengzhi Liang | 2021 | The Crop Journal2021，9，3： | 2 |
| 11 | High-fidelity image reconstruction for compressed ultrafast photography via an augmented-Lagrangian and deep-learning hybrid algorithm显示文摘Compressed ultrafast photography(CUP) is the fastest single-shot passive ultrafast optical imaging technique,which has shown to be a powerful tool in recording self-luminous or non-repeatable ultrafast phenomena.However, the low fidelity of image reconstruction based on the conventional augmented-Lagrangian(AL)and two-step iterative shrinkage/thresholding(Tw IST) algorithms greatly prevents practical applications of CUP, especially for those ultrafast phenomena that need high spatial resolution. Here, we develop a novel AL and deep-learning(DL) hybrid(i.e., AL+DL) algorithm to realize high-fidelity image reconstruction for CUP. The AL+DL algorithm not only optimizes the sparse domain and relevant iteration parameters via learning the dataset but also simplifies the mathematical architecture, so it greatly improves the image reconstruction accuracy. Our theoretical simulation and experimental results validate the superior performance of the AL+DL algorithm in image fidelity over conventional AL and Tw IST algorithms, where the peak signalto-noise ratio and structural similarity index can be increased at least by 4 d B(9 d B) and 0.1(0.05) for a complex(simple) dynamic scene, respectively. This study can promote the applications of CUP in related fields, and it will also enable a new strategy for recovering high-dimensional signals from low-dimensional detection. | CHENGSHUAI YANG YUNHUA YAO CHENGZHI JIN DALONG QI FENGYAN CAO YILIN HE JIALI YAO PENGPENG DING LIANG GAO TIANQING JIA JINYANG LIANG ZHENRONG SUN SHIAN ZHANG | 2021 | Photonics Research2021，9，2： | 2 |
| 12 | Sensitivity of on-line wavelength during retrieval of atmospheric CO2 vertical profile显示文摘Accurately measuring the differential molecular absorption cross section is the key to obtaining a high-precision concentration of atmospheric trace gases in a differential absorption lidar(DIAL) system. However, the CO2 absorption line is meticulous at 1.6 μm, easily translating and broadening because of the change of temperature and pressure. Hence, measuring the vertical profile of atmospheric temperature and pressure to calculate the vertical profile of the CO2 weight parameter is necessary. In general, measuring atmospheric temperature and pressure has a certain amount of uncertainty. Therefore, this study proposes the concept of a balanced on-line wavelength,where the differential molecular absorption cross section is larger and the CO2 weight parameter is insensitive to the uncertainty of atmospheric temperature and pressure. In this study, we analyzed the influence of uncertainty on the CO2 weight parameter at every preselected wavelength, as well as determined an appropriate wavelength near one of the absorption peaks. Our result shows that 1572.023 nm should be one of the appropriate balanced online wavelengths. The measurement errors of the mixing ratio of CO2 molecule in this wavelength are only 0.23%and 0.25% and are caused by 1 K temperature error and 1h Pa pressure error, respectively. This achievement of a balanced on-line wavelength will not only depress the requirement of the laser’s frequency stabilization but also the demand for measurement precision of the atmospheric temperature and pressure profile. Furthermore, this study can achieve the exact measurement of the vertical profile of atmospheric CO2 based on an independent differential absorption laser. | Wei Gong Ailin Liang Ge Han Xin Ma Chengzhi Xiang | 2015 | Photonics Research2015，3，4： | 2 |
| 13 | Evaluating the therapeutic effect of hepatocellular carcinoma treated with transcatheter arterial chemoembolization by magnetic resonance perfusion imaging显示文摘 | Xiangyu Chen Enhua Xiao Dianshuang Shu Chengzhi Yang Bin Liang Zhong He Dujun Bian | 2014 | European Journal of Gastroenterology & Hepatology2014，，1： | 1 |
| 14 | Genomic decoding of breeding history to guide breeding-by-design in rice显示文摘Deciphering the intrinsic molecular logic of empirical crop breeding from a genomic perspective is a decisive prerequisite for breeding-by-design(BbD),but remains not well established.Here,we decoded the historical features of past rice breeding by phenotyping and haplotyping 546 accessions covering the majority of cultivars bred in the history of Northeast China(NEC).We revealed that three groups founded the genetic diversities in NEC rice with distinct evolution patterns and traced and verified the breeding footprints to known or genome-wide association study(GWAS)-detected quantitative trait loci(QTLs),or introgressions from indica sub-species with chronological changes in allele frequencies.Then we summarized a rice breeding trend/principle in NEC,and combined with the successful example in breeding and application of Zhongkefa5 to demonstrate the guiding value of our conclusion for BbD in practice.Our study provides a paradigm for decoding the breeding history of a specific crop to guide BbD,which may have implications in different crop breeding. | Zhuo Chen Qingyun Bu Guifu Liu Maoqing Wang Hongru Wang Huazhao Liu Xiufeng Li Hong Li Jun Fang Yan Liang Zhenfeng Teng Sai Kang Hong Yu Zhukuan Cheng Yongbiao Xue Chengzhi Liang Jiuyou Tang Jiayang Li Chengcai Chu | 2023 | National Science Review2023，10，5： | 1 |
| 15 | Wavelet modulus maxima method for on-line wavelength location of pulsed lidar in CO_2 differential absorption lidar detection显示文摘Differential absorption lidar(DIAL) is an excellent technology for atmospheric CO2 detection. However, the accuracy and stability of a transmitted on-line wavelength are strictly required in a DIAL system. The fluctuation of a tunable pulsed laser system is relatively more serious than that of other laser sources, and this condition leads to a large measurement error for the lidar signal. These concerns pose a significant challenge in on-line wavelength calibration. This study proposes an alternative method based on wavelet modulus maxima for the accurate on-line wavelength calibration of a pulsed laser. Because of the different propagation characteristics of the wavelet transform modulus maxima between signal and noise, the singularities of a signal can be obtained by detection of the local modulus maxima in the wavelet transform maximum at fine scales. Simulated analysis shows that the method is more accurate than the general method such as quintic polynomial fitting and can steadily maintain high calibration precision at different signal-to-noise ratios(SNRs). Last, 16 groups of real experiments were conducted to verify the simulated analysis, which shows that the proposed method is an alternative for accurately calibrating an on-line wavelength. In addition, the proposed method is able to suppress noises in the process of wavelength calibration, which gives it an advantage in accurate on-line wavelength calibration with a low SNR. | Wei Gong Chengzhi Xiang Feiyue Mao Xin Ma Ailin Liang | 2016 | Photonics Research2016，4，2： | 1 |
| 16 | GC-MS Analysis of Volatile Oils in Mango Leaves from Different Producing Areas显示文摘[Objectives]To analyze the composition of volatile oils from mango leaves from different producing areas.[Methods]The volatile oils in mango leaves from different areas was extracted by steam distillation,and the GC-MS method combined with retention index and peak area normalization method was used for qualitative and quantitative analysis.[Results]The volatile oils of mango leaves in southern provinces contained high content of terpenes,such asα-gurjunene(18.39%-34.13%),(+)-viridiflorene(8.95%-16.30%)and(E)-β-ocimene(3.49%-7.63%).The volatile oils components of mango leaves were significantly different in different provinces,for example,mango leaves produced in Hainan Province contained a large amount ofβ-selinene(23.00%),but not in other provinces.[Conclusions]The origin had a great influence on the composition and contents of volatile oils in mango leaves. | Xu FENG Chuanxian QIN Qingxia HUANG Chengzhi DU Chenyan LIANG | 2021 | Medicinal Plant2021，12，3： | 1 |
| 17 | Gramene:a growing plant comparative genomics resource显示文摘 | Chengzhi Liang Pankaj Jaiswal Claire Hebbard | 2008 | Nucleic Acids Research2008，36，： | 1 |
| 18 | Machine learning and high-throughput computational screening of hydrophobic metal–organic frameworks for capture of formaldehyde from air显示文摘Aiming to efficiently capture the formaldehyde(HCHO)with low content in the air exceeding the standard,31,399 hydrophobic metal–organic frameworks(MOFs)were first selected from 137,953 hypothetical MOFs to calculate their formaldehyde adsorption performance,namely,adsorption capacity(NHCHO)and selectivity(SHCHO=N^(2+)O_(2))by molecular simulation and machine learning(ML).To combine the SHCHO=N^(2+)O_(2) and NHCHO,a new performance metric,the tradeoff between selectivity and capacity(TSC)was proposed to identify more reasonably the top-performing MOFs.The MOFs were divided into three datasets(i.e.,all of the MOFs(AM),MOFs with top 5%of SHCHO=N^(2+)O_(2)(PS)and MOFs with top 5%of NHCHO(PN))to scrutinize and explore the characteristics of different materials capturing formaldehyde from the air(N2 and O_(2)).Furthermore,after four ML algorithms(the back propagation neural network(BPNN),support vector machine(SVM),extreme learning machine(ELM),and random forest(RF))are applied to quantitatively assess the prediction effects of performance indexes in different datasets,RF algorithm with the most accurate prediction revealed that the TSC has strong correlations with the MOF descriptors in PS dataset.In view of 14.10%of the promising MOFs occupied PN,the design paths of excellent adsorbents for six MOF descriptors were quantitatively determined,especially for the Henry's coefficient(KHCHO)and heat of adsorption of formaldehyde(Q0 st).Their probabilities of obtaining excellent MOFs could reach 100%and 77.42%,respectively,and both the relative importance and the trends of univariate analysis coherently confirm the important positions of KHCHO and Q0 st.Finally,20 best MOFs were identified for the single-step separation of formaldehyde with low concentration.The microscopic insights and structure-performance relationship predictions from this computational and ML study are useful toward the development of new MOFs for the capture of formaldehyde from air. | Xueying Yuan Xiaomei Deng Chengzhi Cai Zenan Shi Hong Liang Shuhua Li Zhiwei Qiao | 2021 | Green Energy & Environment2021，6，5： | 1 |
| 19 | Explorations in Experimental Teaching of Traditional Chinese Medicine Instrumental Analysis Based on the Training of Innovative Talents显示文摘Training students’innovative thinking is an essential task of talent training in colleges and universities,and how to train students’innovativeness in experimental teaching is the focus of modern education.Experimental lesson of instrumental analysis is an important section for integrating students’theories and practices,in view of the characteristics of traditional Chinese medicine major and instrumental analysis lesson,this lesson orientates opening up students’innovative thinking,explores the way of improving students’innovative ability in an all-around way through reforming the experimental teaching of instrumental analysis according to the teaching objectives. | Chenyan LIANG Chengzhi DU Xu FENG Yunli TANG | 2022 | Medicinal Plant2022，13，4： | 0 |
| 20 | Demulsification performance and mechanism of oil droplets by electrocoagulation: Role of surfactant显示文摘Surfactants are widely used to improve the solubility of oil in water in petrochemical,making it more difficult to remove oil–water emulsions during the water treatment process.Electrocoagulation(EC) is an appropriate method for treating oily wastewater and destabilizing emulsions. However, the demulsification mechanism of oil–water droplets emulsified by surfactants with different charges have not been investigated systematically. The demulsification performance of electrocoagulation on emulsions wastewater containing cationic,non-ionic, and anionic surfactants was studied. The results showed that the removal rate of total organic carbon(TOC) in oily wastewater with anionic surfactant by EC reached92.98% ± 0.40% at a current density of 1 mA/cm^(2), while that of the non-ionic surfactant was 84.88% ± 0.63%. The characterization of flocs showed that EC has the highest coagulation and demulsification of oil droplets with a negative charge on the surface(-70.50 ± 10.25mV), which indicated that the charge neutralization of oil droplets was beneficial for the destabilization of the formed oily flocs. However, when the zeta potential of the oil droplets reached 75.50 ± 1.25 mV, the TOC removal efficiency was only 11.80% ± 1.43%. The TOC removal could achieve 33.23% ± 3.21% when the current density improved from 1 mA/cm^(2)to 10 mA/cm^(2). The enhanced removal was due to the sweep coagulation rather than charge neutralization. This study provides a fundamental basis for the electrochemical treatment of oily wastewater. | Liang Wang Ben Zhang Bin Zhao Saiguo Yang Kun Wu Jingqiu Sun Chengzhi Hu | 2022 | Journal of Environmental Sciences2022，34，8： | 0 |
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