Pub Date : 2024-11-19DOI: 10.1016/j.jhazmat.2024.136545
Lin Chen, Xianyang Li, Hao Liu, Fei He, Mingna Li, Ruicai Long, Xue Wang, Junmei Kang, Qingchuan Yang
Epigenetics plays an important role in plant growth and development and in environmental adaptation. Alfalfa, an important forage crop, is rich in nutrients. However, little is known about the molecular regulatory mechanisms underlying the response of alfalfa to cadmium (Cd) stress. Here, we performed DNA methylation (5mC), RNA methylation (m6A) and transcriptomic sequencing analyses of alfalfa roots under Cd stress. Whole-genome methylation sequencing and transcriptomic sequencing revealed that Cd stress reduced DNA methylation levels. Moreover, a reduced 5mC methylation level was associated with decreased expression of several DNA methyltransferase genes. Compared with those under normal (CK) conditions, the m6A modification levels under Cd stress were greater and were positively correlated with gene expression in alfalfa roots. We also found a negative correlation between the 5mC level and the m6A level, especially in CG and CHG contexts. In yeast, the overexpression of MsNARMP5 (natural resistance-associated macrophage protein) and MsPCR2 (plant cadmium resistance 2), which are modified by 5mC or m6A, significantly increased Cd stress tolerance. These results provide candidate genes for future studies on the mechanism of Cd stress tolerance in alfalfa roots and valuable information for studying heavy metal stress in alfalfa breeding.
{"title":"Comprehensive analysis of epigenetic modifications in alfalfa under cadmium stress","authors":"Lin Chen, Xianyang Li, Hao Liu, Fei He, Mingna Li, Ruicai Long, Xue Wang, Junmei Kang, Qingchuan Yang","doi":"10.1016/j.jhazmat.2024.136545","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.136545","url":null,"abstract":"Epigenetics plays an important role in plant growth and development and in environmental adaptation. Alfalfa, an important forage crop, is rich in nutrients. However, little is known about the molecular regulatory mechanisms underlying the response of alfalfa to cadmium (Cd) stress. Here, we performed DNA methylation (5mC), RNA methylation (m<sup>6</sup>A) and transcriptomic sequencing analyses of alfalfa roots under Cd stress. Whole-genome methylation sequencing and transcriptomic sequencing revealed that Cd stress reduced DNA methylation levels. Moreover, a reduced 5mC methylation level was associated with decreased expression of several DNA methyltransferase genes. Compared with those under normal (CK) conditions, the m<sup>6</sup>A modification levels under Cd stress were greater and were positively correlated with gene expression in alfalfa roots. We also found a negative correlation between the 5mC level and the m<sup>6</sup>A level, especially in CG and CHG contexts. In yeast, the overexpression of <em>MsNARMP5</em> (natural resistance-associated macrophage protein) and <em>MsPCR2</em> (plant cadmium resistance 2), which are modified by 5mC or m<sup>6</sup>A, significantly increased Cd stress tolerance. These results provide candidate genes for future studies on the mechanism of Cd stress tolerance in alfalfa roots and valuable information for studying heavy metal stress in alfalfa breeding.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"52 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.jhazmat.2024.136596
Qi Wang, Shujiang Liu, Yuqiang Sheng, Zhanying Chen, Xiubo Min, Yi Zhou, Baogang Zhao, Tianjun Sun
Efficient adsorbents for radioactive gas treatment in nuclear energy cycle is crucial for eliminating negative environmental impacts caused by wide nuclear applications. A Ni-based MOF material called JUC-86(Ni) which is based on 1-H-benzimidazole-5-carboxylic acid (HBIC) linker was synthesized for adsorbing the 85Kr, 14CH4 from off-gas stream. It was disclosed that there is a suitable pore environment for 85Kr and 14CH4 preferred adsorption in JUC-86 and the adsorption capacity could even reach 2.79 mmol/g (85Kr) and 2.54 mmol/g (14CH4) which are almost higher than all the adsorbents. The 85Kr/N2 and 14CH4/N2 IAST selectivities of the resulting sample are satisfactory (11.63 and 9.43) and well matched with the breakthrough experiments where the breakthrough times of 85Kr and 14CH4 are much longer than N2. What’s more, the adsorption heats of 85Kr and 14CH4 are less than 30 kJ/mol which indicated a stronger affinity than N2 and a low-energy regeneration. As simulation results showed that the adsorption distribution follows a-spiral-pattern which could be attributed to the N atom in the C=N, this is also the dominant factor of the 85Kr and 14CH4 preferable adsorption.
{"title":"An efficient Ni-based adsorbent for selective removal of 85Kr and 14CH4 in radioactive contaminants from nuclear process off-gas stream","authors":"Qi Wang, Shujiang Liu, Yuqiang Sheng, Zhanying Chen, Xiubo Min, Yi Zhou, Baogang Zhao, Tianjun Sun","doi":"10.1016/j.jhazmat.2024.136596","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.136596","url":null,"abstract":"Efficient adsorbents for radioactive gas treatment in nuclear energy cycle is crucial for eliminating negative environmental impacts caused by wide nuclear applications. A Ni-based MOF material called JUC-86(Ni) which is based on 1-H-benzimidazole-5-carboxylic acid (HBIC) linker was synthesized for adsorbing the <sup>85</sup>Kr, <sup>14</sup>CH<sub>4</sub> from off-gas stream. It was disclosed that there is a suitable pore environment for <sup>85</sup>Kr and <sup>14</sup>CH<sub>4</sub> preferred adsorption in JUC-86 and the adsorption capacity could even reach 2.79<!-- --> <!-- -->mmol/g (<sup>85</sup>Kr) and 2.54<!-- --> <!-- -->mmol/g (<sup>14</sup>CH<sub>4</sub>) which are almost higher than all the adsorbents. The <sup>85</sup>Kr/N<sub>2</sub> and <sup>14</sup>CH<sub>4</sub>/N<sub>2</sub> IAST selectivities of the resulting sample are satisfactory (11.63 and 9.43) and well matched with the breakthrough experiments where the breakthrough times of <sup>85</sup>Kr and <sup>14</sup>CH<sub>4</sub> are much longer than N<sub>2</sub>. What’s more, the adsorption heats of <sup>85</sup>Kr and <sup>14</sup>CH<sub>4</sub> are less than 30<!-- --> <!-- -->kJ/mol which indicated a stronger affinity than N<sub>2</sub> and a low-energy regeneration. As simulation results showed that the adsorption distribution follows a-spiral-pattern which could be attributed to the N atom in the C=N, this is also the dominant factor of the <sup>85</sup>Kr and <sup>14</sup>CH<sub>4</sub> preferable adsorption.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"252 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The extent to which organic matters (OM) in PM2.5 affect virus infections and the key organic molecules involved in this process remain unclear. Herein, this study utilized ultra-high resolution mass spectrometry coupled with in vitro experiments to identify the organic molecules associated with respiratory virus infection for the first time. Water-soluble organic matters (WSOM) and water-insoluble organic matters (WIOM) were separated from PM2.5 samples collected at the urban area of Guangzhou, China. Their molecular compositions were analyzed using Fourier transform ion cyclotron resonance mass spectrometry. Subsequently, in vitro experiments were conducted to explore the impact of WSOM and WIOM exposure on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pseudo-virus infection in A549 cells. Results revealed that WSOM and WIOM respectively promoted 1.7 to 2.1-fold and 1.9 to 3.5-fold upregulation of SARS-CoV-2 pseudo-virus infection in a concentration-dependent manner (at 25 to 100 μg mL-1) compared to the virus-only control group. Partial least squares model analysis indicated that the increased virus infection was likely related to phthalate ester and nitro-aromatic molecules in WSOM, as well as LipidC molecules with aliphatic and olefinic structures in WIOM. Interestingly, the molecules responsible for upregulating SARS-CoV-2 receptor angiotensin-converting enzyme 2 (ACE2) expression and virus infection differed. Thus, it was concluded that ACE2 upregulation alone may not fully elucidate the mechanisms underlying increased susceptibility to virus infection. The findings highlight the critical importance of aromatic and lipid molecules found in OM in relation to respiratory virus infection.
{"title":"Molecular Characteristics of Organic Matters in PM2.5 Associated with Upregulation of Respiratory Virus Infection in Vitro","authors":"Juying Lin, Wei Sun, Shuyi Peng, Yaohao Hu, Guohua Zhang, Wei Song, Bin Jiang, Yuhong Liao, Chenglei Pei, Jinpu Zhang, Jianwei Dai, Xinming Wang, Ping’an Peng, Xinhui Bi","doi":"10.1016/j.jhazmat.2024.136583","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.136583","url":null,"abstract":"The extent to which organic matters (OM) in PM<sub>2.5</sub> affect virus infections and the key organic molecules involved in this process remain unclear. Herein, this study utilized ultra-high resolution mass spectrometry coupled with <em>in vitro</em> experiments to identify the organic molecules associated with respiratory virus infection for the first time. Water-soluble organic matters (WSOM) and water-insoluble organic matters (WIOM) were separated from PM<sub>2.5</sub> samples collected at the urban area of Guangzhou, China. Their molecular compositions were analyzed using Fourier transform ion cyclotron resonance mass spectrometry. Subsequently, <em>in vitro</em> experiments were conducted to explore the impact of WSOM and WIOM exposure on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pseudo-virus infection in A549 cells. Results revealed that WSOM and WIOM respectively promoted 1.7 to 2.1-fold and 1.9 to 3.5-fold upregulation of SARS-CoV-2 pseudo-virus infection in a concentration-dependent manner (at 25 to 100<!-- --> <!-- -->μg<!-- --> <!-- -->mL<sup>-1</sup>) compared to the virus-only control group. Partial least squares model analysis indicated that the increased virus infection was likely related to phthalate ester and nitro-aromatic molecules in WSOM, as well as Lipid<sub>C</sub> molecules with aliphatic and olefinic structures in WIOM. Interestingly, the molecules responsible for upregulating SARS-CoV-2 receptor angiotensin-converting enzyme 2 (<em>ACE2</em>) expression and virus infection differed. Thus, it was concluded that <em>ACE2</em> upregulation alone may not fully elucidate the mechanisms underlying increased susceptibility to virus infection. The findings highlight the critical importance of aromatic and lipid molecules found in OM in relation to respiratory virus infection.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"39 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The man-made gas sulfur hexafluoride (SF6) is an excellent and stable insulating medium. However, some insulation defects can cause SF6 to decompose, threatening the safe operation of power grids. Based on this, it is of great significance to find and effectively control the decomposition products of SF6 in time. Gas sensors have proven to be an effective way to detect these decomposition gases (SO2, SOF2, SO2F2, H2S, and HF). Nanomaterials with gas-sensitive properties are at the heart of gas sensors. In recent years, data-driven machine learning (ML) has been widely used to predict material properties and discover new materials. However, it has become a major challenge to establish a common model between material properties derived from various types of calculations and intelligent algorithms. In order to make some progress in addressing this challenge. In this work, 250 data sets were extracted from 52 publications exploring the detection of SF6 decomposition products by nanocomposites based on relevant work over the past 10 years, and the adsorption behavior of SF6 decomposition products can be predictively analyzed. By comparing six different algorithmic models, the best model for predicting the adsorption distance (XGBoost: R2 = 91.94 %) and adsorption energy (GBR: R2 = 78.63 %) of SF6 decomposed gas was identified. Subsequently, the importance of each of the selected feature descriptors in predicting the gas adsorption effect was explained. This work combines first-principles computational results and machine-learning algorithms with each other to provide a new research idea for evaluating the gas sensing capability of nanocomposites.
{"title":"A machine learning feature descriptor approach: Revealing potential adsorption mechanisms for SF6 decomposition product gas-sensitive materials","authors":"Mingxiang Wang, Qingbin Zeng, Dachang Chen, Yiyi Zhang, Jiefeng Liu, Changyou Ma, Pengfei Jia","doi":"10.1016/j.jhazmat.2024.136567","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.136567","url":null,"abstract":"The man-made gas sulfur hexafluoride (SF<sub>6</sub>) is an excellent and stable insulating medium. However, some insulation defects can cause SF<sub>6</sub> to decompose, threatening the safe operation of power grids. Based on this, it is of great significance to find and effectively control the decomposition products of SF<sub>6</sub> in time. Gas sensors have proven to be an effective way to detect these decomposition gases (SO<sub>2</sub>, SOF<sub>2</sub>, SO<sub>2</sub>F<sub>2</sub>, H<sub>2</sub>S, and HF). Nanomaterials with gas-sensitive properties are at the heart of gas sensors. In recent years, data-driven machine learning (ML) has been widely used to predict material properties and discover new materials. However, it has become a major challenge to establish a common model between material properties derived from various types of calculations and intelligent algorithms. In order to make some progress in addressing this challenge. In this work, 250 data sets were extracted from 52 publications exploring the detection of SF<sub>6</sub> decomposition products by nanocomposites based on relevant work over the past 10 years, and the adsorption behavior of SF<sub>6</sub> decomposition products can be predictively analyzed. By comparing six different algorithmic models, the best model for predicting the adsorption distance (XGBoost: R<sup>2</sup> = 91.94 %) and adsorption energy (GBR: R<sup>2</sup> = 78.63 %) of SF<sub>6</sub> decomposed gas was identified. Subsequently, the importance of each of the selected feature descriptors in predicting the gas adsorption effect was explained. This work combines first-principles computational results and machine-learning algorithms with each other to provide a new research idea for evaluating the gas sensing capability of nanocomposites.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"33 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.jhazmat.2024.136584
Chengqi Lin, Cheng Zheng, Bo Fan, Chenchen Wang, Xiaoping Zhao, Yi Wang
The adulteration of natural products with multiple azo dyes has become a serious public health concern. Thus, on-site trace additive detection is demanded. Herein, we developed a gold-nanorod-based surface-enhanced Raman scattering (SERS) sensor to detect trace amounts of azo dyes, including lemon yellow, sunset yellow, golden orange II, acid red 73, coccine, and azorubine. After optimizing pre-processing steps, the additives were separated and identified through visual observation. The stable and sensitive SERS sensor developed enabled accurate detection of the added colorants. Density Functional Theory confirmed that the characteristic SERS peaks of the six dyes were accurate and credible. The optimized SERS sensor achieved a detection limit of 50 mg of dye per kilogram of raw material. A SERS spectral dataset comprising 960 replicates from all 64 potential dye combinations was generated, forming robust training sets. The K-Nearest Neighbor model exhibited best performance, identifying dye additives in real samples with a 91% success rate. This model was further validated by screening nine randomly collected safflower batches, identifying three with illegal dye additives, which were subsequently confirmed by HPLC. Summarily, the developed SERS sensor and classification model offer an ultrasensitive, and reliable approach for on-site detection of hazardous dyes in natural products.
{"title":"Machine Learning-Assisted SERS Sensor for Fast and Ultrasensitive Analysis of Multiplex Hazardous Dyes in Natural Products","authors":"Chengqi Lin, Cheng Zheng, Bo Fan, Chenchen Wang, Xiaoping Zhao, Yi Wang","doi":"10.1016/j.jhazmat.2024.136584","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.136584","url":null,"abstract":"The adulteration of natural products with multiple azo dyes has become a serious public health concern. Thus, on-site trace additive detection is demanded. Herein, we developed a gold-nanorod-based surface-enhanced Raman scattering (SERS) sensor to detect trace amounts of azo dyes, including lemon yellow, sunset yellow, golden orange II, acid red 73, coccine, and azorubine. After optimizing pre-processing steps, the additives were separated and identified through visual observation. The stable and sensitive SERS sensor developed enabled accurate detection of the added colorants. Density Functional Theory confirmed that the characteristic SERS peaks of the six dyes were accurate and credible. The optimized SERS sensor achieved a detection limit of 50<!-- --> <!-- -->mg of dye per kilogram of raw material. A SERS spectral dataset comprising 960 replicates from all 64 potential dye combinations was generated, forming robust training sets. The K-Nearest Neighbor model exhibited best performance, identifying dye additives in real samples with a 91% success rate. This model was further validated by screening nine randomly collected safflower batches, identifying three with illegal dye additives, which were subsequently confirmed by HPLC. Summarily, the developed SERS sensor and classification model offer an ultrasensitive, and reliable approach for on-site detection of hazardous dyes in natural products.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"27 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.jhazmat.2024.136587
Jie Hou, Ye Li, Mengqi Liu, Zheng Qu, Zhaolin Du, Yi An, Fengxia Yang, Yanpo Yao
Heavy metals (HMs) act as a long-term selective pressure for the emergence and maintenance of antibiotic resistance genes (ARGs) in agricultural soils. However, the effects of HMs on ARG distributions in paddy soils and the underlying mechanisms remain unclear. In this study, 74 soil samples were collected from the paddy fields to explore the impact of HMs on ARG profiles. A total of 468 ARGs were detected in HM-contaminated soils. Variation partitioning analysis (VPA) and redundancy analysis (RDA) demonstrated that the bioavailable HMs contributed more significantly to ARG composition compared to the total HM content (8.59% vs. 3.97%). Structural equation models (SEMs) showed that bioavailable HMs affected ARGs mainly by negatively altering the microbial diversity. Furthermore, the co-occurrence analysis of ARGs and metal resistant genes (MRGs) was further performed at the metagenome-assembled genomes (MAGs) level. Consequently, 1145 MAGs that assigned to 29 bacterial phyla were found to concurrently harbor ARG and MRG, with the bacterial phyla Pseudomonadota being predominant ARG-MRG-carrying microbes for most coexistence types of ARGs and MRGs, i.e., multidrug-As, polymyxin-Cd, Quinolone-Cd, Beta-lactam-Pb, and multidrug-Zn. Our findings highlight that the extensive coexistence of ARG-MRG in microbial genomes is an important reason for the ARG pollution in HM-contaminated paddy soils.
{"title":"Significant effects of bioavailable heavy metals on antibiotic resistome in paddy soils as revealed by metagenomic analysis","authors":"Jie Hou, Ye Li, Mengqi Liu, Zheng Qu, Zhaolin Du, Yi An, Fengxia Yang, Yanpo Yao","doi":"10.1016/j.jhazmat.2024.136587","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.136587","url":null,"abstract":"Heavy metals (HMs) act as a long-term selective pressure for the emergence and maintenance of antibiotic resistance genes (ARGs) in agricultural soils. However, the effects of HMs on ARG distributions in paddy soils and the underlying mechanisms remain unclear. In this study, 74 soil samples were collected from the paddy fields to explore the impact of HMs on ARG profiles. A total of 468 ARGs were detected in HM-contaminated soils. Variation partitioning analysis (VPA) and redundancy analysis (RDA) demonstrated that the bioavailable HMs contributed more significantly to ARG composition compared to the total HM content (8.59% vs. 3.97%). Structural equation models (SEMs) showed that bioavailable HMs affected ARGs mainly by negatively altering the microbial diversity. Furthermore, the co-occurrence analysis of ARGs and metal resistant genes (MRGs) was further performed at the metagenome-assembled genomes (MAGs) level. Consequently, 1145 MAGs that assigned to 29 bacterial phyla were found to concurrently harbor ARG and MRG, with the bacterial phyla Pseudomonadota being predominant ARG-MRG-carrying microbes for most coexistence types of ARGs and MRGs, i.e., multidrug-As, polymyxin-Cd, Quinolone-Cd, Beta-lactam-Pb, and multidrug-Zn. Our findings highlight that the extensive coexistence of ARG-MRG in microbial genomes is an important reason for the ARG pollution in HM-contaminated paddy soils.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"8 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The presence of sulfamethoxazole (SMX) can adversely affect the anaerobic digestion process, reducing the efficiency of wastewater treatment and methane production. In this study, the addition of exogenous nanoscale zero-valent iron (nZVI) enhanced the efficient treatment of SMX and promoted the energy recovery from antibiotic wastewater. The results showed that the removal of SMX in the reactor pairs with 0.5 g/L nZVI increased by 20 %, 35 %, and 27 %, and the methane production increased by 21.6 %, 40.9 %, and 26.6 %, respectively, compared with the control reactor at different SMX influent concentrations (50, 100, and 200 mg/L). The microbial community distribution indicated that the nZVI facilitated efficient cooperation between acid-producing and methanogens by regulating the relative abundance of functional bacteria, such as Anaerolinea and Methanothrix. Meanwhile, nZVI can effectively facilitate the direct interspecies electron transfer (DIET) and enhance electron transport system (ETS) activity by functioning as a conductive particle and increasing the abundance of genes related to cytochrome C (Cyt C) and type IV pili. In addition, nZVI can reduce the risk of antibiotic resistance genes (ARGs) transmission by decreasing the relative abundance of ARGs. In summary, this study could provide new insights and theoretical support for efficient anaerobic bioremediation and energy recovery of antibiotic wastewater containing SMX.
{"title":"Simultaneous effects of nanoscale zero-valent iron on wastewater decontamination and energy generation: Mechanisms of sulfamethoxazole degradation and methanogenesis","authors":"Lingyun Zhou, Jibin Li, Xingcheng Lu, Weiming Zhang, Bingcai Pan, Ming Hua","doi":"10.1016/j.jhazmat.2024.136569","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.136569","url":null,"abstract":"The presence of sulfamethoxazole (SMX) can adversely affect the anaerobic digestion process, reducing the efficiency of wastewater treatment and methane production. In this study, the addition of exogenous nanoscale zero-valent iron (nZVI) enhanced the efficient treatment of SMX and promoted the energy recovery from antibiotic wastewater. The results showed that the removal of SMX in the reactor pairs with 0.5 g/L nZVI increased by 20 %, 35 %, and 27 %, and the methane production increased by 21.6 %, 40.9 %, and 26.6 %, respectively, compared with the control reactor at different SMX influent concentrations (50, 100, and 200 mg/L). The microbial community distribution indicated that the nZVI facilitated efficient cooperation between acid-producing and methanogens by regulating the relative abundance of functional bacteria, such as <em>Anaerolinea</em> and <em>Methanothrix</em>. Meanwhile, nZVI can effectively facilitate the direct interspecies electron transfer (DIET) and enhance electron transport system (ETS) activity by functioning as a conductive particle and increasing the abundance of genes related to cytochrome C (Cyt C) and type IV pili. In addition, nZVI can reduce the risk of antibiotic resistance genes (ARGs) transmission by decreasing the relative abundance of ARGs. In summary, this study could provide new insights and theoretical support for efficient anaerobic bioremediation and energy recovery of antibiotic wastewater containing SMX.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"13 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The development of a versatile platform for bacterial assay and elimination is urgently needed due to the danger that bacteria pose to human life. Here, we synthesized a trimetallic deposition and horseradish peroxidase (HRP)-embedded porous coordination network-224 hybrid nanozymes (PCN-224@AuPdPt@HRP) with outstanding peroxidase activity and fluorescence quenching ability. On this basis, we designed a dual recognition strategy-driven colorimetric-fluorescence dual-mode detection platform using Listeria monocytogenes as a pattern analyte. The platform consisted of an aptamer-modified PCN-224@AuPdPt@HRP (PCN-224@AuPdPt@HRP@Aptamer) specifically recognizing Listeria monocytogenes and vancomycin-coated 96-well plates. In the presence of vancomycin, which has the ability to recognize and inactivate gram-positive bacteria, the significant peroxidase activity of PCN-224@AuPdPt@HRP@Aptamer in the precipitate was able to catalyze the color change of the substrate by H2O2. Meanwhile, the residual PCN-224@AuPdPt@HRP@Aptamer in the supernatant was able to change the fluorescence of fluorescein-labeled deoxyribonucleic acid (FAM-DNA). In summary, this paper presents a multifunctional platform capable of detecting and eliminating residual bacteria in real environments. This strategy is expected to facilitate the development of multifunctional biosensors based on metal–organic framework probes and also provide environmental health.
{"title":"Biosensors with vancomycin and polymetallic metal–organic frameworks for colorimetric-fluorescent dual-mode detection and sterilization of bacteria","authors":"Wei Chen, Xiayu Peng, Lichao Kang, Shengnan Dong, Jian Zhang, Yunfeng Zhao, Fengxia Sun","doi":"10.1016/j.jhazmat.2024.136582","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.136582","url":null,"abstract":"The development of a versatile platform for bacterial assay and elimination is urgently needed due to the danger that bacteria pose to human life. Here, we synthesized a trimetallic deposition and horseradish peroxidase (HRP)-embedded porous coordination network-224 hybrid nanozymes (PCN-224@AuPdPt@HRP) with outstanding peroxidase activity and fluorescence quenching ability. On this basis, we designed a dual recognition strategy-driven colorimetric-fluorescence dual-mode detection platform using <em>Listeria monocytogenes</em> as a pattern analyte. The platform consisted of an aptamer-modified PCN-224@AuPdPt@HRP (PCN-224@AuPdPt@HRP@Aptamer) specifically recognizing <em>Listeria monocytogenes</em> and vancomycin-coated 96-well plates. In the presence of vancomycin, which has the ability to recognize and inactivate gram-positive bacteria, the significant peroxidase activity of PCN-224@AuPdPt@HRP@Aptamer in the precipitate was able to catalyze the color change of the substrate by H<sub>2</sub>O<sub>2</sub>. Meanwhile, the residual PCN-224@AuPdPt@HRP@Aptamer in the supernatant was able to change the fluorescence of fluorescein-labeled deoxyribonucleic acid (FAM-DNA). In summary, this paper presents a multifunctional platform capable of detecting and eliminating residual bacteria in real environments. This strategy is expected to facilitate the development of multifunctional biosensors based on metal–organic framework probes and also provide environmental health.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"174 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The widespread use of titanium dioxide nanoparticles (TiO2NPs) and their potential adverse effects on the ecosystems have raised significant concerns. Limitations in detection methods and insufficient data on their environmental concentrations, especially in marine systems, hinder the accurate risk assessment. Herein, a robust method for the analysis of TiO2NPs in marine sediment is developed, with a detection limit of 0.09 μg/g. The spatial distribution of TiO2NPs in seawater and sediments in Jiaozhou Bay was investigated. High concentrations of TiO2NPs in seawater were distributed in the northeastern region, near river inlets and sea-crossing bridges. By using the proposed method, the mass concentrations of TiO2NPs in the Jiaozhou Bay sediments were first reported, ranging from 0.697 to 2.44 mg/g. There was no positive correlation between the distribution of TiO2NPs in seawater and sediment. The Ti/Nb ratio of TiO2NPs was used to distinguish whether TiO2NPs were sourced from the background or anthropogenic inputs. Similar distribution trends of Ti/Nb ratios in seawater and sediment suggest that significant engineered TiO2NPs were transferred from high-salinity seawater to sediment via agglomeration and sedimentation. Industrial discharges and bridge runoff may be primary contributors of engineered TiO2NPs. This study provides a reliable method for the analysis of TiO2NPs in marine sediment, which would contribute to tracking the mobility of TiO2NPs in the marine system. The data on the spatial distribution and possible sources of TiO2NPs in Jiaozhou Bay also benefit the risk assessment and control.
{"title":"Distribution and source of titanium dioxide nanoparticles in seawater and sediment from Jiaozhou Bay, China","authors":"Ronggang Zheng, Liuyang Li, Zhan Wu, Anran Xu, Haoming Xu, Zhineng Hao, Sujuan Yu, Yaqi Cai, Jingfu Liu","doi":"10.1016/j.jhazmat.2024.136576","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.136576","url":null,"abstract":"The widespread use of titanium dioxide nanoparticles (TiO<sub>2</sub>NPs) and their potential adverse effects on the ecosystems have raised significant concerns. Limitations in detection methods and insufficient data on their environmental concentrations, especially in marine systems, hinder the accurate risk assessment. Herein, a robust method for the analysis of TiO<sub>2</sub>NPs in marine sediment is developed, with a detection limit of 0.09<!-- --> <!-- -->μg/g. The spatial distribution of TiO<sub>2</sub>NPs in seawater and sediments in Jiaozhou Bay was investigated. High concentrations of TiO<sub>2</sub>NPs in seawater were distributed in the northeastern region, near river inlets and sea-crossing bridges. By using the proposed method, the mass concentrations of TiO<sub>2</sub>NPs in the Jiaozhou Bay sediments were first reported, ranging from 0.697 to 2.44<!-- --> <!-- -->mg/g. There was no positive correlation between the distribution of TiO<sub>2</sub>NPs in seawater and sediment. The Ti/Nb ratio of TiO<sub>2</sub>NPs was used to distinguish whether TiO<sub>2</sub>NPs were sourced from the background or anthropogenic inputs. Similar distribution trends of Ti/Nb ratios in seawater and sediment suggest that significant engineered TiO<sub>2</sub>NPs were transferred from high-salinity seawater to sediment via agglomeration and sedimentation. Industrial discharges and bridge runoff may be primary contributors of engineered TiO<sub>2</sub>NPs. This study provides a reliable method for the analysis of TiO<sub>2</sub>NPs in marine sediment, which would contribute to tracking the mobility of TiO<sub>2</sub>NPs in the marine system. The data on the spatial distribution and possible sources of TiO<sub>2</sub>NPs in Jiaozhou Bay also benefit the risk assessment and control.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"11 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1016/j.jhazmat.2024.136572
Xiao Chen, Xiao-Nan Wu, Jing-Chun Feng, Bin Wang, Can-Rong Li, Yi-Lei Lin, Yong-Ji Huang, Song Zhong, Xiao-Chun Zhang, Jun-Lin Hu, Si Zhang
Marine microplastics pose a significant threat to ecosystems, and deep-sea regions serve as critical sinks for these pollutants. Among these regions, cold seeps harbor relatively high concentrations of microplastics. However, research on the aging of microplastics under low-temperature, dark, methane-abundant, and high-pressure conditions remains limited. Seawater and sediment were collected from various Haima cold seepage sites to simulate seepage environments in 200-mL high-pressure reactors. Four types of microplastics at high concentrations of around (approximately 10%) were cultured and monitored over two months to explore how they aged. The key findings are as follows: (1) Compared to areas of weak seepage, methane seepage accelerated microplastic aging, as evidenced by increased surface roughness, enhanced C-O and (C=O)-O bond formation, increased microbial colonization, and reduced contact angles. (2) Microplastic aging is more pronounced in sediments than in seawater, with biodegradable polylactic acid (PLA) exhibiting the most significant aging characteristics and carbon contribution. (3) Aged microplastics induce greater disturbances in inorganic nutrient levels than in organic matter, impacting nitrogen cycle processes involving nitrate, nitrite, and ammonium. This study results reveal the fundamental aging characteristics of microplastics in extremely deep seas and highlight their potential ecological effects.
{"title":"Methane seepage leads to a specific microplastic aging process in the simulated cold seep environment","authors":"Xiao Chen, Xiao-Nan Wu, Jing-Chun Feng, Bin Wang, Can-Rong Li, Yi-Lei Lin, Yong-Ji Huang, Song Zhong, Xiao-Chun Zhang, Jun-Lin Hu, Si Zhang","doi":"10.1016/j.jhazmat.2024.136572","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.136572","url":null,"abstract":"Marine microplastics pose a significant threat to ecosystems, and deep-sea regions serve as critical sinks for these pollutants. Among these regions, cold seeps harbor relatively high concentrations of microplastics. However, research on the aging of microplastics under low-temperature, dark, methane-abundant, and high-pressure conditions remains limited. Seawater and sediment were collected from various Haima cold seepage sites to simulate seepage environments in 200-mL high-pressure reactors. Four types of microplastics at high concentrations of around (approximately 10%) were cultured and monitored over two months to explore how they aged. The key findings are as follows: (1) Compared to areas of weak seepage, methane seepage accelerated microplastic aging, as evidenced by increased surface roughness, enhanced C-O and (C=O)-O bond formation, increased microbial colonization, and reduced contact angles. (2) Microplastic aging is more pronounced in sediments than in seawater, with biodegradable polylactic acid (PLA) exhibiting the most significant aging characteristics and carbon contribution. (3) Aged microplastics induce greater disturbances in inorganic nutrient levels than in organic matter, impacting nitrogen cycle processes involving nitrate, nitrite, and ammonium. This study results reveal the fundamental aging characteristics of microplastics in extremely deep seas and highlight their potential ecological effects.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"58 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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