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{"title":"Assessing food by-products macrocomposition by FTIR microspectroscopy.","authors":"Paula Varas Perez, Alexis Fagot, Martijn Heleven, Karen Smeets, Pieter Samyn, Peter Adriaensens, Wouter Marchal, Dries Vandamme","doi":"10.1007/s00216-025-05984-z","DOIUrl":"https://doi.org/10.1007/s00216-025-05984-z","url":null,"abstract":"<p><p>Food by-products offer a promising opportunity for extracting valuable compounds that can be used in the food, pharmaceutical, and polymer industries. However, unpredictable variations in the chemical composition and spatial distribution of the various components within these biological matrices create challenges for new valorization processes. These inconsistencies can lead to variable recovery efficiency and differing quality of extracts. Understanding the chemical composition and spatial distribution of these components is essential, as it will facilitate the effective valorization of these by-products in future applications. Fourier transform infrared (FTIR) microspectroscopy was employed to evaluate the chemical composition and structural organization of industrial food by-products, specifically potato trimmings, carrot pomace, and brewer's spent grain. Frozen sectioning was employed as a sample preparation method. Hierarchical cluster analysis was applied to differentiate the spectral information from the background, allowing the determination of representative average spectra with good reproducibility across sample replicates. Derivative FTIR spectra further revealed previously hidden information by resolving overlapping signals, such as multiple bands in the 1750-1550 cm <math><mmultiscripts><mrow></mrow> <mrow></mrow> <mrow><mo>-</mo> <mrow><mn>1</mn></mrow> </mrow> </mmultiscripts> </math> region, facilitating the assignment of functional groups to compounds of interest such as proteins, lipids, or pectin and the creation of chemical images. However, some macroconstituents exhibited overlapping absorbance peaks, complicating the precise identification of individual components. Despite this limitation, FTIR microspectroscopy provided valuable semi-quantitative information on the composition of these by-products. The results demonstrated that chemical imaging by FTIR microspectroscopy is a valuable tool for food by-product evaluation, providing insight into their composition and supporting the potential for their valorization in industrial applications.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144537644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a cloud point extraction method combined with ETAAS and ICP-MS for the preconcentration and quantification of silver as nanoparticles in saline samples.","authors":"María Carmen Barciela-Alonso, Elena Peña-Vázquez, Juan José López-Mayán, Oscar Rodríguez-Arnoso, Pilar Bermejo-Barrera","doi":"10.1007/s00604-025-07330-7","DOIUrl":"https://doi.org/10.1007/s00604-025-07330-7","url":null,"abstract":"<p><p>The increasing industrial use of silver nanoparticles (AgNPs) has led to interest in their determination in different types of environmental complex samples, including saline matrices such as aquaculture waters. A simple, reliable, and green analytical method using instrumentation available in most of the laboratories has been developed for the determination of silver as nanoparticles in saline samples. Cloud point extraction (CPE) was used for the separation of AgNPs from seawater, and silver was then determined in the surfactant-rich extracts by electrothermal atomic absorption spectrometry (ETAAS). Parameters related to ETAAS and the cloud point extraction procedure (Triton X-114 concentration, volume of complexing agent (EDTA), pH and type of buffer, effect of repetitive extraction, matrix modifier, etc) were evaluated. A concentration of Triton X-114 of 12% (v/v), a volume of 750 μL of saturated EDTA, and a pH of 7.0 were selected as the optimum conditions for the separation of AgNPs. Standard addition calibration solutions in a concentration range from 0 to 3.0 μg L^-1 of AgNPs were subjected to the CPE procedure and used for silver determination by ETAAS. The LOD and LOQ were 0.038 and 0.125 μg L^-1 of silver (as AgNPs), respectively. The method is precise (whole procedure 9.7%) and accurate (recovery percentages 99±4%), showing a good selectivity for the extraction of AgNPs, while ionic Ag remains in the aqueous phase. Moreover, the results of size analysis of the nanoparticles in the surfactant extracts of seawater samples spiked with AgNPs (40 and 60 nm) by SP-ICP-MS and TEM were in good agreement.</p>","PeriodicalId":705,"journal":{"name":"Microchimica Acta","volume":"192 8","pages":"470"},"PeriodicalIF":5.3,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144537696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a Lemon-peppermint Essential Oil Nanoemulsion Blend: Effects on Bacillus spp. Inhibition, A549 Lung Cancer Cell Viability, Cell Cycle Progression, and Genotoxicity.","authors":"Heba Mohamed Fahmy, Amany Mohamed Hamad","doi":"10.1007/s12013-025-01811-5","DOIUrl":"https://doi.org/10.1007/s12013-025-01811-5","url":null,"abstract":"<p><p>The increasing resistance to treatments and limited effectiveness of singular medications against cancer and foodborne bacteria highlight the need for therapeutic synergy using multiple natural components. This study aimed to develop a blend nanoemulsion (NE) combining two plant essential oils, lemon (LEO) and peppermint (PEO), for anticancer and antibacterial testing. The chemical composition of PEO and LEO was analyzed by GC-MS, identifying D-limonene (77.89%) and menthol (56.63%) as their primary constituents. The NEs were prepared with droplet sizes of 57.2 (LEO), 104.2 (PEO), and 44.3 nm (blend), confirmed by FTIR. Cellular viability, DNA damage, and cell cycle progression in A549 lung cancer cells were assessed, showing a 50% reduction in viability after treatment with LEO (1.7 mg/mL), PEO (4.9 mg/mL), and the blend (2.5 mg/mL). Blend NE induced apoptosis and halted the S-phase of the cell cycle. Antibacterial activity was evaluated against Bacillus cereus, Bacillus subtilis, and Pseudomonas aeruginosa. Regarding MIC, blend NE (20 mg/mL) was more effective than LEO-NE (40 mg/mL) and PEO-NE (80 mg/mL) against B. subtilis. TEM analysis confirmed bacterial lysis, supporting the blend NE's superior antimicrobial effects. This synergy holds promise for enhanced cancer treatment and antibacterial applications.</p>","PeriodicalId":510,"journal":{"name":"Cell Biochemistry and Biophysics","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144551606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<i>De Novo</i> Glycan Annotation of Mass Spectrometry Data.","authors":"Margot Bligh, Sebastian Silva-Solar, Linda Biehler, Christopher C J Fitzgerald, Conor J Crawford, Mikkel Schultz-Johansen, Sofie Niggemeier, Peter H Seeberger, Manuel Liebeke, Jan-Hendrik Hehemann","doi":"10.1021/jasms.5c00093","DOIUrl":"https://doi.org/10.1021/jasms.5c00093","url":null,"abstract":"<p><p>Carbohydrates are fundamental molecules of life that are involved in virtually all biological processes. The chemical diversity of glycans─carbohydrate chains─enables diverse functions but also challenges analytics. Annotation of glycans in mass spectrometry (MS) data relies heavily on experimental databases or manual calculations, hindering the discovery of novel glycan compositions and structures. Here, we introduce GlycoAnnotateR─a package in the open-source programming language R─for <i>de novo</i> annotation of glycan compositions in MS data. GlycoAnnotateR calculates all possible monomer and modification combinations, which are then filtered against a defined set of chemical rules to provide biologically relevant compositions. The \"glycoPredict\" function can return compositions for oligosaccharides ranging from 1 to 22 monomers in length while accounting for four different modifications in under 10 min with less than 4 GB of random-access memory (RAM). Here, three case studies demonstrate the efficacy and versatility of GlycoAnnotateR: (1) accurate identification of mono- and oligosaccharide standards, (2) characterization of sulfated fucan oligosaccharides obtained by enzymatic digestion of fucoidan, a complex algal glycan, and (3) reproduction and expansion of glycan annotations for a published mouse lung MALDI-MS imaging data set previously annotated by NGlycDB. GlycoAnnotateR rapidly provides accurate annotations and complements existing R packages for MS data processing, enabling metabolomic and glycomic data integration. This combinatorial, rule-based approach enhances glycan annotation capabilities and supports hypothesis generation in glycoscience, expanding our ability to explore the chemical space of glycan diversity.</p>","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144551622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative assessment of the carbon dioxide absorption capacity of vegetation in China, 2000-2020.","authors":"Guoxin Lan, Zhuangzhuang Hou, Yan Wu, Bin Yan, Chuan Fu, Yi Jiang, Xiang Wang, Qiushi Zheng","doi":"10.1007/s11356-025-36692-x","DOIUrl":"https://doi.org/10.1007/s11356-025-36692-x","url":null,"abstract":"<p><p>CO₂ is the main cause of the dramatic increase in greenhouse gases, posing a serious threat to human systems and ecosystems. Most existing studies focus on estimating carbon emissions and carbon sequestration, and there are relatively few studies on the quantitative analysis of CO₂ uptake by vegetation. Therefore, this paper constructed a Carbon Uptake Index (CUI) model based on the carbon estimation model and the Vegetation Carbon sequestration (VCs) model. It was used to estimate the distributional characteristics of carbon absorption in China from 2000 to 2020. Then, the inter-annual variation and spatial aggregation characteristics of carbon absorption were analyzed using linear regression models and spatial autocorrelation, respectively. The results show that from 2000 to 2020, China's carbon uptake as a whole is in an absorptive state, with significant spatial correlation. Inter-annual variability shows an overall decreasing trend, dominated by a slight decreasing trend. The spatial characteristics of carbon absorption are mainly aggregated, with low-low aggregation in the western part of China and high-high aggregation in the southern part. The results of this paper will provide a reasonable reference for China to achieve carbon peak and carbon neutrality.</p>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":" ","pages":""},"PeriodicalIF":5.8,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144537666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"LncRNAs in hypoxic microenvironment; insight in their impact in cancer biology.","authors":"Beena Briget Kuriakose, Ahmed Hjazi, Raed Obaid Saleh, Ashok Kumar Bishoyi, S Renuka Jyothi, Sami G Almalki, G Sridevi, Kamlesh Chaudhary, Ahmed Hussein Zwamel, O Matchonov","doi":"10.1007/s10142-025-01635-9","DOIUrl":"https://doi.org/10.1007/s10142-025-01635-9","url":null,"abstract":"<p><p>Hypoxia may facilitate metastasis and tumor advancement in solid tumors. Intratumoral hypoxia may facilitate tumor aggressiveness by stabilizing hypoxia-inducible factor-1α (HIF-1α). Various transcriptional and epigenetic pathways modulate hypoxia-stimulated gene expression and tumor progression. Noncoding RNAs longer than 200 nt are long noncoding RNAs (lncRNAs). Current lncRNA profiling in several human tumor types revealed that lncRNA expression and deregulation vary by tumor type and may undergo transcriptional, genomic, and epigenetic modifications. LncRNAs controlled by hypoxia have emerged as a prominent focus in hypoxia-regulated biology due to their ability to influence multiple biological procedures associated with tumorigenesis. Hypoxia-regulated lncRNAs may influence tumor development, growth, anti-apoptosis, migration, invasion, angiogenesis, and tumor metabolism. In this light, hypoxia-inducible lncRNAs could interact with protein/protein complex and chromatin/epigenetic factors and another mechanism, thus favoring tumorigenesis. Conversely, lncRNAs may control hypoxia signaling by stabilizing HIF-1α via several mechanisms. Nonetheless, several undiscovered lncRNAs remain that may mediate or regulate the hypoxia axis. Consequently, the novel lncRNAs modulated by hypoxia or that influence hypoxia signaling have yet to be discovered and thoroughly described. Herein, we aim to classify suitable lncRNA targets to offer a feasible therapeutic modality for hypoxia-driven cancers.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":"142"},"PeriodicalIF":3.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144537672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying intra-urban socio-economic and environmental vulnerability to extreme heat events in Johannesburg, South Africa.","authors":"Craig Parker, Craig Mahlasi, Tamara Govindasamy, Lebohang Radebe, Nicholas Brian Brink, Christopher Jack, Madina Doumbia, Etienne Kouakou, Matthew Chersich, Gueladio Cisse, Sibusisiwe Makhanya","doi":"10.1007/s00484-025-02971-y","DOIUrl":"https://doi.org/10.1007/s00484-025-02971-y","url":null,"abstract":"<p><p>Urban populations face increasing vulnerability to extreme heat events, particularly in rapidly urbanising Global South cities where environmental exposure intersects with socioeconomic inequality and limited healthcare access. This study quantifies heat vulnerability across Johannesburg, South Africa, by integrating high-resolution environmental data with socio-economic and health metrics across 135 urban wards. We examine how historical urban development patterns influence contemporary vulnerability distributions using principal component analysis and spatial statistics. Environmental indicators (Land Surface Temperature (LST), vegetation indices, and thermal field variance) were combined with socioeconomic and health variables (including indicators on crowded dwellings and healthcare access, self-reporting of chronic diseases) in a comprehensive vulnerability assessment. Principal Component Analysis revealed three primary dimensions explaining 56.6% (95% CI: 52.4-60.8%) of the total variance: urban heat exposure (31.5%), health status (12.8%), and socio-economic conditions (12.3%). Built-up areas showed weak but significant correlations with heat indices (ρ = 0.28, p < 0.01), while higher poverty levels demonstrated moderate positive correlations with LST (ρ = 0.41, p < 0.001). The spatial analysis identified significant clustering of vulnerability (Global Moran's I = 0.42, p < 0.001), with distinct high-vulnerability clusters in historically disadvantaged areas. Alexandra Township showed the highest vulnerability(HVI score: 0.87, LST: 29.8 °C ± 0.4 °C, NDVI: 0.08 ± 0.02), with factors characterising the high vulnerability in that area including limited healthcare access and extreme heat exposure. Northern suburbs formed a significant low-vulnerability cluster (Mean HVI = 0.23 ± 0.07, p < 0.001), benefiting from greater vegetation coverage and better healthcare access. These findings demonstrate how historical planning decisions continue to shape contemporary environmental health risks, with vulnerability concentrated in areas of limited healthcare access and high extreme heat exposure. Results suggest the need for targeted interventions that address both environmental and social dimensions of heat vulnerability, particularly focusing on expanding healthcare access in identified hotspots and implementing community-scale green infrastructure in high-risk areas. This study provides an evidence-based framework for prioritising heat-resilience initiatives in rapidly urbanising Global South cities while highlighting the importance of addressing historical inequities in urban adaptation planning.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144537674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"Tomoko Imasaka*,&nbsp;Katsunori Yoshinaga,&nbsp;Cheng-Huang Lin and Totaro Imasaka,&nbsp;","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":"36 7","pages":"XXX-XXX 962–968"},"PeriodicalIF":3.1,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/jasms.5c00029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144521939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DCAF13 Regulates Cell Proliferation and Immune Escape of Hepatocellular Carcinoma Through Activating the NF-κB Pathway.","authors":"Yuan An, Ruiheng Duan, Lianyue Guan","doi":"10.1007/s12013-025-01818-y","DOIUrl":"https://doi.org/10.1007/s12013-025-01818-y","url":null,"abstract":"<p><p>Hepatocellular carcinoma (HCC), the third leading cause of global cancer deaths, has a high unmet clinical need due to limited therapeutic efficacy. Immune escape mechanisms in the tumor microenvironment further complicate treatment. Advances in bioinformatics and machine learning offer potential for identifying novel biomarkers and therapeutic targets. This study aimed to identify immune-related prognostic biomarkers for HCC using integrative bioinformatics and machine learning, and validate their functional roles in tumor progression and immune escape. mRNA data from TCGA and GEO databases were analyzed to identify differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA) and three machine learning models (Random Forest, Boruta, XGBoost) were applied to screen key genes. Candidate genes were validated using qRT-PCR, Western blot, and functional assays (CCK8, colony formation, LDH, flow cytometry) in HCC tissues and cell lines. Immune correlations were assessed via CIBERSORT, and TNF-α/NF-κB pathway involvement was investigated. Total 26 genes were screened as HCC biomarkers through machine learning analysis. DCAF13 emerging as an independent prognostic factor. It was overexpressed in HCC tissues and cells, correlating with poor survival. Sh-DCAF13 suppressed proliferation, reduced PD-L1 expression, enhanced CD8 + T cell cytotoxicity, and decreased T cell apoptosis, inhibiting immune escape. TNF-α overexpression reversed these effects by restoring NF-κB activation. DCAF13 is a promising therapeutic target for HCC. Its role in modulating immune escape via the NF-κB pathway highlights potential strategies for personalized immunotherapy. Integrating machine learning with experimental validation provides a robust framework for biomarker discovery in oncology.</p>","PeriodicalId":510,"journal":{"name":"Cell Biochemistry and Biophysics","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144551605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating soil erosion patterns and potential impacts of rainfall and vegetation index in the semi-arid river basin of southern India.","authors":"S Kaliraj, K Anoop Krishnan, D Suresh, K S Kasivisvanathan, N Chandrasekar","doi":"10.1007/s10661-025-14277-y","DOIUrl":"https://doi.org/10.1007/s10661-025-14277-y","url":null,"abstract":"<p><p>Soil erosion is a critical environmental concern that undermines agricultural productivity, water quality, and land sustainability, particularly in monsoon-dominated semi-arid regions. This study assesses the spatial distribution and severity of soil erosion in the Thamirabarani River Basin (TRB), located in southern India, using the Revised Universal Soil Loss Equation (RUSLE) integrated with Geographic Information Systems (GIS) and remote sensing techniques. The primary objective is to quantify soil erosion rates and analyse the influence of rainfall and vegetation cover (derived from NDVI) over 23 years (2000-2023). High-resolution Landsat 9, SRTM DEM, rainfall data from the Indian Meteorological Department, and Soil and land use information were used to derive the RUSLE factors. Results show that annual soil erosion ranges from < 0.4 to 10.8 tons/ha/year, with higher erosion in pediplains, barrens, and sloped channel paths, while forested and irrigated zones exhibit lower rates. A clear spatial correlation between low NDVI, high rainfall intensity, and elevated erosion rates was observed. The RUSLE model output was validated using 40 geolocated erosion points from Google Earth imagery, yielding an AUC value of 0.823, indicating reliable performance. The study highlights erosion hotspots and recommends targeted conservation measures such as afforestation, contour ploughing, and check dams. The findings provide a spatially explicit erosion risk map, essential for sustainable watershed management and planning, as well as climate-resilient soil conservation strategies in the TRB.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"848"},"PeriodicalIF":2.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144551610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}