Ecotoxicology and Environmental Safety最新文献

{"title":"The mechanism of benzene degradation in groundwater by indigenous microbial degradation from the perspectives of isotopes and microorganisms in cold regions of China","authors":"Dongmei Ruan ,&nbsp;Jianmin Bian ,&nbsp;Juanjuan Wu","doi":"10.1016/j.ecoenv.2025.118181","DOIUrl":"10.1016/j.ecoenv.2025.118181","url":null,"abstract":"<div><div>Groundwater benzene contamination is widespread, threatening ecosystems and human health. However, the biodegradation mechanisms of benzene under microaerobic conditions in cold regions remain poorly understood. This study selected benzene from groundwater in a chemical industrial park in the northeast China, conducting microcosm dynamic experiments to monitor microbial growth, benzene concentration, and carbon isotope changes, using an isotope fractionation model to elucidate microbial degradation patterns. High-throughput sequencing was also employed to explore microbial community dynamics and degradation pathways. The results indicated that indigenous microorganisms exhibited strong tolerance to benzene concentrations of 10, 20, 30 and 50 mg/L, with degradation efficiencies of 63.66 %, 68.26 %, 69.59 % and 67.23 %. The stable carbon isotopes of benzene shifted towards more positive values, increasing by approximately 3 ‰. The enrichment factor (<span><math><msub><mrow><mi>ε</mi></mrow><mrow><mi>c</mi></mrow></msub></math></span>) under microaerobic conditions ranged from −4.5 ‰ to −1.1 ‰. <em>Proteobacteria</em> was the dominant phylum (89.84 %), with <em>Pseudomonas, Acinetobacter, Hydrogenophaga, and Variovorax</em> as key degrading genera. Their abundance first increased and then decreased. Compared to the uncontaminated samples, the abundance increased by 3.1–5.7 times. The key functional genes for benzene degradation include M00548 (<em>dmpK, dmpL, dmpM, dmpN, dmpO, dmpP)</em> and M00547 <em>(todC1, todC2, todB, todA, todD</em>). With the increase in benzene concentration, the functional genes M00548 and M00547 exhibited increases in abundance by factors of 4.407–7.109 and 1.277–6.823, respectively. This elucidates the underlying mechanism behind the changes in benzene degradation efficiency and rate as a function of concentration. The findings provide foundational information to promote the development of more effective bioremediation strategies.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"296 ","pages":"Article 118181"},"PeriodicalIF":6.2,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Combining multi-surface and biotoxicity models to predict cadmium bioavailability and accumulation in a soil collembolan","authors":"Simin Li ,&nbsp;Jiawen Zhou ,&nbsp;Tingting Mu ,&nbsp;Tuozheng Wu ,&nbsp;Zhu Li ,&nbsp;Xin Ke ,&nbsp;Longhua Wu ,&nbsp;Yongming Luo ,&nbsp;Yuanqing Bu","doi":"10.1016/j.ecoenv.2025.118163","DOIUrl":"10.1016/j.ecoenv.2025.118163","url":null,"abstract":"<div><div>The link between internal metal concentrations in soil animals and external metal concentrations is a critical issue in soil ecotoxicity tests and involves metal transfer from solid-liquid interfaces to target soil animals. Soil cadmium (Cd) pollution is a major concern, the bioavailability of Cd to the model soil collembolan <em>Folsomia candida</em> was therefore determined in naturally Cd-contaminated soils by chemical extraction methods and mechanism-based multi-surface models (MSMs). Three combined models were also developed by combining MSMs with a free ion activity model (MSMs-FIAM), a modified biotic ligand model (MSMs-rBLM), and a Gouy-Chapman-Stern model (MSMs-GCSM) to predict Cd bioaccumulation in <em>F. candida</em> in a mechanistic way. MSMs gave better prediction results for Cd bioavailability to <em>F. candida</em> (determination coefficient, R² = 0.667) than other chemical extraction methods (0.01 M CaCl₂, 0.43 M HNO₃, soil solution, DGT, and soil total Cd). MSMs calculated dissolved Cd is an effective indicator of bioavailable Cd to <em>F. candida</em> and allowed prediction under a wide range of soil properties. The combined model MSMs-rBLM more successfully predicted Cd bioaccumulation in <em>F. candida</em> (R² = 0.793, root-mean-square error (RMSE) = 0.172, mean absolute percentage error (MAPE) = 15.4 %) than other combined models and linked the soil-liquid interfaces to the surface of the target soil animal. MSMs-rBLM model may be a new tool for the prediction of Cd ecological risks and bioaccumulation in soils.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"296 ","pages":"Article 118163"},"PeriodicalIF":6.2,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Urinary paraben concentrations among children from the northernmost of Thailand: Cross-sectional study for exposure and health risks","authors":"Pussadee Laor ,&nbsp;Yanin Limpanont ,&nbsp;Suparat Phuanukoonnon ,&nbsp;Younglim Kho ,&nbsp;Kyungho Choi ,&nbsp;Wissanupong Kliengchuay ,&nbsp;Subeen Park ,&nbsp;Kraichat Tantrakarnapa","doi":"10.1016/j.ecoenv.2025.118172","DOIUrl":"10.1016/j.ecoenv.2025.118172","url":null,"abstract":"<div><div>Parabens are widely used as antimicrobial preservatives in foods, personal care, cosmetics, and pharmaceutical products. The metabolization of parabens in the human body is excreted via urine in free plus conjugated forms. Currently, the prevalent use of parabens has increased alarms about health risks linked with endocrine disrupting effects. A cross-sectional study was used to gather information from participants in Chiang Rai province. The purposes of the study are to investigate paraben concentrations in urine, to analyze the correlation of urinary parabens, and to assess health risks among children in pre-schools and primary schools. Overall, 140 first morning void urine samples were collected and measured by LC-MS/MS to determine methyl paraben (MeP), ethyl paraben (EtP), and propyl paraben (PrP). The detection rate and geometric mean without adjusting and adjusting urine specific gravity of MeP, EtP, and PrP in overall samples were (100.00 %; 27.94 µg/L; 30.14 µg/L), (46.43 %; 0.77 µg/L; 0.83 µg/L), and (97.86 %; 2.80 µg/L; 3.02 µg/L), respectively. Almost three urinary paraben concentrations in pre-schools were higher than in primary schools. The highest significant positive correlation of parabens (<em>p</em> &lt; 0.01) was MeP and PrP both in pre-schools and primary schools. The geometric mean of estimated daily intake (EDI _urine) for MeP, EtP, and PrP were 6.27, 0.22, and 1.09 µg/kg-bw/day, respectively. The estimated daily intake and health risks indicated PrP led to potential human health risks at 5.70 % of overall samples. Additionally, Thai children are widely exposed to parabens and relatively higher PrP and MeP exposure than the concentration reported in several countries. This is the first study assessing urinary parabens in Thailand. The finding demonstrates that children’s exposure to parabens in the study areas would impact their health, so there should be confirmation for further management.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"295 ","pages":"Article 118172"},"PeriodicalIF":6.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143806581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Clustering of bisphenols based on toxicity predictions for key aquatic species: Daphnia magna, Pimephales promelas, and Oryzias latipes","authors":"Marjan Vračko,&nbsp;Liadys Mora Lagares","doi":"10.1016/j.ecoenv.2025.118149","DOIUrl":"10.1016/j.ecoenv.2025.118149","url":null,"abstract":"<div><div>The <em>in silico</em> assessment of chemical toxicity is crucial for regulatory frameworks like REACH, which support the use of QSAR models and read-across techniques to predict the properties of compounds. This study addresses the challenge of evaluating bisphenol A (BPA) alternatives, for which specific predictive models are often lacking. Utilizing VEGA software, we examined three ecotoxicological endpoints: toxicity in <em>Daphnia magna</em> (Daphnia magna Acute (EC50) Toxicity model (IRFMN)), <em>Pimephales promelas</em> (Fathead Minnow LC50 96 h toxicity (EPA)), and <em>Oryzias latipes</em> (Fish Acute (LC50) toxicity model (IRFMN)). We employed Self-Organizing Maps (SOM) to cluster bisphenol compounds based on similarities to experimental data from model training sets. Principal Component Analysis (PCA) was used to reduce dimensionality and visualize data, with color-coding to indicate predicted properties. Our results reveal that while BPA is often a cluster indicator due to its extensive inclusion in training sets, BPA alternatives frequently exhibit similar toxicological concerns. The clustering approach provides a nuanced understanding of the potential risks associated with BPA alternatives, suggesting that many may not offer significant safety improvements over BPA itself.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"295 ","pages":"Article 118149"},"PeriodicalIF":6.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Effects of the fungicide penconazole on the leaf litter associated aquatic mycobiome in artificial stream channel and flask experiments","authors":"Steffen Carl ,&nbsp;Christiane Baschien ,&nbsp;Silvia Mohr ,&nbsp;Björn Kusebauch ,&nbsp;Stefan Bader ,&nbsp;Valeska Contardo-Jara ,&nbsp;René Sahm","doi":"10.1016/j.ecoenv.2025.118160","DOIUrl":"10.1016/j.ecoenv.2025.118160","url":null,"abstract":"<div><div>Aquatic fungi play a key role in the turnover of organic matter in freshwater ecosystems, such as leaf litter in streams. Even though agriculturally applied fungicides that reach streams through spray drift or surface runoff may endanger the important functions of these organisms, potential effects of fungicides on the diversity of a complex fungal community are still understudied. We used metabarcoding of fungal DNA to investigate composition changes in a natural leaf litter associated aquatic mycobiome in artificial stream channels and flasks treated with 250 µg/L of the fungicide penconazole. Treated samples were compared with control samples from untreated systems and samples from a reference stream over 21 days. Our results show that differences in community composition between fungicide treated and control samples were weak for leaves that were preconditioned for two weeks in the reference stream prior to exposure. Apart from treatment effects on fungal biomass (in terms of ergosterol content), only the read numbers of two key taxa indicated an abundance shift that was probably induced by the fungicide. In contrast, strong diversity effects were observed during the following long-term recolonization (85 days) of sterilized leaves under penconazole stress, in which the occurrences of key taxa were significantly reduced in fungicide treated stream channels. Our results imply that DNA metabarcoding can be particularly effective to detect changes in fungal communities during the colonization of leaf litter, a crucial process for the following decomposition and the conservation of fungal diversity.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"295 ","pages":"Article 118160"},"PeriodicalIF":6.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Highly efficient photocatalytic degradation of ciprofloxacin under simulated sunlight using g-C3N4/CeO2/Fe3O4 heterogeneous composite","authors":"Mohammad Delnavaz,&nbsp;Shamim Amiri,&nbsp;Sina Najari","doi":"10.1016/j.ecoenv.2025.118175","DOIUrl":"10.1016/j.ecoenv.2025.118175","url":null,"abstract":"<div><div>The presence of antibiotic residues in water bodies has become a serious environmental concern due to their persistence and ability to cause bacterial resistance. Traditional water treatment methods are often ineffective at completely degrading these pollutants, highlighting the need to investigate more effective remediation methods. In this study, the photocatalytic degradation of ciprofloxacin, a widely used fluoroquinolone antibiotic, was investigated using a novel heterogeneous composite of g-C₃N₄, CeO₂, and Fe₃O₄ under simulated sunlight irradiation. The composite was synthesized and thoroughly characterized using SEM, EDX, TEM, XRD, BET, PL, RIS, and FT-IR analysis to validate its structural and morphological properties. The effects of key operational parameters, including composite concentration, CeO₂ weight percentage, pH, and H₂O₂ concentration, on photocatalytic performance were investigated. Among all the synthesized composites, the sample with a 0.75:0.75:1 wt ratio (designated as F0.75C0.75 G) displayed the highest photocatalytic activity, achieving a ciprofloxacin removal efficiency of 97.5 % within 180 min. The ternary composite outperformed individual components (g-C₃N₄, CeO₂) and binary composites (g-C₃N₄/CeO₂) due to enhanced charge separation and extended light absorption. In addition, recyclability tests confirmed that the composite maintained high degradation efficiency even after five cycles, highlighting its stability. The treated solution demonstrated excellent biocompatibility, as evidenced by improved lentil seed germination. These findings presents a cost-effective and sustainable approach for the degradation of pharmaceutical pollutants in water resources, offering a promising solution for environmental remediation.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"295 ","pages":"Article 118175"},"PeriodicalIF":6.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Selenomethionine combined with allicin delays reactive oxidative stress-induced apoptosis, inflammation, endoplasmic reticulum stress, and barrier damage in IPEC-J2 cells via the GPX4 signaling pathway","authors":"Runan Zuo ,&nbsp;Ruichao Li ,&nbsp;Zeyuan Sun ,&nbsp;Yongshi Liu","doi":"10.1016/j.ecoenv.2025.118144","DOIUrl":"10.1016/j.ecoenv.2025.118144","url":null,"abstract":"<div><div>To increase livestock productivity and improve economic efficiency, farms tend to focus on the growth rate of livestock and poultry. This strategy can result in a reduced resistance to reactive oxidative stress (ROS) and heat stress. Selenomethionine (SeMet) and allicin have antioxidant properties, but their excessive intake can lead to toxicity. Co-administration improves antioxidant protection and reduces side-effects but also reduces the cost of administration. We undertook a study to elucidate the antioxidant effect of glutathione peroxidase (GPX) 4 in SeMet and allicin. The synergistic antioxidant effect, attenuation of endoplasmic reticulum stress (ERS), enhancement of expression of tight-junction proteins, and inhibition of apoptosis, ferroptosis, inflammatory responses of SeMet and allicin were attenuated significantly after inhibition of GPX4 according to western blotting (<em>P</em> &lt; 0.05). These results indicated that activation of the GPX4 pathway was the key to the synergistic maintenance of barrier function, attenuation of ERS, as well as inhibition of apoptosis, ferroptosis, and inflammatory responses by SeMet and allicin. SeMet and allicin could protect the intestinal barrier from oxidative damage by synergistically activating the GPX4 pathway, increasing antioxidant capacity, and improving growth performance. In conclusion, SeMet and allicin could be used as a new drug combination to alleviate diseases associated with intestinal ROS and aid in the development of new antioxidant feed additives.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"295 ","pages":"Article 118144"},"PeriodicalIF":6.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143806588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Curcumin alleviates atrazine-induced nephrotoxicity by enhancing mitophagy through PINK1/Parkin signaling pathway in mice","authors":"Zhenyu Zou ,&nbsp;Xinyi Cheng ,&nbsp;Jinyan Chen,&nbsp;Chenghong Xing,&nbsp;Caiying Zhang,&nbsp;Xiaoquan Guo,&nbsp;Huabing Cao,&nbsp;Guoliang Hu,&nbsp;Yu Zhuang","doi":"10.1016/j.ecoenv.2025.118118","DOIUrl":"10.1016/j.ecoenv.2025.118118","url":null,"abstract":"<div><div>Atrazine (ATR), a widely used herbicide, poses significant environmental and health risks due to its high solubility and adsorption in soil. ATR exposure can lead to nephrotoxicity in humans and animals. Curcumin (Cur), an active compound in <em>Curcuma</em> species, is renowned for its antioxidant and anti-inflammatory properties, with potential to mitigate chronic disease risks. We hypothesized that the addition of Cur could alleviate renal impairment associated with ATR exposure and carried out experiments using mice as subjects. This study investigates whether Cur can attenuate ATR-induced nephrotoxicity in mice by modulating mitophagy and apoptotic pathways. Our findings illustrate that consumption with Cur attenuates nephrotoxicity induced by ATR, as evidenced by lowered serum concentrations of uric acid (UA), blood urea nitrogen (BUN), and creatinine (CRE), established biomarkers of renal injury. Moreover, Curcumin enhances renal antioxidant defense mechanisms in ATR-exposed mice, as indicated by elevated levels of total antioxidant capacity (T-AOC), catalase (CAT), and glutathione peroxidase (GSH-Px), alongside reduced levels of malondialdehyde (MDA). Histopathological and electron microscopy analyses further corroborate these findings, showing reduced organelle damage, particularly mitochondrial ridge breakage and vacuolization, and increased autophagic lysosomes. Cur further enhances PINK1/Parkin-mediated autophagy, as evidenced by elevated levels of PINK1, Parkin, LC3BII, and P62 compared to ATR-treated mice. Moreover, Cur mitigates the mitochondrial apoptotic pathway, indicated by the down-regulation of apoptosis-related genes (Cytochrome C (Cyto-C), Caspase3, Caspase9) and the pro-apoptotic marker (Bax), along with the up-regulation of the anti-apoptotic marker (Bcl-2) at both transcriptional and translational levels compared to ATR-treated mice. In summary, Cur demonstrates nephroprotective properties against ATR-induced injury through the enhancement of mitochondrial autophagy and display of anti-apoptotic actions, underscoring its curative potency as a treatment for nephrotoxicity caused by ATR.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"295 ","pages":"Article 118118"},"PeriodicalIF":6.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143806900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Prenatal stress increases learning and memory deficits in offspring: A toxicological study on hippocampal neuronal damage in rats","authors":"Ruixue Huang ,&nbsp;Jing Li ,&nbsp;Jiani Xiao ,&nbsp;Ping Ma ,&nbsp;Ni Liu ,&nbsp;Yuan Xue ,&nbsp;Qihong Deng","doi":"10.1016/j.ecoenv.2025.118167","DOIUrl":"10.1016/j.ecoenv.2025.118167","url":null,"abstract":"<div><h3>Background</h3><div>Recent epidemiological studies have observed that prenatal stress induced learning and memory deficits in children, but the toxicological mechanisms remain unclear.</div></div><div><h3>Objectives</h3><div>We conducted a systematic study to explore the toxicological mechanisms of prenatal stress on learning and memory in offspring.</div></div><div><h3>Methods</h3><div>We established a prenatal stress model by corticosterone (CORT) administration at different dose levels (0, 10, 40 mg/kg) from gestational days 14–21. First we assessed hippocampal damage in the offspring by the neuronal damage, synaptic damage, and neurotransmitter levels. We then detected learning and memory ability by Morris water maze test, and finally we analyzed biomarkers of oxidative stress and apoptosis to explore the potential mechanism.</div></div><div><h3>Results</h3><div>Prenatal stress induced by CORT administration was indicated by decreased body weight, increased serum CORT and reduced food consumption (<em>p</em> &lt; 0.05). With prenatal stress increasing, hippocampal damage in the offspring worsened, characterized by damaged neurons, decreased synaptic proteins, and reduced neurotransmitters. Learning and memory deficits were observed, including long escape latency and increased travel distance to find the platform in the Morris water maze test (<em>p</em> &lt; 0.05).The potential toxicological mechanisms underlying the learning and memory impairments were indicated by biomarkers: decreased antioxidant enzymes (SOD and T-AOC), increased pro-inflammatory cytokines (IL-6) and apoptosis (<em>p</em> &lt; 0.05).</div></div><div><h3>Conclusion</h3><div>Prenatal stress leads to hippocampus-dependent learning and memory impairments by neuron loss, synaptic injury, and reduced neurotransmitters. Our study implies that improving maternal well-being is helpful for the learning and memory development of the next generation.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"295 ","pages":"Article 118167"},"PeriodicalIF":6.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143814749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Assessing the ecotoxicological risk of nicosulfuron on maize using multi-source phenotype data and hyperspectral imaging","authors":"Tianpu Xiao ,&nbsp;Li Yang ,&nbsp;Xiantao He ,&nbsp;Liangju Wang ,&nbsp;Dongxing Zhang ,&nbsp;Tao Cui ,&nbsp;Kailiang Zhang ,&nbsp;Hongsheng Li ,&nbsp;Zhimin Li ,&nbsp;Jiaqi Dong","doi":"10.1016/j.ecoenv.2025.118176","DOIUrl":"10.1016/j.ecoenv.2025.118176","url":null,"abstract":"<div><div>Herbicide-induced toxicity in maize crops poses significant challenges for agricultural management. Traditional assessment methods for herbicide toxicity in crops often show inconsistent accuracy. This study explores rapid and non-invasive techniques for evaluating herbicide toxicity, focusing on the physiological, biochemical, and growth responses of maize varieties subjected to two concentrations of nicosulfuron. We developed a comprehensive toxicity evaluation model to classify samples into three toxicity levels, showing a strong correlation (r = 0.95) with traditional tassel stage toxicity assessments. Additionally, we used hyperspectral imaging coupled with deep learning techniques to predict early toxicity levels in maize following herbicide exposure. After 4 days of herbicide treatment, our ToxicNet model using spectral data achieved an impressive 89.66 % accuracy in predicting nicosulfuron toxicity levels, facilitating early detection. Furthermore, by integrating leaf spectral data, Soil-Plant Analysis Development (SPAD) values and water content, the ToxicNet-MS model achieved a remarkable prediction accuracy of 91.38 %. Notably, this model demonstrated robust generalization across different years and planting seasons, with accuracies of 83.33 % and 89.89 %, respectively. These results significantly outperformed traditional machine learning methods (Support Vector Machine, Random Forest), classical deep learning models (Multilayer Perceptron, AlexNet), and the spectral-based ToxicNet model. This advancement offers a promising, early, and non-invasive solution for assessing herbicide-induced toxicity in maize crops, ultimately benefiting both sustainable agricultural practices and effective crop management.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"295 ","pages":"Article 118176"},"PeriodicalIF":6.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143806590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}