IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-03-26 DOI: 10.1007/s11571-025-10237-x

Xiaoxin Ren, Yimeng Wang, Xin Li, Xueling Wang, Zhaodi Liu, Jiajia Yang, Ling Wang, Chenguang Zheng

{"title":"Attenuated heterogeneity of hippocampal neuron subsets in response to novelty induced by amyloid-β.","authors":"Xiaoxin Ren, Yimeng Wang, Xin Li, Xueling Wang, Zhaodi Liu, Jiajia Yang, Ling Wang, Chenguang Zheng","doi":"10.1007/s11571-025-10237-x","DOIUrl":"10.1007/s11571-025-10237-x","url":null,"abstract":"Alzheimer's disease (AD) patients exhibited episodic memory impairments including location-object recognition in a spatial environment, which was also presented in animal models with amyloid-β (Aβ) accumulation. A potential cellular mechanism was the unstable representation of spatial information and lack of discrimination ability of novel stimulus in the hippocampal place cells. However, how the firing characteristics of different hippocampal subsets responding to diverse spatial information were interrupted by Aβ accumulation remains unclear. In this study, we observed impaired novel object-location recognition in Aβ-treated Long-Evans rats, with larger receptive fields of place cells in hippocampal CA1, compared with those in the saline-treated group. We identified two subsets of place cells coding object information (ObjCell) and global environment (EnvCell) during the task, with firing heterogeneity in response to introduced novel information. ObjCells displayed a dynamic representation responding to the introduction of novel information, while EnvCells exhibited a stable representation to support the recognition of the familiar environment. However, the dynamic firing patterns of these two subsets of cells were disrupted to present attenuated heterogeneity under Aβ accumulation. The impaired spatial representation novelty information could be due to the disturbed gamma modulation of neural activities. Taken together, these findings provide new evidence for novelty recognition impairments of AD rats with spatial representation dysfunctions of hippocampal subsets.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"56"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11947398/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143751144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic modeling of astrocyte-neuron interactions under the influence of Aβ deposition. Aβ沉积影响下星形胶质细胞-神经元相互作用的动态建模。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-04-10 DOI: 10.1007/s11571-025-10246-w

JiangNing Wang, XiaoLi Yang

{"title":"Dynamic modeling of astrocyte-neuron interactions under the influence of Aβ deposition.","authors":"JiangNing Wang, XiaoLi Yang","doi":"10.1007/s11571-025-10246-w","DOIUrl":"10.1007/s11571-025-10246-w","url":null,"abstract":"β-amyloid (Aβ) protein accumulation is recognized as a key factor in Alzheimer's disease (AD) pathogenesis. Its effects on astrocyte function appear primarily as disturbances to intracellular calcium signaling, which, in turn, affects neuronal excitability. We propose an innovative neuron-astrocyte interaction model to examine how Aβ accumulation influences astrocyte calcium oscillation and neuronal excitability, emphasizing its significance in AD pathogenesis. This comprehensive model describes not only the response of the astrocyte to presynaptic neuron stimulation but also the release of the downstream signaling glutamate and its consequential feedback on neurons. Our research concentrates on changes within two prominent pathways affected by Aβ: the creation of Aβ astrocyte membrane pores and the enhanced sensitivity of ryanodine receptors. By incorporating these adjustments into our astrocyte model, we can reproduce previous experimental findings regarding aberrant astrocyte calcium activity and neural behavior associated with Aβ from a neural computational viewpoint. Within a specified range of Aβ influence, our numerical analysis reveals that astrocyte cytoplasmic calcium rises, calcium oscillation frequency increases, and the time to the first calcium peak shortens, indicating the disrupted astrocyte calcium signaling. Simultaneously, the neuronal firing rate and cytosolic calcium concentration increase while the threshold current for initiating repetitive firing diminishes, implying heightened neuronal excitability. Given that increased neuronal excitability commonly occurs in early AD patients and correlates with cognitive decline, our findings may highlight the importance of Aβ accumulation in AD pathogenesis and provide a theoretical basis for identifying neuronal markers in the early stages of the disease.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"60"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11985881/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143961717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multilevel Inter-modal and Intra-modal Transformer network with domain adversarial learning for multimodal sleep staging. 基于领域对抗学习的多模态睡眠分期的多级模间和模内变压器网络。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-05-26 DOI: 10.1007/s11571-025-10262-w

Yang-Yang He, Jian-Wei Liu

{"title":"Multilevel Inter-modal and Intra-modal Transformer network with domain adversarial learning for multimodal sleep staging.","authors":"Yang-Yang He, Jian-Wei Liu","doi":"10.1007/s11571-025-10262-w","DOIUrl":"10.1007/s11571-025-10262-w","url":null,"abstract":"Sleep staging identification is a fundamental task for the diagnosis of sleep disorders. With the development of biosensing technology and deep learning technology, it is possible to automatically decode sleep process through electroencephalogram signals. However, most sleep staging methods do not consider multimodal sleep signals such as electroencephalogram and electrooculograms signals simultaneously for sleep staging due to the limitation of performance improvement. To this regard, we design a Multilevel Inter-modal and Intra-modal Transformer network with domain adversarial learning for multimodal sleep staging, we introduce a multilevel Transformer structure to fully capture the temporal dependencies within sleep signals of each modality and the interdependencies among different modalities. Simultaneously, we strive for the multi-scale CNNs to learn time and frequency features separately. Our research promotes the application of Transformer models in the field of sleep staging identification. Moreover, considering individual differences among subjects, models trained on one group's data often perform poorly when applied to another group, known as the domain generalization problem. While domain adaptation methods are commonly used, fine-tuning on the target domain each time is cumbersome and impractical. To effectively address these issues without using target domain information, we introduce domain adversarial learning to help the model learn domain-invariant features for better generalization across domains. We validated the superiority of our model on two commonly used datasets, significantly outperforming other baseline models. Our model efficiently extracts dependencies of intra-modal level and inter-modal level from multimodal sleep data, making it suitable for scenarios requiring high accuracy.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"80"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12106285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MBRSTCformer: a knowledge embedded local-global spatiotemporal transformer for emotion recognition. MBRSTCformer：一种知识嵌入的局部-全局时空转换器，用于情感识别。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-06-17 DOI: 10.1007/s11571-025-10277-3

Chenglin Lin, Huimin Lu, Chenyu Pan, Songzhe Ma, Zexing Zhang, Runhui Tian

{"title":"MBRSTCformer: a knowledge embedded local-global spatiotemporal transformer for emotion recognition.","authors":"Chenglin Lin, Huimin Lu, Chenyu Pan, Songzhe Ma, Zexing Zhang, Runhui Tian","doi":"10.1007/s11571-025-10277-3","DOIUrl":"10.1007/s11571-025-10277-3","url":null,"abstract":"Emotion recognition is an essential prerequisite for realizing generalized BCI, which possesses an extensive range of applications in real life. EEG-based emotion recognition has become mainstream due to its real-time mapping of brain emotional activities, so a robust EEG-based emotion recognition model is of great interest. However, most existing deep learning emotion recognition methods treat the EEG signal as a whole feature extraction, which will destroy its local stimulation differences and fail to extract local features of the brain region well. Inspired by the cognitive mechanisms of the brain, we propose the multi-brain regions spatiotemporal collaboration transformer (MBRSTCfromer) framework for EEG-based emotion recognition. First, inspired by the prior knowledge, we propose the Multi-Brain Regions Collaboration Network. The EEG data are processed separately after being divided by brain regions, and stimulation scores are presented to quantify the stimulation produced by different brain regions and feedback on the stimulation degree to the MBRSTCfromer. Second, we propose a Cascade Pyramid Spatial Fusion Temporal Convolution Network for multi-brain regions EEG features fusion. Finally, we conduct comprehensive experiments on two mainstream emotion recognition datasets to validate the effectiveness of our proposed MBRSTCfromer framework. We achieved 98.63 <math><mo>%</mo></math> , 98.15 <math><mo>%</mo></math> , and 98.58 <math><mo>%</mo></math> accuracy on the three dimensions (arousal, valence, and dominance) on the DEAP dataset; and 97.66 <math><mo>%</mo></math> , 97.07 <math><mo>%</mo></math> , and 97.97 <math><mo>%</mo></math> on the DREAMER dataset.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"95"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12174000/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

EA-EEG: a novel model for efficient motor imagery EEG classification with whitening and multi-scale feature integration. EA-EEG：一种基于白化和多尺度特征融合的运动意象脑电分类新模型。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-06-17 DOI: 10.1007/s11571-025-10278-2

Yutao Miao, Kaijie Li, Wenhao Zhao, Yushi Zhang

{"title":"EA-EEG: a novel model for efficient motor imagery EEG classification with whitening and multi-scale feature integration.","authors":"Yutao Miao, Kaijie Li, Wenhao Zhao, Yushi Zhang","doi":"10.1007/s11571-025-10278-2","DOIUrl":"10.1007/s11571-025-10278-2","url":null,"abstract":"Electroencephalography (EEG) is a non-invasive technique widely used in neuroscience and brain-computer interfaces (BCI) due to its high temporal resolution. In motor imagery EEG (MI-EEG) tasks, EEG signals reflect movement-related brain activity, making them ideal for BCI control. However, the non-stationary nature of MI-EEG signals poses significant challenges for classification, as frequency characteristics vary across tasks and individuals. Traditional preprocessing methods, such as bandpass filtering and standardization, may struggle to adapt to these variations, potentially limiting classification performance. To address this issue, this study introduces EA-EEG, an improved MI-EEG classification model that incorporates whitening as a preprocessing step to reduce channel correlation and enhance the model feature extraction ability. EA-EEG further leverages a multi-scale pooling strategy, combining convolutional networks and root mean square pooling to extract key spatial and temporal features, and applies prototype-based classification to improve MI-EEG classification performance. Experiments on the BCI4-2A and BCI4-2B datasets demonstrate that EA-EEG achieves state-of-the-art performance, with 85.33% accuracy (Kappa = 0.804) on BCI4-2A and 88.05% accuracy (Kappa = 0.761) on BCI4-2B, surpassing existing approaches. These results confirm EA-EEG's effectiveness in handling non-stationary MI-EEG signals, demonstrating its potential for robust BCI applications, including rehabilitation, prosthetic control, and cognitive monitoring.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"94"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12173996/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiplex CRISPR/Cas9-mediated genome editing to address drought tolerance in wheat. 多重 CRISPR/Cas9 介导的基因组编辑，解决小麦的耐旱性问题。

IF 4.5 2区农林科学

Gm Crops & Food-Biotechnology in Agriculture and the Food Chain Pub Date : 2025-12-01 Epub Date: 2022-10-06 DOI: 10.1080/21645698.2022.2120313

Naglaa A Abdallah, Hany Elsharawy, Hamiss A Abulela, Roger Thilmony, Abdelhadi A Abdelhadi, Nagwa I Elarabi

{"title":"Multiplex CRISPR/Cas9-mediated genome editing to address drought tolerance in wheat.","authors":"Naglaa A Abdallah, Hany Elsharawy, Hamiss A Abulela, Roger Thilmony, Abdelhadi A Abdelhadi, Nagwa I Elarabi","doi":"10.1080/21645698.2022.2120313","DOIUrl":"10.1080/21645698.2022.2120313","url":null,"abstract":"Genome editing tools have rapidly been adopted by plant scientists for crop improvement. Genome editing using a multiplex sgRNA-CRISPR/Cas9 genome editing system is a useful technique for crop improvement in monocot species. In this study, we utilized precise gene editing techniques to generate wheat 3'(2'), 5'-bisphosphate nucleotidase (TaSal1) mutants using a multiplex sgRNA-CRISPR/Cas9 genome editing system. Five active TaSal1 homologous genes were found in the genome of Giza168 in addition to another apparently inactive gene on chromosome 4A. Three gRNAs were designed and used to target exons 4, 5 and 7 of the five wheat TaSal1 genes. Among the 120 Giza168 transgenic plants, 41 lines exhibited mutations and produced heritable TaSal1 mutations in the M1 progeny and 5 lines were full 5 gene knock-outs. These mutant plants exhibit a rolled-leaf phenotype in young leaves and bended stems, but there were no significant changes in the internode length and width, leaf morphology, and stem shape. Anatomical and scanning electron microscope studies of the young leaves of mutated TaSal1 lines showed closed stomata, increased stomata width and increase in the size of the bulliform cells. Sal1 mutant seedlings germinated and grew better on media containing polyethylene glycol than wildtype seedlings. Our results indicate that the application of the multiplex sgRNA-CRISPR/Cas9 genome editing is efficient tool for mutating more multiple TaSal1 loci in hexaploid wheat.","PeriodicalId":54282,"journal":{"name":"Gm Crops & Food-Biotechnology in Agriculture and the Food Chain","volume":" ","pages":"1-17"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33490173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Teaching CORnet human fMRI representations for enhanced model-brain alignment. 教学CORnet人类fMRI表征增强模型-脑对齐。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-04-15 DOI: 10.1007/s11571-025-10252-y

Zitong Lu, Yile Wang

{"title":"Teaching CORnet human fMRI representations for enhanced model-brain alignment.","authors":"Zitong Lu, Yile Wang","doi":"10.1007/s11571-025-10252-y","DOIUrl":"https://doi.org/10.1007/s11571-025-10252-y","url":null,"abstract":"Deep convolutional neural networks (DCNNs) have demonstrated excellent performance in object recognition and have been found to share some similarities with brain visual processing. However, the substantial gap between DCNNs and human visual perception still exists. Functional magnetic resonance imaging (fMRI) as a widely used technique in cognitive neuroscience can record neural activation in the human visual cortex during the process of visual perception. Can we teach DCNNs human fMRI signals to achieve a more brain-like model? To answer this question, this study proposed ReAlnet-fMRI, a model based on the SOTA vision model CORnet but optimized using human fMRI data through a multi-layer encoding-based alignment framework. This framework has been shown to effectively enable the model to learn human brain representations. The fMRI-optimized ReAlnet-fMRI exhibited higher similarity to the human brain than both CORnet and the control model in within- and across-subject as well as within- and across-modality model-brain (fMRI and EEG) alignment evaluations. Additionally, we conducted an in-depth analysis to investigate how the internal representations of ReAlnet-fMRI differ from CORnet in encoding various object dimensions. These findings provide the possibility of enhancing the brain-likeness of visual models by integrating human neural data, helping to bridge the gap between computer vision and visual neuroscience.Supplementary information: The online version contains supplementary material available at 10.1007/s11571-025-10252-y.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"61"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11999921/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143985806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correlation of MicroRNA-31 with Endometrial Receptivity in Patients with Repeated Implantation Failure of In Vitro Fertilization and Embryo Transfer. 体外受精和胚胎移植反复着床失败患者的MicroRNA-31与子宫内膜容受性的关系

IF 1.6 4区生物学

Organogenesis Pub Date : 2025-12-01 Epub Date: 2025-02-23 DOI: 10.1080/15476278.2025.2460263

Yan Tan, Bijun Du, Xixi Chen, Minhong Chen

{"title":"Correlation of MicroRNA-31 with Endometrial Receptivity in Patients with Repeated Implantation Failure of In Vitro Fertilization and Embryo Transfer.","authors":"Yan Tan, Bijun Du, Xixi Chen, Minhong Chen","doi":"10.1080/15476278.2025.2460263","DOIUrl":"10.1080/15476278.2025.2460263","url":null,"abstract":"Objective: This trial probed the correlation between miR-31 expression and endometrial receptivity (ER) in patients with repeated implantation failure (RIF) of in vitro fertilization and embryo transfer (IVF-ET).Methods: A retrospective study of 80 infertility patients who underwent IVF-ET assisted conception treatment were divided into RIF group and normal pregnancy group (control group) according to the pregnancy outcome after embryo transfer. General information of both groups was collected. Endometrial tissues were collected in the middle luteal phase of the menstrual cycle before IVF-ET. miR-31 levels in endometrial tissues were measured, and endometrial tolerance indicator pulsatility index (PI), resistance index (RI), and endometrial thickness (Em) were detected. The correlation between endometrial miR-31 levels and ER indices was evaluated by Pearson method. ROC curves were utilized to analyze the efficacy of miR-31 in predicting RIF occurrence. The influencing factors of RIF were analyzed by binary Logistic regression.Results: RIF patients had increased miR-31 expression level and endometrial tolerance indicator PI, and RI while decreased Em (p < 0.05). miR-31 in RIF patients was positively correlated with PI and RI, and negatively correlated with Em (p < 0.05). The area under the curve for miR-31 to predict the occurrence of RIF was 0.899, with a sensitivity of 0.750 and a specificity of 0.950. PI, RI, and miR-31 were risk factors for developing RIF in IVF-ET women, and Em was a protective factor (p < 0.05).Conclusion: miR-31 in RIF patients is positively correlated with PI and RI, and negatively correlated with Em.","PeriodicalId":19596,"journal":{"name":"Organogenesis","volume":"21 1","pages":"2460263"},"PeriodicalIF":1.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11853553/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143483502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Antimicrobial capping agents on silver nanoparticles made via green method using natural products from banana plant waste. 利用香蕉植物废料中的天然产物，通过绿色方法制备纳米银抗菌封盖剂。

IF 4.5 3区生物学

Artificial Cells, Nanomedicine, and Biotechnology Pub Date : 2025-12-01 Epub Date: 2025-02-07 DOI: 10.1080/21691401.2025.2462335

Jimmy K Kabeya, Nadège K Ngombe, Paulin K Mutwale, Justin B Safari, Gauta Gold Matlou, Rui W M Krause, Christian I Nkanga

{"title":"Antimicrobial capping agents on silver nanoparticles made via green method using natural products from banana plant waste.","authors":"Jimmy K Kabeya, Nadège K Ngombe, Paulin K Mutwale, Justin B Safari, Gauta Gold Matlou, Rui W M Krause, Christian I Nkanga","doi":"10.1080/21691401.2025.2462335","DOIUrl":"10.1080/21691401.2025.2462335","url":null,"abstract":"Herein, we investigated the phytochemical composition and antibacterial activities of the organic layers from biosynthesized silver nanoparticles (AgNPs). AgNPs were synthesized using Musa paradisiaca and Musa sapientum extracts. UV-vis absorption in the 400-450 nm range indicated surface plasmonic resonance peak of AgNPs. Samples analyses using dynamic light scattering and transmission electron microscopy revealed the presence of particles within nanometric ranges, with sizes of 30-140 nm and 8-40 nm, respectively. Fourier transform infrared (FTIR) unveiled the presence of several organic functional groups on the surface of AgNPs, indicating the presence of phytochemicals from plant extracts. Thin layer chromatography (TLC) of the phytochemicals (capping agents) from AgNPs identified multiple groups of secondary metabolites. These phytochemical capping agents exhibited antibacterial activities against Staphylococcus aureus, Escherichia coli, and Pseudomonas aeruginosa, with minimum inhibitory concentrations ranging from 62.5 to 1000 µg/mL. Regardless of the bacterial species or plant parts (leaves or pseudo-stems), capping agents from M. sapientum nanoparticles displayed significantly enhanced antibacterial effectiveness compared to all other samples, including the raw plant extracts and biosynthesized capped and uncapped AgNPs. These results suggest the presence of antimicrobial phytochemicals on biosynthesized AgNPs, highlighting the promise of green nanoparticle synthesis as a valuable approach in bioprospecting antimicrobial agents.","PeriodicalId":8736,"journal":{"name":"Artificial Cells, Nanomedicine, and Biotechnology","volume":"53 1","pages":"29-42"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Green synthesis of silver nanoparticles for functional cotton fabrics: antimicrobial efficacy against multidrug-resistant bacteria and cytotoxicity evaluation. 功能棉织物用纳米银的绿色合成：对多重耐药细菌的抗菌效果及细胞毒性评价。

IF 4.5 3区生物学

Artificial Cells, Nanomedicine, and Biotechnology Pub Date : 2025-12-01 Epub Date: 2025-04-01 DOI: 10.1080/21691401.2025.2485115

Sérgio Antunes Filho, Clara M Almeida, Maria Teresa Villela Romanos, Bianca Pizzorno Backx, Raquel Regina Bonelli

{"title":"Green synthesis of silver nanoparticles for functional cotton fabrics: antimicrobial efficacy against multidrug-resistant bacteria and cytotoxicity evaluation.","authors":"Sérgio Antunes Filho, Clara M Almeida, Maria Teresa Villela Romanos, Bianca Pizzorno Backx, Raquel Regina Bonelli","doi":"10.1080/21691401.2025.2485115","DOIUrl":"10.1080/21691401.2025.2485115","url":null,"abstract":"Bacterial infections associated with healthcare are a challenge on a global scale due to the high morbidity and mortality rates, especially those caused by multidrug-resistant isolates. Hospital textiles are abiotic surfaces that may serve as a means of disseminating and persisting microorganisms in hospitals, as microorganisms can remain viable on these surfaces for up to months. In this study, we employed a green synthesis approach utilizing guava leaf extract (Psidium guajava) to produce silver nanoparticles, which were then incorporated into a cotton fabric. Antimicrobial properties and the cytotoxicity of the functional textile were assessed. The finding indicated that the green synthesis method was efficient and resulted in a predominant population of nanoparticles with diameters ranging from 25 to 84 nm that were uniformly dispersed in the textile. The functional textile exhibited low toxicity and high antimicrobial efficiency, even against multidrug-resistant microorganisms of particular concern in hospital settings. Atomic force microscopy carried out evidenced invaginations in the cell wall of bacteria submitted to this textile, suggesting surface damage as an important mechanism of action silver nanoparticles incorporated.","PeriodicalId":8736,"journal":{"name":"Artificial Cells, Nanomedicine, and Biotechnology","volume":"53 1","pages":"153-165"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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