Synthesis, characterization and application of intracellular Ag/AgCl nanohybrids biosynthesized in Scenedesmus sp. as neutral lipid inducer and antibacterial agent

Kashyap, Mrinal; Samadhiya, Kanchan; Ghosh, Atreyee; Anand, Vishal; Lee, Hyunju; Sawamoto, Naomi; Ogura, Atsushi; Ohshita, Yoshio; Shirage, Parasharam M.; Kiran, Boggavarapu

doi:10.1016/j.envres.2021.111499

Cited by 18 publications

(10 citation statements)

References 46 publications

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“…It should be noted that presence of both Ag and AgCl phases was confirmed by using Scenedesmus sp green microalgae culture for intracellular production of NPs while their crystallite size was not evaluated [50]. Current research on Ag NPs utilizing S. platensis confirmed the presence of Ag phase [20,21].…”

Section: Plos Onementioning

confidence: 98%

Characterization of nanomaterials synthesized from Spirulina platensis extract and their potential antifungal activity

et al. 2022

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Nowadays, fungal infections increase, and the demand of novel antifungal agents is constantly rising. In the present study, silver, titanium dioxide, cobalt (II) hydroxide and cobalt (II,III) oxide nanomaterials have been synthesized from Spirulina platensis extract. The synthesis mechanism has been studied using GCMS and FTIR thus confirming the involvement of secondary metabolites, mainly amines. The obtained products have been analysed using XRD, SEM, TGA and zeta potential techniques. The findings revealed average crystallite size of 15.22 nm with 9.72 nm for oval-shaped silver nanoparticles increasing to 26.01 nm and 24.86 nm after calcination and 4.81 nm for spherical-shaped titanium dioxide nanoparticles which decreased to 4.62 nm after calcination. Nanoflake shape has been observed for cobalt hydroxide nanomaterials and for cobalt (II, III) oxide with crystallite size of 3.52 nm and 13.28 nm, respectively. Silver nanoparticles showed the best thermal and water dispersion stability of all the prepared structures. Once subjected to three different Candida species (C. albicans, C. glabrata, and C. krusei) silver nanoparticles and cobalt (II) hydroxide nanomaterials showed strong antifungal activity at 50 μg/mL with minimum inhibitory concentration (MIC) values. After light exposition, MIC values for nanomaterials decreased (to 12.5 μg/mL) for C. krusei and increased (100 μg/mL) for C. albicans and C. glabrata.

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Section: Plos Onementioning

confidence: 98%

Characterization of nanomaterials synthesized from Spirulina platensis extract and their potential antifungal activity

et al. 2022

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“…[26,27] Antibacterial action has been observed for terpenoids such as 2,3-oxidosqualene. [28] Grape seed extract has pharmacological activities, such as antioxidant, anti-inflammatory, and antibacterial properties. [29] Using grape seed extract gives value to agricultural waste products while also providing a sustainable and eco-friendly substitute for conventional synthesis methods, which usually involve hazardous chemicals.…”

Section: Introductionmentioning

confidence: 99%

“…These seeds are rich in functional compounds, including anthocyanins and phenols, which have free‐radical‐scavenging properties [26,27] . Antibacterial action has been observed for terpenoids such as 2,3‐oxidosqualene [28] . Grape seed extract has pharmacological activities, such as antioxidant, anti‐inflammatory, and antibacterial properties [29] .…”

Section: Introductionmentioning

confidence: 99%

“Enhancing Fruit Preservation: Fungal Growth Inhibition with Grape Seed‐Mediated Ag@AgCl Nanoparticles through Desirability‐Based Optimization”

Prakash,

Rajeshkumar,

Khan

et al. 2024

ChemistrySelect

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Biological processes were used to create Ag@AgCl nanoparticles in an eco‐friendly manner. Grape seed extracts were used to create Ag@AgCl nanoparticles for this study. The antifungal activity of nanoparticles was tested using fruit‐rotting fungi. UV‐Vis spectrophotometry was used to analyze the nanoparticles to determine the extent of surface plasmon resonance (SPR) band formation. The phytochemicals employed in nanoparticle synthesis were studied using Fourier transform infrared spectroscopy (FT‐IR). X‐ray diffraction (XRD) studies revealed that the Ag@AgCl nanoparticles were crystalline. Field‐emission scanning electron microscopy (FE‐SEM) was used to determine the morphological structure of the nanoparticles. FE‐SEM images determined the average particle size of Ag@AgCl. Energy‐dispersive X‐ray spectroscopy (EDAX was used to examine the elemental composition. Transmission electron microscopy (TEM) and atomic force microscopy (AFM) were employed. Fungi that cause fruit deterioration have been isolated from bananas and papaya fruits. The Ag@AgCl nanoparticles were evaluated for fungal activity against Rhizopus stolonifer, Alternaria species, Aspergillus niger, Aspergillus fumigatus, and Fusarium oxosporum. An agar‐well diffusion study indicated that these nanoparticles had good antifungal sensitivity against fungal infections. However, this study was adequate to allow the inhibitory activity to proceed to the optimization phase, where we dealt with RSM‐based desirability function prediction. The results also demonstrate that the model performs well, implying that it can provide an accurate estimate of output. usingthe impact,the desirability of each factorzoneson

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“…In addition, Scenedesmus is also a freshwater planktonic algae microorganism, which is usually composed of four to eight cells. Scenedesmus has strong resistance to organic pollutants, and plays a vital role in water self-purification and sewage purification (Kashyap et al, 2021 ). The images of the EMs proposed above are shown in Figure 1 .…”

Section: Introductionmentioning

confidence: 99%

EMDS-7: Environmental microorganism image dataset seventh version for multiple object detection evaluation

Yang

Zhao

et al. 2023

Front. Microbiol.

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Nowadays, the detection of environmental microorganism indicators is essential for us to assess the degree of pollution, but the traditional detection methods consume a lot of manpower and material resources. Therefore, it is necessary for us to make microbial data sets to be used in artificial intelligence. The Environmental Microorganism Image Dataset Seventh Version (EMDS-7) is a microscopic image data set that is applied in the field of multi-object detection of artificial intelligence. This method reduces the chemicals, manpower and equipment used in the process of detecting microorganisms. EMDS-7 including the original Environmental Microorganism (EM) images and the corresponding object labeling files in “.XML” format file. The EMDS-7 data set consists of 41 types of EMs, which has a total of 2,65 images and 13,216 labeled objects. The EMDS-7 database mainly focuses on the object detection. In order to prove the effectiveness of EMDS-7, we select the most commonly used deep learning methods (Faster-Region Convolutional Neural Network (Faster-RCNN), YOLOv3, YOLOv4, SSD, and RetinaNet) and evaluation indices for testing and evaluation. EMDS-7 is freely published for non-commercial purpose at: https://figshare.com/articles/dataset/EMDS-7_DataSet/16869571.

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Synthesis, characterization and application of intracellular Ag/AgCl nanohybrids biosynthesized in Scenedesmus sp. as neutral lipid inducer and antibacterial agent

Cited by 18 publications

References 46 publications

Characterization of nanomaterials synthesized from Spirulina platensis extract and their potential antifungal activity

Characterization of nanomaterials synthesized from Spirulina platensis extract and their potential antifungal activity

“Enhancing Fruit Preservation: Fungal Growth Inhibition with Grape Seed‐Mediated Ag@AgCl Nanoparticles through Desirability‐Based Optimization”

EMDS-7: Environmental microorganism image dataset seventh version for multiple object detection evaluation

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