Therapeutic potentials of littoral vegetation: an antifungal perspective

Baishya, Somorita; Banik, Sheuli Kangsa; Choudhury, Manabendra Dutta; Talukdar, Deepa Das; Talukdar, Anupam Das

doi:10.1016/b978-0-12-819532-1.00011-1

Cited by 7 publications

(11 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…R. apiculata has medicinal properties in its roots, bark, and leaves. These trees are high in phytochemicals and have anticancer, antibacterial, antiemetic, antidiarrheal, and hemostatic activity [ 12 , 13 ]. Previously, R. apiculata has been assessed for its antibacterial activity [ 14 ], hepatoprotective activity [ 15 ], and cytotoxic activity [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Synthesis and Characterization of Silver Nanoparticles from Rhizophora apiculata and Studies on Their Wound Healing, Antioxidant, Anti-Inflammatory, and Cytotoxic Activity

et al. 2022

View full text Add to dashboard Cite

Silver nanoparticles (AgNPs) have recently gained interest in the medical field because of their biological features. The present study aimed at screening Rhizophora apiculata secondary metabolites, quantifying their flavonoids and total phenolics content, green synthesis and characterization of R. apiculata silver nanoparticles. In addition, an assessment of in vitro cytotoxic, antioxidant, anti-inflammatory and wound healing activity of R. apiculata and its synthesized AgNPs was carried out. The powdered plant material (leaves) was subjected to Soxhlet extraction to obtain R. apiculata aqueous extract. The R. apiculata extract was used as a reducing agent in synthesizing AgNPs from silver nitrate. The synthesized AgNPs were characterized by UV-Vis, SEM-EDX, XRD, FTIR, particle size analyzer and zeta potential. Further aqueous leaf extract of R. apiculata and AgNPs was subjected for in vitro antioxidant, anti-inflammatory, wound healing and cytotoxic activity against A375 (Skin cancer), A549 (Lung cancer), and KB-3-1 (Oral cancer) cell lines. All experiments were repeated three times (n = 3), and the results were given as the mean ± SEM. The flavonoids and total phenolics content in R. apiculata extract were 44.18 ± 0.086 mg/g of quercetin and 53.24 ± 0.028 mg/g of gallic acid, respectively. SEM analysis revealed R. apiculata AgNPs with diameters ranging from 35 to 100 nm. XRD confirmed that the synthesized silver nanoparticles were crystalline in nature. The cytotoxicity cell viability assay revealed that the AgNPs were less toxic (IC50 105.5 µg/mL) compared to the R. apiculata extract (IC50 47.47 µg/mL) against the non-cancerous fibroblast L929 cell line. Antioxidant, anti-inflammatory, and cytotoxicity tests revealed that AgNPs had significantly more activity than the plant extract. The AgNPs inhibited protein denaturation by a mean percentage of 71.65%, which was equivalent to the standard anti-inflammatory medication diclofenac (94.24%). The AgNPs showed considerable cytotoxic effect, and the percentage of cell viability against skin cancer, lung cancer, and oral cancer cell lines was 31.84%, 56.09% and 22.59%, respectively. R. apiculata AgNPs demonstrated stronger cell migration and percentage of wound closure (82.79%) compared to the plant extract (75.23%). The overall results revealed that R. apiculata AgNPs exhibited potential antioxidant, anti-inflammatory, wound healing, and cytotoxic properties. In future, R. apiculata should be further explored to unmask its therapeutic potential and the mechanistic pathways of AgNPs should be studied in detail in in vivo animal models.

show abstract

Section: Introductionmentioning

confidence: 99%

Synthesis and Characterization of Silver Nanoparticles from Rhizophora apiculata and Studies on Their Wound Healing, Antioxidant, Anti-Inflammatory, and Cytotoxic Activity

et al. 2022

View full text Add to dashboard Cite

show abstract

“…In terms of species, this study found 16 species distributed across 6 different locations with slightly different dominance indicated by the IVI parameter. R. mucronata was dominant in the estuary (Location01), subestuary (Location02) due to its physical and physiological abilities to retain external disturbances such as waves, more tolerant to water salinity, the deep root system and higher root surface area (Batol et al 2014;Baishya et al 2020). Basyuni et al (2020) indicated R. mucronata possesses a stilted root that underpins the plant to stand well in the ocean wave.…”

Section: Discussionmentioning

confidence: 99%

Diversity, composition, structure and canopy cover of mangrove trees in six locations along Bintuni riverbank, Bintuni Bay, West Papua, Indonesia

et al. 2022

View full text Add to dashboard Cite

Abstract. Srau M, Bawole R, Marwa J, Sinery AS, Cabuy RL. 2022. Diversity, composition, structure and canopy cover of mangrove trees in six locations along Bintuni riverbank, Bintuni Bay, West Papua, Indonesia. Biodiversitas 23: 5835-5843. Mangroves provide various benefits of ecological and socio-economic aspects. Such benefits could be delivered if mangrove vegetation is in good condition, indicated by several ecological parameters. This study was conducted to investigate the diversity, composition, structure, and canopy cover of mangrove trees along Bintuni riverbank, Bintuni Bay, West Papua, Indonesia. There were six different locations representing biotic and abiotic conditions. The study only focused on the mangrove tree stage with a total of 175 plots established, of which each plot had a size of 10 × 10 m. The name of mangrove species, tree diameter, total height, and canopy cover percentage was recorded and measured. The result showed that the diversity and composition of mangrove trees varied among the six locations indicated by the importance value index (IVI) parameter. The estuary and sub-estuary areas were dominated by Rhizophora mucronata, while in the further area from the estuary toward the land, the dominant mangrove species was Avicennia sp. The highest number of mangrove trees was found in Kampung Lama 1 with 989 trees/ha (593 trees in 60 plots) with an average diameter of 18.8077 cm (SD±7.0279) and an average height of 8.9477 m (SD±2.2814). The lowest tree distribution was found in Kampung Masuhi with 940 trees/ha (94 trees in 10 plots) with an average diameter of 15.4787 m (SD±3.8205). The highest average of canopy covers was noted in the sub-river estuary with a percentage of 86.97% (SD±85) and the lowest percentage was in Kampung Masina with 59.89% (SD±124.85). Statistical analysis of variance (ANOVA) showed that there was a significant difference in terms of average tree diameter and height among the six locations with a p-value of 0.00021 < 0.05 at 95% CI. There was a strong positive correlation between tree diameter and height, as indicated by R2 of 0.69. In addition, a statistical test of analysis of variance from each location was significantly different among these six locations.

show abstract

“…Particularly, gray (Avicennia marina) and red (Rhizophora mucronata) mangrove species exist in the Persian Gulf (e.g., gray and red mangroves), and the gray mangrove (i.e., Avicennia marina, which belongs to the Acanthaceae family) is the dominant mangrove species in the Hara protected area [42,54]. This mangrove species cultivate in sediments with low-oxygen and high-salinity concentrations and are made of light gray bark and thick, glossy, bright green leaves [8,42]. This region has been impacted by anthropogenic practices of local and regional communities including leaf-cutting, fishing, boat journeys for tourism, oil leakage, and petrochemical industries [55][56][57].…”

Section: Study Areamentioning

confidence: 99%

“…Mangrove ecosystems are among the most productive ecosystems that exist along coastal areas in tropical and sub-tropical regions. These ecosystems provide unique ecological and environmental benefits including coastal protection (i.e., against floods and wave attenuation) [1,2], carbon sequestration [3,4], pollution and waste abatement [5,6], and pharmaceutical production [7,8]. Additionally, mangrove ecosystems are important habitats for various fauna, providing valuable food services for shrimp farming and fishery [9,10].…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Neural Networks for Mangrove Mapping Using Multi-Temporal and Multi-Source Remote Sensing Imagery

Ghorbanian

Ahmadi

Amani³

et al. 2022

Water

View full text Add to dashboard Cite

Mangroves, as unique coastal wetlands with numerous benefits, are endangered mainly due to the coupled effects of anthropogenic activities and climate change. Therefore, acquiring reliable and up-to-date information about these ecosystems is vital for their conservation and sustainable blue carbon development. In this regard, the joint use of remote sensing data and machine learning algorithms can assist in producing accurate mangrove ecosystem maps. This study investigated the potential of artificial neural networks (ANNs) with different topologies and specifications for mangrove classification in Iran. To this end, multi-temporal synthetic aperture radar (SAR) and multi-spectral remote sensing data from Sentinel-1 and Sentinel-2 were processed in the Google Earth Engine (GEE) cloud computing platform. Afterward, the ANN topologies and specifications considering the number of layers and neurons, learning algorithm, type of activation function, and learning rate were examined for mangrove ecosystem mapping. The results indicated that an ANN model with four hidden layers, 36 neurons in each layer, adaptive moment estimation (Adam) learning algorithm, rectified linear unit (Relu) activation function, and the learning rate of 0.001 produced the most accurate mangrove ecosystem map (F-score = 0.97). Further analysis revealed that although ANN models were subjected to accuracy decline when a limited number of training samples were used, they still resulted in satisfactory results. Additionally, it was observed that ANN models had a high resistance when training samples included wrong labels, and only the ANN model with the Adam learning algorithm produced an accurate mangrove ecosystem map when no data standardization was performed. Moreover, further investigations showed the higher potential of multi-temporal and multi-source remote sensing data compared to single-source and mono-temporal (e.g., single season) for accurate mangrove ecosystem mapping. Overall, the high potential of the proposed method, along with utilizing open-access satellite images and big-geo data processing platforms (i.e., GEE, Google Colab, and scikit-learn), made the proposed approach efficient and applicable over other study areas for all interested users.

show abstract

Therapeutic potentials of littoral vegetation: an antifungal perspective

Cited by 7 publications

References 27 publications

Synthesis and Characterization of Silver Nanoparticles from Rhizophora apiculata and Studies on Their Wound Healing, Antioxidant, Anti-Inflammatory, and Cytotoxic Activity

Synthesis and Characterization of Silver Nanoparticles from Rhizophora apiculata and Studies on Their Wound Healing, Antioxidant, Anti-Inflammatory, and Cytotoxic Activity

Diversity, composition, structure and canopy cover of mangrove trees in six locations along Bintuni riverbank, Bintuni Bay, West Papua, Indonesia

Application of Artificial Neural Networks for Mangrove Mapping Using Multi-Temporal and Multi-Source Remote Sensing Imagery

Contact Info

Product

Resources

About