Biological Extracts Research Articles

AGCNAF: predicting disease-gene associations using GCN and multi-head attention to fuse the similarity features

Abstract Association prediction between diseases and genes is a critical step in revealing the molecular mechanisms of diseases and developing drug treatment strategies. With the explosive growth of data in the biomedical field, how to effectively utilize these data for accurate prediction has become a hotspot and challenge in current research. To overcome the limitations of current prediction methods in dealing with complex biological network structures and feature extraction, this study proposes AGCNAF, a method that combines an unsupervised Graph Convolutional Network (GCN) and a multi-head attention mechanism. The metagraph-guided random walk strategy enables AGCNAF to capture local and high-order topological structures in the graph, while GCN is responsible for realizing deep feature extraction of these structures. By incorporating similarity features through the multi-attention mechanism, AGCNAF achieves effective integration of global and local features, which significantly improves the prediction performance. By incorporating similarity features through the multi-attention mechanism, AGCNAF achieves effective integration of global and local features, which significantly improves the prediction performance. By utilizing the machine learning binary classification model for prediction, the experimental results through five-fold cross-validation show that AGCNAF demonstrates significant advantages in prediction performance compared to existing methods, with its AUC and AUPR reaching 0.9686 and 0.9709, respectively, and the AUC up to 0.9812 under specific conditions. 
To verify the practical application value of AGCNAF, this study also conduct case studies on Alzheimer's disease, lung cancer, and breast cancer. The results further confirm the excellent performance of AGCNAF in identifying potential disease-gene associations, which opens up new possibilities for future disease-gene research.

Green approaches for the synthesis of silver nanoparticle and its augmentation in Seed. germination, growth, and antioxidant level in Capsicum annuum L.

Eco-friendly natural nano-compounds, including biological extracts from Aspergillus niger, Azadirachta indica, and Moringa oleifera are known for their efficacy. Silver nanoparticles (AgNPs) improve seed germination, plant growth, and photosynthetic efficiency. This study focuses on how bio-silver may affect the development and physiology of Capsicum annuum L., specifically bio-silver nano priming with different quantities of synthesised nanoparticles. Nano priming improved seed germination (90–100 %), seedling length (53 %), seedling weight (75 %), seedling vigour index (65 %), as well as germination speed and index. The phytochemicals significantly increased chlorophyll (6–145 %), carotenoids (19–138 %), TPC (12–74 %), and TFC (7–80 %), all of which support plant growth. Nano priming also enhanced TAA (7–67 %) and FRAP (7–57 %). The total protein content (18–111 %) increased, promoting enzyme activity and plant development. Nano-priming increased ROS generation in seedlings more than the control and other priming treatments. This indicates that both ROS, including SOD (2–36 %) and POD (2–72 %), play crucial roles in seedling growth. The various mechanisms involved in nano priming-induced ROS/antioxidant systems in seedlings, such as the production of proline content (7–154 %) and the decrease in MDA (1–15 %), all contribute to the regulation of nanoparticle-generated stress.

Titanium Dioxide Nanoparticle: A Comprehensive Review on Synthesis, Applications and Toxicity

Nanotechnology has garnered significant interest worldwide due to its wide-ranging applications across various industries. Titanium dioxide nanoparticles are one type of nanoparticle that is commonly utilised in everyday use and can be synthesized by different techniques using physical, chemical and biological extracts. Green synthesis is an economical, environmentally benign and non-toxic method of synthesising nanoparticles. Titanium dioxide nanoparticles have a positive impact on plant physiology, particularly in response to biotic and abiotic stresses, depending on various factors like size, concentration, exposure of the nanoparticles and other variables. Further, titanium dioxide nanoparticles have many applications, such as being used as nano-fertilizers, adsorption of heavy metal from industrial wastewater and antimicrobial activity, as discussed in this review paper. Previous studies investigated whether titanium dioxide nanoparticles also induce genotoxicity may be due to mishandling procedure, exposure time, size, concentration and other variables. This is still contradictory and requires more research. The present review is a pragmatic approach to summarize the synthesis, application, nanotoxicity, genotoxicity and eco-friendly method of nanoparticle synthesis and disposable.

Biogenic gold nanoparticles stabilized with silk sericin and their impacts on osteogenic induction and surface modification of polymethyl methacrylate

Biogenic metal nanoparticles have been of interest recently. The process of biogenic synthesis used biological extracts as reducing and capping agents in nanoparticle formation resulting in obtaining metal nanoparticles with good biocompatibility. Gold nanoparticles (AuNPs) are type of metal nanoparticles that have been used in various biomedical applications. This study demonstrated the use of AuNPs stabilized with silk sericin (AuNPs@SC) to enhance osteogenic induction using mouse mesenchymal stem cells (mMSCs) as a model cell. It showed that AuNPs@SC at concentration up to 100 µg/mL were nontoxic to mMSCs. Furthermore, AuNPs@SC at a concentration of 25 µg/mL were able to enhance production of osteogenic differentiation biomarker levels in mMSCs. An induction of osteopontin (OPN) and mineralization was found within 3 days after treating mMSCs with AuNPs@SC. The highest alkaline phosphatase (ALP) levels was detected after treating mMSCs with 25 µg/mL AuNPs@SC for 24 h. When the surface of polymethyl methacrylate (PMMA) was immobilized by AuNPs@SC (AuNPs@SC/PMMA), the surface roughness decreased (Ra = 75.67 ± 4.01 nm) and mMSCs were able to attach and grow on the surface of AuNPs@SC/PMMA.

Highly sensitive detection of RNase H via a novel DNA/RNA heteroduplex combining isothermal exponential amplification strategy

Ribonuclease H (RNase H) plays a crucial role in a variety of cellular processes and is emerging as an essential therapeutic target for many diseases. Various methods have been constructed to assay RNase H activity, but these methods are either time-consuming or have poor sensitivity. In this study, we developed a novel strategy that combined a specially designed DNA/RNA chimeric substrate with exponential amplification reaction (EXPAR) for rapid and sensitive detection of RNase H activity. In the presence of RNase H, the RNA strand of the DNA/RNA heteroduplex was specifically degraded, forming a 3′-hydroxyl group in the locking primer for recognition and extension by DNA polymerase. This ultimately triggered EXPAR and produced a large number of single-stranded DNA, which was monitored in real-time with fluorescent dye. Under optimized conditions, the proposed strategy can detect as low as 6 × 10−10 U/μL of RNase H, which was at least 1000 times more sensitive than several reported methods. Furthermore, we demonstrated the usage of this method for RNase H inhibitor analysis and practical application in complex biological samples, including serum and tumor cell extracts. Therefore, these results suggested that the developed method is a promising tool for highly sensitive detection of RNase H and RNase H-associated disease diagnosis.

Advances in the microbial synthesis of active ingredients in cosmetics

With the rapid development of the medical beauty industry, functional skin care products become increasingly popular. The functions of cosmetics mainly depend on the active ingredients, which are mainly proteins, peptides, polysaccharides, phenolic acids, terpenes, vitamins, and amino acids. These active ingredients endow cosmetics with skin repairing, moistening, whitening, UV protecting, and anti-aging effects. They are mainly obtained through biological extraction and chemical synthesis. In recent years, with the development of biomanufacturing, microbial synthesis of active ingredients in cosmetics has been widely studied and applied. This article reviews the research progresses in the production of natural products including collagens, peptides, hyaluronic acid, polyphenols, terpenes, and vitamins by microbial synthetic biotechnology. Moreover, this article highlighted the synthetic pathways, metabolic regulation, and prospects of the natural products, providing a reference for subsequent microbial synthesis of active ingredients in cosmetics.

Establishment of Saccharomyces cerevisiae as a cell factory for efficient de novo production of monogalactosyldiacylglycerol

Monogalactosyldiacylglycerol (MGDG), a predominant photosynthetic membrane lipid derived from plants and microalgae, has important applications in feed additives, medicine, and other fields. The low content and various structural stereoselectivity differences of MGDG in plants limited the biological extraction or chemical synthesis of MGDG, resulting in a supply shortage of monogalactosyldiacylglycerol with a growing demand. Herein, we established Saccharomyces cerevisiae as a cell factory for efficient de novo production of monogalactosyldiacylglycerol for the first time. Heterologous production of monogalactosyldiacylglycerol was achieved by overexpression of codon-optimized monogalactosyldiacylglycerol synthase gene MGD1, the key Kennedy pathway genes (i.e. GAT1, ICT1, and PAH1), and multi-copy integration of the MGD1 expression cassette. The final engineered strain (MG-8) was capable of producing monogalactosyldiacylglycerol with titers as high as 16.58 nmol/mg DCW in a shake flask and 103.2 nmol/mg DCW in a 5 L fed-batch fermenter, respectively. This is the first report of heterologous biosynthesis of monogalactosyldiacylglycerol in microorganisms, which will provide a favorable reference for study on heterologous production of monogalactosyldiacylglycerol in yeasts.Graphical

Influence and progress of tea pigment research: A comprehensive analysis of application of bibliometrics

Tea pigment, as a natural pigment component in tea, has attracted much attention because of its unique health benefits. In recent years, with the deepening of scientific research, the research on biological activity, extraction technology and application of tea pigment has made remarkable progress. Through systematic bibliometrics analysis, this paper comprehensively combs and evaluates the research status of tea pigment. The propose is to provide valuable reference for future research and application. In this paper, the chemical structure of tea pigment is firstly summarized, and then its diverse biological activities, such as antioxidant, anti-inflammatory and anti-tumor, are deeply discussed, especially its potential application in the treatment of cardiovascular diseases and diabetes. In addition, the application prospect of tea pigment in food coloring, textile dyeing and other industrial fields is also discussed in detail. Through the collection and arrangement of a large number of research literatures, this paper analyzes the development trend, research methods and main achievements of tea pigment research, and pays special attention to the dosage and effect of tea pigment in practical application. These analyses not only contribute to a more comprehensive understanding of the characteristics and functions of tea pigments, but also provide scientific basis for the further development and application of tea pigments.

Potential and characteristics of rare-earth metals acid bioleaching from the rare-earth-rich tailings with the enriched functional bacterial consortium: Comparison between one-step and two-step processes

The irreplaceable roles of rare-earth metals (REMs) in modern technologies have renewed interest in the grand challenges of mineral processing and metallurgical engineering—the efficient extraction of REMs. However, traditional methods for extracting REMs are inefficient, costly and harmful to health and the environment. In this study, a method of biological extraction (bioleaching), which has been proved to be effective in the field of mineral processing for extraction of the metals, was employed for REMs bioleaching from Bayan Obo rare-earth-rich tailings (RERT) using the acid functional bacterial consortium, and the optimal culture and leaching conditions were optimized. Under the optimal conditions for 18 days, the total bioleaching rate of the five main REMs of La, Ce, Pr, Nd and Sm was obtained at 82.78 % for one-step process and 83.51 % for two-step process, which has a significant improvement comparing to previous studies. The results demonstrated that REMs could be efficiently bioleached by acid bioleaching functional bacterial consortium, and the difference in leaching efficiency between the one-step and two-step bioleaching process was not significant. In addition, by analyzing the mineral composition of the RERT and leaching residue, the extensively bioleach of REMs in bastnaesite are observed. To sum up, the rare-earth resources of Bayan Obo RERT could be effectively leached by acid bioleaching method.

Mixed rare earth metals production from surface soil in Idaho, USA: Techno-economic analysis and greenhouse gas emission assessment

Rare earth elements are crucial for the development of cutting-edge technologies in various sectors, such as energy, transportation, and health care. Traditional extraction of rare earth elements from soil and ore deposits primarily involves chemical leaching and solvent extraction. Environmental-based biological rare earth element extraction, such as bioleaching, can be a promising alternative to mitigate pollution and hazardous wastes. We investigated the sustainability aspects (techno-economic and environmental impact) of mixed rare earth metals production from soil in Idaho, USA. We focused on the bioleaching of surface soil using techno-economic analysis and “cradle-to-gate” life cycle assessment. The system boundary included collection, transportation, bioleaching, and molten salt electrolysis. Our results revealed that the mixed rare earth metals (including Nd, Ce, and La) production costs approximately $10,851 per metric ton and generates 1.9 × 106 kg CO2 eq./ton. Our results showed that most emissions are due to energy consumption during bioleaching. Over a 100-year time horizon ultrasound-assisted bioleaching can reduce greenhouse gas emissions by approximately 91 % compared to the traditional bioleaching process by decreasing the organic acid leaching process time and energy consumption. Our work demonstrates that higher solids loading in leaching with biological reactions can promote economic feasibility and reduce chemical wastes.

Garlic Cellulosic Powders with Immobilized AgO and CuO Nanoparticles: Preparation, Characterization of the Nanocomposites, and Application to the Catalytic Degradation of Azo Dyes.

Nanomaterials have attracted specific consideration due to their specific characteristics and uses in several promising fields. In the present study, Chondrilla juncea was employed as a biological extract to facilitate the reduction of copper and silver ions within garlic peel powders. The resulting garlic-CuO and garlic-AgO nanocomposites were characterized using several analytical methods including FTIR, TGA/DTG, SEM, TEM, and XRD analyses. The garlic peel exhibited a rough surface. The nanoparticles were evenly dispersed across its surface. The incorporation of CuO and AgO nanoparticles affected the crystal structure of garlic peel. The establishment of CuO and AgO nanoparticles was evidenced by the highest residual mass values observed for the prepared nanocomposites. The thermogravimetric analysis showed that the prepared nanocomposites had lower thermal stability compared with garlic peel powders. The prepared nanocomposites were used for catalytic degradation of naphthol blue black B and calmagite. The decolorization process depended on the quantity of H2O2, initial concentration of azo dyes, duration of contact, and temperature of the bath. The calculated activation energy (Ea) values for the garlic-CuO nanocomposites were found to be 18.44 kJ mol-1 and 23.28 kJ mol-1 for calmagite and naphthol solutions, respectively. However, those calculated for garlic-AgO nanocomposites were found to be 50.01 kJ mol-1 and 12.44 kJ mol-1 for calmagite and naphthol, respectively.

Large language model based framework for automated extraction of genetic interactions from unstructured data.

Extracting biological interactions from published literature helps us understand complex biological systems, accelerate research, and support decision-making in drug or treatment development. Despite efforts to automate the extraction of biological relations using text mining tools and machine learning pipelines, manual curation continues to serve as the gold standard. However, the rapidly increasing volume of literature pertaining to biological relations poses challenges in its manual curation and refinement. These challenges are further compounded because only a small fraction of the published literature is relevant to biological relation extraction, and the embedded sentences of relevant sections have complex structures, which can lead to incorrect inference of relationships. To overcome these challenges, we propose GIX, an automated and robust Gene Interaction Extraction framework, based on pre-trained Large Language models fine-tuned through extensive evaluations on various gene/protein interaction corpora including LLL and RegulonDB. GIX identifies relevant publications with minimal keywords, optimises sentence selection to reduce computational overhead, simplifies sentence structure while preserving meaning, and provides a confidence factor indicating the reliability of extracted relations. GIX's Stage-2 relation extraction method performed well on benchmark protein/gene interaction datasets, assessed using 10-fold cross-validation, surpassing state-of-the-art approaches. We demonstrated that the proposed method, although fully automated, performs as well as manual relation extraction, with enhanced robustness. We also observed GIX's capability to augment existing datasets with new sentences, incorporating newly discovered biological terms and processes. Further, we demonstrated GIX's real-world applicability in inferring E. coli gene circuits.

A nanogold sensor test for tire wear chemicals based on the plasmon ruler approach

The release of tire wear substances in the environment is raising concerns about potential impacts on aquatic ecosystems. The purpose of this study was to develop a quick and inexpensive screening test for the following tire wear substances: 6-phenylphenyldiamine quinone (6-PPD quinone), hexamethoxymethylmelamine (HMMM), 1–3-diphenylguanidine (1,3-DPG), and melamine. A dual strategy consisting of nanogold (nAu) signal intensity and the plasmonic ruler principle was used based on the spectral shift from the unaggregated free-form nAu from 525 nm to aggregated nAu at higher wavelengths. The shift in resonance corresponded to the relative sizes of the tire wear substances at the surface of nAu: 6-PPD (560 nm), HMMM (590 nm), 1,3-DPG (620 nm), and melamine (660 nm) in a concentration-dependent manner. When present in mixtures, a large indiscriminate band between 550 and 660 nm with a maximum corresponding to the mean intermolecular distance of 0.43 nm from the tested individual substances suggests that all compounds indiscriminately interacted at the surface of nAu. An internal calibration methodology was developed for mixtures and biological extracts from mussels and biofilms and revealed a proportional increase in absorbance at the corresponding resonance line for each test compound. Application of this simple and quick methodology revealed the increased presence of melamine and HMMM compounds in mussels and biofilms collected at urban sites (downstream city, road runoffs), respectively. The data also showed that treated municipal effluent decreased somewhat melamine levels in mussels.Graphical

Microencapsulation of noni fruit extract using gum arabic and maltodextrin – Optimization, stability and efficiency

Noni fruit (Morinda citrifolia L.) has many health-supporting compounds, but its biological extracts need protection against environmental impacts for stability and efficiency. To address this, microencapsulation is an advanced technology in food applications that require optimization of coating component and temperature regime. Gum arabic (GA) and maltodextrin (MD) were suitably combined at 2:1 ratio, which showed good and stable structure as well as successful microencapsulation efficiency of the enzymatic-ultrasonic assisted noni extract. A coating density of 20 % for the GA:MD formula was with highest performance. The heat setting of spray drying was optimized at 175 and 82 °C for inlet and outlet, respectively using response surface methodology with experimental validation of maximized TFC and TSC at 88.3 and 90.3 %, respectively. Noni microencapsulated powder was assessed via a series of reliably advanced techniques such as microscopy, spectrophotometry, diffraction, and calorimetry for structural properties. Noni powder was additionally tested for storage stability, heat exposure stability, and release efficiency in pH condition and in vitro digestive tract. Promising results were obtained with at least one year storage stability, better microcapsule stability at 60 and 100 °C, quite good release at pH 7.4, and suitable release efficiency in digestive tract simulation. These properties of microencapsulated noni powder open further scalability potential and various industrial applications.

Nanoparticles (MgO) utilising Justicia adhatoda and an evaluation of their antimicrobial properties

Researchers are using safer green synthesis methods to make nanoparticles. Industry uses green synthetic methods more than physicochemical methods. Green MgO nanoparticle production is environmentally friendly, non-toxic, stable, and offers many nanoscale production options. Green synthesis methods can produce large amounts of nanoparticles, but there are still challenges. The biological extracts during synthesis prevent reaction mechanisms from being understood. Justicia adhatoda plant leaves were employed as a natural ligation agent to generate magnesium oxide nanoparticles. The functional group analysis was done with Fourier Transform Infra-Red spectroscopy. The green synthesized magnesium oxide NPs were crystalline and spherical, as shown by X-ray diffraction and scanning electron microscopy. Analytical investigations determined that particles are 22.96 nm in size. The antimicrobial studies were carried for the Justicia adhatoda MgO nanoparticles against few gram-positive and gram-negative bacteria and fungi. The binding effect was greater at higher concentrations than the control Gentamicin.

Gabor-net with multi-scale hierarchical fusion of features for fundus retinal blood vessel segmentation

This paper proposes a fundus retinal blood vessel segmentation model based on a deep convolutional network structure and biological visual feature extraction mechanism. It aims to solve the multi-scale problem of blood vessels in the fundus retinal blood vessel segmentation task in the field of medical image processing on the basis of increasing the biological interpretability of the model. First, the subject feature information of the retinal blood vessel image is obtained by using the non-subsampled Residual Bolck convolution main channel. Secondly, combined with the study of biological vision mechanisms, an information processing model of the Retina-Exogenius-Primary visual cortex (V1) ventral visual pathway was established. Gabor functions of different scales are used to simulate the structure of different levels of the visual pathway, and the scale information at different levels is integrated into the corresponding hierarchical stages of the convolutional main pathway network to enrich the information of small blood vessels and enhance the semantic information of the overall blood vessels. Finally, considering the imbalance of the ratio of vessel and nonvessel pixels, an adaptive optimization scheme using hybrid loss function weights is proposed to enhance the priority of blood vessel pixels in the calculation of the loss function. According to the experimental results on the STARE, DRIVE and CHASE_DB1 data sets, the model still achieves superior performance evaluation indicators overall compared with the existing optimal methods in the fundus retinal blood vessel segmentation task. This research is of great significance to the field of medical image processing and can provide more accurate auxiliary diagnostic information for clinical diagnosis and treatment.

Untargeted metabolomics and molecular docking studies on green silver nanoparticles synthesized by Sarocladium subulatum: Exploring antibacterial and antioxidant properties

The biological synthesis of silver nanoparticles (Ag-NPs) with fungi has shown promising results in antibacterial and antioxidant properties. Fungi generate metabolites (both primary and secondary) and proteins, which aid in the formation of metal nanoparticles as reducing or capping agents. While several studies have been conducted on the biological production of Ag-NPs, the exact mechanisms still need to be clarified. In this study, Ag-NPs are synthesized greenly using an unstudied fungal strain, Sarocladium subulatum AS4D. Three silver salts were used to synthesize the Ag-NPs for the first time, optimized using a cell-free extract (CFE) strategy. Additionally, these NPs were assessed for their antimicrobial and antioxidant properties. Various spectroscopic and microscopy techniques were utilized to confirm Ag-NP formation and analyze their morphology, crystalline properties, functional groups, size, stability, and concentrations. Untargeted metabolomics and proteome disruption were employed to explore the synthesis mechanism. Computational tools were applied to predict metabolite toxicity and antibacterial activity. The study identified 40 fungal metabolites capable of reducing silver ions, with COOH and OH functional groups playing a pivotal role. The silver salt type impacted the NPs' size and stability, with sizes ranging from 40 to 52 nm and zeta potentials from −0.9 to −30.4 mV. Proteome disruption affected size and stability but not shape. Biosynthesized Ag-NPs using protein-free extracts ranged from 55 to 62 nm, and zeta potentials varied from −18 to −27 mV. Molecular docking studies and PASS results found no role for the metabolome in antibacterial activity. This suggests the antibacterial activity comes from Ag-NPs, not capping or reducing agents. Overall, the research affirmed the vital role of specific reducing metabolites in the biosynthesis of Ag-NPs, while proteins derived from biological extracts were found to solely affect their size and stability.

Agroindustrial By-Products as a Source of Biostimulants Enhancing Responses to Abiotic Stress of Horticultural Crops.

Together with other abiotic stresses such as drought and high temperatures, salt stress is one of the most deleterious environmental factors affecting plant development and productivity, causing significant crop yield reductions. The progressive secondary salinisation of irrigated farmland is a problem as old as agriculture but is aggravated and accelerated in the current climate change scenario. Plant biostimulants, developed commercially during the last decade, are now recognised as innovative, sustainable agronomic tools for improving crop growth, yield, plant health and tolerance to abiotic stress factors such as water and soil salinity. Biostimulants are a disparate collection of biological extracts, natural and synthetic organic compounds or mixtures of compounds, inorganic molecules and microorganisms, defined by the positive effects of their application to crops. The growing interest in biostimulants is reflected in the increasing number of scientific reports published on this topic in recent years. However, the processes triggered by the biostimulants and, therefore, their mechanisms of action remain elusive and represent an exciting research field. In this review, we will mainly focus on one specific group of biostimulants, protein hydrolysates, generally produced from agricultural wastes and agroindustrial by-products-contributing, therefore, to more sustainable use of resources and circular economy-and primarily on the consequences of their application on the abiotic stress resistance of horticultural crops. We will summarise data in the scientific literature describing the biostimulants' effects on basic, conserved mechanisms activated in response to elevated salinity and other abiotic stress conditions, such as the control of ion transport and ion homeostasis, the accumulation of osmolytes for osmotic adjustment, or the activation of enzymatic and non-enzymatic antioxidant systems to counteract the induced secondary oxidative stress. The collected information confirms the positive effects of biostimulants on crop tolerance to abiotic stress by enhancing morphological, physiological and biochemical responses, but also highlights that more work is needed to further establish the molecular mechanisms underlying biostimulants' effects.

Bio-Driven Sustainable Extraction and AI-Optimized Recovery of Functional Compounds from Plant Waste: A Comprehensive Review

The agrifood industry produces copious amounts of waste, which represent an execrable wastage of natural resources and result in economic losses over the entire value chain. This review compares conventional and biological methods for the recovery of functional compounds from plant wastes to rescues part of the intrinsic valuable elements contained therein. Biological methods involve bioprocesses based on hydrolytic enzymes and engineered bacterial strains, to facilitate the release of valuable compounds. Then, this review explores the innovative and transformative role of artificial intelligence and machine learning techniques for real-time monitoring, optimizing, and digitizing the extraction procedures. By combining the potential of biological extraction and AI integration, this review provides insights on how these approaches can revolutionize the agrifood sector, increasing the efficiency and environmental sustainability of the plant waste valorization process.

Methods and applications of the biosynthesis of nanomaterials

Nanotechnology is the branch of study of materials used on a nanometric scale that allows application in various areas of knowledge. There are different factors and methods that influence the synthesis of nanoparticles, which have their respective advantages and challenges. Therefore, this work presents a classification for nanomaterials, as well as the types of synthesis and methods such as extracellular and intracellular. Consequently, the purpose of this review is to collect information on the generation of nanomaterials by biosynthesis using biological extracts. In conclusion, the synthesis of nanomaterials obtained from plants and microorganisms is a broad branch of study and can be a novel alternative compared to other types of methods that generate greater pollution to the environment. Nanomaterials are a tool that can be used in agriculture to improve the quality of food. This is associated with the effects on the development and germination of plants. The perspectives on nanomaterials are based on the possible applications in different fields such as agriculture, food industry, pharmaceuticals and biomedicine.