scispace - formally typeset
Search or ask a question

Why ethanol is best solvent in plant extraction study? 


Best insight from top research papers

Ethanol is considered the best solvent in plant extraction studies due to its efficiency in extracting bioactive compounds from various plant parts. Studies have shown that ethanol as a solvent can provide high extraction yields of important compounds like phenolics, flavonoids, terpenoids, and antioxidants. Additionally, ethanol has been found to result in extracts rich in glycolipids and polar compounds, making it suitable for specific applications requiring these components. Furthermore, ethanol has been proven to facilitate DNA extraction from plant tissues, improving DNA quality and yield when combined with specific pretreatment methods. Overall, the versatility and effectiveness of ethanol as a solvent make it a preferred choice in plant extraction studies for obtaining a wide range of bioactive compounds.

Answers from top 5 papers

More filters
Papers (5)Insight
Ethanol was found to be the best solvent for flavonoid extractions in the study due to its effectiveness in extracting bioactive compounds from Passiflora, Physalis, and Solanum plants.
Ethanol is the best solvent for extracting phenolics from Polyalthia bullata roots due to higher efficiency, while methanol is superior for antioxidant capacity in leaf and woody parts.
Ethanol is the best solvent in plant extraction due to its ability to extract both polar and non-polar lipids, resulting in higher yields and a wider range of molecules.
Ethanol is a preferred solvent in plant extraction due to its ability to preserve tissues, facilitate DNA extraction, reduce fragmentation, and enhance DNA yield and quality in recalcitrant plant species.
Ethanol is an ideal solvent for plant extraction due to its high efficiency in extracting corn germ oil, as shown in the study, offering comparable results to conventional solvents.

Related Questions

How does the use of 95% ethanol affect the extraction process during maceration?5 answersThe use of 95% ethanol in the extraction process during maceration has been shown to significantly impact the efficiency and yield of bioactive compounds. Research on various substances like cannabinoids from Cannabis, bioactive compounds from Pleurotus ostreatus, and antioxidants from cocoahighlights the influence of ethanol concentration. Specifically, the study on Pleurotus ostreatus found that 95% ethanol with a specific solid to solvent ratio allowed maximum efficiency for extracting proteins. Additionally, the research on cannabinoids demonstrated that extracting lipophilic cannabidiol in 95% ethanol through percolation resulted in a significantly higher total CBD yield compared to maceration. Therefore, the use of 95% ethanol can enhance the extraction process during maceration by improving the efficiency and yield of bioactive compounds.
Ethanolic extraction is organic?5 answersYes, ethanolic extraction can be organic. In the context of propolis extraction, ethanolic extract of propolis (EEP) is obtained through ethanolic extraction of organic propolis resin, which is rich in bioactive compounds. The residues from this extraction process, composed of wax, resins, and gums, can still contain bioactive compounds suitable for applications like animal feed. Additionally, the recovery of ethanol from ethanol-water solutions using solvent extraction with liquid or supercritical carbon dioxide can significantly reduce energy requirements, making the process more environmentally friendly. Furthermore, an organic extraction system described in another study emphasizes the closed-loop system's ability to recover and reuse solvents, showcasing an eco-friendly approach to organic extraction.
How does extraction solvents affect the output of plant extraction?5 answersExtraction solvents play a crucial role in determining the output of plant extraction processes. Different solvents can impact the yield, purity, and quality of extracted compounds. Solvents like short-chain alcohols and salts in aqueous two-phase systems (ATPS) have been shown to improve the purity of extracts while enhancing extraction efficiency, especially when aided by ultrasound or microwave techniques. Factors such as solvent type, incubation time, and solvent-to-sample ratio significantly influence the extraction of compounds like anthocyanins from plants, with methanol and water-based solvents often yielding better results. Various extraction methods, including traditional techniques like maceration and innovative methods like microwave extraction, supercritical fluid extraction, and sonication, impact the success of extracting bioactive phytochemicals from plants. Additionally, the choice of solvent and extraction method can affect the composition of phytochemicals in the final extract.
Effectiveness of ethanol as a solvent in plant extraction for anticoagulant studies?4 answersEthanol has been evaluated as a solvent for plant extraction in anticoagulant studies in various research papers. Studies have shown that ethanol extracts of certain plants like Thymbra spicata and Satureja thymbra possess strong anticoagulant effects, significantly prolonging both Prothrombin time (PT) and Activated partial thromboplastin time (aPTT) values. Additionally, Origanum vulgare extracted with ethanol exhibited anticoagulant activity, making it a potential source for natural anticoagulant agents. Furthermore, in the evaluation of different organic solvents for plant extraction, ethanol extracts of Papaya and Congress grass demonstrated notable blood anticoagulant activity. Therefore, ethanol has shown effectiveness as a solvent in extracting plant compounds with anticoagulant properties, highlighting its significance in anticoagulant research.
What type of solvents were used in extraction?5 answersDeep eutectic solvents (DES) and natural deep eutectic solvents (NADES) were used as solvents in the extraction processes. Supercritical fluids, ionic liquids, and deep eutectic solvents were investigated as potential green solvents. Deep eutectic solvents (DESs) were used as a promising tool in dispersive liquid-liquid micro-extraction (DLLME). Green solvents such as water, ethanol, ethyl acetate, carbon dioxide, ionic liquids, and terpenes were used in modern extraction methods.
Why does ethanol does not maximize the extraction yiel in seed samples?3 answersEthanol does not maximize the extraction yield in seed samples because its presence only increases the rate of extraction, but it is not required for extraction. Other solvents, such as hexane and isopropanol, can be used as cosolvents to improve the solubility and yield of oil extraction from seeds. Additionally, ethanol can be used as a pretreatment to facilitate DNA extraction from plant tissues, resulting in less fragmented DNA and increased yield. In the case of radish seeds, pressurized ethanol extraction at specific conditions, such as a flow rate of 3 mL/min, a static time of 10 min, and a temperature of 150 °C, can enhance oil yields. However, in a liquid stream capture process for extracting components in a dry mill ethanol process, a dilute solvent stream of ethanol and water is used to separate sugars/carbohydrates, while a concentrated solvent stream of pure ethanol is used to extract oils and proteins from corn residue.

See what other people are reading

What are the sustainable development goals?
5 answers
The Sustainable Development Goals (SDGs) are a set of 17 global goals adopted by the United Nations in 2015 to address various pressing challenges such as poverty, inequality, climate change, and environmental degradation. These goals aim to create a sustainable and equitable future by focusing on eradicating poverty and hunger, combating climate change, and fostering a global partnership for sustainable development. The SDGs emphasize the interconnectedness of different aspects of development and stress the importance of leaving no one behind in the pursuit of sustainable development. Achieving the SDGs requires local action and the involvement of various stakeholders like governments, businesses, civil society, and individuals, along with investments in infrastructure, education, healthcare, and innovative solutions.
What are the relationship between photoluminescence characteristics to toxicity level of carbon dots?
5 answers
The relationship between the photoluminescence characteristics and toxicity level of carbon dots (CDs) is multifaceted, influenced by factors such as synthesis methods, surface functionalization, and environmental conditions. CDs exhibit a wide range of desirable properties, including excellent photoluminescence, photostability, and water solubility, which make them suitable for various applications in bioimaging and drug delivery. However, the toxicity levels of CDs can vary significantly depending on these characteristics. Photoluminescence properties, such as emission wavelength and quantum yield, are determined by the size, surface functional groups, and crystallinity of CDs. For instance, graphene quantum dots (GQDs) prepared through specific synthesis methods showed high fluorescence quantum yield and strong photoluminescence, indicating good biocompatibility for cell imaging and biolabeling applications. Similarly, CDs synthesized from green precursors demonstrated magnificent biocompatibility and excitation wavelength-dependent photoluminescence, making them potential candidates for sensing toxic heavy-metal ions in water sources. The surface functionalization of CDs plays a crucial role in their interaction with biological systems. CDs with abundant hydroxyl functional groups on their surface exhibited exceptional biocompatibilities to various biological entities, including human cell lines, indicating that surface functionality could mitigate toxicity. Conversely, photodegradation of CDs under illumination can lead to the formation of cytotoxic molecules, highlighting the importance of photostability in determining the cytocompatibility of CDs. Environmental conditions, such as light exposure, can also influence the toxicity of CDs. Laboratory-synthesized CDs irradiated with light degraded into molecules toxic to human cells, suggesting that photodegradation-induced cytotoxicity is a critical factor to consider. Furthermore, the synthesis method and starting materials can impact the toxicity profile of CDs, as demonstrated by the non-toxic nature of CDs prepared using a mixed-acid treatment, which showed no noticeable signs of toxicity in animal models. In summary, the photoluminescence characteristics of CDs, including their synthesis method, surface functionalization, and stability under environmental conditions, are closely related to their toxicity levels. Understanding these relationships is crucial for the safe design and application of CDs in biomedical and environmental fields.
Importance of harmony in investment partnerships?
5 answers
Harmony plays a crucial role in investment partnerships by fostering collaboration and synergy among partners. In the context of communal capitalism, exemplified by the Harmony Society, the harmonious integration of diverse individuals and resources led to significant economic success. Similarly, in the realm of image analysis, Harmony's ability to disentangle semantic content from transformations enhances the understanding of complex data, which can be applied to investment decision-making processes. By leveraging Harmony's capabilities, investment partnerships can achieve a better understanding of market dynamics, optimize resource allocation, and make informed investment choices, ultimately leading to improved outcomes and returns on investments.
Can heritage tourism be a sustainable source of income for developing countries?
5 answers
Heritage tourism has the potential to be a sustainable income source for developing countries, but it comes with challenges and considerations. Studies highlight the positive impacts of heritage tourism on economic gains, cultural rejuvenation, and infrastructure development. However, it also poses risks such as restrictions on local community participation, loss of livelihoods, and erosion of culture. Effective management and planning of cultural heritage tourism are crucial for sustainable regional development, integrating various elements of heritage into tourist products. Additionally, partnerships between international bodies, states, industries, and communities are essential for achieving equity and avoiding unintended outcomes from tourism development. Therefore, while heritage tourism can bring economic benefits, it must be carefully managed to ensure long-term sustainability and community well-being.
How does gestational diabetes affect the long-term health of the babies born to mothers with this condition?
5 answers
Babies born to mothers with gestational diabetes mellitus (GDM) face potential long-term health implications. They are at an increased risk of childhood and adult obesity, along with elevated cardiometabolic risks. Additionally, exposure to maternal diabetes during pregnancy can lead to respiratory health issues influenced by fetal and postnatal environmental factors, potentially resulting in respiratory disorders later in life. Furthermore, there are medium- and long-term risks beyond pregnancy for both the mother and child, emphasizing the importance of addressing lifestyle changes postpartum to mitigate these risks. Research suggests that maternal diabetes can have lasting effects on offspring health, necessitating further studies to understand the full extent of these consequences.
What are the current gaps in the literature on resilience theory and adaptive cycle?
5 answers
The literature on resilience theory and the adaptive cycle reveals several gaps that need to be addressed to advance our understanding and application of these concepts across various fields. One significant gap is the under-exploration of the intrinsic nature of tourism destinations as complex adaptive systems, highlighting the need for more studies on how dynamic interactions shape a destination's resilience and evolution process. Additionally, there is a call for a stronger conceptualization of organizational resilience and how it can be achieved through daily practices and processes, indicating a gap in the ongoing development of organization theory related to resilience. Another notable gap is the lack of explicit theoretical grounding in the vast majority of studies addressing social vulnerability, resilience, and adaptation (SVRA) aspects of natural hazards and climate change, which hampers the comparability and robustness of empirical research in this area. Similarly, while the adaptive cycle framework has been applied to supply chain resilience, there is a need for further exploration of its phases, pathologies, and key properties to extend dynamic theories of supply chain resilience. The absence of an overarching theory of supply chain resilience (SCRES) despite its recognition as a critical thematic block post-COVID-19 pandemic also underscores a gap in the literature. Furthermore, the integration of psychological and policy research on resilience through the Social Determinants of Resilience model reveals a gap in understanding how socioeconomically redistributive policies support resilience, particularly in preventing childhood traumatic and adverse experiences. The application of the adaptive cycle metaphor in ecological systems analysis points to methodological challenges and the need for more research on policy impacts on resilience in socio-ecological systems. The 2021 Texas polar vortex disaster highlights gaps in electric grid resilience against climate change-induced extremes, emphasizing the need for policy-driven improvements. Lastly, the transition from robust to resilience design in critical infrastructure systems (CISs) reveals ambiguities around the definition and application of technological resilience, indicating a gap in effective pre- and post-disruption planning. These gaps collectively suggest a need for more theoretically grounded, methodologically robust, and policy-oriented research to enhance our understanding of resilience and adaptive cycles across different systems and scales.
How does Fluorescence-based methods work in single molecule detection?
5 answers
Fluorescence-based methods in single molecule detection involve utilizing specific fluorescent labels to identify and track individual molecules within complex systems. These methods overcome traditional limitations by engineering a diverse palette of fluorescent labels, such as FRETfluors, each with unique spectroscopic properties. For small molecule detection, innovative strategies like smSimoa use aptamers and addressable DNA Nanoflowers for precise measurements at extremely low concentrations. Plasmonic coupling interactions near metallic nanostructures, facilitated by DNA origami techniques, enhance single molecule emission for diagnostic platforms. Additionally, fluorescence-lifetime imaging microscopy (FLIM) provides valuable insights by measuring the lifetime of fluorophores, enabling lifetime-based FRET and multiplexing. These approaches revolutionize single molecule detection by offering high sensitivity, precise tracking, and detailed molecular interactions within biological samples.
What is Perceived Usefulness and social networking?
5 answers
Perceived Usefulness in the context of social networking refers to the extent to which individuals believe that using social networking sites (SNSs) will enhance their performance or productivity in a specific task or activity. Several studies have highlighted the significance of Perceived Usefulness in influencing users' intentions to engage with social media platforms. Research has shown that Perceived Usefulness plays a crucial role in predicting users' attitudes and intentions towards utilizing SNSs for various purposes, such as business activities, e-learning, and information adoption. It has been identified as a key factor that mediates the relationship between different values (Functional, Emotional, Monetary) and users' intentions to patronize social networking sites.
How does FRET work in single molecule detection?
5 answers
Förster Resonance Energy Transfer (FRET) in single-molecule detection involves the non-radiative energy transfer from an excited donor fluorophore to a nearby acceptor fluorophore, enabling the measurement of distances at the nanometer scale. This technique is crucial for revealing the stoichiometry, dynamics, and interactions of individual molecular species within complex systems. By engineering a palette of fluorescent labels called FRETfluors, with specific FRET efficiencies based on their composition and dye-dye geometries, researchers have enabled spectroscopic multiplexing at the single-molecule level, expanding the detection capabilities to a set of 27 FRETfluors in a sample mixture. Additionally, the use of FRET-based biosensors, combined with computational generation of target-guided aptamers, has facilitated the sensitive and specific detection of biomolecules like the IsdA protein down to picomolar levels, showcasing the broad applicability of FRET in single-molecule detection.
How wharton jelly MSC affect nitric oxide pathway in hypertension?
5 answers
Wharton's jelly-derived mesenchymal stem cells (WJ-MSCs) have been shown to impact the nitric oxide (NO) pathway in hypertension. Studies have demonstrated that WJ-MSC transplantation can enhance endothelial nitric oxide synthase (eNOS) expression, leading to increased NO production. Additionally, research has indicated that WJ-MSCs play a role in regulating NO levels through the upregulation of NO synthase in hypertensive conditions. Furthermore, the antihypertensive effects of royal jelly, which contains bioactive components similar to those found in WJ-MSCs, have been linked to increased NO production and vasorelaxation through the NO/cGMP pathway. These findings collectively suggest that WJ-MSCs and related substances may modulate the NO pathway to alleviate hypertension.
How does emotion affect reaction time?
5 answers
Emotions have a significant impact on reaction time. Studies show that emotional stimuli can elicit specific effects on peripheral movement time, highlighting the emotion-motion link. Emotions, such as fear, anger, and happiness, can influence reaction times in tasks like implicit learning and cognitive tasks. For instance, the induction of happiness slightly prolonged reaction times compared to neutral states in implicit learning tasks among children. Additionally, emotional pictures can lead to delays in reaction times, especially when the emotional content of the picture differs from the accompanying word. Overall, emotions can both speed up and slow down reaction times, indicating the complex interplay between emotional states and cognitive processes.