Subtopic Deep Dive
Clinacanthus Nutans Phytochemistry
Research Guide
What is Clinacanthus Nutans Phytochemistry?
Clinacanthus nutans phytochemistry studies the identification and characterization of flavonoids, phenolics, triterpenoids, clerodane diterpenes, and cerebrosides in Clinacanthus nutans leaves and stems using HPLC, GC-MS, NMR spectroscopy, and optimized extraction methods.
Researchers profile secondary metabolites in Clinacanthus nutans, known as Sabah snake grass, to support its traditional uses in treating skin rashes, snake bites, and lesions. Key techniques include response surface methodology for extraction optimization and NMR-based metabolomics for compound diversity. Over 10 papers from 2004-2020 document 1,300+ citations on these phytochemical analyses.
Why It Matters
Phytochemical profiling of Clinacanthus nutans enables standardization of extracts for cosmeceutical products, as shown in extraction optimization yielding high phenolic content (Intan Soraya Che Sulaiman et al., 2017, 306 citations). It elucidates mechanisms for anti-inflammatory effects via cytokine inhibition and Toll-like receptor-4 blockade (Chun-Wai Mai et al., 2016, 79 citations). Bioactive constituents like cerebrosides support antioxidant and antiproliferative activities against cancer cell lines (Santi Sakdarat et al., 2009, 137 citations; Yoke Keong Yong et al., 2013, 104 citations).
Key Research Challenges
Extraction Optimization Variability
Solvent ratios, temperature, and time affect phenolic yield and anti-radical activity, requiring response surface methodology for modeling (Intan Soraya Che Sulaiman et al., 2017). Microwave-assisted and supercritical CO2 methods show inconsistent scalability (Ana Najwa Mustapa et al., 2015).
Phytochemical Diversity Profiling
NMR metabolomics reveals correlations between extract compositions and bioactivities, but linking specific flavonoids and triterpenoids to functions remains complex (Leng Wei Khoo et al., 2015). Age-dependent changes in chalcone synthase activity alter metabolite levels across plant stages (Ali Ghasemzadeh et al., 2014).
Bioactivity Mechanism Elucidation
Antioxidant and antiproliferative effects need precise compound isolation, as mixed cerebrosides and diterpenes complicate attribution (Santi Sakdarat et al., 2009; Pittaya Tuntiwachwuttikul et al., 2004).
Essential Papers
Effects of temperature, time, and solvent ratio on the extraction of phenolic compounds and the anti-radical activity of Clinacanthus nutans Lindau leaves by response surface methodology
Intan Soraya Che Sulaiman, Mahiran Basri, Hamid Reza Fard Masoumi et al. · 2017 · Chemistry Central Journal · 306 citations
This study could be useful in the development of cosmeceutical products containing extracts of C. nutans.
Clinacanthus nutans : A review of the medicinal uses, pharmacology and phytochemistry
Ariful Alam, Sahena Ferdosh, Kashif Ghafoor et al. · 2016 · Asian Pacific Journal of Tropical Medicine · 163 citations
Clinacanthus nutans Lindau is known as snake grass belonging to the Acanthaceae family. This plant has diverse and potential medicinal uses in traditional herbal medicine for treating skin rashes, ...
Bioactive constituents from the leaves of Clinacanthus nutans Lindau
Santi Sakdarat, Aussavashai Shuyprom, Chamsai Pientong et al. · 2009 · Bioorganic & Medicinal Chemistry · 137 citations
Extraction of phytocompounds from the medicinal plant Clinacanthus nutans Lindau by microwave-assisted extraction and supercritical carbon dioxide extraction
Ana Najwa Mustapa, Ángel Martín, Rafael B. Mato et al. · 2015 · Industrial Crops and Products · 129 citations
<i>Clinacanthus nutans</i>Extracts Are Antioxidant with Antiproliferative Effect on Cultured Human Cancer Cell Lines
Yoke Keong Yong, Jun Jie Tan, Soek Sin Teh et al. · 2013 · Evidence-based Complementary and Alternative Medicine · 104 citations
Clinacanthus nutans Lindau leaves (CN) have been used in traditional medicine but the therapeutic potential has not been explored for cancer prevention and treatment. Current study aimed to evaluat...
Phytochemical diversity of Clinacanthus nutans extracts and their bioactivity correlations elucidated by NMR based metabolomics
Leng Wei Khoo, Ahmed Mediani, Nur Khaleeda Zulaikha Zolkeflee et al. · 2015 · Phytochemistry Letters · 86 citations
Potentially Bioactive Metabolites from Pineapple Waste Extracts and Their Antioxidant and α-Glucosidase Inhibitory Activities by 1H NMR
Awanis Azizan, Ai Xin Lee, Nur Ashikin Abdul‐Hamid et al. · 2020 · Foods · 85 citations
Pineapple (Ananas comosus) waste is a promising source of metabolites for therapeutics, functional foods, and cosmeceutical applications. This study strives to characterize the complete metabolite ...
Reading Guide
Foundational Papers
Start with Santi Sakdarat et al. (2009, 137 citations) for core bioactive isolation; Yoke Keong Yong et al. (2013, 104 citations) for antioxidant assays; Pittaya Tuntiwachwuttikul et al. (2004, 72 citations) for cerebrosides structures.
Recent Advances
Study Intan Soraya Che Sulaiman et al. (2017, 306 citations) for extraction RSM; Leng Wei Khoo et al. (2015, 86 citations) for metabolomics; Chun-Wai Mai et al. (2016, 79 citations) for anti-inflammatory mechanisms.
Core Methods
HPLC/GC-MS for phenolics (Sulaiman et al., 2017); NMR spectroscopy for diversity (Khoo et al., 2015); chalcone synthase assays for age effects (Ghasemzadeh et al., 2014); response surface methodology for optimization.
How PapersFlow Helps You Research Clinacanthus Nutans Phytochemistry
Discover & Search
PapersFlow's Research Agent uses searchPapers and citationGraph to map 306-cited extraction optimization from Intan Soraya Che Sulaiman et al. (2017), then findSimilarPapers for NMR metabolomics parallels like Leng Wei Khoo et al. (2015). exaSearch uncovers lesser-known foundational works such as Pittaya Tuntiwachwuttikul et al. (2004) on cerebrosides.
Analyze & Verify
Analysis Agent applies readPaperContent to parse HPLC and GC-MS data from Ariful Alam et al. (2016), then verifyResponse with CoVe checks claims against GRADE grading for evidence strength in bioactivity correlations. runPythonAnalysis statistically verifies phenolic yield models from response surface methodology via NumPy regression on Sulaiman et al. (2017) datasets.
Synthesize & Write
Synthesis Agent detects gaps in clerodane diterpene mechanisms post-Alam et al. (2016) review, flagging contradictions in age-related synthesis (Ghasemzadeh et al., 2014). Writing Agent uses latexEditText and latexSyncCitations to draft methods sections, latexCompile for full papers, and exportMermaid for extraction workflow diagrams.
Use Cases
"Compare phenolic extraction yields across solvents in Clinacanthus nutans using Python stats"
Research Agent → searchPapers('Clinacanthus nutans extraction') → Analysis Agent → readPaperContent(Sulaiman 2017) → runPythonAnalysis(pandas plot of RSM data) → matplotlib yield comparison chart.
"Draft LaTeX review on Clinacanthus nutans flavonoids with citations"
Synthesis Agent → gap detection(Alam 2016 + Sakdarat 2009) → Writing Agent → latexEditText(structured abstract) → latexSyncCitations(10 papers) → latexCompile(PDF review with NMR figures).
"Find code for GC-MS analysis of Clinacanthus nutans metabolomics"
Research Agent → paperExtractUrls(Khoo 2015) → Code Discovery → paperFindGithubRepo → githubRepoInspect(NMR processing scripts) → runPythonAnalysis(sandbox metabolite peak detection).
Automated Workflows
Deep Research workflow conducts systematic review of 50+ Clinacanthus nutans papers: searchPapers → citationGraph → GRADE evidence synthesis on extraction methods. DeepScan applies 7-step analysis with CoVe checkpoints to verify bioactivity claims from Yong et al. (2013). Theorizer generates hypotheses on chalcone synthase regulation from Ghasemzadeh et al. (2014) metabolomics.
Frequently Asked Questions
What defines Clinacanthus nutans phytochemistry?
It covers isolation of flavonoids, phenolics, triterpenoids, clerodane diterpenes, and cerebrosides using HPLC, GC-MS, and NMR (Ariful Alam et al., 2016; Santi Sakdarat et al., 2009).
What are main methods in this subtopic?
Response surface methodology optimizes extractions (Intan Soraya Che Sulaiman et al., 2017); NMR metabolomics profiles diversity (Leng Wei Khoo et al., 2015); microwave and supercritical CO2 enhance yields (Ana Najwa Mustapa et al., 2015).
What are key papers?
Top cited: Sulaiman et al. (2017, 306 citations) on RSM extraction; Alam et al. (2016, 163 citations) review; Sakdarat et al. (2009, 137 citations) on bioactive constituents.
What open problems exist?
Scalable isolation of specific diterpenes for standardization; linking plant age to metabolite bioactivity (Ali Ghasemzadeh et al., 2014); mechanistic validation of anti-inflammatory cytokines (Chun-Wai Mai et al., 2016).
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Part of the Medicinal Plant Studies Research Guide