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Record W4402956545 · doi:10.5376/ija.2024.14.0011

Phytochemical Properties and Nutritional Benefits of Lotus Rhizome (Nelumbo nucifera): A Comprehensive Review

2024· review· en· W4402956545 on OpenAlexvenueno aff
Fei Zhao, Fan Wang

Bibliographic record

VenueInternational Journal of Aquaculture · 2024
Typereview
Languageen
FieldChemistry
TopicChromatography in Natural Products
Canadian institutionsnot available
Fundersnot available
KeywordsNelumbo nuciferaPhytochemicalLotusRhizomeBiologyTraditional medicineBotanyMedicine

Abstract

fetched live from OpenAlex

The lotus rhizome ( Nelumbo nucifera ), a significant component in traditional medicine and cuisine across Asia, has gained attention for its diverse phytochemical properties and nutritional benefits. This study systematically examines the existing literature on the phytochemical composition, bioactive compounds, and nutritional value of lotus rhizome. Key phytochemicals, including polyphenols, flavonoids, and alkaloids, are explored for their antioxidant, anti-inflammatory, and anti-carcinogenic properties. Nutritional analysis reveals the rhizome's rich content of essential vitamins, minerals, and dietary fiber, emphasizing its role in promoting health and preventing chronic diseases. This study also discusses the potential applications of lotus rhizome in functional foods and nutraceuticals, highlighting its therapeutic potential. Future research directions are suggested to further elucidate the mechanisms underlying the health benefits of lotus rhizome and to optimize its use in food and pharmaceutical industries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.612
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.062
GPT teacher head0.327
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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