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ANTIOXIDANT EFFECT AND DNA PROTECTIVE EFFECT OF VARIOUS ENZYMATIC EXTRACTS FROM <i>PERILLA FRUTESCENS </i>VAR. <i>CRISPA</i>

2007· article· en· W2037975907 on OpenAlexaff
E. T. Kim, Seung‐Jae Lee, You‐Jin Jeon, C. Ahn, Min Dong Song, Tae-Kyu Park, Sang-Ho Moon, B. T. Jeon, Fereidoon Shahidi, PYO‐JAM PARK

Bibliographic record

VenueJournal of Food Lipids · 2007
Typearticle
Languageen
FieldMedicine
TopicNatural Products and Biological Research
Canadian institutionsMemorial University of Newfoundland
FundersKonkuk University
KeywordsChemistryDPPHPerilla frutescensAntioxidantTrypsinFood sciencePapainEnzymeBiochemistry

Abstract

fetched live from OpenAlex

ABSTRACT The antioxidant activity of enzymatic extracts from Perilla frutescens var. crispa was evaluated using 1,1‐diphenyl‐2‐picrylhydrazyl (DPPH) radical, hydroxyl radical and alkyl radical‐scavenging activity by employing an electron spin resonance methodology. P. frutescens var. crispa was enzymatically hydrolyzed by eight carbohydrases (Dextrozyme, AMG, Promozyme, Maltogenase, Termamyl, Viscozyme, Celluclast, BAN [Novo Co., Novozyme Nordisk, Bagsvaerd, Denmark]) and nine proteases (Flavourzyme, Neutrase, Protamex, Alcalase, PP‐trypsin [trypsin from porcine pancreas; Novo Co.], papain, pepsin, α‐chymotrypsin, BP‐trypsin [trypsin from bovine pancreas; Sigma Chemical Co., St. Louis, MO]). The DPPH radical‐scavenging activities of Dextrozyme and Neutrase extracts from P. frutescens var. crispa were the highest and the IC50 values were 60.12 and 112.81 µg/mL, respectively. All enzymatic extracts of P. frutescens var. crispa scavenged hydroxyl radical and the scavenging activity increased in a dose‐dependent manner; the IC50 values of Viscozyme and BP‐trypsin, which showed the highest activity, were 0.78 and 0.26 mg/mL, respectively. In addition, the Termamyl and Protamex extracts of P. frutescens var. crispa showed the highest alkyl radical‐scavenging activities, and the IC50 values were 248.13 and 415.23 µg/mL, respectively. The Viscozyme and BP‐trypsin extracts from P. frutescens var. crispa showed protective effect against H2O2‐induced DNA damage. These results indicate that enzymatic extracts of P. frutescens var. crispa possess antioxidant activity. PRACTICAL APPLICATIONS Perilla frutescens var. crispa could be used to produce protein and carbohydrate extracts with antioxidative activeity. Many industrial commercial enzymes, such as Promozyme, Celluclast 1.5 L FG, Maltogenase L, Viscozyme L, Termamyl SC, Dextrozyme E, AMG 300 L, Protamex, Flavourzyme 500 MG, Neutrase 0.8 L, Puncreatic Trypsin and Alcalase 2.4 L, could also be used to attain the extracts processing the high antioxidative activity. The extracts can be used as natural antioxidants.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.296
Teacher spread0.284 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations5
Published2007
Admission routes1
Has abstractyes

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