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Record W4324146575 · doi:10.1002/star.202200098

Incorporation of Plants Extracts and Essential Oils into Starch‐Based Films: A Comprehensive Review

2023· review· en· W4324146575 on OpenAlexaff
Saqib Farooq, Shabir Ahmad Mir, Manzoor Ahmad Shah, Annamalai Manickavasagan, Kappat Valiyapeediyekkal Sunooj, Mohammed Wasim Siddiqui, Amin Mousavi Khaneghah

Bibliographic record

VenueStarch - Stärke · 2023
Typereview
Languageen
FieldMaterials Science
TopicNanocomposite Films for Food Packaging
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsFood packagingStarchFood scienceEssential oilActive packagingFood industryBiochemical engineeringMaterials scienceChemistryEngineering

Abstract

fetched live from OpenAlex

Abstract Given the global environmental issues associated with petroleum‐based packaging materials, developing green packaging films is a promising innovative approach to packaging food products. In this regard, starch films added with plant extracts and essential oils have been explored for different packaging types of food products. The availability of starch in nature makes starch films a cheap substitute for petroleum‐based packaging material, thus reducing the impact on the environment, packaging costs, and complexity. Recent investigations emphasize identifying and isolating natural ingredients from different plants for use in starch‐based green packaging. Plant extracts and essential oils influence the mechanical and barrier properties and impart antioxidant and antimicrobial properties to the developed films. These films show promising applications in the food industry. This review provides recent insights into the effects of plant extracts and essential oils on starch‐based green packaging films' properties.

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)0.001
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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.760
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.075
GPT teacher head0.370
Teacher spread0.296 · 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 designSystematic review
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

Citations11
Published2023
Admission routes1
Has abstractyes

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