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Record W4323816043 · doi:10.1002/pts.2723

Poly‐L‐lactic acid/lead(II) acetate basic colour indicator membrane for visual monitoring in shrimp freshness

2023· article· en· W4323816043 on OpenAlexaff
Yue Dong, Wuliang Sun, Wenbo Li, Lianye Li, Fei Xia, Lingling Wu, Ye Jin, Marleny D.A. Saldaña, Wenxiu Sun

Bibliographic record

VenuePackaging Technology and Science · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsUniversity of Alberta
FundersNatural Science Foundation of Inner MongoliaNational Natural Science Foundation of China
KeywordsShrimpMembraneLactic acidNaked eyeChemistryFood scienceHydrogen sulfideChromatographyBiochemistryDetection limitBiologyFisheryOrganic chemistryBacteriaSulfur

Abstract

fetched live from OpenAlex

Abstract Seafood products are prone to deterioration and, therefore, require a label that identifies quality with the naked eye. A visual freshness colour indicator membrane incorporated with poly‐L‐lactic acid and lead(II) acetate basic is designed via electrospinning technology for freshness monitoring. The colour indicator membrane had a uniform fibre thickness with an average diameter of 1.54 μm and a large specific surface area. In addition, the colour stability of the membrane did not vary with temperature and humidity. The hydrogen sulfide (H2S) responsivity results showed that the membrane gave a rapid and accurate response to the freshness of shrimp, and the detection limit of H2S is 0.45 ppm. Finally, in application, the colour change of the membrane correlated linearly with the freshness of the shrimp, allowing the quality of the shrimp to be identified with the naked eye. The experimental results showed that poly‐L‐lactic acid/lead(II) acetate basic colour indicator membrane had great potential in the detection of shrimp freshness.

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 score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.038
GPT teacher head0.300
Teacher spread0.262 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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