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Record W4414159021 · doi:10.1016/j.ifset.2025.104220

Comparative effects of improved schemes with shape adjustment and composite packaging on radio frequency heating of two-component rice

2025· article· en· W4414159021 on OpenAlexaff
Yingqi Tian, Mengge Li, Dongsheng Hu, Rui Li, Hosahalli S. Ramaswamy, Shaojin Wang

Bibliographic record

VenueInnovative Food Science & Emerging Technologies · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Drying and Modeling
Canadian institutionsMcGill University
FundersKey Research and Development Projects of Shaanxi ProvinceNational Natural Science Foundation of China
KeywordsComposite numberRadio frequencySensitivity (control systems)Sample (material)DiagonalTemperature measurementUniform distribution (continuous)

Abstract

fetched live from OpenAlex

To meet the demand for uniform reheating of two-component instant foods and address the uneven temperature distribution during radio frequency (RF) heating identified in previous sensitivity analysis, three improvement schemes with shape adjustment and composite packaging (annular protrusion (AP) of cooked rice, top composite plate (TCP), and bottom composite plate (BCP)) were developed based on screened system variables with positive effects. An integrated structural (INS) plan was then designed by combining the respective strengths of the three evaluated schemes of AP, TCP, and BCP. The RF heating performance of the selected INS sample was evaluated through simulation, some validated by experimental results. The results showed that the AP scheme achieved the relatively better uniformity in temperature distribution while ensuring rapid heating. The TCP and BCP schemes effectively adjusted the location of high-temperature region vertically and horizontally, respectively. Among all, the INS (H12.0-D40.0) sample was found to be the optimal scenario under the relatively high heating rate of 19.3 °C/min and the most uniform temperature distribution with experimental temperature uniformity index (0.038) for the whole sample and simulated heating uniformity index (0.043) for the diagonal longitudinal section. The proposed improvement schemes in this study and the relevant integration methodology of respective advantages may offer theoretical support for enhancing RF heating uniformity in other heterogeneous food products. • Shape adjustment and composite packaging were used to improve RF heating uniformity of two-component rice. • AP scheme achieved better temperature distribution, and TCP and BCP schemes adjusted the location of hot region. • INS (H12.0-D40.0) scheme was expected to have higher heating rate and relatively best RF heating uniformity. • Integration method of respective advantages could offer theoretical support to RF heating for heterogeneous foods.

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)0.001
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
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.269
Teacher spread0.251 · 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
Published2025
Admission routes1
Has abstractyes

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