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Record W4415541557 · doi:10.1016/j.jfutfo.2025.07.015

Spatio-temporal water distribution and migration of sweetpotato treated with high voltage alternating electric field

2025· article· en· W4415541557 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Future Foods · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMagnetic and Electromagnetic Effects
Canadian institutionsUniversity of Guelph
FundersEarmarked Fund for China Agriculture Research SystemZhejiang A and F University
KeywordsXylemWater transportElectric fieldAquaporinWater contentIrrigationBound waterPostharvestTransmission electron microscopy

Abstract

fetched live from OpenAlex

• High voltage alternating electric field (HVAEF) inhibited sweetpotato water loss. • Spatio-temporal water distribution and migration of sweetpotato were investigated. • HVAEF reduced the osmotic potential variation between different parts than control. • Water transported via xylem vessels, vascular rays and intercellular plasmodesmata. • HVAEF targeted PIP-pTOM75 and PIP2;7 expression to lower osmotic potential gradient. Water loss is one of the major reasons for quality deterioration of postharvest agricultural products. High voltage alternating electric field (HVAEF) is an effective technology on water retention and quality maintenance. To examine the impact of HVAEF on the spatio-temporal water distribution and migration, the sweetpotato root was divided into three vertical sections: top, middle, and bottom. Additionally, the root was segmented horizontally into phloem, outer xylem, and inner xylem regions. The water content determination results showed that the top, middle, and xylem parts of the sweetpotato were abundant in water, indicating that the direction of water migration was from inside to outside, and from top to bottom. HVAEF maintained a 2%-5% higher water content and reduced osmotic potential variation between different parts of sweetpotato than control, contributing to less water loss. Low-field nuclear magnetic resonance showed a higher proportion of bound water in HVAEF treated sweetpotato, resulting in the reduced mobility. Transmission electron microscopy and optical microscopy observed the vertical water migration routes via xylem vessels, and horizontal water migration routes through vascular rays and plasmodesma, which might be the targets of HVAEF. Particularly, the one quarter gene expression of aquaporin PIP2;7 and doubled expression of PIP-pTOM75 in HVAEF treated sweetpotato resulted in lower osmotic potential gradient, which attenuated the water loss. This study draws a temporal and spatial water distribution map of postharvest sweetpotato to reveal the mechanism of HVAEF on water maintenance and provides a promising technology for food preservation.

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.

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 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 score0.008
Threshold uncertainty score0.242

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.002
GPT teacher head0.205
Teacher spread0.204 · 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