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Record W4413801136 · doi:10.1016/j.afres.2025.101305

Fortification of lentil chips with multiple vitamins and minerals using hot extrusion technology: effects of moisture, extrusion temperature, conditioning, and storage techniques

2025· article· en· W4413801136 on OpenAlex
Mohammad Mainuddin Molla, Biddut Chandra Dey, Md. Hafizul Haque Khan, Ashfak Ahmed Sabuz, Md. Golam Ferdous Chowdhury, Md. Shahinuzzaman, Anjumanara Khatun, Md. Abdus Salam, A. B. M. Khaldun, Pankaj Bhowmik, Joanne Sharp, Rajib Podder, Ifran - Al - Rafi

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueApplied Food Research · 2025
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of SaskatchewanGlobal Institute for Water SecuritySaskatchewan Research Council (Canada)
FundersBangladesh Agricultural Research CouncilNational Research Council CanadaKrishi Gobeshona FoundationUniversity of Saskatchewan
KeywordsExtrusionConditioningMoistureMaterials scienceExtrusion cookingFood scienceProcess engineeringEnvironmental scienceMetallurgyChemistryComposite materialEngineeringMathematics

Abstract

fetched live from OpenAlex

This study sought to explore the development and fortification of lentil chips using hot extrusion technology (HET) to find out the effect of moisture, extrusion temperature, conditioning time, and storage life. The chips were fortified using four food fortifying agents, viz. FAO recommended vitamin and mineral premixes (T 2 ), carrot powder (T 3 ), pumpkin powder (T 4 ), and a combination of carrot and pumpkin powder (T 5 ) with control (T 1 ). High barrel temperature, increasing viscosity of the dough in the shaft of the gearbox, feed moisture, material ratio, feeding rate, and feeding & conditioning time were the main barriers of single screw extruders for producing high-yield quality chips. Results revealed that incorporation of whole lentils with other ingredients, 1.0 % feed moisture, conditioning 2-3 hrs, feed rate and time 4.12 kg/hr, and extrusion temperature 115 ± 5 °C led to an increase in the yield of chips (4 kg/hr or 8000 pouches/hr) with higher swelling capacity. The study indicates that fortification process increased crude protein, β-carotene, vitamin C, vitamin D and bioactive compounds as compared to control with a range of 23.07 to 26.31 %, 39.43 to 43.81 mg/100 g, 3.21 to 3.53 mg/100 g, 53.48 to 69.34 µg/100 g and 7.14 to 9.95 mg GAE/100 g respectively. The chips fortified with native sources of raw materials (T 3 -T 5 ) contained higher levels of nutritional and bioactive compounds compared to those with multiple vitamins and minerals (T 2 ). Similarly, the loss of vitamin C and β-carotene during processing and fortification had been documented from 19.19 to 20.49 % and 2.08 to 40.34 % respectively. Moreover, native sources of fortification agents, especially combined pumpkin and carrot powder (T 5 ), were found to be promising as an alternative to FAO-recommended multi-vitamin and mineral premixes. The sensory evaluation confirms that the fortified chips accomplished the highest overall acceptability score from 7.13 to 7.25, with better crispiness (7.50-7.57). The marketable life of the chips could be extended up to 4 months at ambient conditions. The benefit-cost ratio (BCR) of the chips for retail and wholesale prices was calculated as 2:1 and 1.6:1. The findings suggest that the processors could simply process the lentil chips as a low-cost technique by fixing the feed moisture, extrusion temperature, and conditioning time with a single screw extruder.

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 score0.013
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.027
GPT teacher head0.309
Teacher spread0.282 · 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