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Record W3047216774

Food Chemistry 2018: Mathematical modeling of the chemical and sensory changes within almonds throughout storage- Ozan N Ciftci-University of Nebraska-Lincoln

2021· article· en· W3047216774 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of animal research · 2021
Typearticle
Languageen
FieldNursing
TopicNuts composition and effects
Canadian institutionsnot available
Fundersnot available
KeywordsRoastingFood scienceChemistryLipid oxidationMoistureWater contentEnvironmental scienceCartonContaminationFatty acidPulp and paper industryHorticultureWaste managementAntioxidantBiologyEngineeringOrganic chemistry
DOInot available

Abstract

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Additional investigations of almond degradation below typical industrial storage circumstances from a quantitative perspective are warranted. This education modelled the effects of packaging, temperature (TEMP), qualified humidity (RH), and boiling on chemical attributes of almonds kept according to common industry practices throughout 16 months. Almonds were assessed bimonthly for oxidation products, free fatty acids, moisture content, and water activity. Results indicated roasting almonds improved quality preservation. Models showed HBB (rather than PPB) to provide benefits to stability comparable to reductions in storage TEMP of ~15 to 30 °C. Roasted examples stayed stored in highA¢Â€Âbarrier bags (HBB) or polypropylene bags (PPB) at numerous mixtures of TEMP and RH. Raw samples were held in unlined cardboard cartons (UC) or PPB under the same conditions. Introduction: Due to their high percentage of unsaturated fatty acids, almonds are prone to oxidation (Sathe et al., 2008). Interior factors such as moisture happy (MC) of the nut, physical features of the nut, fatty acid arrangement, antioxidant content, and external area will also affect the rate of oxidation in almonds (Fennema, 1996; Shahidi & John, 2013). RH, O2 content, TEMP, light exposure, and packaging materials are all controllable factors that may affect the relative rates of oxidation in stored tree nuts. Almonds have been the largest specialty crop export in the United States (USDA, 2013). During storage, the physical and chemical quality of almonds will degrade and eventually result in consumer rejection. Roasting of almonds is also relevant to stability. Roasting of tree nuts is a common thermal process used to create specific flavor notes, darken color and add a more desirable crispy texture (Perren & Escher, 2013). Typically, the MC and a w are reduced while levels of CO2 and product brittleness are increased. Almond kernels have a compartmentalised microstructure that protects against oxidation, and evidence has shown this protective microstructure can be disrupted by roasting. The impact of extrinsic and intrinsic factors involved during storage on the quality of almonds requires further investigation and quantitation. This study aimed to measure the classical primary and secondary lipid oxidation products/markers (i.e., 1° – PV, FFA value, conjugated dienes value; 2° – 2A¢Â€Âthiobarbituric acid reactive substances) of almond degradation, as affected by roasting, packaging and storage conditions. Materials and methods: The effects of environmental storage conditions on raw and roasted almond quality characteristics were investigated with an incomplete factorial design. The combinations of factors were chosen in consultation with the Almond Board of California to be truly representative of storage strategies currently practiced by industry members. Different permutations of the possible factors produced 25 unique samples for assessment (Fig. 1). Raw almonds were divided into fourteen unique sample groups according to combinations of TEMP (n= 3), RH levels (n = 3), and packaging materials (n = 2). Two packaging materials were selected to compare the performance of raw almonds stored in current industry packaging strategies (UC) against more robust packaging strategies. Roasted almonds were divided into eleven unique sample groups according to predetermined combinations of TEMP (n = 3), RH levels (n = 3), and packaging materials (n = 2). Two packaging materials were selected to compare the performance of roasted almonds stored in current industry packaging strategies (sealed N2A¢Â€Âflushed HBB) against less robust packaging strategies (sealed N2A¢Â€Âflushed PPB). Sealed N2A¢Â€Âflushed PPB was used for both raw and roasted almonds to compare the performance of raw and roasted almonds packaged in identical packaging strategies. Roasted almond samples: Nonpareil’, supremeA¢Â€Âgrade, raw almond kernels with brown skins were processed and pasteurized as described above. Almonds were then dryA¢Â€Âroasted for 68 min at 122 °C at the Blue Diamond Growers’ Almond Processing Plant to achieve a light roast. All roasted almonds were pooled and mixed in a single composite sample prior to implementing the storage study. These samples are designated as “roasted” throughout the study. Grinding: FortyA¢Â€Âfive grams of whole almond kernels were ground using a Cuisinart DCGA¢Â€Â12BC (Cuisinart, East Windsor, NJ, USA) mill for 10 s with vigorous shaking. Samples were sorted and passed through a 16A¢Â€Âmesh Tyler standard screen (W.S. Tyler Industry Group, Mentor, OH, USA). This powder is referred to as ground almond powder. Free fatty acid (FFA) values: Free fatty acids were determined using the CPO by a modified procedure according to AOCS Official Method Ca 5aA¢Â€Â40 (AOCS, Urbana, IL, USA). Samples were evaluated in triplicate and reported as an FFA value (mg KOH required to neutralize 1 g of sample), calculated according to the following: FFA=(Ml koh*m*28.2)/(Mass(g)))*1.99 where M is the molarity of the KOH consumed; and mass represents the mass of the oil evaluated. Conclusion: Samples stored at the lowest assessed TEMP (4 °C) exhibited greater stability than those in higher TEMP. Samples stored at 50% RH exhibited greater stability than those stored at 65% RH. Our study found the roasting of almonds to improve product stability when packaged in PPB. Temperature and relative humidity are very important factors to the stability of almonds in storage, with higher TEMP and higher RH both consistently associated with more rapid physicochemical degradation. The choice of packaging will be dictated by economics and the storage conditions to which the almonds are subjected. The predictive models of degradation rates can be used to compare the expected quantitative effects of common industryA¢Â€Âpractice storage factors. It is suggested these predictive models be reviewed when determining appropriate storage strategies for almonds. another positive indicator of primary lipid oxidation, the modeled proliferation rates present less clear patterns regarding the importance of packaging materials. The two samples exhibiting the lowest proliferation rates were the two (raw and roasted) stored in PPB at 4 °C, marginally outperforming the roasted sample in HBB stored under the same TEMP. Acknowledgments: The authors acknowledge the Almond Board of California for its financial contribution to this research and Blue Diamond Almonds for helping to secure the raw and roasted ‘Nonpareil’ almonds necessary to complete this study. Note: This work is partly presented at 3rd International Conference on Food Chemistry & Nutrition May 16-18, 2018 Montreal, Canada.

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)0.001
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 score0.052
Threshold uncertainty score0.316

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.091
GPT teacher head0.351
Teacher spread0.260 · 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