Paper · 2020 · International Journal of Food Properties

Optimization of hot air drying process of corn using genetic algorithm and response surface methodology

Junyi Chen; Wenfu Wu; Rongmin Cheng; et al.

9
claims
21
verbatim quotes
17
citations
3
research areas
✓
Open access · cc-by

Abstract

To study the effect of temperature and humidity on the drying indexes and quality indexes of corn and to optimize the corn drying process, an orthogonal experiment of hot air drying with variable temperature and humidity was designed. The drying process of the actual dryer was simulated by taking the gradient of hot air temperature (x) and the gradient of absolute humidity (y) as the experimental factors. The results showed that the drying indexes (drying time, average drying rate, accumulated temperature) reached optimal values under the drying conditions of cooling and dehumidifying; among them, the optimal value of x was 10 °C (50 °C, 40 °C, and 30 °C), and the optimal value of y was 8 g/m3 (25 g/m3, 17 g/m3, and 9 g/m3). The quality indexes (percentage of damage, fatty acid value, germination rate) reached the optimal values under the drying conditions of heating and humidifying; among them, the optimal value of y for the three quality indicators was 8 g/m3 (9 g/m3, 17 g/m3, and 25 g/m3), but the optimal value of x were different, the optimal value of x were 2.65 °C (39.35 °C, 42 °C, and 44.65 °C), 2.24 °C (39.76 °C, 42 °C, and 44.24 °C) and 6.33 °C (35.67 °C, 42 °C, and 48.33 °C). A genetic algorithm was used to transform the multi-objective function into one index, and the results show that: when x was 2.26°C (39.74°C, 42.00°C, and 44.26°C), y was 4.84 g/m3 (12.16 g/m3, 17.00 g/m3, and 21.84 g/m3), the comprehensive characteristics of the drying process can be optimized.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 9

Intervention effectobservedoriginal resultpositivesimulated

Claim · model-written summary

Cooling and dehumidifying yielded optimal drying time, average drying rate and accumulated temperature.

Treatment
cooling and dehumidifyinge0
Outcome
drying time, average drying rate, accumulated temperaturee0
Direction
optimale0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“The results showed that the drying indexes (drying time, average drying rate, accumulated temperature) reached optimal values under the drying conditions of cooling and dehumidifying”

✓ located verbatim in the source · abstract, characters 409–591 · show in text ↑
t0

“corn”

✓ located verbatim in the source · title, characters 42–46 · show in text ↑
Observationobservedoriginal resultpositivesimulated

Claim · model-written summary

The optimal temperature gradient for drying indexes was 10 °C.

Outcome
optimal value of xe0
Direction
optimale0
Value
10 °Ce0
Qualifier
50 °C, 40 °C, and 30 °Ce0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the optimal value of x was 10 °C (50 °C, 40 °C, and 30 °C)”

✓ located verbatim in the source · abstract, characters 605–663 · show in text ↑
t0

“corn”

✓ located verbatim in the source · title, characters 42–46 · show in text ↑
Observationobservedoriginal resultpositivesimulated

Claim · model-written summary

The optimal humidity gradient for drying indexes was 8 g/m3.

Outcome
optimal value of ye0
Direction
optimale0
Value
8 g/m3e0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the optimal value of y was 8 g/m3 (25 g/m3, 17 g/m3, and 9 g/m3)”

✓ located verbatim in the source · abstract, characters 669–733 · show in text ↑
t0

“corn”

✓ located verbatim in the source · title, characters 42–46 · show in text ↑
Intervention effectobservedoriginal resultpositivesimulated

Claim · model-written summary

Heating and humidifying yielded optimal damage percentage, fatty acid value and germination rate.

Treatment
heating and humidifyinge0
Outcome
percentage of damage, fatty acid value, germination ratee0
Direction
optimale0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“The quality indexes (percentage of damage, fatty acid value, germination rate) reached the optimal values under the drying conditions of heating and humidifying”

✓ located verbatim in the source · abstract, characters 735–895 · show in text ↑
t0

“corn”

✓ located verbatim in the source · title, characters 42–46 · show in text ↑
Observationobservedoriginal resultpositivesimulated

Claim · model-written summary

The optimal humidity gradient for all three quality indicators was 8 g/m3.

Outcome
optimal value of y for the three quality indicatorse0
Direction
optimale0
Value
8 g/m3e0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the optimal value of y for the three quality indicators was 8 g/m3 (9 g/m3, 17 g/m3, and 25 g/m3)”

✓ located verbatim in the source · abstract, characters 909–1006 · show in text ↑
t0

“corn”

✓ located verbatim in the source · title, characters 42–46 · show in text ↑
Observationobservedoriginal resultpositivesimulated

Claim · model-written summary

The optimal temperature gradient for damage percentage was 2.65 °C.

Outcome
percentage of damagee1
Direction
optimale0
Value
2.65 °Ce0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the optimal value of x were 2.65 °C (39.35 °C, 42 °C, and 44.65 °C), 2.24 °C (39.76 °C, 42 °C, and 44.24 °C) and 6.33 °C (35.67 °C, 42 °C, and 48.33 °C)”

✓ located verbatim in the source · abstract, characters 1051–1203 · show in text ↑
e1

“quality indexes (percentage of damage, fatty acid value, germination rate)”

✓ located verbatim in the source · abstract, characters 739–813 · show in text ↑
t0

“corn”

✓ located verbatim in the source · title, characters 42–46 · show in text ↑
Observationobservedoriginal resultpositivesimulated

Claim · model-written summary

The optimal temperature gradient for fatty acid value was 2.24 °C.

Outcome
fatty acid valuee1
Direction
optimale0
Value
2.24 °Ce0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the optimal value of x were 2.65 °C (39.35 °C, 42 °C, and 44.65 °C), 2.24 °C (39.76 °C, 42 °C, and 44.24 °C) and 6.33 °C (35.67 °C, 42 °C, and 48.33 °C)”

✓ located verbatim in the source · abstract, characters 1051–1203 · show in text ↑
e1

“quality indexes (percentage of damage, fatty acid value, germination rate)”

✓ located verbatim in the source · abstract, characters 739–813 · show in text ↑
t0

“corn”

✓ located verbatim in the source · title, characters 42–46 · show in text ↑
Observationobservedoriginal resultpositivesimulated

Claim · model-written summary

The optimal temperature gradient for germination rate was 6.33 °C.

Outcome
germination ratee1
Direction
optimale0
Value
6.33 °Ce0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the optimal value of x were 2.65 °C (39.35 °C, 42 °C, and 44.65 °C), 2.24 °C (39.76 °C, 42 °C, and 44.24 °C) and 6.33 °C (35.67 °C, 42 °C, and 48.33 °C)”

✓ located verbatim in the source · abstract, characters 1051–1203 · show in text ↑
e1

“quality indexes (percentage of damage, fatty acid value, germination rate)”

✓ located verbatim in the source · abstract, characters 739–813 · show in text ↑
t0

“corn”

✓ located verbatim in the source · title, characters 42–46 · show in text ↑
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

The multiobjective algorithm optimized comprehensive drying characteristics at x 2.26°C and y 4.84 g/m3.

Outcome
comprehensive characteristics of the drying processe0
Value
2.26°Ce0
Qualifier
4.84 g/m3e0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“when x was 2.26°C (39.74°C, 42.00°C, and 44.26°C), y was 4.84 g/m3 (12.16 g/m3, 17.00 g/m3, and 21.84 g/m3), the comprehensive characteristics of the drying process can be optimized.”

✓ located verbatim in the source · abstract, characters 1319–1501 · show in text ↑
t0

“corn”

✓ located verbatim in the source · title, characters 42–46 · show in text ↑

heat · pest · Zea mays (maize)Positive and negative results

4 papers: 2 positive, 2 negative or no effect

1 paper in the same direction as this paper · 2 in the opposite direction

  1. negative
  2. negative
  3. positive
See all 4 papers →

processing · quality: postharvest · Zea mays (maize)Positive and negative results

19 papers: 16 positive, 3 negative or no effect

15 papers in the same direction as this paper · 3 in the opposite direction

  1. no effect
  2. no effect
  3. no effect

15 papers more in this group

See all 19 papers →

Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.