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Drying Technology
An International Journal
Volume 37, 2019 - Issue 10
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Articles

Effect of high-humidity hot air impingement blanching (HHAIB) and drying parameters on drying characteristics and quality of broccoli florets

, , , , , , , & show all
Pages 1251-1264 | Received 22 Jan 2018, Accepted 25 Jun 2018, Published online: 07 Jan 2019
 

Abstract

In current work, the influences of high-humidity hot air impingement blanching (HHAIB) time (60, 90, 120, and 150 s), drying temperature (60, 65, 70, and 75 °C), and air velocity (6, 9, and 12 m/s) on drying characteristics and quality attributes of broccoli florets were explored. Extreme learning machine (ELM) was employed to describe the drying behavior of broccoli florets. Results showed that proper HHAIB pretreatment can extensively increase drying rate compared to the control group (unblanched samples). The entire drying process of broccoli florets occurred in the falling period. Besides, proper HHAIB pretreatment can enhance vitamin C preservation, the color quality, and the rehydration capacity of dried broccoli florets. Based on error analysis results, the prediction accuracy of the optimal ELM model with 4-50-1 topology is found to be satisfied for the moisture ratio prediction of broccoli florets during air impingement drying process, with the R2, χ2, and MSE reached to 0.9993, 8.04e−5, and 2.01e−4, respectively.

Disclosure statement

No potential conflict of interests was reported by the author(s).

Nomenclature
HHAIB=

high-humidity hot air impingement blanching

SLFN=

single layer feed-forward neural network

ELM=

extreme learning machine

R2=

coefficient of determination

χ2=

chi-suqare

MSE=

mean square error

MR=

moisture ratio

w.b.=

wet basis

CG=

control group

AID=

air impingement drying

Me=

equilibrium moisture content

d.b.=

dry basis

Mt=

moisture content at time t

M0=

initial moisture content

DR=

drying rate

L*=

lightness

a*=

redness/greenness

b*=

yellowness/blueness

ΔE=

total color difference

H0=

hue angle

BI=

browning index

RR=

rehydration ratio

Wr=

the weight of the sample after rehydration

Wd=

the weight after drying

Notes on contributors

Liu Z. L. and Xiao H. W. designed research; Liu Z. L. and Bai J. W. performed research; Liu Z. L., Yang W. X., Wang L., Deng L. Z., and Yu X. L. analyzed data; Liu Z. L., Zheng Z. A., Gao Z. J., and Xiao H. W. wrote the paper.

Additional information

Funding

This research is supported by the National Key Research and Development Program of China (No.2017YFD0400905), the National Natural Science Foundation of China (No. 31772026), the Project in the National Science & Technology Pillar Program during the 13th five-year Plan Period (2015BAD19B010201), and the Chinese Transformation Fund of Agricultural Scientific and Technological Achievements (No. 2014GB2G410112).

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