Effect of freeze-thaw pretreatment on yield and quality of perilla seed oil

Effect of freeze-thaw pretreatment on yield and quality of perilla seed oil

Journal Pre-proof Effect of freeze-thaw pretreatment on yield and quality of perilla seed oil Kyo-Yeon Lee, M. Shafiur Rahman, Ah-Na Kim, Yejin Son, S...

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Journal Pre-proof Effect of freeze-thaw pretreatment on yield and quality of perilla seed oil Kyo-Yeon Lee, M. Shafiur Rahman, Ah-Na Kim, Yejin Son, Suyeon Gu, Myoung-Hee Lee, Jung In Kim, Tae Joung Ha, Doyeon Kwak, Hyun-Jin Kim, William L. Kerr, SungGil Choi PII:

S0023-6438(20)30014-1

DOI:

https://doi.org/10.1016/j.lwt.2020.109026

Reference:

YFSTL 109026

To appear in:

LWT - Food Science and Technology

Received Date: 17 June 2019 Revised Date:

29 November 2019

Accepted Date: 4 January 2020

Please cite this article as: Lee, K.-Y., Rahman, M.S., Kim, A.-N., Son, Y., Gu, S., Lee, M.-H., Kim, J.I., Ha, T.J., Kwak, D., Kim, H.-J., Kerr, W.L., Choi, S.-G., Effect of freeze-thaw pretreatment on yield and quality of perilla seed oil, LWT - Food Science and Technology (2020), doi: https://doi.org/10.1016/ j.lwt.2020.109026. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier Ltd.

Author statement

Authors Kyo-Yeon Lee

Contributions Experimental design, Conducted experiments and Methodology, data curation, primary draft, and reviewer (s) responses

M. Shafiur Rahman

Data curation, Methodology, writing origin draft, and reviewer (s) responses

Ah-Na Kim

Conducted experiments and Methodology

Yejin Son, Suyeon

Conducted experiments

Gu Myoung-Hee Lee,

Ideas, Planning, Funding acquisition, Project administration

Jung In Kim, Tae Joung Ha, and Doyeon Kwak Hyun-Jin Kim

Ideas, Planning, Data curation, and Statistical analysis

William L. Kerr

Review and editing

Sung-Gil Choi

Ideas, Planning, Study design, Review and editing, and supervision whole study

Effect of freeze-thaw pretreatment on yield and quality of perilla seed oil

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Kyo-Yeon Leea, M. Shafiur Rahmanb,c, Ah-Na Kima, Yejin Sona, Suyeon Gua, Myoung-Hee

4

Leed, Jung In Kimd, Tae Joung Had, Doyeon Kwakd, Hyun-Jin Kimc, William L. Kerre and

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Sung-Gil Choic*

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a

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South Korea

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b

Division of Applied Life Science (BK21 Plus), Gyeongsang National University, Jinju 52828,

Department of Food Engineering and Technology, State University of Bangladesh, Dhaka 1205,

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Bangladesh

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c

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Gyeongsang National University, Jinju 52828, South Kore

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d

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e

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GA 30602–2610, USA

Department of Food Science and Technology (Institute of Agriculture and Life Sciences),

Department of Southern Area Crop Science, NICS, RDA, Miryang, Korea

Department of Food Science and Technology, University of Georgia, 100 Cedar Street, Athens,

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*Corresponding Author: Sung-Gil Choi

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Email: [email protected]

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Tel: +82-55-772-1906; Fax: +82-55-772-1909

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1

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Abstract

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This work investigated the effect of freeze-thaw (FT) pretreatment on the yield and quality of oil

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cold-pressed from perilla seeds. FT pretreatment ruptured the perilla seed coat and internal

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structure, resulting in an oil yield of 78.71%, about 2.5-times greater than the yield from

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untreated control perilla seeds. Acid values were relatively low (0.54 mg KOH/g) and not

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different in the FT-treated and control oil. Likewise, peroxide values were low (1.34 meq/kg)

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and not different amongst the treatment groups. Viscosity values (96.5 mPa s) were indicative of

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a light oil while color values (L*a*b*) indicated a light yellow-green color. The major

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unsaturated fatty acids were identified as linolenic acid (C18:3, ω−3), linoleic acid (C18:2, ω−6),

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and oleic acid (C18:1, ω−9). The most abundant volatiles were 1-(furan-2-yl)-4-methylpentan-1-

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one and 3-(4-methyl-3-pentenyl)-furan in both of the oil samples. However, the normalized

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relative intensity of the volatile compounds was reduced in the FT-treated PO. The acylglycerol

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profile in FT-treated and control PO was not different, yet another indication that FT

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pretreatment did not increase oil rancidity or oxidative instability. FT pretreatment on oil seeds

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before cold-pressing is an attractive technique for obtaining high oil yield without deteriorative

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effects on the quality characteristics of edible oil.

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Keywords: Perilla oil, freeze-thaw pretreatment, seeds microstructure, extraction yield, volatile

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compounds, glycerides profile

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2

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1.

Introduction

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Perilla (Perilla frutescens) belongs to the family Labiatae and is an aromatic vegetable that

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is widely used for cooking and medicinal purposes in Asian countries, particularly India, China,

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Japan and Korea (Li, Zhang, Hou, Li, & Chen, 2015; Zhang et al., 2018). Perilla seeds have 39 to

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58% oil content (Zhao, Hong, Lee, Lee, & Kim, 2012), of which 53.6 to 64% of the fatty acids

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are of the omega-3 variety (Yoon, & Noh, 2011). In addition to the high content (76.2%) of

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polyunsaturated fatty acids (Li et al., 2015), other compounds such as vitamin E, sterols,

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flavonoids, and phenolic compounds have been identified in perilla oil (PO) (Lee et al., 2013). It

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has been reported that PO may potentially lower the risk of chronic diseases, prevent abnormal

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clotting, relax blood vessels, reduce inflammation, and has antioxidant and anticancer properties

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(Li et al., 2014).

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It is difficult to extract all of the oil from seeds, particularly by mechanical method, so it

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would be beneficial to develop methods for obtaining high oil yield from perilla seeds while

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maintaining nutritional and quality characteristics (Li et al., 2015). Typically, solvent extraction

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or mechanical pressing is used to obtain oil from oilseeds (Wroniak, Rękas, Siger, & Janowicz,

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2016). Extraction with organic solvents has become less popular as some consumers are

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concerned with the health implications and effects of solvent disposal on the environment

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(Rahman et al., 2019). Mechanically expelled oil may be pressed by cold or hot methods. In the

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former, the cleaned seeds are pressed directly. In the latter, the seeds are mashed and heated to

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100-120°C prior to expelling. Hot pressing leads to greater oil yield but degrades heat-labile

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compounds both in the oil and defatted meal. As a result, cold pressing is more popular in the

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market for high-quality oil. Despite the many advantages of cold-pressing, low oil yield has

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hindered this technique from becoming commercially widespread (Wroniak et al., 2016). 3

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Researchers have studied several pretreatments for improving oil yields such as hot-air

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roasting of the seeds, microwave irradiation and ultrasound-assisted hexane extraction (Jung et

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al., 2012; Zhao et al. 2012; Li et al., 2015). Roasting seeds prior to cold-pressing can increase oil

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yield (Wroniak et al., 2016) but reduce quality and stability as witnessed by greater acidity and

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peroxide values (Bakhshabadi et al., 2017). PO has distinctive volatiles with characteristic odor

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originated from raw seeds or roasting process, and that volatiles in PO are important quality

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attribute affecting consumer acceptance (Park, Seol, Chang, Yoon, & Lee, 2011). In addition,

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thermal pretreatments of oil seeds lead to meal proteins denaturation and oil oxidation, as well as

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changes in fatty acids, sterols, phenolic compounds and tocopherol (Koubaa et al., 2016).

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Freeze-thaw (FT) pretreatment of oil seeds could be a promising technique for improving

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the yield and quality of the oil. Freezing and thawing can cause substantial structural changes in

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plant tissues through the formation of large ice crystals and changes in ionic strength and pH

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caused by freeze-concentration. These results in the disruption of membranes and breakdown of

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high molecular weight molecules (Zhao, Dong, Li, Kong, & Liu, 2015) resulting in increased

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surface hydrophobicity. It has been shown that freeze-thaw pretreatment can enhance the release

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of bound bioactive compounds in corn (Jiao, Li, Chang, & Xiao, 2018). In addition, FT cycling

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is an efficient and inexpensive method that induces the maximum degree of cell membrane

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permeabilization (Meyer & Richter, 2001). Thus, it is reasonable that the softening of tissue from

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FT treatment could help facilitate the release of oil from lipid vacuoles within the cells.

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The objective of this study was to investigate the effect of FT pretreatment on the yield and

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quality characteristics of oil obtained from perilla seeds. The yield was measured after 1-5 FT

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cycles and compared with sample receiving no pretreatment. Oil quality was assessed in a

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variety of ways including oil viscosity, acid value, and peroxide values. In addition, 4

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triacylglycerol and fatty acid profiles were determined along with measurements of volatile

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compounds present in the oils.

91 92

2.

Materials and methods

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2.1. Materials

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Perilla seeds (Perilla frutescens var. Daewoo) were collected from Chungbuk Agricultural

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Research and Extension Service in the Republic of Korea. The perilla seeds were cleaned using

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tap water to remove impurities and dried at 35 °C for 48 h using a laboratory convection dryer.

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The dried seeds (moisture content 2%) were packaged in plastic bags and stored at 4 °C.

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2.2. Reagents

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The reagents including BF3-MeOH, 2-methyl-1-pentanol, divinylbenzene-carboxen-

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polydimethylsiloxane (DVB/Carboxen/ PDMS), anhydrous sodium sulfate, sodium thiosulfate

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and sodium hydroxide were of analytical grade and purchased from Sigma-Aldrich (Sigma-

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Aldrich Corp., St. Louis, MO, USA). The HPLC grade methanol, acetonitrile and

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dichloromethane were purchased from Dae Jung Chemical & Metal Co., Ltd., Shi-heung, South

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Korea.

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2.3. Freeze-thaw cycles

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For the freeze-thaw treatment, 500 g of perilla seeds were placed in LLDPE zipper bags (SC

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Johnson, Seoul, Korea) and frozen at -20 °C for 48 h. Subsequently, 500 mL of distilled water

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was added to the frozen seeds inside the bag and maintained at 4 ± 1 °C inside a refrigerator for

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24 h. The seeds were refrozen and thawed at the same temperatures and times, and the process 5

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repeated for 1, 3, or 5 cycles. After freezing and thawing, the FT-treated seeds were dried at 35

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°C to a moisture content of 2%. Subsequently, the treated seeds were packaged in LLDPE bags

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and stored at 4 °C.

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2.4. Hydraulic pressing of oil

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Prior to pressing, the untreated control and FT-treated perilla seeds were kept in desiccators

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containing P2O5 at room temperature to equilibrate the moisture content. This helped limit

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variation in seed moisture content that might influence the oil yield. After that, 500 g of perilla

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seeds were transferred into the oil expeller (Oil Love Premium, NATIONAL ENG CO., LTD,

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Goyang, South Korea). The resulting PO was centrifuged for 15 min at 9500×g to remove

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gummy layers. The oil in the upper layer was collected into glass containers and stored at -20 °C

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until further analysis. The oil yield was calculated gravimetrically as: Oil yield % = W /W × 100

124 125

(1)

where W1 is the weight of oil obtained and W2 is the total oil content in the perilla seeds.

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2.5. Perilla seed microstructure

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A scanning electron microscope (SEM) (JSM-6701F, Jeol, Japan) was used to investigate

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changes in perilla seeds microstructure before and after FT treatment. Samples were prepared

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following a method modified by Wroniak et al. (2016). The sample was placed on SEM stub

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using double-sided carbon tape and then sputter-coated with gold to make the sample conductive.

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Images were collected using an accelerating voltage of 15 kV and back-scatter mode and

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recorded digitally.

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2.6. Physicochemical properties of perilla oil

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2.6.1. Total oil in perilla seeds

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The total oil content in perilla seeds was determined using AOAC Method 948.22 (2000).

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The lipid was determined gravimetrically after samples were extracted with ether for 16 h in a

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Soxhlet extractor.

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2.6.2. Viscosity

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Viscosity of the PO was measured using a rotational viscometer (DV II +, Brookfield

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Engineering Labs, MA, USA). PO (25 mL) was placed in a 50 mL centrifuge tube and allowed

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to equilibrate to room temperature. Prior to analyses, the viscometer with the SC4-34 cylindrical

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spindle was calibrated using distilled water. The oil viscosity was determined at 20 rpm,

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corresponding to a shear rate of 20.4 s-1.

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2.6.3. Color value

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The color profile of the control and FT-treated PO was determined using a colorimeter

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(Minolta CR–300, Japan) to evaluate L* value (light–dark), a* value (red–green) and b* value

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(yellow–blue). Before analysis, a standard white plate (Y=93.5, X=0.3132, y=0.3198) was used

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for calibration of the machine.

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2.6.4. Acid value and peroxide value

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The acid value (AV) and peroxide value (PV) of control and FT-treated PO were measured

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according to the method adopted by Lee et al. (2019). In short, the AV is the mass of KOH

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required to neutralize 1 g of the oil. PV measures primary oxidation products, namely peroxides 7

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that liberate iodine from potassium iodide. These are determined by titrating with sodium

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thiosulfate in the presence of a starch indicator. AV was calculated by:

160

/

=

×

×

.

(2)

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where V1 is the volume and N1 is the normality of KOH, and m is the sample mass. PV was

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calculated as: !

163

"#/$

=

%& '

×(× )))×*

(3)

164

where V2 and Vo are the volumes of titrated sodium thiosulfate solution for the sample and blank,

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respectively; c is the molar concentration of sodium thiosulfate; and T is the titre of thiosulfate

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solution.

167 168

2.7. Fatty acid composition

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The fatty acid composition of the oil samples was measured using gas chromatography (GC,

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Agilent 7890A, Agilent Co., Palo Alto, CA, USA) equipped with a flame ionization detector

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(FID). Fatty acid methyl esters (FAME) were prepared according to the method of Morrison and

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Smith (1964) by methyl esterification using BF3-MeOH complex as a catalyst. The samples (2–6

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µL) were injected into the GC. The FAMEs were separated using a highly polar, fused-silica

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capillary column (CP-Sil 88; 100 m × 0.25 mm i.d, 0.2-µm film thickness; Agilent Technologies,

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Santa Clara, CA, USA) and 100:1 split injection. The carrier gas helium was used with 300 kPa

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head pressure. The temperatures were 220 and 250°C for the injector and FID detector,

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respectively. The oven temperature was kept at 140 °C for 35 min. After that, the oven was

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heated at 4 °C/min to 230 °C. The different fatty acids in the PO were identified based on their

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retention time and quantified using their relative area percentage as compared to internal

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standard. 8

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2.8. Volatile compounds in PO

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To analysis volatile compounds, PO samples (1 g) with 2-methyl-1-pentanol as an internal

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standard were placed into a vial with a septum cap and heated at 50 ºC for 5 min. After heating, a

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solid-phase microextraction (SPME) fiber (50/30 µm DVB/CAR/PDMS Stableflex, Sigma-

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Aldrich, Saint Louis, MO, USA) was inserted into the vial cap to absorb volatile compounds in

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the head space at the same temperature for 5 min. The absorbed volatile compounds were

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immediately analyzed using gas chromatography-mass spectrometer (GC-MS) (Shimadzu,

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Tokyo, Japan) equipped with a DB-WAX capillary column (30 m × 0.25 mm i.d. × 0.25 µm film

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thickness, Agilent J&W, Santa Clara, CA, USA) with split ratios of 1:10. Helium was used as the

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carrier gas at 1 mL/min. The injector temperature was set to 250 ºC, the oven temperature

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program was initiated at 40 ºC for 3 min, increased at a rate of 5 ºC/min to 90 ºC, increased at a

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rate of 19 ºC/min to 230 ºC, and held for 5 min. The GC column effluent was detected using a

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Shimadzu GCMS-TQ 8030 MS with an electron ionization source (70 eV). The ion source and

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interface temperatures were 230 ºC and 250 ºC, respectively. Data monitoring was performed in

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the full scan mode (m/z 45-550). The scan event time and velocity were 0.3 sec and 2000

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amu/sec, respectively. The volatiles was identified using retention indices (RIs, calculated using

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a series of n-alkanes) and fragmentation spectra from GC-MS databases (NIST 11 and Wiley 9

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mass spectral libraries). The normalized relative intensities were calculated on the basis of peak-

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area ratios.

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2.9. Glyceride profile The composition of mon-, di- and tri-glycerides was analyzed via ultra-performance liquid 9

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chromatography/quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF MS) (Waters,

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Milford, MA, USA). The oil sample (0.5 g) was treated by mixing with 20 mL of chloroform:

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methanol (2:1) and sonicated for 10 min. The diluted sample was transferred to the sample vials

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for UPLC-Q-TOF MS analysis, then 1 µL injected onto the column. The different glycerides

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were separated on an ACQUITY UPLC BEH C18 column (2.1 × 50 mm, 1.7 µm, Waters, USA).

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The mobile phase consisted of solvent A (0.1% formic acid water) and solvent B (acetonitrile

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containing 0.1% formic acid), with a flow rate of 0.4 mL/min at a temperature of 40 °C for 10

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min. The components eluted were detected by a Xevo® G2–S Q–TOF MS in positive–ion mode.

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The temperatures were 130 and 450 °C for the source and desolvation respectively, and the

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voltages were set to 2000, 42, and 4 V for the capillary, sampling cone, and extraction cone,

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respectively. The cone and desolvation gas flow rate were 10 and 900 L/h respectively, and the

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collision energy was raised from 15 to 55 eV with a scan range of 50–1500 m/z.

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2.10. Statistical analysis

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All experiments were replicated three times and the data are presented as mean ± standard

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deviation (n=3). The data for oil yield, and physicochemical properties and relative abundances

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of the compounds were analyzed by analysis of variance (ANOVA) using SAS 9.4 statistical

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software package (SAS Institute Inc, Cary, NC, USA). The Duncan test was used for the analysis

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of significant differences (p < 0.05).

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The processed GC-MS data were analyzed by multivariate statistics using SIMCA-P+

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version 12.0.1 (Umetrics, Umeå, Sweden). For visualization of the analyzed data, partial least

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squares discriminant analysis (PLS-DA) was used. The three parameters of R2X, R2Y, and Q2Y

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were used to evaluate the quality of PLS-DA models, validated by permutation tests. The relative 10

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abundances of the compounds were statistically analyzed using one-way analysis of variance

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(ANOVA) with Duncan's test (p <0.05) by SPSS 17.0 (SPSS Inc., Chicago, IL).

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3. Results and discussion

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3.1. Oil yield

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The total oil content of perilla seeds used in this study was 43.70 g/100 g. Oil yields from

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untreated control and FT-treated perilla seeds are presented in Table 1. The oil yield substantially

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increased with each FT-cycle, ranging from 33.11% with no treatment up to 78.71% after 5- FT

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cycles, the latter of which was 2.5-times higher than the yield from untreated perilla seeds. It has

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been reported that FT treatment of plant tissues ruptures the cell membranes and cell walls

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(Phothiset & Charoenrein, 2014), allowing oil to be more easily released from vacuoles and

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travel through the loosed plant tissue. Baby and Ranganathan (2016) reported that higher oil

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yield could be directly related to the level of cell rupture. Zhao, Baik, Choi, & Kim (2014)

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reported on a variety of methods for improving extraction of bioactive compounds from plant-

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based materials such as high-pressure processing, pulsed electric fields or FT cycling. They

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discussed how large ice crystals may compress membranes. In addition, freezing rate determines

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ice crystal size, the extent of formation of intra- and extra-cellular ice crystals, and the degree to

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which solutes are concentrated causing desiccation of cells. Jiao et al. (2018) found that freezing

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temperature and consequently the freezing rate influenced the extraction efficiency of lutein and

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zeaxanthin from corn. Greatest efficiency was attained at the slowest freezing rate, which was

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also associated with the development of the largest ice crystals.

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A few studies have examined the use of pretreatments for improving the yield of oil from

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perilla seeds. Jung et al. (2012) found yields of 31.74, 39.56, and 41.76 g/100 g seeds for 11

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samples extracted by mechanical pressing after roasting, supercritical-CO2 extraction, and

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hexane-solvent extraction, respectively. Zhao et al. (2012) reported that PO yield from unroasted

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seeds was 38.4 g/100 g seeds, increasing to as high as 44 g/100 g if the seeds were extensively

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roasted prior to expelling. Wroniak et al. (2016) found that heat pretreatments such as roasting

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oil seeds by convection oven or microwave irradiation are an effective means of increasing oil

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yield. However, thermal treatments were shown to decrease oil quality as they create trans fatty

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acids and certain tocopherols, and lead to more phosphorus in the oil (Zhao et al., 2012). It has

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also been shown that heating changes compounds such as fatty acids, sterols, phenolics,

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tocopherol, and meal proteins, and decreases the oxidative stability of oil (Koubaa et al., 2016;

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Bakhshabadi et al., 2017). Thus, non-thermal pretreatments such as FT cycling of perilla seeds

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may be an attractive method for providing high yield while maintaining oil quality.

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3.2. Seed microstructure

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The microstructure of FT-treated and untreated perilla seeds was investigated using scanning

264

electron microscopy (Fig. 1). A uniform spheroidal particle with an intact fibrous testa was

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observed for untreated control perilla seeds (Fig. 1A). In contrast, the perilla seeds subjected to

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FT had damaged seed coats, showing signs of splitting at the seams and exposing the inner

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cotyledon, hypocotyl and radicle. The degree of testa separation increased with the number of FT

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cycles. The inner seed portions also showed greater signs of splitting and fracturing after FT,

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particularly after 5 FT cycles (Fig. 1D). This fracturing would expose more of the inner regions

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of the seed, making it easier for oil to be transported to the surface when the seed was subject to

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mechanical forces. Indeed, after 5 FT-cycles the surface of the endosperm took on an oily

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appearance. At the cellular level, it is known that freeze-thaw cycling can disrupt cell walls, cell 12

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membranes, lead to changes in cell size and cause rupture of the cells themselves (Phothiset &

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Charoenrein, 2014). A similar report has been demonstrated in the microstructure of FT

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pretreated corn (Jiao et al., 2018). They also reported that FT treatments convert polysaccharides

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and glycoproteins present in the cell wall into shorter fragments, making them easier to rupture.

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3.3. Physicochemical properties of perilla oil

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Physicochemical properties including color, viscosity, AV, and PV of the POs are presented

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in Table 2. The oils obtained from FT-treated and untreated perilla seeds were golden yellow in

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color with similar viscosity (96.5 mPa s). This is one indication that the oil was not degraded by

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the FT process, likely because the seeds were not subject to high temperature at any time. Min

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and Jeong (1993) reported that viscosity of PO decreased with increasing roasting temperatures

284

when roasting was used to process perilla seeds. Similar observation on the effects of heat and

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PO viscosity has been reported by Zhao et al. (2012). In our processing, the perilla seeds or oil

286

were never exposed to greater than ~25°C.

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Likewise, no significant differences were found in the color values L*, a* or b* amongst the

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oils extracted from the control and FT pretreated perilla seeds. Park et al. (2011) reported that

289

color changes occur in the PO due to chemical reactions including Maillard browning and

290

caramelization, and these reactions are more likely when perilla seeds are subjected to thermal

291

treatment. It was also reported that PO color gradually changed from light yellow to deep brown

292

with greater seed roasting time and temperature (Zhao et al., 2012) because of increased

293

browning byproducts and degradation of phospholipids in the oil (Anjum, Anwar, Jamil, & Iqbal,

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2006).

295

The acid value (AV) and peroxide value (PV) are other important parameters for assessing 13

296

the quality of edible oils. High AV values are an indication of the hydrolytic rancidity of oil and

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oil products (Cao, Ruan, Chen, Hong, & Cai, 2017). Free fatty acids arise from the breakdown of

298

triglycerides, catalyzed by inherent lipase enzymes. Peroxide values (PV) show the level of

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primary autoxidation of double bonds in edible oils (Cao et al., 2017). As shown in Table 2,

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there were no significant effects of FT-cycles on either AVs or PVs. AVs were 0.54 mg KOH/g,

301

while PVs were 1.34-1.35 meq/kg. These are relatively low values, although specific critical

302

values depend on the commodity and industry. For example, common industry standards for

303

almonds are AV<1.5 mg KOH/g and PV<5.0 meq/kg (Almond Board of California, 2014). The

304

facts that were no differences in AVs or PVs amongst the treatment groups again suggest that the

305

relatively low-temperature conditions of the process limited oxidative changes.

306 307

3.4. Fatty acid composition

308

Some pretreatments of oil seeds may lead to changes in fatty acid composition of the oil due

309

to the sensitivity of polyunsaturated fatty acids (Koubaa et al. 2016). For that reason, fatty acid

310

composition of the FT-treated PO was measured (Table 3). The major unsaturated fatty acids

311

were identified as linolenic acid (C18:3, ω−3), linoleic acid (C18:2, ω−6), and oleic acid (C18:1,

312

ω−9), with concentrations of ∼60%, ∼13%, and ∼16%, respectively. Similar results were

313

reported by Zhao et al. (2012) and Yoon and Noh (2011), who found that PO had 53.6 to 65%

314

omega-3 fatty acids.

315

No significant differences were found between the fatty acid composition of the control and

316

FT-treated POs. Again, this can be related to the relatively low temperature processing of the PO.

317

In contrast, several researchers (Anjum et al., 2006; Uquiche, Jeréz, & Ortíz, 2008; Wroniak et

318

al., 2016) have shown that polyunsaturated fatty acids in vegetable oils are reduced, and trans 14

319

fatty acids increased, after microwave or convection oven pretreatments. Moreover, oils

320

containing greater polyunsaturated fatty acids are more susceptible to oxidation during thermal

321

processing and storage (Sayyad et al., 2017), thus low temperature treatments such as FT may

322

not influence oxidative deterioration of oil.

323 324

3.5. Volatile compounds

325

A total of 17 volatile compounds were detected as major flavor compounds of PO by GC-

326

MS analysis. Among these volatiles, the 13 compounds were identified (Table 4). The major

327

volatile compounds identified in control and FT-treated PO were 1-(furan-2-yl)-4-methylpentan-

328

1-one, 3-(4-methyl-3-pentenyl)-furan, 3-methyl-butanal, 2,4-dimethylheptane, 2-methylbutanal,

329

2,3-dimethylpentanal,

330

methylpentan-1-one and 3-(4-methyl-3-pentenyl)-furan were the most abundant in both of the oil

331

samples. The normalized intensities of the identified compounds were statistically analyzed and

332

it was found that six compounds (2-methyl-2-butane, 2,4-dimethylheptane, 3-methylbutanal,

333

hexanal, 2-methyl-2-heptanol, 1-penten-3-ol) were significantly reduced by FT pretreatment. The

334

actual reasons for these differences are unclear. It might be expected that the damaged cellular

335

components of FT-treated perilla seeds led to the release of bound compounds. As a result, some

336

of the volatiles could be released from FT-treated seeds prior to pressing, thus the concentrations

337

of that volatiles were reduced or absent in FT-treated PO. By contrast, the tight seed coat for the

338

control sample fractured during pressing leading to the release of volatiles, which could be

339

transferred to the extracted oil. It was reported that FT pretreatment facilitated the release of

340

bound bioactive components from corn (Jiao et al. 2018).

trans,trans-2,4-heptadienal.

15

Among

volatiles,

1-(furan-2-yl)-4-

341

The types of volatile compounds and their intensities in PO may vary with perilla seed

342

species, pretreatments and extraction processes and their parameters (Liu, Wan, Zhao, & Chen

343

2013). Similar volatile compounds including 2,4-heptadienal, hexanal, butanone, and furan were

344

detected by Kim, Yoon and Rhee (2000) in untreated PO. However, the volatile components of

345

oil that have been subject to high temperatures are often quite different. Park et al. (2011)

346

reported that pyrazine (2,5-dimethylpyrazine) and 2-furancarboxaldehyde were two major

347

volatiles in PO from roasted seeds. Kim, Yoon and Rhee (2000) and Lee, Lee, Sung and Shin

348

(2015) reported that pyrazines and ketones are the most dominant volatile compounds in PO

349

obtained from roasted perilla seeds, and those volatiles were not detected in that of the unroasted

350

control PO. In our analyses, we did not find evidence of pyrazine or ketone-based volatile

351

compounds.

352 353

3.6. Acylglycerol profile

354

The profiles of acylglycerol composition of fats and oils can be changed by various factors,

355

including esterification and lipase activity during processing and storage, and the changes of the

356

profiles are directly associated with the quality of fats and oils. In particular, free fatty acids

357

produced by the decomposition of the acylglycerols can be easily oxidized compared to intact

358

acylglycerols and accumulation of the oxidized fatty acids are the main factors of fat and oil

359

rancidity (Gao, Wu, & Feng, 2019; Cao et al., 2017). Changes in the acylglycerol composition

360

may be evidence of decomposition, interesterification or lipase activity.

361 362

Acylglycerol composition of the PO used in this study was determined by UPLC-Q-TOF-

363

MS analysis. The chromatographic peaks of the control and FT-treated PO are shown in Fig. 2. 16

364

A total of 16 fragments were identified for mono-, di- and tri-acylglycerols in each oil sample.

365

The mass spectrum of the PO showed that PO was mainly composed of triacylglycerols (TGs).

366

The TG profiles were detected from mass-to-charge (m/z) 868 to 931, while m/z of the

367

monoacylglycerol (MGs) were 360 and 425, the diacylglycerol (DGs) were m/z 554, 628, and

368

702. However, there was no difference between acylglycerol profiles of control PO and FT-

369

treated PO except DG profile. Although the DGs (m/z 554 and 628) were only detected from

370

control PO, DG intensities were too lower than those of the TGs to affect the quality of the PO.

371

These results supported the AV and PV were not affected by the FT pretreatment. This also may

372

be attributed to the low-temperature processing that limits any substantial chemical changes in

373

the PO (Koubaa et al., 2016). It was reported that hydrolysis process in oil converts

374

triacylglycerols to monoacylglycerols, diacylglycerols, and free fatty acids (Cao et al. 2017), and

375

the conversion is hastened by higher temperature, water activity, and longer storage, resulting in

376

increased AV (Son et al., 2019). However, the FT pretreatment on perilla seeds had no effect on

377

the degradation of TGs.

378 379

3.

Conclusions

380

Cold pressing is a popular technique for high-quality edible oil. But, it gives low oil

381

recovery from oil seeds and further treatment is needed to extract residual oil using hot pressing

382

or solvent extraction which deteriorates oil quality. The FT pretreatment used in this study gave

383

about 2.5-times higher oil yield than that of the untreated control. The greater yield by FT

384

pretreatment was realized without causing significant changes in the chemical constituents and

385

physicochemical characteristics of the oil. When comparing oils from untreated and FT-treated

386

perilla seeds, there were no differences in acid values, primary oxidation products, oil viscosity, 17

387

fatty acid profiles, and glyceride composition. In addition, FT pretreatment did not influence on

388

increasing odor characteristic volatiles in the extracted oil, which may be an important

389

characteristic for consumer acceptance. Thus, FT pretreatment of perilla seeds could be

390

considered an attractive treatment for high yield with better quality oil that could be desirable for

391

oil industries.

392 393

Conflict of interest

394

There are no conflicts of interest to declare.

395 396

Acknowledgements

397

This study was carried out with the support of "Cooperative Research Program for

398

Agriculture Science & Technology Development (Project No. PJ0125012018)" Rural

399

Development Administration, Republic of Korea.

400 401

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22

489

Figure captions

490 491 492

Fig. 1. Perilla seeds microstructure as affected by freeze-thaw (FT) pretreatment. (A) Control; (B), (C), and (D), 1-, 3-, and 5-times FT-treated seeds microstructure, respectively.

493 494 495

Fig. 2. Triacylglycerol profile in control (a) and freeze-thaw-pretreated (b) perilla oil analyzed by UPLC-Q-TOF MS. A; monoacylglycerols, B; diacylglycerols, C; triacylglycerols (TG).

23

Table 1 Oil yield from perilla seeds with and without pretreatment by freeze-thaw cycles Freeze-thaw cycles

Oil yield (%)

0

33.11±0.09d

1 60.01±0.11c 3 75.11±0.09b 5 78.71±0.04a All values are mean ± SD (n=3). Values not followed by the same superscript letter within a column are significantly different (p < 0.05) by Duncan’s test.

Table 2 Physicochemical properties of control and freeze-thaw treated perilla oil Color

Freeze-

Viscosity

Acid value

Peroxide value

thaw cycles

(mPa s)

L*

a*

b*

(mg KOH/g)

(meq/kg)

0

96.55±0.00a

48.21±0.01a

-1.45±0.01a

4.57±0.04a

0.54±0.01a

1.35±0.01a

1

96.55±0.00a

48.20±0.01a

-1.43±0.02a

4.60±0.01a

0.54±0.00a

1.34±0.00a

3

96.55±0.00a

48.21±0.01a

-1.45±0.01a

4.61±0.00a

0.54±0.00a

1.34±0.00a

5

96.54±0.01a

48.22±0.00a

-1.45±0.01a

4.61±0.00a

0.54±0.00a

1.34±0.00a

All values are mean ± standard deviation (n=3); Different letters in a column indicate significant differences (p < 0.05). L* = Lightness; a* = Redness; b* =Yellowness

Table 3 Fatty acid composition of control and freeze-thaw treated perilla oils Fatty acid composition (%)

Freeze-thaw cycles

C16:0

C18:0

C18:1

C18:2

C18:3

0

5.66±0.04a

2.41±0.10a

16.00±0.00a

13.20±0.01a

60.01±0.01a

1

5.67±0.04a

2.42±0.08a

15.99±0.01a

13.18±0.03a

59.91±0.10a

3

5.69±0.01a

2.41±0.10a

16.02±0.03a

13.16±0.04a

59.94±0.07a

5

5.69±0.00a

2.43±0.07a

16.03±0.03a

13.17±0.03a

59.96±0.04a

All values are mean ± SD (n=10). Different letters superscript within the same column that means are significantly different (p < 0.05) by Duncan’s test.

Table 4 Volatile compounds in control and FT-treated perilla oil analyzed using GC-MS RT1 (min)

Volatile Compounds

1.47

2-methyl-2-butane

2.05 2.18 3.11 3.16 3.75 6.54 7.36 8.81 10.20 14.15 14.88 15.23 15.83 16.46 16.51 18.92

2,3-dimethylpentanal 2,4-dimethylheptane 2-methylbutanal 3-methyl-butanal unknown 1 hexanal 2-methyl-2-heptanol 1-penten-3-ol unknown 2 unknown 3 3-hexan-1-ol 3-(4-methyl-3-pentenyl)-furan trans,trans -2,4-heptadienal 2,5-dihydroxybenzaldehyde unknown 4 1-(furan-2-yl)-4-methylpentan-1-one

Normalized Relative intensity Control FT-treated PO

p-value2

Identified2

Similarity

8.26±0.00a

0.00±0.00b

0.013

RI, MS

97

a

a

0.834

RI, MS

86

b

0.028

RI, MS

92

a

0.139

RI, MS

86

1.64±0.16

b

0.032

RI, MS

84

1.41±0.00

b

0.003

-

-

0.00±0.00

b

0.003

RI, MS

93

0.00±0.00

b

0.005

RI, MS

82

0.00±0.00

b

0.0001

RI, MS

98

1.70±0.00

b

0.019

-

-

1.20±0.00

b

0.008

-

-

0.00±0.00

a

0.069

RI, MS

94

3.19±0.22

a

0.200

RI, MS

93

1.42±0.37

a

0.846

RI, MS

91

0.86±0.01

a

0.064

RI, MS

76

b

0.0001

-

-

2.11±0.00

2.53±0.75

a

2.22±0.22

a

3.67±1.00

a

3.40±0.00

a

1.57±0.43

a

0.92±0.12

a

1.87±0.24

a

3.60±0.00

a

1.91±0.00

a

0.29±0.31

a

4.18±0.08

a

1.44±1.33

a

1.70±0.88

a

2.06±0.00

a

20.77±0.37

a

1.94±0.18 0.00±0.00

1.29±1.14

1.26±0.00

18.24±2.27

a

0.321

RI, MS 1

95 2

All values are mean ± standard deviation (n=3); Different superscript letters in a row indicate significant differences (p < 0.05). RT retention time, p-values were analyzed by t test, 2The volatiles were identified by standards of mass spectrum (MS) and/or retention indices (RI) values, FT=freeze-thaw.

Fig. 1.

Fig. 2 (a)

(b)

Highlights •

Freeze-thaw (FT) pretreatment on perilla seeds led to ruptured cellular structure.



FT treatment resulted in about 2.5-times higher oil yield (78.71%) than control sample.



Physicochemical properties and fatty acid profile in oil was not affected by FT treatment.



The volatile compounds were slightly reduced in FT-treated perilla oil.



Glyceride profiles in FT-treated oil were not changed by FT pretreatment.