Journal of Oleo Science Copyright ©2018 by Japan Oil Chemists’ Society doi : 10.5650/jos.ess17108 J. Oleo Sci. 67, (2) 151-165 (2018)
Ultrasonic-assisted Aqueous Extraction and Physicochemical Characterization of Oil from Clanis bilineata Mingmei Sun, Xiao Xu, Qiuqin Zhang, XinRui, Junjun Wu and Mingsheng Dong* College of Food Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu 210095, PR CHINA
Abstract: Ultrasound-assisted aqueous extraction (UAAE) was used to extract oil from Clanis bilineata (CB), a traditional edible insect that can be reared on a large scale in China, and the physicochemical property and antioxidant capacity of the UAAE-derived oil (UAAEO) were investigated for the first time. UAAE conditions of CB oil was optimized using response surface methodology (RSM) and the highest oil yield (19.47%) was obtained under optimal conditions for ultrasonic power, extraction temperature, extraction time, and ultrasonic interval time at 400 W, 40℃, 50 min, and 2 s, respectively. Compared with Soxhlet extraction-derived oil (SEO), UAAEO had lower acid (AV), peroxide (PV) and p-anisidine values (PAV) as well as higher polyunsaturated fatty acids contents and thermal stability. Furthermore, UAAEO showed stronger antioxidant activities than those of SEO, according to DPPH radical scavenging and β-carotene bleaching tests. Therefore, UAAE is a promising process for the large-scale production of CB oil and CB has a developing potential as functional oil resource.
Key words: Clanis bilineata oil, ultrasonic-assisted aqueous extraction, fat acid composition, thermal stability, antioxidant activity
1 Introduction 23.68%( w/w)and relatively high in the unsaturated fatty Clanis bilineata(Walker), belonging to the family acids(64.17%)2). The results indicate that CB larvae serve Sphingidae(Lepidoptera), is a major agricultural pest as potential sources of oil for food and medicine. usually causing considerable damage to soybean produc- There are many methods for oil extraction from vegeta- tion in China. Interestingly, it is also regarded as an impor- ble and animal sources, such as conventional non-polar tant economic insect because its larvae contain a large per- solvent or aqueous extraction, Supercritical CO2 extraction, centage of protein and oil. In fact, the larvae of C. cold and hot pressing3-6). The use of different extraction bilineata(CB), also known as Dou-Dan, have been con- methods results in different yields7)and in different lipid sumed for centuries as a high-protein food and edible oil. profiles8). Because of safety, quality, and environmental As early as 300 years ago,“ Nong Sang Ji”, an agricultural issues, aqueous extractions are industrially applied to treatise written by famous litterateur Pu Song Ling in 1705, extract animal fat and vegetable oils9). However, one major recorded the extraction method of oil from CB larvae. Re- disadvantage associated with aqueous process is relatively cently, C. bilineata can be raised by artificial way on a Abbreviations: BHT, butyl-hydroxytoluene; DPPH, large- scale in different regions of China such as Jiangsu, 1,1-diphenyl-2-picrylhydrazyl; RE-HPLC, reversed-phase high Anhui, Henan, Sandong and Gangdong provinces1), thereby performance liquid chromatography; UAE, ultrasound-assisted opening interesting possibilities with alimentary and indus- extraction; UAAE, ultrasound-assisted aqueous extraction; trial purposes. However, previous studies of C. bilineata UAAEO, ultrasound-assisted aqueous extraction-derived oil; have mainly focuses on its reproductive biology, protein SE, Soxhlet extraction; SEO, Soxhlet extraction-derived oil; CB, Clanis bilineata; RSM, response surface methodology; AV, contents and cooking methods. To date, Very few studies acid values; PV, peroxide values; PAV, p-anisidine values; have been carried out on the extraction, chemical composi- SAFA, saturated fatty acids; MUFA, monounsaturated fatty tion and physiochemical properties of C. bilineata oil. Wu acids; PUFA, polyunsaturated fatty acids; OCFA, odd carbon et al reported that the lipid content of CB larvae was fatty acid.
*Correspondence to: Mingsheng Dong, College of Food Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu 210095, PR CHINA E-mail: [email protected] Accepted September 15, 2017 (received for review May 5, 2017) Journal of Oleo Science ISSN 1345-8957 print / ISSN 1347-3352 online http://www.jstage.jst.go.jp/browse/jos/ http://mc.manusriptcentral.com/jjocs
151 M. Sun, X. Xu, Q. Zhang et al.
low efficiency10). Ultrasonic treatment could be used to surements, calculated as shown in the Eq.15) enhance extraction yields and shorten extraction time by dT 11-13) P=m. C * mass transfer, heating and cavitation effect . Alterna- p dt tives to conventional non-polar solvent extraction, ultra- where Cp is the heat capacity of the solvent at constant sound-assisted processing using as“ green and innovative pressure(J g-1 k-1), dT/dt is temperature rise according to technique”14)may also contribute to environmental preser- time and m is the mass of solvent(g). The generator has an vation and increase production efficiency by reducing the output power of 650 W, while the power consumed in the use of solvents, elimination of wastewater, generation of medium was about 600 W. hazardous substances and energy14-16). Ultrasonic-assist Frozen CB larvae(75% water content)of 50g was mixed extraction(UAE)has been widely used to extract bioactive with 300 mL of demineralized water(solid/liquid ratio=1:6, compounds and oil from plant sources17, 18). However, there w/v)and blended for a 5 min. After ultrasonic treatment, is no information on the ultrasound-assist aqueous extract the mixture was boiled for 15 min. The obtained suspen- of oil from edible insects in the literature. sion was sieved through a stainless steel filter sieve with a In the present work, the UAAE of oil from CB larvae was pore size of 300 μm. Then, the sieved suspension was cen- investigated. Subsequently, the physicochemical proper- trifuged at 12,000g for 30 min at 4℃ and the anhydrous oil ties, fatty acid compositions and antioxidant activities of fraction was acquired. Subsequently, the CB oil was trans- the obtained oil were evaluated and compared with that of ferred to glass vial and stored under nitrogen atmosphere the organic solvent-extracted oil. Meanwhile, the perfor- at -20℃ for further analysis. Oil yield was determined per mances of UAAEO and SEO were compared in terms of CB larvae sample(100g)on a dry-weight basis using the fol- processing time, energy consumption, and quantity of lowing equation: solvent. To the best of our knowledge, this innovative insect oil extraction process and antioxidant activity of CB Oil yield(%)=( weight of extracted oil/weight of CB oil has not been reported. larvae)× 100%
The flow chart of UAAE from CB oil was shown in Fig. 1. 2.2.2 Single factor experiment design 2 Materials and methods The effect of ultrasonic power levels on CB oil yield was 2.1 Chemicals Butyl-hydroxytoluene(BHT), 1,1-diphenyl-2-picrylhy- drazyl(DPPH), β-carotene, linoleic acid were purchased from Sigma-Aldrich. Other analytical or RE-HPLC grade reagents purchased from Shanghai, China.
2.2 Oil extraction from CB larvae The frozen CB larvae were obtained from the commercial supplier(Xinpu, Jiangsu Provice, China). The larvae were freeze-dried until arriving at stable weight and its moisture content was determined. Subsequently, the freeze-dried CB larvae were milled into power and stored at -20℃ for subsequent operations. 2.2.1 Extraction of CB larvae oil using ultrasound-assisted aqueous extraction(UAAE) UAAE was performed in a BILON-650CT multi-purpose constant temperature ultrasonic extraction system(Shang- hai, China)with 20×20 cm internal dimensions and maximal capacity of 5 L, equipped with one powerful ultra- sonic transducer(20 kHz, 650 W)and a versatile power meter which can change all important parameters during ultrasonic processing. The double-layered reaction tank allowed water to circulate using a heating/cooling system to control the temperature in the medium. Taking into account that the actual input power is converted to heat dissipated in the medium. Therefore, in this study, actual ultrasonic power was measured using calorimetric mea- Fig. 1 The flow chart of UAAE from CB oil. 152 J. Oleo Sci. 67, (2) 151-165 (2018) Clanis bilineata
detected at 300, 350, 400, 450, 500, and 550 W and an ex- Table 1 The levels of variables employed in the present traction time of 15 min, an extraction temperature of 30℃ study for the construction of Box-Behnken and ultrasonic interval time 2s. The effect of extraction design(BBD). temperature on oil yield was studied at 20, 30, 40, 50, and Levels 60℃ and ultrasonic interval time 2s, an extraction time of Variables 15 min, and an ultrasonic power of 400 W. A range of ex- -1 0 +1
traction time(30, 40, 50, 60, and 70 min)was investigated Extraction temperature X1, 30 40 50 at 40℃ and ultrasonic interval time 2s using ultrasonic Extraction time X2, min 40 50 60 power 400 W. Finally, the effect of ultrasonic interval time Ultrasonic power X , W 200 400 600 on oil yield was determined at 0.5, 1, 1.5, 2, 2.5 and 3s and 3 an ultrasonic power of 400 W, an extraction temperature of Ultrasonic Interval timeX4, s 1 2 3 40℃, and an extraction time of 50 min. 2.2.3 Box-Behnken experimental design(BBD)for UAAE values of CB oils by UAAE and SE were determined by Box-Behnken experimental design which is popular in AOCS Standard Methods20). Peroxide values(PV)and p-an- food processes due to its economical design applies three isidine values(PAV)were measured as indexes for the oxi- levels(-1, 0, +1)for each factor19). The design includes a dative stability of CB oil using IUPAC methods21). specific subset of the factorial combinations from the 3k factorial design19). Four factors were selected as indepen- 2.5 Determination of antioxidant activity dent variables, while oil yield was defined as the dependent The 1, 1-diphenyl-2-picrylhydrazyl(DPPH)radical-scav- variable(Table 1). The range of the values of each factor enging assay, and β-carotene bleaching test were used for was determined according to the results of single factor analysis of antioxidant activity. All the data were the aver- experiments. The experimental design of UAAE based on ages of triplicate determinations of three independent the preliminary single-factor tests was shown in(Table 2). tests. Scavenging activities of CB oils toward DPPH radicals The responses were analyzed using Design Expert soft- were detected as described by Long et al.22). β-carotene/ ware. linoleic acid bleaching test of CB oil was investigated ac- 2.2.4 Extraction of CB oil by Soxhlet extraction(SE) cording to the pervious method reported by Zhang et al.23).
The freeze-dried CB larvae powder(10 g)was continu- Antioxidant activities of CB oils were reported as IC50 ously extracted with 120 mL petroleum ether as a solvent values, which were calculated using logarithmic regression for 6 h in a Soxhlet apparatus(SZF-06B, Shanghai, China). curves for DPPH radical scavenging or β-Carotene bleach- After extraction was completed, petroleum ether was ing inhibition percentage(%)versus the concentration of removed at 40℃ under reduced pressure using a rotary tested oils. evaporator(2034c-02, Louisiana, USA)and temperature is further increased up to 60℃ until no presence of solvent. 2.6 Thermal stability The oil obtained was weighed and the yield was calculated. The thermal stability of CB oil was detected by thermo- Determination was done in triplicate. gravimetric analysis(TGA)using a NETZSCH STA 449C (NETZSCH Instruments, Germany). About 5-6 mg of CB 2.3 Determination of fatty acid(FA)composition oil was weighed in solid fat index(SFI)aluminium oxide The FA composition of the oil extract from CB larvae crucible; an empty pan was used as a reference. The refer- was analyzed as fatty acid methyl esters prepared by sa- ence and sample pans were placed in the calorimeter. Ni- ponification and methyl esterification in accordance with trogen was used as an inert gas to purge at 40ml/min at ISO5509:2000(E). The profile of FA composition was per- 10℃/min. From room temperature to 700℃, the decompo- formed by means of gas chromatography with flame ioniza- sition temperatures and weight of the CB oil samples were tion detector(GC-FID)( GC, Agilent 7890A, Agilent Tech- recorded. nologies, DE, USA)using SPTM – 2560 capillary column (100 m×0.25 mm×0.2 μm thickness, Supelco, Beelefonte, 2.7 Statistical analysis PA, USA). The details carried out were as follows: inlet All statistical analyses in this study were done by SPSS temperature:250℃; carrier Gas and flow Rate: helium at 20 PASW statistical software(version 18.0). One way ANOVA cm/s; make-up gas and flow rate: nitrogen at 30 mL/min; was performed to detect for significant differences column temperature profile: hold at 100℃ for five minutes, between the extraction methods, followed by pos-hoc LSD ramp to 240℃ at 4℃/min, hold at 240℃ for 30 min; sample test and Duncan test. By analysis of ANOVA, all data were concentration and solvent: 1.00uL. expressed as mean±standard deviation. Further, the means were analyzed using Origin Pro 8. Throughout the 2.4 Physicochemical characterization study, a significance level of p<0.05 was considered to be The density, acid values(AV), saponification, and iodine statistically significant.
153 J. Oleo Sci. 67, (2) 151-165 (2018) M. Sun, X. Xu, Q. Zhang et al.
Table 2 Possible combinations of UAAE parameters based on the each parameter were obtained from Box-Behnken design. The oil yield/ freeze-dried insect powder(% w/w)was made as the oil yield. Yield of oil (%) No X1 X2 X3 X4 Experimental Predicted 1 40 40 200 2 9.56 9.90 2 30 50 600 2 7.28 7.91 3 50 50 400 1 9.32 10.01 4 40 50 200 3 10.42 10.50 5 40 40 400 3 14.67 14.91 6 40 50 400 2 18.47 18.62 7 50 50 600 2 9.16 8.27 8 50 40 400 2 9.89 9.77 9 30 50 400 3 10.56 10.25 10 30 50 200 2 6.58 6.98 11 30 60 400 2 10.78 10.99 12 40 50 200 1 11.63 12.03 13 40 50 400 2 17.89 18.62 14 40 60 400 1 16.62 15.89 15 40 50 400 2 18.89 18.62 16 40 50 600 1 13.89 13.90 17 50 50 200 2 5.39 4.27 18 40 60 200 2 12.17 12.06 19 50 50 400 3 9.88 10.45 20 40 50 400 2 18.39 18.62 21 40 60 600 2 12.36 12.41 22 40 40 400 1 17.58 17.38 23 40 40 600 2 13.98 14.48 24 40 60 400 3 16.78 16.50 25 40 50 400 2 19.47 18.62 26 50 60 400 2 9.26 10.11 27 30 40 400 2 11.99 11.23 28 40 50 600 3 13.87 13.56 29 30 50 400 1 12.74 12.56
3 Results and discussion with findings obtained with perilla oil26). In addition, at ul- 3.1 Effect of independent variables on CB oil yield trasonic power level higher 400 W, oil color deepened, Effect of ultrasonic power on CB oil yield was shown in which indicate a decrease in oil quality. Moreover, the Fig. 2A. The oil yield increased with increasing ultrasonic bubbles created by cavitation effect were collapsed and the power up to 400 W. At ultrasonic power levels higher 400 cavitation effect was destroyed when ultrasonic power was W, the oil yield decreased. The first effect may be attribut- too large. Therefore, the optimal UAAE power was 400W. ed to the fact that many bubbles created by ultrasonic sig- As shown in Fig. 2B, the oil yield increased with increas- nificantly and a fragmentation of the matrix occurred in ul- ing extraction temperatures up to 40℃. It is likely that trasound process accelerate the release of components temperature accelerated cycling substance27). However, from cells into the distilled water and the penetration of when the temperature exceeded 40℃, the oil yield showed distilled water into cells5, 24, 25). This result was consistent a decreasing trend. At temperatures higher than 40℃,
154 J. Oleo Sci. 67, (2) 151-165 (2018) Clanis bilineata
(A) (B)
(C) (D)
Fig. 2 The effect ofultrasonic power(A), extraction temperature(B), extraction time(C)and ultrasonic interval time(D)on the yield of CBoil. Data are shown as mean±SD(n=3). some thermal labile constituents will decompose and impu- stroyed when the time was too long. The rate of oil extrac- rities dissolution will accelerate28). And the oil was wrapped tion decreased. Therefore, the 50 min was chosen for by denatured protein when the temperature was too high. subsequent treatment optimization. At this point the oil was more difficult to extract. As a Effect of ultrasonic interval time on oil yield was shown result, the maximum yield of oil extraction was in 40℃. in Fig. 2D. The results showed that with the extension of From 30 to 50 min of extraction time, the oil yield in- the interval time, the yield of the oil increased When ultra- creased, reaching a maximum yield at 50 min(Fig. 2C). sound was 3 seconds each time using pulsed ultrasonic However, with prolonged extraction time, oil yield de- (Fig. 2D). However, when the ultrasonic interval time was creased. In the beginning of 50 min, insect cells were well 2 s, the oil yield was the maximum. This effect may be at- ruptured in an ultrasonic environment, leading to a good tributed to improve mechanical and cavitation effect of ul- penetration of the water into the insect27). When the tem- trasound in interval time. The solvent permeates fully into perature and power were optimal, cavitation effect would the cell in the interval time29). When the interval time was quickly produce. Therefore, the collapse of bubbles ob- 2.5 seconds, the oil yield significantly declined. Transient tained by cavitation effect occurred and cavitation was de- state of high temperature and high pressure as well as mi-
155 J. Oleo Sci. 67, (2) 151-165 (2018) M. Sun, X. Xu, Q. Zhang et al.
cro-jet can be produced when ultrasonic wave propagated Where Y is the oil yield(%, w/w); X1 is extraction tempera- in liquid. This state will quickly disappear rapidly when the ture(℃); X2 is the extraction time(min); X3 is the ultra- interval time was prolonged. In addition, when the percent- sonic power(W); and X4 is the interval time(s). age of the total extraction time occupied by the interval The model low p value(<0.0001)revealed that the time was very large, the extraction of the oil was disadvan- model was statistically significant. In this case X1, X3, X4, 2 2 2 2 tageous. Therefore, the optimal of interval time was 2 s. X1 , X2 , X3 , X4 , and X2X3 were significant model terms. The order of influence of each factor on oil yield was ultra- 3.2 Fitting the mathematical model sonic power>extraction temperature>ultrasonic interval As the results of ANOVA for the quadratic model shown time>extraction time. in Table 3, the“ Lake of Fit F-value” of 1.77 implies the The obtained values corresponding to optimal conditions Lake of Fit is not significant relative to the pure error. Not- were as follows: X1=40℃, X2=50min, X3=400W, X4=2s significant Lake of Fit is good-we want the model to fit (Table 2). Reproducibility experiments were studied by Table 3. Moreover, the“ Pred-Squared” of 0.9131 is in rea- using these optimal conditions to assess the predictive sonable agreement with the“ AdjR-Squared” of 0.9652. ability of the model. The experimental values for essential Therefore, this model can be used to navigate the design oils(18.91±0.20 g/100 g)was very close to the predicted space30). The following second-order polynomial equation value(18.62 g/100 g). It shows that there is a high degree applied to the test variables: of correlation between the predicted and experimental 2 2 data of the regression model(R =0.9826, R adj=0.9652) 2 Y=18.62 -0.59X1+0.025X2+1.23X3-0.47X4-6.72X1 (Table 3). Therefore, the model could be applied effective- 2 2 2 -1.37X2 -5.04X3 -1.08X4 +0.15X1X2+0.77X1X3+ ly to predict the essential oil of Clanis bilineata by untra-
0.69X1X4-1.06X2X3+0.77X2X4+0.30X3X4 sound-assist aqueous extraction.
Table 3 Analysis of variance(ANOVA)for the fitted quadratic polynomial model. Sum of Mean Source DF F Value Prob> F Squares Square Model 430.49 14 30.75 56.42 <0.0001 **
X1 4.12 1 4.12 7.56 0.0157 *
X2 7.500E-003 1 7500E-003 0.014 0.9083
X3 18.23 1 18.23 33.45 <0.0001 **
X4 2.61 1 2.61 4.80 0.0460 * 2 X1 293.12 1 293.12 537.87 <0.0001 ** 2 X2 12.19 1 12.19 22.37 0.0003 ** 2 X3 164.75 1 164.75 302.32 <0.0001 ** 2 X4 7.58 1 7.58 13.91 0.0022 **
X1 X2 0.084 1 0.084 0.15 0.7004
X1 X3 2.36 1 2.36 4.32 0.0564
X1 X4 1.88 1 1.88 3.44 0.0846
X2 X3 4.47 1 4.47 8.21 0.0125 **
X2 X4 2.36 1 2.36 4.32 0.0564
X3 X4 0.35 1 0.35 0.65 0.4337 Residual 7.63 14 0.54 Lack of Fit 6.23 10 0.62 1.77 0.3053 Pure Error 1.40 4 0.35 Cor Total 438.11 28
2 2 R =0.9826 R adj=0.9652 * Significant at 0.05 level, ** Significant at 0.01 level.
156 J. Oleo Sci. 67, (2) 151-165 (2018) Clanis bilineata
3.3 Analysis of the response surface tained using temperature of 34.8-44.2℃and an extraction The interaction between these factors was studied by time of 40-60 min. At the extraction time 50 min and inter- using surface plots produced by the selected model31). val time 2 s, the highest CB oil yield should be in the tem- Two-dimensional(2D)contour plots and three-dimensional perature ranging from 34.8℃ to 44.3℃ and the power (3D)response surface graphs were constructed to detect 314.8-535.4W(Fig. 3B). Moreover, when the extraction the levels of the multiple factors to obtain the optimal CB time and the ultrasonic power were 50 min and 400 W, re- oil yield. Contour shapes represent the size of interactions. spectively, the optimal CB oil yield could be achieved at the Circles represent the interaction of two factors was not sig- interval time of 1.0-2.9 s and an extraction temperature nificant. Oval represent the interaction of two factors was range of 34.8 to 44.3℃( Fig. 4A). The effects of ultrasonic significant. power and time on CB oil yield at an extraction tempera- Figure 3A showed that with a treatment power of 400 W ture(40℃)and ultrasonic interval time(2s)were shown in and the interval time 2 s, the optimal CB oil yield was ob- Fig. 4B. As a result, the interaction between these two