Effects of Chain Length and Degree of Unsaturation of Fatty Acids on

Feb 12, 2018 - Effects of Chain Length and Degree of Unsaturation of Fatty Acids on Structure and in Vitro Digestibility of Starch–Protein–Fatty A...
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Effects of chain length and degree of unsaturation of fatty acids on structure and in vitro digestibility of starch-protein-fatty acid complexes Mengge Zheng, Chen Chao, Jinglin Yu, Les Copeland, Shuo Wang, and Shujun Wang J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.7b04779 • Publication Date (Web): 12 Feb 2018 Downloaded from http://pubs.acs.org on February 13, 2018

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Journal of Agricultural and Food Chemistry

Effects of chain length and degree of unsaturation of fatty acids on structure and in vitro digestibility of starch-protein-fatty acid complexes

Mengge Zhengab, Chen Chaoab, Jinglin Yua, Les Copelandc, Shuo Wanga*, Shujun Wangab*

a

State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China

b

College of Food Engineering and Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China

c

The University of Sydney, Sydney Institute of Agriculture, School of Life and Environmental Sciences, NSW Australia 2006

* Corresponding authors: Dr. Shuo Wang or Dr. Shujun Wang Tel: 86-22-60912486; Fax: 86-22-60912489; E-mail: [email protected] or [email protected]

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Abstract: The effects of chain length and degree of unsaturation of fatty acids (FAs)

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on structure and in vitro digestibility of starch-protein-FA complexes were

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investigated in model systems. Studies with the Rapid Visco Analyser (RVA) showed

4

that the formation of ternary complex resulted in higher viscosities than those of

5

binary complex during the cooling and holding stages. The results of Differential

6

Scanning Calorimetry (DSC), Raman and X-ray diffraction (XRD) showed that the

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structural differences for ternary complexes were much less than those for binary

8

complexes. Starch-protein-FA complexes presented lower in vitro enzymatic

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digestibility compared with starch-FAs complexes. We conclude that shorter chain

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and lower unsaturation FAs favor the formation of ternary complexes, but decrease

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the thermal stability of these complexes. FAs had a smaller effect on the ordered

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structures of ternary complexes than on those of binary complexes, and little effect on

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enzymatic digestibility of both binary and ternary complexes.

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Keywords: starch-protein-fatty acid complexes; starch-fatty acid complexes; fatty

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acid chain length; fatty acid unsaturation; in vitro digestibility

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INTRODUCTION

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Many cereal-based foodstuffs are composed of starch, proteins and lipids. Interactions

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among these macronutrients during processing influence significantly quality

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characteristics of finished foods, such as flavor, texture, mouth-feel and digestibility.

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Amylose can form helical inclusion complexes with various types of lipids, naturally

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or during food processing.1-4 As has been shown in many studies, the formation of

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these complexes reduces the solubility and swelling power of starch in water, alters

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the rheological properties of starch pastes, increases gelatinization temperature,

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reduces gel rigidity, retards retrogradation and reduces the susceptibility to enzymic

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hydrolysis.5-7 Both chain length and degree of unsaturation of fatty acids have been

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shown to affect the structure and functional properties of starch-fatty acid

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complexes.8-14

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Ternary interactions between starch, lipids and proteins have been demonstrated using

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Rapid Visco Analyzer (RVA) and high performance size exclusion chromatography

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(HPSEC) studies.15-18 The functional properties of the starch in the complexes were

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shown to be altered.19 Studies with laser confocal micro-Raman (LCM-Raman)

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spectroscopy, Fourier transform infrared spectroscopy (FTIR) and X-ray Diffraction

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(XRD) showed that starch, β-lactoglobulin and fatty acids formed a more ordered

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V-type crystalline structure compared with the respective binary starch-fatty acid

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complexes.20 The digestibility of starch, as the most important glycemic carbohydrate

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in foods, is of considerable interest nutritionally in relation to the increasing incidence 3

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of obesity and diet-related chronic diseases. However, the digestibility of starch in

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processed foods is not well understood, especially the susceptibility of complexes

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between starch, lipids and proteins to enzymic breakdown, and potential implications

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for human nutrition. Starch digestibility in processed foods is affected by interactions

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with other constituents,19 but does not seem to be correlated closely with the degree of

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starch gelatinization.21 Hence, there is a need for a greater understanding of

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interactions between starch, lipids and proteins, and of the properties of resulting

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complexes that may form. In particular, there is little information on the effect of

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chain length and degree of unsaturation of fatty acids on the formation of ternary

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complexes involving starch, lipids and proteins.

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Hence, the objectives of the present study were to use a model system to investigate

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the effects of structural attributes of FAs on the formation, structure and in vitro

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enzymatic digestibility of model starch-protein-fatty acids complexes, and to compare

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the properties of these complexes with the corresponding starch-FA complexes. This

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information is essential to developing an understanding of the interactions between

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macronutrients during food processing and of the bioavailability of these

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macronutrients for human nutrition.

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MATERIALS AND METHODS

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Materials

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Maize starch (MS, 10.2% moisture and 22.7% amylose content), β-lactoglobulin (βLG, 4

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from bovine milk, ≥90%), octanoic acid (C8:0, OcA), decanoic acid (C10:0, DA),

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lauric acid (C12:0, LA), myristic acid (C14:0, MA), palmitic acid (C16:0, PA), stearic

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acid (C18:0, SA), oleic acid (C18:1, OA) and linoleic acid (C18:2, LiA), porcine

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pancreatic α-amylase (PPA, A3176, EC 3.2.1.1, type VI-B from porcine pancreas, 16

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units/mg) were purchased from Sigma Chemical Co. (St. Louis, Mo., U.S.A.).

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Amyloglucosidase

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oxidase/peroxide, GOPOD) were purchased from Megazyme International Ireland Ltd.

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(Bray Co., Wicklow, Ireland). All other chemical reagents were of analytical grade

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and were from Sigma-Aldrich Chemical Corporation (Shanghai, China).

(AMG,

3260

U/mL),

D-Glucose

Assay

Kit

(glucose

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Rapid Viscosity Analysis (RVA)

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The pasting profiles of MS-FA and MS-βLG-FA mixtures were determined using a

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Rapid Visco Analyzer (RVA-4) (Perten Instruments Australia, Macquarie Park, NSW,

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Australia) according to the method described elsewhere.20 Maize starch (2.0 g, wet

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weight), FAs (100 mg) and βLG (200 mg) were weighed accurately into a RVA

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canister and deionised water was added to make a total weight of 28.0 g.

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The pasting profiles of the mixtures were monitored according to the STD 1 protocol

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supplied with the instrument. Briefly, starch slurries were held at 50 °C for 1 min

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before heating at a rate of 12°C /min to 95 °C, holding at 95 °C for 3 min, and then

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cooling at a rate of 12 °C /min to 50 °C and held at 50°C for 4 min. The speed of the

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mixing paddle was 960 rpm for the first 10 s, then 160 rpm for the remainder of the

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experiment. Pastes of MS were prepared by the same protocol and used as the 5

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reference. The RVA pastes were frozen in liquid nitrogen immediately after the

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conclusion of the protocol, freeze-dried, ground into powder using a mortar and pestle,

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and passed through a 150 µm sieve. The resulting powders were stored in sealed

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containers at 4 °C for further structural characterization and in vitro enzymatic

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digestibility analysis.

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Differential Scanning Calorimetry (DSC)

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Thermal properties of MS-FA and MS-βLG-FA mixtures were examined using a

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differential scanning calorimeter (200 F3, Netzsch, Germany) equipped with a

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thermal data analysis station. The sample preparation was as described in our previous

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study.20 Samples (3 mg) were weighed accurately into 40 µL aluminum pans, and

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deionized water or the appropriate amount of βLG solution was added to give a

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samples/water (or βLG solution) ratio of 1:3 (w/w) and to obtain a MS/βLG/FA ratio

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of 20:2:1 (w/w/w) or a MS/FA ratio of 20:1 (w/w). The pans were sealed, equilibrated

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overnight at room temperature, and heated from 20 to 120 °C at a rate of 10 °C/min.

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After heating, the gelatinized samples were cooled to 20 °C at 5 °C/min, and the pans

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were reheated without delay to 120 °C at a rate of 10 °C/min. An empty pan was used

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as the reference. The thermal transition parameters (onset (To), peak (Tp), conclusion

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(Tc) temperatures and enthalpy change (∆H)) for MS, MS-FA and MS-βLG-FA

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mixtures were determined from the data recording software.

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Laser Confocal Micro-Raman (LCM-Raman) Spectroscopy 6

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The short-range molecular order of MS-FA and MS-βLG-FA complexes obtained

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from the RVA was determined using a Renishaw Invia Raman microscope system

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(Renishaw, Gloucestershire, UK) equipped with a Leica microscope (Leica

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Biosystems, Wetzlar, Germany); a 785 nm green diode laser source was used. The

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spectra from 3200 to 100 cm-1 were collected from at least five different positions on

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each sample with a resolution of approximately 7 cm-1. The full width at half

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maximum (FWHM) of the band at 480 cm-1 was obtained using the WiRE 2.0

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software to characterize the short-range molecular order of complex samples.22

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Fourier Transform Infrared (FT-IR) Spectroscopy

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The FTIR spectra of complexes obtained from the RVA were obtained using a Tensor

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27 FTIR spectrometer (Bruker, Germany) equipped with a KBr beam splitter and a

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DLaTGS detector. The samples were ground with KBr powder at a ratio of 1:150

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(w/w), and the fine powders were pressed into transparent pellets and examined by

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the transmission method. The spectra were scanned in the range of 4000 to 400 cm−1

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at room temperature, with an accumulation of 64 scans and at a resolution of 4 cm-1.23

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X-ray Diffraction (XRD)

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The crystallinity of complexes obtained from the RVA was determined using a

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D/max-2500vk/pc X-ray diffractometer (Rigaku Corporation, Tokyo, Japan) with a

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Cu-Kα source (λ = 0.154 nm) operating at 40 kV and 40 mA. The samples were

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equilibrated over a saturated NaCl solution at room temperature for one week before 7

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measurement. The moisture-equilibrated samples were packed tightly in round glass

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cells and examined over the range of 5o to 30o (2θ) at a scanning rate of 2o/min and a

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step size of 0.02°.

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In Vitro Enzymatic Digestibility

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The in vitro enzymatic digestibility of MS-FA and MS-βLG-FA complexes was

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analyzed based on Englyst’s method24 and according to the procedure of Wang et al25

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with minor modifications as follows. The mixture of hydrolytic enzymes consisted of

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porcine pancreatic α-amylase (PPA) and amyloglucosidase (AMG). According to the

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manufacturer’s instructions, PPA solution was prepared by suspending 1.22 g of PPA

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(16 U/mg) in 11.9 mL deionized water at 37 oC with magnetic stirring for 10 min. The

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mixture was centrifuged at 3000 g for 15 min and 0.1 mL of AMG was added to 8.0

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mL of the supernatant. Samples of the complexes (100 mg, dry weight basis) were

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dispersed in 25 mL sodium acetate buffer (0.2 M, pH 6) containing 6.67 mmol/L

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CaCl2, and 5 mL of enzyme mixture containing 8228 U PPA and 204 U AMG was

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added. The complex-enzyme mixtures were incubated at 37 °C with stirring at 260

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rpm for 2 h. Aliquots (0.2 mL) of the hydrolysate were withdrawn at specific time

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points (from 0 to 120 min), and mixed with 0.8 mL of absolute ethanol to stop

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enzyme reactions. After centrifuging at 13000 rpm for 3 min, the supernatant was

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used to determine the glucose content by the Megazyme GOPOD kit. The hydrolysis

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percentages of starch samples were calculated from the amount of glucose produced

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(multiplied by 0.9 to convert to the anhydro-glucosyl form) divided by the initial 8

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amount of glucose equivalents in the starch.

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Statistical Analysis

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All results were measured at least in triplicate (three samples were used), and the

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results are reported as the mean values and standard deviations. In the case of XRD,

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only one measurement was performed. One way analysis of variance (ANOVA)

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followed by post-hoc Duncan’s multiple range tests (p 0.05). ND, not detected

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Table3. FWHM of the Raman Band at 480 cm-1 of MS-FA and MS-βLG-FA Complexes. FWHM at 480 cm-1

Types of FAs MS-FA

MS-βLG-FA

OcA

17.09±0.08b

16.26±0.24a

DA

16.55±0.16a

16.17±0.29a

LA

16.44±0.37a

16.15±0.17a

MA

16.59±0.15a

16.51±0.44ab

PA

18.63±0.10c

16.30±0.23a

SA

20.27±0.13d

16.78±0.31b

OA

20.06±0.26d

17.32±0.30c

LiA

18.53±0.10c

16.35±0.21a

Values are means ± SD. Means with similar letters in a column do not differ significantly (p > 0.05).

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Figure 1

100

MS MS-OcA MS-DA MS-LA MS-MA MS-PA MS-SA MS-OA MS-LiA

2500

Viscosity(cP)

2000 1500

A 90

80

70

1000 60 500

Temperature(oC)

3000

50

0

40

-500 -1

0

1

2

3

4

5

6

7

8

9 10 11 12 13 14 15 16

Time(min)

4000 3500

Viscosity(cP)

100

MS MS-βLG-OcA MS-βLG-DA MS-βLG-LA MS-βLG-MA MS-βLG-PA MS-βLG-SA MS-βLG-OA MS-βLG-LiA

3000 2500

B 90

80

2000

70

1500 60

1000 500

50

0 -500

-1

0

1

2

3

4

5

6

7

8

9 10 11 12 13 14 15 16

Time(min)

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Temperature(oC)

4500

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Figure 2

9

A

MS-LiA

-1.4

B

MS-LiA

MS-OA

MS-OA

8

7

MS-PA 6

MS-MA

MS-SA

-1.6

DSC flow

DSC flow

MS-SA

MS-PA -1.8

MS-MA MS-LA

MS-LA

5

-2.0

MS-DA

MS-DA

4

MS-OcA

MS-OcA

3 30

40

50

60

70

80

90

100

110

120

-2.2 20

130

30

40

60

70

80

C

MS-βLG-LiA

-1.0

100

D

MS-βLG-LiA MS-βLG-OA

MS-βLG-OA

8

-1.2

MS-βLG-SA

MS-βLG-SA 7

-1.4

MS-βLG-PA 6

MS-βLG-MA MS-βLG-LA

5

MS-βLG-DA 4

DSC flow

DSC flow

90

Temperature( C)

Temperature( C)

9

50

o

o

MS-βLG-PA -1.6

MS-βLG-MA -1.8

MS-βLG-LA MS-βLG-DA

-2.0

MS-βLG-OcA

MS-βLG-OcA -2.2

3 30

40

50

60

70

80

90

100

110

120

130

20

o

30

40

50

60

70 o

Temperature( C)

Temperature( C)

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90

100

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Figure 3

A MS-LiA

Relative Intensity

100000

MS-OA MS-SA MS-PA

50000

MS-MA MS-LA 0

MS-DA MS-OcA -50000 3000

2500

2000

1500

1000

500

0

500

0

-1 Wavenumbers(cm )

B MS-βLG-LiA 100000

Relative Intensity

MS-βLG-OA MS-βLG-SA MS-βLG-PA

50000

MS-βLG-MA MS-βLG-LA MS-βLG-DA

0

MS-βLG-OcA 3000

2500

2000

1500

1000

-1 Wavenumbers(cm )

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Figure 4

150

A

MS-LiA MS-OA

Transmittrance intensity

100

MS-SA MS-PA

50

MS-MA MS-LA

0

MS-DA MS-OcA

-50 -1

1710cm

-1

2857cm -100 3500

3000

2500

2000

1500

1000

500

0

-1 Wavenumbers(cm )

250

B

MS-βLG-LiA

Transmittrance intensity

MS-βLG-OA 200

MS-βLG-SA MS-βLG-PA

150

MS-βLG-MA MS-βLG-LA

100

MS-βLG-DA MS-βLG-OcA

50 -1

-1

0 3500

1540cm

2846cm 3000

2500

2000

1500

1000

-1 Wavenumbers(cm )

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0

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Figure 5

Diffraction intensity (cps)

7000 6000

LiA

5000

OA

4000

SA

3000

PA

2000

MA

1000

LA DA

0

OcA

-1000 5

10

15

20

Diffraction angle (2θ)

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30

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Figure 6

100

Hydrolysis percentage(%)

A 80

60

MS MS-OcA MS-DA MS-LA MS-MA MS-PA MS-SA MS-OA MS-LiA

40

20

0 0

20

40

60

80

100

120

Time(min)

100

Hydrolysis percentage(%)

B 80

60

MS MS-β LG-OcA MS-β LG-DA MS-β LG-LA MS-β LG-MA MS-β LG-PA MS-β LG-SA MS-β LG-OA MS-β LG-LiA

40

20

0 0

20

40

60

80

Time(min)

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Table of Contents Graphic

7000

MS

MS

FAs

MS-βLG-LiA MS-LiA(C18:2) MS-βLG-OA MS-OA(C18:1) MS-βLG-SA MS-SA(C18:0) MS-βLG-PA MS-PA(C16:0)

6000

Diffraction intensity (cps)

Binary complex

FAs

5000 4000 3000 2000

MS-βLG-MA 1000

MS-MA(C14:0) MS-βLG-LA MS-LA(C12:0)

0 -1000 5

10

15

20

25

30

Diffraction angle (2θ)

MS

β-LG

β-LG

FAs

Ternary complex

Hydrolysis percentage(%)

100

80

60

40

MS MS-MA(C14:0) MS-β LG-MA

20

0 0

20

40

60

80

Time(min)

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120