Physicochemical characteristics of stored gels from starch blends

Physicochemical characteristics of stored gels from starch blends

Accepted Manuscript Physicochemical characteristics of stored gels from starch blends H.A. Fonseca Florido, G. Méndez Montealvo, G. Velazquez, M.E. Ro...

2MB Sizes 0 Downloads 49 Views

Accepted Manuscript Physicochemical characteristics of stored gels from starch blends H.A. Fonseca Florido, G. Méndez Montealvo, G. Velazquez, M.E. Rodríguez-García, L.A. Bello-Pérez, E. Hernández-Hernández, C.A. Gómez-Aldapa PII:

S0023-6438(19)30750-9

DOI:

https://doi.org/10.1016/j.lwt.2019.108408

Article Number: 108408 Reference:

YFSTL 108408

To appear in:

LWT - Food Science and Technology

Received Date: 12 April 2019 Revised Date:

27 June 2019

Accepted Date: 16 July 2019

Please cite this article as: Fonseca Florido, H.A., Méndez Montealvo, G., Velazquez, G., RodríguezGarcía, M.E., Bello-Pérez, L.A., Hernández-Hernández, E., Gómez-Aldapa, C.A., Physicochemical characteristics of stored gels from starch blends, LWT - Food Science and Technology (2019), doi: https://doi.org/10.1016/j.lwt.2019.108408. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. 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.

ACCEPTED MANUSCRIPT

1

Physicochemical characteristics of stored gels from starch blends

2

Fonseca Florido, H. A. a, Méndez Montealvo, G.b*, Velazquez, G.b, Rodríguez-

4

García, M. E.c, Bello-Pérez, L. A.d, Hernández-Hernández, E.a and Gómez-Aldapa,

5

C. Ae*

RI PT

3

6 7

a

8

Aplicada (CIQA), Saltillo, Coahuila, México. +CONACYT Research Fellow.

9

b

Instituto Politécnico Nacional, CICATA unidad Querétaro, Querétaro, México.

10

c

Universidad Nacional Autónoma de México, Departamento de Nanotecnología,

11

Centro de Física Aplicada y Tecnología Avanzada, Campus Juriquilla, Querétaro,

12

México.

13

d

Instituto Politécnico Nacional, CEPROBI, Yautepec, Morelos, México.

14

e

Universidad Autónoma del Estado de Hidalgo, Instituto de Ciencias Básicas e

15

Ingeniería, Mineral de la Reforma, Hidalgo, México.

18

SC

M AN U

TE D

EP

17

*Corresponding author: [email protected], [email protected]

AC C

16

Departamento de Materiales Avanzados, Centro de Investigación en Química

1

ACCEPTED MANUSCRIPT

Abstract

20

Starch blends are widely used in food industry for several purposes, e.g. to reduce

21

the retrogradation, to maintain the soft texture of some product and to develop

22

different materials like microcapsules or biodegradable films. The aim of this work

23

was to study the reorganization of the amylopectin in gels from amaranth (AmS)

24

and achira (AS) starch blends stored at 4 °C during 21 days. The hardness,

25

thermal properties, crystallinity and morphology of the gels were assessed. During

26

the first 14 storage days, the structural rearrangement in the gels was mainly due

27

to the long chains of amylopectin in AS, limiting the recrystallization and modifying

28

the retrogradation process of the starches. The starch structure formed after the

29

gelatinization along with the amylopectin fine structure resulted in a lower

30

retrogradation extent of the blends when compared to the native starches. These

31

starch blends could be used in systems where a decrease in the retrogradation

32

process is crucial to maintain the textural and quality properties.

TE D

M AN U

SC

RI PT

19

33

Keywords: starch blends, retrogradation degree, amylopectin structure, remaining

35

structure, crystallinity

AC C

EP

34

2

ACCEPTED MANUSCRIPT

1. Introduction

37

Starch is used in several food products to improve specific properties, for example,

38

water holding capacity or rheological properties. Also, it is used to prepare

39

microcapsules, films and foams due to its biodegradability. In order to understand

40

and eventually to predict the effect of the starch on the properties and behavior of

41

different systems, the gelatinization and retrogradation processes of starch have

42

been the main topic of several studies (Fu, Wang, Li, Zhou, & Adhikari, 2013;

43

Nguyen Vu & Lumdubwong, 2016). During the retrogradation, the reordering of

44

amylopectin chains begins with the formation of double helices followed by an

45

improvement of the crystalline structure (Fu et al., 2013; Wang & Copeland, 2015).

46

The rearrangement process is influenced by several factors including storage

47

temperature, time, water content, extent of gelatinization, presence of other

48

solutes, botanical source, amylose/amylopectin ratio and chain-length distribution

49

of amylopectin (Ambigaipalan, Hoover, Donner, & Liu, 2013; Fu et al., 2013; Wang,

50

Li, Copeland, Niu, & Wang, 2015). The retrogradation of starch during storage is

51

considered as the major reason for the deterioration of several functional

52

properties in starch-based products (Ji et al., 2017).

53

Native starch blends are been increasingly applied in industry, e.g. to prepare food

54

with a desired rheological property, texture, storage stability or to replace chemical

55

and physical modified starch (Gupta, Bawa, & Semwal, 2009; Nguyen Vu &

56

Lumdubwong, 2016). However, for several applications the effect of the

57

retrogradation process on the performance of starch blends still has not been fully

58

studied. The understanding of the retrogradation process could be useful to

59

develop new products, control processing parameters and formulate starch blends

AC C

EP

TE D

M AN U

SC

RI PT

36

3

ACCEPTED MANUSCRIPT

from unmodified starches possessing some of the desired characteristics of

61

modified starches.

62

Some authors have studied retrogradation of starch blends through pulsed nuclear

63

magnetic resonance (Yao, Zhang, & Ding, 2003), gel hardness analysis (Gupta et

64

al., 2009; Karam, Grossmann, Silva, Ferrero, & Zaritzky, 2005; Puncha-arnon,

65

Pathipanawat, Puttanlek, Rungsardthong, & Uttapap, 2008), differential scanning

66

calorimetry (Gunaratne & Corke, 2007; Obanni & Bemiller, 1997; Ortega-Ojeda &

67

Eliasson, 2001; Zhu, Wang, & Wang, 2013) or syneresis (Yadav, Kumar, & Yadav,

68

2016). In general, it has been reported that blending different starches may retard

69

the retrogradation process. However, to our knowledge, in the literature there are

70

no studies about the relationship between the structure reached after gelatinization

71

and the amylopectin reorganization of starch blends as well as the effect of these

72

parameters on the gel hardness, thermal properties and the crystallinity during

73

storage.

74

Achira and amaranth are considered as novel and alternative botanical sources for

75

starch isolation. Achira starch has an average granule size of 45.4 µm, B-type

76

diffraction pattern and amylose content of 30.75%, meanwhile amaranth starch has

77

an average granule size of 0.9 µm, A-type diffraction pattern and amylose content

78

of 12.35% (Fonseca-Florido, Méndez-Montealvo, Velazquez, & Gómez-Aldapa,

79

2016).

80

To understand the effect of the amylose content, granule size, diffraction pattern

81

and fine structure on the reorganization of amylopectin during the storage of gels

82

from the blend of the two starches, the aim of this work was to study the molecular

AC C

EP

TE D

M AN U

SC

RI PT

60

4

ACCEPTED MANUSCRIPT

reorganization level during the retrogradation of amaranth and achira starch blends

84

at 40% solids stored for 21 days. The structural properties were evaluated by

85

measuring crystallinity percentage, thermal properties and gel hardness.

86

RI PT

83

2. Materials and methods

88

2.1 Materials and formulation of blends

89

The producer Hernando Diaz Burbano provided the achira starch (Popayan,

90

Colombia). Amaranth was obtained from a local market in Queretaro, Mexico. The

91

amaranth starch was isolated following the method reported by Fonseca-Florido et

92

al. (2016). Native amaranth (AmS) and achira (AS) starches and their blends in

93

proportions of 75% AmS/25% AS (AmS75AS25, w/w), 50% AmS/50% AS

94

(AmS50AS50, w/w) and 25% AmS/75% AS (AmS25AS75, w/w) were studied

95

under limited water conditions (40% solids).

M AN U

TE D

96

SC

87

2.2 Fine structure of debranched amylopectin

98

The amaranth and achira starches were debranched using the method reported by

99

Chávez‐Murillo, Wang, and Bello‐Pérez, (2008). Debranched starch was analyzed

100

by HPAEC-PAD using a Dionex ICS 5000 instrument equipped with a Dionex AS-

101

AP auto-sampler (Thermo Scientific, Waltham, United States), CarboPac PA200 (3

102

× 250 mm) column and CarboPac PA200 guard column (3 × 50 mm). The potential

103

and time periods for the pulsed amperometric detection were: E1, +0.10 V for 0.4 s;

104

E2, -2.0 V for 0.02 s; E3, +0.60 V for 0.01 s; E4, -0.10 V for 0.07 s. Two eluents

105

were used as the mobile phase: eluent A, 150 mM sodium hydroxide; and eluent B,

106

150 mM sodium hydroxide containing 500 mM sodium acetate. The flow was 0.5

AC C

EP

97

5

ACCEPTED MANUSCRIPT

mL min−1 and an eluent gradient was used as follow: 95% of eluent A for 5 min,

108

60% to 18 min, 15% to 55 min and 95% to 75 min. The data was processed using

109

the Chromeleon v. 6.80 SR11 software (Thermo Scientific, Waltham, United

110

States). The degree of polymerization (DP) was reported as the percentage of

111

area. Maltotriose and maltopentose were used as references to determine the

112

elution time of respective DP polymer chains. DP for total chain distribution was

113

calculated using the Equation 1 (Koch, Andersson, & Åman, 1998). ∑ ∑

⋀ ⋀

SC

=

(Eq. 1)

M AN U

114

RI PT

107

115

Where n is the number of peaks, Ai is the peak area and Ni is the degree of

116

polymerization of the i-th peak.

117

2.3 Thermal properties

119

Thermal properties were determined using a differential scanning calorimeter

120

(DSC-1, Mettler-Toledo, United States). Samples were gelatinized following the

121

methodology reported by Fonseca-Florido et al. (2016), then the pans were stored

122

at 4 °C for 1, 7, 14 and 21 days. After this period, the pans were equilibrated at

123

room temperature for 1 h, and then rescanned under the same previous conditions

124

(Heating at 5 °C/min from 25 to 95 °C). Onset (To), peak (Tp) and end (Te)

125

temperatures were determined. Gelatinization enthalpy (∆HG) and retrogradation

126

enthalpy on reheating (∆HR) of starch gels were calculated. All measurements

127

were performed in triplicate. The degree of retrogradation (DR) was calculated

128

using the Equation 2 at 1, 7, 14 and 21 days of storage.

129

AC C

EP

TE D

118

(%) = (∆H ⁄∆H )×100

(Eq. 2) 6

ACCEPTED MANUSCRIPT

2.4 X-ray diffraction analysis

131

To evaluate the crystallinity, gels were prepared under the same conditions

132

described for thermal properties and stored at 4 °C for 1, 7, 14 and 21 days, then

133

the samples were lyophilized (Freezone 4.5 Freeze Dry System, Labconco Corp.,

134

United States). Later, X-ray diffraction (XRD) patterns were obtained using a

135

diffractometer (Rigaku, Ultima IV, Japan), with a potential difference of 40 kV and

136

30 mA, with monochromatic copper radiation, CuKα with λ=1.54 Å and filter of Ni.

137

The Bragg-Brentano technique was used and the data were collected in the 2θ

138

angle from 5 to 40° at 10°/min and angular step of 0.02 using a detector DTeX of

139

high speed. In diffractograms, the areas corresponding to the crystalline and

140

amorphous regions were determined using the Fytik software (Version 0.9.8).

141

Crystallinity was determined following the method described by Hermans and

142

Weidinger, (1948).

TE D

M AN U

SC

RI PT

130

143

2.5 Scanning electron microscopy

145

Starch gels at 40% solids were stored for 1, 7, 14 and 21 days and then lyophilized

146

(Freezone 4.5 Freeze Dry System, Labconco Corp., United States). Subsequently,

147

the starch gels were observed using a scanning electron microscope (JEOL, JSM-

148

6060LV, Japan). Samples were deposited on a sample holder with electrically

149

conductive double-sided carbon tape, coated with gold and observed at 12-20 Pa

150

of pressure and 20 KV of electron acceleration. The images were obtained by a

151

secondary electron signal.

AC C

EP

144

152 153

2.6 Gel hardness 7

ACCEPTED MANUSCRIPT

Native starches and their blends at 40% solids, were heated at 90 °C using test

155

tubes in a water bath for 30 min and stored at 4 °C for 21 days to allow

156

retrogradation. For texture profile analysis, gel samples were cut into cylinders (2.5

157

cm diameter x 1 cm height), placed in a texturometer (TA-XT plus, Stable Micro

158

Systems, United Kingdom) and compressed at 30% deformation using a 2 mm/s

159

crosshead speed. Three replicates were analyzed per sample. The hardness,

160

calculated as the maximum force during compression at 30%, was used as an

161

indicator for strength of the gel structure.

M AN U

162

SC

RI PT

154

2.7 Statistical analysis

164

Results were analyzed using one-way and two-way analysis of variance (ANOVA)

165

using Origin software (Version 9.0), with a 95% confidence level. Tukey's test was

166

used to compare means (p ≤ .05). A second-order polynomial model was used

167

(Equation 3) to describe the effect of the proportion of each starch and the storage

168

time on the reorganization level of amylopectin molecules using the parameters of

169

Tp, ∆HR, DR and crystallinity.

170

yi = b0i + b1i x1 + b2i x2 + b3i x1 x2 + b4i x12+ b5i x22

171

where x1 and x2 are the code variables for amaranth content and storage time,

172

respectively, meanwhile b0i, b1i...b5i are regression coefficients. R2 and critical F-

173

value parameters were estimated to determine if the model was adequate for

174

describing the experimental data.

AC C

EP

TE D

163

175 176 177 8

(Eq. 3)

ACCEPTED MANUSCRIPT

3. Results and discussion

179

As mentioned by Yao et al. (2003), the moisture content of each swollen granule is

180

determined by the gelatinization temperature and the swelling power and it may not

181

be necessarily distributed evenly in the starch gel system due to the heterogeneity

182

of the granules. The authors also mentioned that at a high starch concentration

183

(50%), a competition for water molecules took place and a non-additive behavior

184

was observed. Considering that the retrogradation of starch can be greatly affected

185

by the moisture content, our study is focus in describing evaluating the effect of the

186

difference in granule size, amylose content and amylopectin chain length

187

distribution on the retrogradation of gels from starch blends at 40% solids during

188

the storage. The parameters that allowed obtaining the lowest retrogradation

189

extent were identified.

190

The effect of the amylose content and the granule size of amaranth and achira

191

starches on the gelatinization process was reported in a previous work (Fonseca-

192

Florido et al. 2016). The effect of the fine structure of debranched amylopectin is

193

discussed in the present study. Chain distribution of native starches are

194

summarized in Table 1. Amylopectin branch chains were grouped into four chain

195

types, namely A, B1, B2, and B3+ corresponding to the 6-12, 13-24, 25-36, and

196

>36 DP, respectively (Hanashiro, Abe, & Hizukuri, 1996). AmS showed higher

197

proportions of A chain and smaller proportions in B1, B2 and B3+ chains than

198

those in AS; consequently, AmS presented a slightly lower average chain length

199

(16.8) when compared to AS (18.8). These differences in the structure between

200

starches could affect their behavior during retrogradation.

AC C

EP

TE D

M AN U

SC

RI PT

178

201 9

ACCEPTED MANUSCRIPT

202

3.1 Thermal properties: changes of Tp, ∆HR and degree of retrogradation

204

It is generally accepted that the transition endotherms observed in retrograded

205

starch gels at temperatures below 100 °C are attributed to the rearrangement of

206

the amylopectin (Vamadevan & Bertoft, 2018). The differences in To, Tp and Te

207

reflect changes in the crystalline structure stability of the reorganized amylopectin,

208

which is influenced by the chain-length distribution and the level of disorganization

209

reached during the gelatinization of each starch (see supplementary information).

210

In gels at 40% solids, Tp values of recrystallized amylopectin were lower than the

211

temperatures of gelatinization reported in Fonseca-Florido et al. (2016), probably

212

due to the type of crystalline structure developed during retrogradation. The

213

interval of Te-To for the retrogradation ranged from 16.6 to 29.9 °C and it was

214

broader than that reported for the gelatinization of the same samples (Fonseca-

215

Florido et al., 2016). This behavior could be explained by the heterogeneity in the

216

crystalline structure including differences in size, stability and perfection of the

217

crystals formed during retrogradation.

218

A polynomial model was used to describe the behavior of Tp, ∆HR and degree of

219

retrogradation in the gels from starch blends (Figures 1). The critical F values

220

ranged from 0.0000074 to 0.00010, and the R2 values ranged from 0.8358 to

221

0.8916.

222

AmS, AmS75AS25 and AmS50AS50 had similar Tp values (Figure 1A) of the

223

studied samples ranged from 44.3 to 61.7 °C. In general, the storage time did not

224

affect the Tp, but this value increased when the proportion of AS increased in the

225

blend. This behavior could be associated with a high proportion of long chains

AC C

EP

TE D

M AN U

SC

RI PT

203

10

ACCEPTED MANUSCRIPT

(Table 1) and the presence of remaining structure of gelatinization which were

227

reported by Fonseca-Florido et al. (2016). All the samples showed an increase in

228

enthalpy of retrogradation (Figure 1B) associated with the formation of double

229

helices of the amylopectin as a consequence of the recrystallization taking place

230

during storage. AmS50AS50 had the lowest ∆H value, the lower values in ∆H of

231

the blends than those from pure starches suggest a lower tendency to

232

retrogradation.

233

The degree of the retrogradation of AS, AmS and their blends is shown in Figure

234

1C. In general, higher percentages of retrogradation were observed as the storage

235

time increased. Samples of AS (0 % amaranth) showed the highest values at 1, 7

236

and 14 days, while AmS (100% amaranth) reached the maximum value at day 21.

237

Long chains of AS contribute to a greater increase of the retrogradation kinetics,

238

allowing a faster reorganization in a shorter time than that of AmS. Silverio,

239

Fredriksson, Andersson, Eliasson and Åman (2000), found that the long chain in

240

amylopectin enhanced the retrogradation as shown by the high ∆H values

241

measured by DSC. On the other hand, blends presented a non-additive effect with

242

lower values.

SC

M AN U

TE D

EP

AC C

243

RI PT

226

244

Differences in the thermal properties between starch blends when compared to

245

pure starches during storage are related to the content of amylopectin, the

246

remaining structure and the distribution of moisture.

247

According to Vamadevan and Bertoft (2018), the high ∆H values, high transition

248

temperatures and broad melting range observed in type 4 amylopectin starches

11

ACCEPTED MANUSCRIPT

249

(potato and achira starch) agreed with previous studies that have shown that amylopectin in cereals is less prone to retrogradation, which explains the difference

251

between AmS and AS found in this study. Also, competition for water during

252

gelatinization and the remaining crystalline structure in starch blends affected its

253

retrogradation process. The restriction in molecular interactions (molecular

254

mobility) between chains of the same starch as well as between starches, modified

255

the retrogradation process.

SC

RI PT

250

256

3.2 X-ray diffraction (XRD)

258

Figure 2 shows the X-ray diffraction patterns for gels from AmS and AS at 40% of

259

solids through the storage time, similar trend in the diffraction patterns was

260

observed for all the studied blends (data not shown). The molecular rearrangement

261

during retrogradation is characterized by the formation of crystalline structures that

262

determine the signal intensity. The intensity and type of signal depend on the

263

storage temperature, water content and amylose/amylopectin ratio (Ambigaipalan

264

et al., 2013).

265

Under limiting water conditions (40% solids), the percentage of crystallinity and the

266

intensity of peaks in the diffractograms increase a little during 21 days of storage,

267

probably because the high proportion of remaining ordered structure limited the

268

interactions among amylopectin chains. Also, the amylopectin fine structure could

269

have prevented the formation of an ordered structure (Bertoft et al., 2016; Fu et al.,

270

2013). This behavior is reflected in low values of ∆HR (Figure 1B) and in the

271

percentage of retrogradation (Figure 1C).

AC C

EP

TE D

M AN U

257

272 12

ACCEPTED MANUSCRIPT

The percentage of crystallinity for AmS, AS and their blends is shown in Figure 3.

274

The crystallinity of AmS75AS25 blend increased from 9.9 to 12.53 % at day 1 and

275

day 21, respectively. The low values of crystallinity obtained in this blend may be

276

related to the higher degree of disorganization during gelatinization (Fonseca-

277

Florido et al., 2016). A higher disorganization could cause a change in orientation

278

of the two chains that constitute the double helices, retarding the reorganization

279

during retrogradation (Fisher & Thompson, 1997).

280

For AmS50AS50 blend, the percentage of crystallinity was 12.85 and 13.65% at 1

281

and 21 days, respectively. AmS25AS75 blend had the same behavior than

282

AmS50AS50 blend. These values increased up to 13.71 and 15.77% for the same

283

storage times. The chain-length distribution of amylopectin in AS could explain the

284

highest increase in the percentage of crystallinity as Vamadevan and Bertoft,

285

(2018) indicated that retrogradation is strongly influenced by the interactions

286

between the long amylopectin chains.

287

The differences in the crystallinity observed in the AmS and AS blends are

288

explained by the structure of amylopectin, the content and competition for water

289

and the ordered structure after gelatinization, which limited the mobility and the

290

interactions between adjacent chains. Blending AmS and AS allowed decreasing

291

the reorganization of starch crystals. In the starch gels studied, a high crystallinity

292

was observed probably due to a high quantity of initial structure remaining and the

293

high solids content; however, these parameters did not changed significantly

294

during storage probably due to the limitation in molecular mobility.

AC C

EP

TE D

M AN U

SC

RI PT

273

295 296

3.3 Scanning electron microscopy during the retrogradation process 13

ACCEPTED MANUSCRIPT

The morphology of the retrograded gels is shown in Figure 4. All gels showed a

298

non-uniform structure with differences in the arrangement (alignment, shape of the

299

cavities and fractures) and tightly interconnected after recrystallization of

300

amylopectin.

301

The formation of a three-dimensional network with cavities or pores at day 1 was

302

observed in the AmS25AS75 and AmS50AS50 blends (see marking arrows)

303

(Figure 4). At higher magnifications, some non-gelatinized granules were detected

304

with more detail. In AmS50AS50 blend, the structure was heterogeneous and

305

rough with a high amount of entrapped granules (see marking circles) acting as

306

retarding agents, which could have limited the recrystallization of amylopectin.

307

A different structure arrangement between day 1 and 21 was found in the blends.

308

At day 21, a high quantity of remnant granules with least cavities or pores were

309

observed. This behavior allows correlating the changes in the morphological

310

structure of the blends with the low percentage of retrogradation, ∆HR and the

311

percentage of crystallinity during storage.

312

According to SEM micrographs, the formation of a heterogeneous and rough

313

structure with non-gelatinized granules embedded in the starch matrix could have

314

prevented the rearrangement of the amylopectin molecules in the blends.

SC

M AN U

TE D

EP

AC C

315

RI PT

297

316

Bertoft et al. (2016) found that low amounts of B2-chains resulted in low ∆H values

317

and low iodine binding properties. The results suggest that very few intermolecular

318

interactions involving internal chain segments were established, and probably most

319

interconnections took place among external chains of adjacent molecules.

320 14

ACCEPTED MANUSCRIPT

3.4 Gel hardness

322

Gel hardness values of AmS, AS and their blends after 21 days of storage are

323

shown in Table 2. The increasing of gel hardness during storage could be due to

324

intermolecular bridges established simultaneously (Bertoft et al., 2016), although

325

the remaining structure limited the propagation of the crystals.

326

The blends showed a behavior similar to that of AmS. The increasing of AmS in the

327

blends resulted in lower values of hardness. Results suggest that the

328

retrogradation process in the studied blends was more influenced by AmS. The

329

high content of highly-branched amylopectin with a low average chain length in

330

AmS, resulted in softer gels during recrystallization. Vamadevan and Bertoft (2018)

331

mentioned that the amylopectin with short chains results in weak gels with short

332

double-helices, poor inter-molecular alignment and short inter-molecular double-

333

helical junctions.

334

The increase in hardness during storage of the AS and the AmS25A75 samples is

335

explained by the amylose content and the high proportion of amylopectin long

336

chains which contain more cross-linking zones for the reorganization of the

337

molecules. Saeaurng and Kuakpetoon (2018) mentioned that long amylopectin

338

chains contributed to a high degree of amylopectin retrogradation.

339

On the other side, no significant differences (p<0.05) were found among the blends

340

at 21 days of storage (Table 2) which could also be attributed to the remaining

341

structure of native starch (Fonseca-Florido et al., 2016).

342

The hardness values for AS gels at 40% solids changed slightly through 21 days of

343

storage. Probably, a decrease in the interaction between external chains of

344

amylopectin enforced the gel structure during retrogradation. Also, the lack of

AC C

EP

TE D

M AN U

SC

RI PT

321

15

ACCEPTED MANUSCRIPT

propagation of crystals promoted by the remaining structure resulted in the low

346

hardness values in the blends containing AS.

347

The gel hardness could be controlled by the proportion of the long and short chains

348

depending on the botanical source of starches in the blend.

RI PT

345

349

4. Conclusions

351

Due to the long amylopectin chains and the high amount of amylose, achira starch

352

drove the retrogradation process of the blends up to 14 days of storage.

353

Nevertheless, at 21 days, the amaranth starch, because of its high amylopectin

354

content, ruled the retrogradation process. In the blends, the achira starch acted as

355

a retarding agent limiting the recrystallization and modifying the retrogradation

356

process.

357

Amylopectin reorganization during storage of starch blends depended on the

358

presence of remaining structure and the differences in chain-length distribution of

359

amylopectin. Incomplete gelatinization and high restriction on chain mobility

360

significantly affected the rearrangement of amylopectin in retrograded starches

361

blends.

362

The behavior of the gels obtained from blends of amaranth and achira starches

363

could be useful to maintain the texture and quality during storage of food products

364

containing starch. Additionally, starch blends might provide the same response that

365

starches chemically modified and they can be used when natural products are

366

required.

AC C

EP

TE D

M AN U

SC

350

367 368

Acknowledgment 16

ACCEPTED MANUSCRIPT

M. Alicia Del Real-López, for the service and loan of the scanning electron

370

microscopy equipment of the Centro de Física Aplicada y Tecnología Avanzada,

371

Universidad Nacional Autónoma de México, Campus Juriquilla, Querétaro. HAFF

372

acknowledge the scholarship from CONACyT-Mexico, and the support of the

373

Laboratorio Nacional en Innovación y Desarrollo de Materiales Ligeros para la

374

Industria Automotriz (LANIAUTO), CONACyT Project 294030. The support of Q.A.

375

Martín Adelaido Hernández Landaverde for the X-ray analysis is appreciated.

SC

RI PT

369

376

References

378

Ambigaipalan, P., Hoover, R., Donner, E., & Liu, Q. (2013). Retrogradation

M AN U

377

379

characteristics of pulse starches. Food Research International, 54(1), 203–212.

380

https://doi.org/10.1016/j.foodres.2013.06.012

Bertoft, E., Annor, G. A., Shen, X., Rumpagaporn, P., Seetharaman, K., &

TE D

381

Hamaker, B. R. (2016). Small differences in amylopectin fine structure may

383

explain large functional differences of starch. Carbohydrate Polymers, 140, 113–

384

121. https://doi.org/10.1016/j.carbpol.2015.12.025

385

EP

382

Chávez‐Murillo, C., Wang, Y., & Bello‐Pérez, L. (2008). Morphological, physicochemical and structural characteristics of oxidized barley and corn

387

starches. Starch‐Stärke, 60(11), 634–645.

388

AC C

386

Fisher, D., & Thompson, D. (1997). Retrogradation of maize starch after thermal

389

treatment within and above the gelatinization temperature range. Cereal

390

Chemistry, 74(3), 344–351.

391 392

Fonseca-Florido, H. A., Gómez-Aldapa, C. A., Velazquez, G., HernándezHernández, E., Mata-Padilla, J. M., Solís-Rosales, S. G., & Méndez-Montealvo, 17

ACCEPTED MANUSCRIPT

393

G. (2017). Gelling of amaranth and achira starch blends in excess and limited

394

water. LWT - Food Science and Technology, 81, 265–273.

395

https://doi.org/10.1016/j.lwt.2017.03.061 Fonseca-Florido, H., Méndez-Montealvo, G., Velazquez, G., & Gómez-Aldapa, C.

RI PT

396

A. (2016). Thermal study in the interactions of starches blends: Amaranth and

398

achira. Food Hydrocolloids, 61, 640–648.

399

https://doi.org/10.1016/j.foodhyd.2016.06.027

400

SC

397

Fu, Z. Q., Wang, L. J., Li, D., Zhou, Y. G., & Adhikari, B. (2013). The effect of partial gelatinization of corn starch on its retrogradation. Carbohydrate

402

Polymers, 97(2), 512–517. https://doi.org/10.1016/j.carbpol.2013.04.089

403

M AN U

401

Gunaratne, A., & Corke, H. (2007). Gelatinizing, pasting, and gelling properties of potato and amaranth starch mixtures. Cereal Chemistry, 84(1), 22–29.

405

https://doi.org/10.1094/CCHEM-84-1-0022

406

TE D

404

Gupta, M., Bawa, A. S., & Semwal, A. D. (2009). Morphological, Thermal, Pasting, and Rheological Properties of Barley Starch and Their Blends. International

408

Journal of Food Properties, 12(3), 587–604.

409

https://doi.org/10.1080/10942910801947763 Hanashiro, I., Abe, J., & Hizukuri, S. (1996). A periodic distribution of the chain

AC C

410

EP

407

411

length of amylopectin as revealed by high-performance anion-exchange

412

chromatography. Carbohydrate Research, 283, 151–159.

413

https://doi.org/10.1016/0008-6215(95)00408-4

414

Hermans, P., & Weidinger, A. (1948). Quantitative X‐Ray Investigations on the

415

Crystallinity of Cellulose Fibers. A Background Analysis. Journal of Applied

416

Physics, 19(5), 491–506. 18

ACCEPTED MANUSCRIPT

417

Ji, N., Liu, C., Zhang, S., Yu, J., Xiong, L., & Sun, Q. (2017). Effects of chitin nanowhiskers on the gelatinization and retrogradation of maize and potato starches.

419

Food Chemistry, 214, 543–549.

420

https://doi.org/10.1016/J.FOODCHEM.2016.07.113

RI PT

418

Karam, L. B., Grossmann, M. V. E., Silva, R. S. S. F., Ferrero, C., & Zaritzky, N. E.

422

(2005). Gel textural characteristics of corn, cassava and yam starch blends: A

423

mixture surface response methodology approach. Starch/Staerke, 57(2), 62–70.

424

https://doi.org/10.1002/star.200400328

Koch, K., Andersson, R., & Åman, P. (1998). Quantitative analysis of amylopectin

M AN U

425

SC

421

426

unit chains by means of high-performance anion-exchange chromatography with

427

pulsed amperometric detection. Journal of Chromatography A, 800(2), 199–206.

428

Nguyen Vu, H. P., & Lumdubwong, N. (2016). Starch behaviors and mechanical properties of starch blend films with different plasticizers. Carbohydrate

430

Polymers, 154, 112–120. https://doi.org/10.1016/j.carbpol.2016.08.034

432 433

Obanni, M., & Bemiller, J. N. (1997). Properties of Some Starch Blends. Cereal Chemistry, 74(4), 431–436. https://doi.org/doi:10.1094/CCHEM.1997.74.4.431

EP

431

TE D

429

Ortega-Ojeda, F. E., & Eliasson, A. C. (2001). Gelatinisation and retrogradation behaviour of some starch mixtures. Starch/Staerke, 53(10), 520–529.

435

https://doi.org/10.1002/1521-379X(200110)53:10<520::AID-

436

STAR520>3.0.CO;2-D

437

AC C

434

Puncha-arnon, S., Pathipanawat, W., Puttanlek, C., Rungsardthong, V., & Uttapap,

438

D. (2008). Effects of relative granule size and gelatinization temperature on

439

paste and gel properties of starch blends. Food Research International, 41(5),

440

552–561. https://doi.org/10.1016/j.foodres.2008.03.012 19

ACCEPTED MANUSCRIPT

441

Saeaurng, K., & Kuakpetoon, D. (2018). A comparative study of mango seed kernel starches and other commercial starches: the contribution of chemical fine

443

structure to granule crystallinity, gelatinization, retrogradation, and pasting

444

properties. Journal of Food Measurement and Characterization, 12(4), 2444–

445

2452. https://doi.org/10.1007/s11694-018-9861-x

446

RI PT

442

Silverio, J., Fredriksson, H., Andersson, R., Eliasson, A.-C., & Åman, P. (2000).

The effect of temperature cycling on the amylopectin retrogradation of starches

448

with different amylopectin unit-chain length distribution. Carbohydrate Polymers,

449

42(2), 175–184. https://doi.org/10.1016/S0144-8617(99)00140-X

M AN U

450

SC

447

Vamadevan, V., & Bertoft, E. (2018). Impact of different structural types of

451

amylopectin on retrogradation. Food Hydrocolloids, 80, 88–96.

452

https://doi.org/10.1016/j.foodhyd.2018.01.029

Wang, S., & Copeland, L. (2015). Effect of acid hydrolysis on starch structure and

454

functionality: A review. Critical Reviews in Food Science and Nutrition, 55(8),

455

1081–1097.

TE D

453

Wang, S., Li, C., Copeland, L., Niu, Q., & Wang, S. (2015). Starch Retrogradation:

457

A Comprehensive Review. Comprehensive Reviews in Food Science and Food

458

Safety, 14(5), 568–585. https://doi.org/10.1111/1541-4337.12143

AC C

459

EP

456

Yadav, R. B., Kumar, N., & Yadav, B. S. (2016). Characterization of banana,

460

potato, and rice starch blends for their physicochemical and pasting properties.

461

Cogent Food & Agriculture, 2(1), 1–12.

462

https://doi.org/10.1080/23311932.2015.1127873

463 464

Yao, Y., Zhang, J., & Ding, X. (2003). Retrogradation of starch mixtures containing rice starch. Journal of Food Science, 68(1), 260–265. 20

ACCEPTED MANUSCRIPT

465 466

https://doi.org/10.1111/j.1365-2621.2003.tb14149.x Zhu, F., Wang, S., & Wang, Y. J. (2013). Physical properties and enzyme susceptibility of rice and high-amylose maize starch mixtures. Journal of the

468

Science of Food and Agriculture, 93(12), 3100–3106.

469

https://doi.org/10.1002/jsfa.6146

470

AC C

EP

TE D

M AN U

SC

471

RI PT

467

21

ACCEPTED MANUSCRIPT

472

Figure caption

473

Figure 1. Peak temperature (A), enthalpy of retrogradation (B) and degree of

475

retrogradation (C) of gels from AmS and AS and their blends at 40 % solids during

476

storage at 4 °C.

477

Figure 2. X-ray diffraction patterns of: A) AmS, B) AS at 40% solids, stored at 4 °C.

478

Figure 3. Crystallinity percentage of AmS and AS and their blends at during

479

storage at 4 °C

480

Figure 4. Microphotograph of blends at 40% solids, stored at 4 °C at 250, 1000

481

and 2500 magnifications.

AC C

EP

TE D

M AN U

SC

RI PT

474

22

ACCEPTED MANUSCRIPT

Table 1. Degree of polymerization of amaranth and achira starches.

AS AmS

% Chain-length distribution

18.8 ± 0.1

A chain (DP 6-12) 31.6± 0.5

B1 chain (DP 13-24) 49.2 ± 0.1

B2 chain (DP 25-36) 9.7 ± 0.3

B3 + chain (DP≥37) 9.4± 0.2

16.8 ± 0.1

43.5 ± 0.2

41.1 ± 0.1

8.1 ± 0.1

7.2 ± 0.1

RI PT

Sample

Average chain length (DP)

AC C

EP

TE D

M AN U

SC

DP=Degree of polymerization. Values are means of three replicates

ACCEPTED MANUSCRIPT

Table 2. Gels hardness for AmS, AS and their blends at 21 days of storage at 4 °C. Blends

Hardness (N)

Increase over time (%) 171

83.89±1.67a

AmS75AS25

118.23±2.43b

30.8

AmS50AS50

124.63±4.18b

11.5

AmS25AS75

115.91±3.72b

3.13

AS

149.48±3.44c

SC

RI PT

AmS

1

AC C

EP

TE D

M AN U

Values with different letter indicate significant difference (p<0.05).

AC C

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

AC C

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

AC C

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

AC C

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

ACCEPTED MANUSCRIPT

Highlights - Orderly structure remaining affects amylopectin reorganization - Achira starch acts like retardant agent to amaranth starch retrogradation

RI PT

- Starch blends presented lower degree of retrogradation and retrogradation enthalpy

- Water competition between starches limits molecular mobility

AC C

EP

TE D

M AN U

SC

- Amylopectin chain length affects the molecular interaction of starches blends