effect of aleurone-rich flour on composition, cooking, textural, and sensory properties of pasta
TRANSCRIPT
Accepted Manuscript
Effect of aleurone-rich flour on composition, cooking, textural, and sensory propertiesof pasta
A. Bagdi, F. Szabó, A. Gere, Z. Kókai, L. Sipos, S. Tömösközi
PII: S0023-6438(14)00432-0
DOI: 10.1016/j.lwt.2014.07.001
Reference: YFSTL 4028
To appear in: LWT - Food Science and Technology
Received Date: 5 December 2013
Revised Date: 27 May 2014
Accepted Date: 1 July 2014
Please cite this article as: Bagdi, A, Szabó, F, Gere, A, Kókai, Z, Sipos, L, Tömösközi, S, Effect ofaleurone-rich flour on composition, cooking, textural, and sensory properties of pasta, LWT - FoodScience and Technology (2014), doi: 10.1016/j.lwt.2014.07.001.
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EFFECT OF ALEURONE-RICH FLOUR ON COMPOSITION, 1
COOKING, TEXTURAL, AND SENSORY PROPERTIES OF 2
PASTA 3
A Bagdia, F Szabóa, A Gereb, Z Kókaib, L Siposb, S Tömösközia* 4
aDepartment of Applied Biochemistry and Food Science, Budapest University of Technology and 5
Economics, H-1521 Budapest, P.O. Box 91. Hungary 6
bCorvinus University of Budapest, Faculty of Food Science, Sensory Laboratory, 7
H-1118 Budapest, 29-43 Villányi Str., Hungary 8
9
10
Keywords: pasta, aleurone, cooking quality, texture analysis, sensory analysis 11
12
Abbreviations: aleurone-rich flour: ARF, wheat pasta flour: WPF, aleurone-rich flour made pasta: 13
AP, conventional pasta: CP 14
15
*Corresponding author. Tel.: +36 1 463 1419; fax: +36 1 463 3855. Postal address: Budapest 16
University of Technology and Economics, H-1111, 4 Szent Gellért Square, I/106, Budapest, Hungary 17
E-mail address: [email protected] (S. Tömösközi) 18
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Abstract 21
The pasta making potential of a recently developed, large-scale produced, wheat aleurone-rich flour 22
(ARF) was examined using a laboratory-scale, dry semolina egg pasta model product. It was 23
confirmed by the outstandingly high protein content (26.67 g/100g d.m.) that ARF is concentrated to a 24
certain degree in aleurone layer and/or in subaleurone cells. The cooked ARF made pasta (AP) had 25
more than two times higher protein (12.72 versus 4.92 g/100g) and ash (1.83 versus 0.71 g/100g) 26
content, greatly higher crude fat (0.52 g/100 g versus 0.0 g/100g) and total dietary fibre (7.76 versus 27
1.70 g/100g) content than the cooked conventional pasta (CP). Addition of ARF to the pasta product 28
resulted in lower water uptake, higher cooked pasta firmness, higher tensile strength, and lower 29
stickiness. The cooking loss of pasta did not change with addition of ARF. Sensory profiling showed 30
darker, more intense, bitterer, and sourer taste of AP compared to CP. Consumer acceptance decreased 31
with addition of ARF regarding texture, flavour, and overall acceptance. Acceptance of AP was 32
significantly higher among assessors, who tend to buy non-conventional pasta products. The results 33
suggest that ARF is more applicable in value-added pasta production than wheat bran fractions or 34
whole-grain flour. 35
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1. Introduction 36
Protective effect of whole-grain consumption against widespread, diet-related diseases is 37
associated with dietary fibre components and phytochemicals of cereals (Fardet, 2010). These 38
components are abundantly present in the germ and in the outer layers of the wheat kernel. Despite 39
their beneficial health effects, the utilization of these grain constituents is hindered because of low 40
consumer acceptance, which is associated with disliked end-product quality (Dammann, Hauge, 41
Rosen, Schroeder, & Marquart, 2013). To preserve the nutritional values several studies have been 42
carried out examining either whole-grain foods or bran reincorporation in food products (Delcour & 43
Poutanen, 2013). 44
One of the ideal fibre-carrier foodstuffs is pasta. Pasta products are staple foods all around the 45
world and have been examined widely regarding fibre enrichment, as reviewed recently (Brennan, 46
2013). Especially much attention has been given to the usage of wheat bran, wheat germ, and wheat 47
wholegrain material in pasta matrices. It has been shown that wheat bran or whole-wheat flour 48
incorporation leads to crucial changes: increased cooking loss (Aravind, Sissons, Egan, & Fellows, 49
2012; Kaur, Sharma, Nagi, & Dar, 2011; Kordonowy & Youngs, 1985; Manthey & Schorno, 2002; 50
Shiau, Wu, & Liu, 2012; Sudha, Rajeswari, & Venkateswara Rao, 2012), decreased water uptake 51
(Aravind et al., 2012; Kordonowy & Youngs, 1985; Sudha et al., 2012), decreased pasta firmness 52
(Aravind et al., 2012; Chen et al., 2011; Kordonowy & Youngs, 1985; Manthey & Schorno, 2002; 53
West, Seetharaman, & Duizer, 2013), and reduced extensibility (Shiau et al., 2012) were reported. 54
Increased cooking loss and decreased firmness refer to lower quality pasta, while water uptake is not 55
unambiguously related to pasta quality in the literature. Furthermore, wheat bran and whole grain 56
addition results in decreased consumer acceptance and leads to a darker product, which has 57
considerably different flavour from conventional pasta (Aravind et al., 2012; Kaur et al., 2011; 58
Kordonowy & Youngs, 1985; West et al., 2013). 59
Besides using wheat bran and whole-grain flour, other possible ways of utilizing the wheat`s 60
nutritional values have emerged. Several fractionation methods have been developed for producing 61
milling fractions that are concentrated in aleurone layer. The aleurone layer is considered to be one of 62
the most valuable parts of wheat, due to its high content of bioactive components (Brouns, Hemery, 63
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Price, & Anson, 2012; Fardet, 2010). Since this layer, anatomically belonging to the endosperm, has 64
considerably different composition from other parts of the wheat bran, it is assumed that aleurone-rich 65
fractions contribute to different functionality than other bran fraction-enriched flour or whole wheat 66
flour. 67
Although several studies address the compositional characterisation of the aleurone layer and 68
aleurone-rich milling fractions, only few studies have been published about aleurone-enriched food 69
products, as reviewed recently (Brouns et al., 2012). These papers showed adverse effects of aleurone-70
rich fraction addition on the end-product quality of bread. However, it was also claimed that the 71
addition of aleurone-rich milling fraction to white flour results in a product that is more acceptable 72
than wholegrain bread while nutritionally comparable to that (Brouns, Adam-Perrot, Atwell, & von 73
Reding, 2010). As these researchers studied exclusively bread products, it is expedient to investigate 74
aleurone enrichment in other types of food matrices, e.g. pasta products. 75
The above mentioned studies worked with laboratory small scale or semi-industrially 76
produced milling fractions. To the knowledge of the authors, no study on industrially produced 77
aleurone-rich milling fraction has been published so far. 78
The objective of the present work was the comprehensive investigation of a newly-developed, 79
industrially produced milling fraction, namely aleurone-rich flour (hereafter: ARF), using a 80
laboratory-scale pasta model product. ARF is produced by adding additional process steps to an 81
existing mill. This process supposedly enriches its product in aleurone layer and/or in subaleurone 82
cells. Compositional traits and rheological properties of ARF have been presented earlier (Tömösközi 83
et al., 2012). While most of the studies that dealt with fibre enrichment of pasta examined dry 84
semolina pasta, in the present study we worked with a dry semolina egg pasta matrix, which is the 85
most widespread type of pasta in Hungary. Compositional, cooking, textural, and sensory evaluation 86
was carried out. 87
88
2. Materials and Methods 89
90
2.1. Materials 91
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WPF and industrially made ARF were provided by Gyermelyi Zrt, Hungary and were produced 92
simultaneously from the same, homogeneous batch of aestivum wheat. WPF meets the requirements 93
of the Codex Alimentarius Hungaricus (Ministry of Agriculture and Rural Development, 2007). ARF 94
producing technology was developed at Gyermelyi Zrt, Hungary with the cooperation of Department 95
of Applied Biotechnology and Food Science, Budapest University of Technology and Economics, 96
Hungary and Bühler AG, Switzerland. Commercially available wheat flour (ash content: 0.55 g/100g), 97
which was used only at particle size distribution measurement, was originated from the same mill. 98
Other ingredients (whole egg powder (protein content: min. 45 g/100 g, fat content: 33±5 g/100 g), 99
salt) were obtained from local shops in Budapest. Samples were stored in sealed plastic pots at room 100
temperature. 101
Mixture of WPF and ARF was prepared in the proportions of 15 g/100 g, 40g/100 g, 75 g/100 g 102
with a Kitchen Aid 5KPM5 planetary mixer (KithcenAid Europa, Inc. Brussels, Belgium) equipped 103
with a flat beater, using a mixing speed of 84 rpm (speed 2) and a mixing time of 8 minutes. 104
105
2.2. Pasta making 106
Flat egg-pasta was prepared from 200 g flour, 4.4 g egg powder, and water. The amount of 107
water used in pasta making was determined during preliminary tests, taking into account the visual 108
appearance and the cohesivity of the cooked and the uncooked pasta. Based on these experiments 70 109
ml water for conventional pasta (CP), and 76 ml for aleurone-rich flour made pasta (AP) was used; 110
linear combination of these amounts was applied for blended samples. The ingredients were mixed 111
and kneaded in a Kitchen Aid 5KPM5 planetary mixer (KithcenAid Europa, Inc. Brussels, Belgium) 112
equipped with a flat beater on a mixing speed of 84 rpm (speed 2). Afterwards 3.5 mm wide flat pasta 113
was prepared in a commercially available pasta press (La Monferrina P3, Asti, Italy) equipped with a 114
dough plate No. 25. The pasta was dried as described elsewhere (Gelencsér, Gál, Hódsági, & Salgó, 115
2007). Dried pasta samples were stored in sealed plastic bags at 4 °C. For determining chemical 116
composition, pasta samples were ground with a Cemotec 1090 Sample mill (Tecator AB, Höganas, 117
Sweden) equipped with a 500 µm sieve and stored in plastic bags until analysis. 118
119
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2.3. Composition and particle size distribution 120
Flour and grounded pasta were analysed for ash, moisture, crude protein (Nx5.7), soluble 121
dietary fibre, insoluble dietary fibre, and total dietary fibre content according to international standards 122
(AACC International, 1999). Crude fibre was determined by Weende method (AOAC, 2003); crude 123
fat was measured by a rapid determination method using hexane (AOAC, 2003). Available 124
carbohydrate content was calculated according to FAO recommendations (FAO, 2003). Measurements 125
were carried out in duplicates. Compositional values of flour are presented in dry basis; data of cooked 126
pasta are reported on the “as-is” basis. 127
Particle size distribution was determined according to AACC method (AACC International, 128
1999), using a Retsch AS 200 vibratory sieve shaker (Retsch Technology GmbH, Haan, Germany) at 129
an amplitude of 70 and with a sieving time of 15 min. Sieves with the following mesh size were used: 130
150 µm, 250 µm, 300 µm. ARF, WPF, and, for comparison, conventional wheat flour (ash: 0.55 g/100 131
g d.m.) was examined. Results are reported on the “as-is” basis. Measurements were carried out in 132
triplicates. 133
134
2.4. Cooking quality 135
For analyses 25 g of dried pasta was cooked in 375 ml water on a hot-plate, adding 3.75 g salt. 136
After cooking, the samples were drained rapidly. Cooking loss and cooking time was determined 137
based on AACC methods (AACC International, 1999). Every sample had a cooking time of 6 138
minutes. For evaluating the water uptake, pasta was weighed before cooking and after draining. Water 139
uptake is the ratio of the weight of the water absorbed during cooking and the weight of dry pasta 140
before cooking (g water/ 100 g pasta). 141
The cooked pasta was freeze-dried in a Christ Alpha 1-4 freeze-dryer (Martin Christ 142
Gefriertrocknungsanlagen GmbH, Osterode am Harz, Germany) right after cooking. The water content 143
of the cooked pasta was determined by an air-oven method (AACC International, 1999). The cooked, 144
freeze-dried pasta was grinded as described above (2.2). All measurements were carried out in 145
duplicates. 146
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2.5. Texture analyses 148
Cooked pasta was stored in plastic containers and was subjected to texture analyses, within 15 149
minutes after straining, using a TA TX plus Texture Analyzer equipped with a 5 kg load cell (Stable 150
Microsystem, Surrey, Uk). Exponent 32 6.0.2.0 software was used for recording data. All texture 151
measurements were carried out in quadruplets. Original projects built in the software were loaded and 152
used for the measurements. 153
The project “Comparison of hardness and adhesiveness of noodles using a Cylinder Probe” 154
was used for measuring adhesiveness. The instrument was equipped with a P36 cylinder probe. 155
Default settings were used: 2mm/s pre-test speed, test speed, and post-test speed, 75 % strain, trigger 156
type: 10 g - auto, and 200 pps (points per second) data acquisition. Two stripes of pasta were tested at 157
a time. 158
Pasta firmness was determined with the “Determination of pasta firmness using the AACC 159
(16-50) Standard method” project using a Light Knife Blade probe. Default settings were used: 0.17 160
mm/s test speed, 10 mm/s post-test speed, 4.5 mm distance, trigger type - button, and 400 pps data 161
acquisition. 5 stripes of pasta were placed under the blade perpendicularly to that. 162
Extensibility of pasta was measured using “Extensibility of dough and measure of gluten 163
quality” project. Kiefer dough and gluten extensibility rig was used for the measurement. Default 164
settings were applied: pre-test speed 2 mm/s, 3.3 mm/s, 10 mm/s test speed, and 75 mm distance, 165
trigger force – auto 50g, and 200 pps data acquisition was adjusted. During the test, the sample was 166
extended as long as it broke. Tensile strength and extensibility are reported. One stripe of pasta was 167
placed into the probe at a time. 168
169
2.6. Acceptance tests 170
Acceptance tests were conducted according to ISO/DIS 11136 international standard. An 11 171
points hybrid hedonic scale (0= Disliked extremely, 5= Neither liked nor disliked, 10=liked extremely) 172
was used based on Villanueva and Da Silva (2009). Pasta samples (100 g/person) were tested with 60 173
consumers (recruited at the university; 34 females/26 males; 19–59 years) with respect of appearance, 174
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colour, odour, texture, flavour, and overall acceptance. At the end of the session assessors were asked 175
to record (yes or no) if they regularly buy non-conventional (coloured, value-added products) pasta. 176
177
2.7. Sensory profiling 178
Descriptive profiling (Quantitative Descriptive Analyis, QDA) was carried out in the sensory 179
laboratory of Corvinus University of Budapest, which fulfils the requirements of the ISO8589:2007 180
international standard. Samples were evaluated by a trained panel recruited at the university (6 male/8 181
female). The recommendations of Kilcast (2010) were followed during the sample presentation. 182
In the first phase of the test, the panel developed descriptors for the sensory attributes of CP 183
and AP products. In the final questionnaire a set of 12 descriptive terms was selected (Table 1). For 184
each attribute the panellists created an unstructured line scale with descriptor labels at either ends. The 185
CP was chosen as a reference sample, in order to achieve reduced variation among the panellists. The 186
panel defined the intensity value of the reference sample in respect of every sensory attribute. 187
In the second phase AP was evaluated in comparison to CP. Assessors rated the samples (100 188
g/person) individually, on the basis of the questionnaires, using a balanced test design, in which 189
serving order was randomized for each assessor. Scale responses were converted to numeric values 190
ranging from 0 to 100. The sensory attributes were accepted as variables for statistical evaluation. 191
Special purpose software (ProfiSens, a joint development of the Corvinus University of Budapest and 192
the Budapest University of Technology and Economics) was used during the test sessions to create the 193
experimental design, to collect and to analyse panellists’ data. 194
195
2.8. Statistical analysis 196
Statistical analyses were carried out using Statistica 11 software (StatSoft Inc., Tulsa, 197
Oklahoma, USA). For parametric tests homoscedasticity of the errors, normality, and homogeneity of 198
variance were tested. Where data did not meet the requirements, non-parametric test (Kurskal-wallis) 199
was used. 200
Results of profile analysis were examined with t-test for a single mean. The observed mean of 201
each property of the AP was compared to the corresponding, anchored value of the CP. Simple 202
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regression was used for the analysis of the effects of ARF addition on cooking parameters, texture 203
attributes, and acceptance scores. P-values and adjusted R square values are presented. Difference in 204
acceptance was examined between the two groups with homogeneity-of–slopes model. 5% 205
significance level was used throughout the analyses. Means and 95% confident limits of means are 206
presented. 207
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3. Results and Discussion 209
3.1. Composition and particle size distribution 210
Great differences in the composition of the flour and in the composition the pasta products 211
were revealed (Table 2). It can be observed that ARF has two times higher protein, four times higher 212
crude fat, total dietary fibre, and greatly higher ash and crude fibre content than WPF. Soluble dietary 213
fibre of ARF proved to be similar to that of WPF. The available carbohydrate content of ARF is lower 214
by 35 g/100g than that of WPF. 215
The high protein content of ARF can originate from the germ, from the aleurone-layer and/or 216
from the subaleurone cells, as these are the anatomical parts of the wheat kernel that possess 217
outstandingly high protein content (Bechtel, Abecassis, Shewry, & Evers, 2009; Brouns et al., 2012) . 218
As the germ is removed in the applied industrial process, we strongly assume that ARF is rich in 219
aleurone layer and/or in subaleurone cells. It has to be noted that the process does not produce entirely 220
concentrated ARF but is optimized according to the manufacturer’s requirements. This can be seen in 221
the dietary fibre content of ARF, which falls short of the dietary fibre content of pure aleurone layer 222
(44-50 g/100g) (Amrein, Gränicher, Arrigoni, & Amadò, 2003). To explore the proportion of different 223
grain tissues in ARF, carrying out biochemical marker analysis (Hemery et al., 2009) would be 224
expedient. 225
Differences in chemical composition between ARF and WPF are mirrored in pasta products as 226
well (Table 2). AP possesses higher protein, crude fat, ash, crude fibre, and total dietary fibre content 227
than CP, while the available carbohydrate content of AP is largely lower than that of CP. Compared to 228
wholemeal spaghetti (FoodStandardAgency, 2002) AP has more than two times higher protein and 229
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dietary fibre content, and 10 g/ 100g lower available carbohydrate content, which refers to a healthier 230
product (Table 2). 231
ARF contains considerably higher amount of particles in the small particle-size region (0-150 232
µm) than WPF (Fig.1). The particle size of ARF is similar to conventional wheat flour; the majority of 233
the particles (about 85 g/ 100g) have a size below 150 µm. The coarse particle-size distribution of 234
WPF is obvious; below 150 µm only 4 g/100g of its particles can be found. 235
236
3.2. Effect of ARF addition on cooking quality 237
Results of cooking experiments are presented on Fig.2. Water uptake decreased significantly 238
(p =0.000, r2=0.92) with growing amount of ARF. This value was 171.1 g water / 100 g pasta at CP, 239
and was 127.1 g water/100 g pasta at AP on average. This tendency is similar to the generally reported 240
effect of wheat bran addition (see 1. Introduction). The physical-chemical background of this 241
phenomenon is probably related to the decreased available carbohydrate (mainly starch) and the 242
increased fibre content. In case of AP high protein and fat content can also play a role (see discussion 243
in 3.6). 244
Pure AP and CP showed 2.12 g/100 g and 2.55 g/100 g cooking loss, respectively. Although 245
these values significantly differ (p=0.001), considering the results of blend flour it can be concluded 246
that ARF addition did not result in obvious increase of this value (p=0.95). This result indicates that 247
ARF addition does not cause poorer pasta quality with respect to cooking loss. It also shows that ARF 248
addition results in better pasta quality than wheat bran or whole wheat flour incorporation, where 249
considerable increase of cooking loss was reported (see 1. Introduction). This difference might be 250
derived from the high protein content, high fat content, and from the carbohydrate composition of 251
ARF (see discussion in 3.6). In addition, in the present paper we added egg powder to pasta, which can 252
also cause different cooking behaviour at fibre addition than it was observed earlier at non-egg-253
containing pasta. 254
255
3.3. Effect of ARF addition on textural properties 256
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All results of texture analyses are presented on Fig.2. Addition of ARF resulted in sharply 257
defined linear increase in cooked pasta firmness (p<0.001; r2=0.81). It is an opposite effect than it was 258
generally reported in case of wheat bran or whole-grain flour addition (see 1. Introduction). We 259
assume that the particular compositional traits, namely high protein, high fat content, and the 260
carbohydrate composition of ARF are primarily responsible for this behaviour (see discussion in 3.6.). 261
Furthermore, egg content of pasta can affect this behaviour as well. It has to be noted that Shiau et al. 262
(2012) also reported increasing cutting force, examining wheat flour made pasta with addition of 263
wheat bran and purified wheat fibre. However, it is unclear whether similar mechanisms, as those 264
operating in our experiments, are responsible for the increase of firmness in their results. 265
Addition of ARF resulted in significant linear increase of adhesiveness values (p<0.00; 266
r2=0.54), that refers to lower stickiness. In case of wheat bran addition Chen et al., (2011) reported 267
similar behaviour. Decreased stickiness might primarily result due to the reduction of available 268
carbohydrates (especially starch), which contributes to lower amount of leaching material. This 269
suggestion is in accordance with the explanation of Aravind et al. (2012). Similarly to firmness, high 270
protein and fat content might also play a key role in decreased stickiness (see discussion in 3.6.). 271
Tensile strength showed significant linear increase (p<0.00; r2=0.35) with growing amount of 272
ARF, while no significant effect (p=0.06) was observed in case of extensibility. This latter result 273
shows that ARF addition to pasta has less negative effect on the formation of gluten network than 274
wheat fibre or wheat bran addition, which causes reduced extensibility (Shiau et al., 2012). 275
276
3.4. Effect of ARF addition on pasta acceptance 277
All results of hybrid hedonic tests meet the requirements of regression models as also indicated by 278
Villanueva & Da Silva (2009). Acceptance scores of pasta are presented on Table3. No significant 279
changes were found in the liking of appearance, colour, and odour (p=0.31, 0.15, 0.69), while liking 280
scores of texture, flavour, and overall acceptance showed significant negative connection (p<0.01; 281
r2=0.02, 0.11, 0.08) with the amount of ARF. All samples were given higher linking scores than 50 in 282
an average, which indicates that assessors judged the AP products to be better than neutral. 283
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The number of assessors who answered that they regularly buy non-conventional pasta is 32; 284
while 28 assessors answered that they never buy non-conventional products. Regarding every property 285
the regression line of "non-conventional pasta buyer" group showed higher slope value than the 286
corresponding regression line of "conventional pasta buyer" group, which refers to higher acceptance 287
of AP. Significant difference in the regression slopes across the groups was found regarding 288
appearance, colour, and overall acceptance (p=0.01, 0.04, 0.04). The effect of the two groups on 289
overall acceptance is illustrated on Fig.3. This result corresponds to the findings of Kordonowy & 290
Youngs, (1985), who presented that higher acceptiblity of bran added pasta is related to brown bread 291
preference. 292
The results of acceptance tests are in accordance with the results of earlier studies, where it 293
was also concluded that pasta acceptance decreased with wheat bran incorporation (Aravind et al., 294
2012; Chen et al., 2011; Kaur et al., 2011; Kordonowy & Youngs, 1985). 295
296
3.5. Sensory profile of pasta products 297
Qualitative differences between the sensory profile of cooked AP and CP were revealed 298
(Fig.4). Significant differences (p<0.001) were found between the two samples in every examined 299
property apart from evenness (p=0.07). AP proved to be darker (browner) and more intense in colour, 300
with lower homogeneity of colour than CP. AP has higher global taste intensity and has significantly 301
more intense bitter and sour taste than CP. From a textural point of view AP is firmer, less extensible, 302
less sticky, and looser during chewing (higher “disintegration during chewing” value) than CP. These 303
results are in accordance with the results of instrumental texture analysis. Both measurements showed 304
that AP is firmer and less sticky (adhesiveness values showed uptrend) than CP. Instrumental 305
extensibility measurement showed that AP is not more extensible in the strict sense but has higher 306
tensile strength than CP. In the author’s opinion this latter property was reflected in sensory profile as 307
low extensiblity. 308
Our results are in accordance with earlier studies (Aravind et al., 2012; West et al., 2013), in 309
which it was concluded that wheat bran addition resulted in darker product that has considerably 310
different flavour. 311
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312
3.6. Relationship between compositional traits of ARF and AP quality 313
In earlier publications it was shown that wheat fibre incorporation resulted in low pasta quality 314
compared to conventionally consumed pasta: decreased firmness and higher cooking loss was 315
reported. These properties are generally explained with bran particles disrupting the gluten matrix 316
(Aravind et al., 2012; Manthey & Schorno, 2002). AP showed opposite behaviour in these respects 317
(higher firmness and not increasing cooking loss), although it contains high amount of fibre. This 318
indicates that other factors compensated the adverse effects of fibre inclusion. We suppose that the 319
particular composition of ARF is primarily associated with this phenomenon. Hereinafter we look 320
through the properties of ARF that could contribute to the observed behaviour. 321
High protein content (26.67 g/100 g) of ARF is the most crucial difference between the 322
composition of ARF and wheat bran fraction or whole-grain flour. Based on the results of earlier 323
studies we assume that high protein content is responsible for higher firmness (Del Nobile, Baiano, 324
Conte, & Mocci, 2005; Petitot, Boyer, Minier, & Micard, 2010; Sissons, Egan, & Gianibelli, 2005) 325
and lower stickiness (Del Nobile et al., 2005; Sissons et al., 2005) of AP compared to CP. High 326
protein content might also be related to lower water uptake (Petitot et al., 2010) and might also have 327
an influence on cooking loss (Malcolmson, Matsuo, & Balshaw, 1993). Besides, protein profile of the 328
aleurone layer probably also has an importance in the functionality of ARF. During conventional 329
milling aleurone-specific non-gluten proteins (proteins involved in metabolism, defence enzymes, 330
inhibitors, globulin-like proteins) (Jerkovic et al., 2010) are removed and therefore are not important 331
in determining quality properties (Lafiandra et al., 2012). Since ARF is likely to be enriched in 332
aleurone layer (see 3.1) these proteins might have a relevant role in the quality of AP. The end-333
product-related effects of these proteins have not been studied yet. 334
In addition to the protein profile, the carbohydrate composition of ARF can also play an 335
important role in the behaviour of AP (Tömösközi et al., 2012). While other parts of the bran consist 336
of large quantities of cellulose, the main carbohydrates of the aleurone layer are pentosans, mostly 337
arabinoxylans (Brouns et al., 2010). This difference can result in dissimilar behaviour between ARF 338
and other high-fibre containing milling products, since arabinoxylans are more reactive dough 339
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constituents than cellulose: arabinoxylans are known to affect the rheological properties of wheat 340
dough (Lafiandra et al., 2012) by means of interacting with the gluten system through ferulic-acid 341
monomers (Noort, van Haaster, Hemery, Schols, & Hamer, 2010). 342
Based on earlier studies (Aravind et al., 2012; Grant, Dick, & Shelton, 1993; Matsuo, Dexter, 343
Boudreau, & Daun, 1986) it can be supposed, that the relatively high crude fat content (4.26 g/100 g) 344
of ARF contributes to higher firmness, lower stickiness, and not increasing cooking loss of AP 345
compared to CP. The presumed theory behind this phenomenon is that high amount of fat material 346
reduces starch granule disruption by means of binding to the granules, ensuring a firm starch gel in the 347
pasta and so resulting in a firmer product. Furthermore, reduced starch granule disruption might also 348
lead to a reduction of solid material leaching, in this manner contributing to lower cooking loss and 349
stickiness (Aravind et al., 2012). That in case of ARF we measured considerably higher crude fat 350
content than in case of AP (Table2) shows that remarkable lipid binding occurred during pasta 351
processing. This theory could be confirmed by further investigation of fat content, with particular 352
respect to bound lipids. Furthermore, high fat content of ARF might also contribute to lower water 353
uptake, as Grant et al. (1993) found that added lipid components, namely monoglycerides, resulted in 354
decreased cooked weight. The hydrophobic properties of lipid components might also play a role in 355
this behaviour. 356
Another essential aspect can be the fine particle size of ARF. It probably also be of importance 357
in the increasing firmness and reduced stickiness through enhancing the binding of available amylose 358
(Chen et al., 2011; Grant et al., 1993). 359
360
4. Conclusions 361
ARF is promising in value-added food production due to its high dietary fibre content. Although 362
consumer acceptance decreased with ARF addition, cooking and textural characterisation of pasta 363
showed that ARF addition does not lead to poor quality characteristics that are generally observed in 364
case of fibre addition. According to our assumptions this behaviour is caused by the particular 365
properties of ARF: high protein content, high fat content, and fine particle size of ARF might 366
contribute to processes that compensate the negative effects of fibre incorporation. The protein profile 367
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and carbohydrate composition of the aleurone layer can also have importance. Based on these results 368
we suppose that ARF is more applicable in value-added pasta production than wheat bran fractions or 369
whole-grain flour. These deductions need confirmatory studies, especially working with other pasta 370
types and with other pasta making procedures. 371
372
5. Acknowledgements 373
This work is connected to the scientific projects of "Health Promotion and Tradition: Development of 374
raw materials, functional foods and technologies in cereal-based food chain" (TECH_08_A3/2-2008-375
0425) and "Development of quality oriented, harmonized educational and R+D+I strategy and 376
operational model at the Budapest University of Technology and Economics" (TÁMOP-4.2.1/B-377
09/1/KMR-2010-0002)". 378
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Tables 485
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Table1 Attributes and descriptive terms of profile analysis of AP (aleurone-rich flour made pasta), and CP (conventional pasta).
Attribute Weak end point Intense end point appearance hue white brown homogeneity of colour heterogenic homogeneous evenness wavy even colour intensity weak intense odour bitter odour weak intense texture firmness elastic firm extensibility poorly extensible very extensible disintegration during chewing cohere loose stickiness not sticky very sticky taste global taste intensity weak intense bitter taste intensity weak intense sour taste intensity weak intense
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Table2
Composition of WPF (wheat pasta flour), ARF (aleurone-rich flour), CP (conventional pasta), AP (aleurone-rich flour made pasta), and literary data of wholemeal spaghetti. Means of duplicate measurements and 95% confidence interval of means are presented.
WPF
(g/100g) ARF (g/100g)
CP, cooked (g/100 g portion)
AP, cooked (g/100 g portion)
Wholemeal spaghettia
(g/100g)
Water - - 68.2 62.9 69.1
Protein 13.04 ± 0.14 26.67 ± 0.18 4.92 ± 0.01 12.72 ± 0.05 4.7
Crude fat 0.36 ± 0.02 4.26 ± 0.09 0.0 0.52 ± 0.04 0.9
Crude fibre 0.22 ± 0.06 5.04 ± 0.29 0.11 ± 0.02 2.18 ± 0.42 n.a.*
Ash 0.22 ± 0.05 3.83 ± 0.03 0.71 ± 0.06 1.83 ± 0.01 n.a.*
Total dietary fibre 3.77 ± 0.15 17.59 ± 0.51 1.70 ± 0.06 7.76 ± 0.58 3.5
Soluble dietary fibre
1.40 ± 0.01 1.42 ±.0.93 0.54 ± 0.03 1.09 ± 0.10 n.a.*
Insoluble dietary fibre
2.37 ± 0.14 16.17 ± 0.42 1.16 ± 0.04 6.67 ± 0.08 n.a.*
Available carbohydrate**
82.6 47.65 24.47 13.59 23.2 aFoodStandardAgency 2002, *not available, **calculated
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Table3 Effect of ARF (aleurone-rich flour) addition on pasta acceptance regarding different properties. Means of 60 tests and 95 % confidence interval of means are presented. ARF content
(g/100 g) Appearance Colour Odour Texture* Flavour*
Overall acceptance*
0 76,3 ± 7.9 77,4 ± 8.2 70,3 ± 8.4 75,6 ± 8.0 85,8 ± 6.7 79,3 ± 7.6
15 74,8 ± 6.3 77,9 ± 6.6 76,2 ± 6.4 79,4 ± 6.5 80,8 ± 5.6 79,1 ± 6.5
40 75,9 ± 5.0 76,6 ± 5.2 75,2 ± 6.8 71,9 ± 6.2 74,8 ± 6.5 70,6 ± 7.5
75 71,3 ± 6.3 71,8 ± 6.8 74,5 ± 7.5 68,3 ± 7.6 62,8 ± 7.7 59,6 ± 8.3
100 73,2 ± 6.1 73,2 ± 6.9 74,2 ± 7.8 66,8 ± 7.2 61,7 ± 7.7 59,8 ± 8.0
*significant effect of ARF addition (p<0.05)
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Figure captions 494
Fig.1. Particle size distribution of ARF (aleurone-rich flour) ( ), WPF (wheat pasta flour) (495
) and wheat flour ( ). Means of triplicates and 95 % confidence interval of means are 496
presented. 497
Fig.2. Effect of ARF (aleurone-rich flour) addition on water uptake, cooking loss, firmness, 498
adhesiveness, tensile strength, and extensibility of pasta. Means of quadruplets, 95 % 499
confidence interval of means, and linear regression lines are presented. 500
Fig.3. Effect of ARF (aleurone-rich flour) addition on overall acceptance of pasta regarding 501
“non-conventional pasta buyer” ( ) and “conventional pasta buyer” ( ) consumer groups. 502
Means and 95% confidence interval of means, and linear regression lines are presented. 503
Fig.4. Sensory profile of AP (aleurone-rich flour made pasta) ( ) and CP (conventional 504
pasta) ( ). Means of 12 tests are presented. 505
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Figures 506
Fig. 1. 507
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Fig.3. 513
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Fig.4. 515
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EFFECT OF ALEURONE-RICH FLOUR ON COMPOSITION,
COOKING, TEXTURAL AND SENSORY PROPERTIES OF
PASTA - HIGHLIGHTS
• The major chemical composition of an aleurone-rich flour made pasta is presented • We confirm that the basic material is concentrated in wheat aleurone layer • Cooking and textural properties of aleurone-rich flour made pasta is reported • Results of sensory profiling and acceptance tests are presented and explained
• Pasta properties are explained with compositional traits of aleurone-rich flour