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ISSN 1313 - 8820 (print) ISSN 1314 - 412X (online) Volume 9, Number 3 September 2017

2017

Editor-in-Chief

Tsanko Yablanski (Bulgaria) Atanas Atanasov (Bulgaria) Svetlana Georgieva (Bulgaria) Nikolay Tsenov (Bulgaria) Max Rothschild (USA) Ihsan Soysal (Turkey) Horia Grosu (Romania) Stoicho Metodiev (Bulgaria) Bojin Bojinov (Bulgaria)

Scope and policy of the journal Agricultural Science and Technology /AST/ – an International Scientific Journal of Agricultural and Technology Sciences is published in English in one volume of 4 issues per year, as a printed journal and in electronic form. The policy of the journal is to publish original papers, reviews and short communications covering the aspects of agriculture related with life sciences and modern technologies. It will offer opportunities to address the global needs relating to food and environment, health, exploit the technology to provide innovative products and sustainable development. Papers will be considered in aspects of both fundamental and applied science in the areas of Genetics and Breeding, Nutrition and Physiology, Production Systems, Agriculture and Environment and Product Quality and Safety. Other categories closely related to the above topics could be considered by the editors. The detailed information of the journal is available at the website. Proceedings of scientific meetings and conference reports will be considered for special issues.

Nutrition and Physiology

Submission of Manuscripts

Georgi Petkov Faculty of Agriculture Trakia University, Stara Zagora Bulgaria E-mail: [email protected] Co-Editor-in-Chief Dimitar Panayotov Faculty of Agriculture Trakia University, Stara Zagora Bulgaria Editors and Sections Genetics and Breeding

Nikolai Todorov (Bulgaria) Peter Surai (UK) Ivan Varlyakov (Bulgaria) George Zervas (Greece) Vasil Pirgozliev (UK) Production Systems Radoslav Slavov (Bulgaria) Dimitar Pavlov (Bulgaria) Bogdan Szostak (Poland) Banko Banev (Bulgaria) Georgy Zhelyazkov (Bulgaria) Agriculture and Environment Martin Banov (Bulgaria) Peter Cornish (Australia) Vladislav Popov (Bulgaria) Tarek Moussa (Egypt) Product Quality and Safety Stefan Denev (Bulgaria) Vasil Atanasov (Bulgaria) Roumiana Tsenkova (Japan) English Editor Yanka Ivanova (Bulgaria)

There are no submission / handling / publication charges. All manuscripts written in English should be submitted as MS-Word file attachments via e-mail to [email protected]. Manuscripts must be prepared strictly in accordance with the detailed instructions for authors at the website www.agriscitech.eu and the instructions on the last page of the journal. For each manuscript the signatures of all authors are needed confirming their consent to publish it and to nominate on author for correspondence. They have to be presented by a submission letter signed by all authors. The form of the submission letter is available upon from request from the Technical Assistance or could be downloaded from the website of the journal. Manuscripts submitted to this journal are considered if they have submitted only to it, they have not been published already, nor are they under consideration for publication in press elsewhere. All manuscripts are subject to

editorial review and the editors reserve the right to improve style and return the paper for rewriting to the authors, if necessary. The editorial board reserves rights to reject manuscripts based on priorities and space availability in the journal. The journal is committed to respect high standards of ethics in the editing and reviewing process and malpractice statement. Commitments of authors related to authorship are also very important for a high standard of ethics and publishing. We follow closely the Committee on Publication Ethics (COPE), http://publicationethics.org/resources/guid elines The articles appearing in this journal are indexed and abstracted in: DOI, EBSCO Publishing Inc., AGRIS (FAO) and DOAJ. The journal is accepted to be indexed with the support of a project № BG051PO0013.3.05-0001 “Science and business” financed by Operational Programme “Human Resources Development” of EU. The title has been suggested to be included in SCOPUS (Elsevier) and Electronic Journals Submission Form (Thomson Reuters). The journal is freely available without charge to the user or his/her institution. Users can read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This issue is printed with the financial support by Contract No DNP 0521/20.12.2016, financed from Fund 'Scientific Research' grant Bulgarian scientific Periodicals. Address of Editorial office: Agricultural Science and Technology Faculty of Agriculture, Trakia University Student's campus, 6000 Stara Zagora Bulgaria Telephone: +359 42 699330 +359 42 699446 www.agriscitech.eu Technical Assistance: Nely Tsvetanova Telephone: +359 42 699446 E-mail: [email protected]

Volume 9, Number 3 September 2017

ISSN 1313 - 8820 (print) ISSN 1314 - 412X (online)

2017

AGRICULTURAL SCIENCE AND TECHNOLOGY, VOL. 9, No 3, pp 251 - 256, 2017 DOI: 10.15547/ast.2017.03.047

Sensory and instrumental texture analysis of Bulgarian commercial pates M. Tonchev1, T. Atanasov1, A. Todorova1, Ts. Atanasova1, N. Shtrankova1, M. Momchilova2 G. Zsivanovits2 1

University of Food Technologies (UFT), 4000 Plovdiv, Bulgaria

2

Food Research and Development Institute (FoodRDI), 4003 Plovdiv, Bulgaria

(Manuscript received 2 June 2017; accepted for publication 22 August 2017) Abstract. The aim of this study was to characterize the textural differences between Bulgarian commercial pates with different ingredients and to adapt the used methods for later application in texture analysis of sterilized meat products. Texture parameters were studied by sensory and instrumental methods. The sensory panel was stated from students in similar age and was asked to fulfill a questionnaire about their likening the poultry pates bought from the commercial network. Nine points sensory scales were used, about appearance, colour, spreadability by knife to bread, flavor, consistency, taste, aftertaste and overall likening. The panelists were asked to rank the pates based on their colour, spreadability and consistency. Instrumental texture parameters – texture profile and spreadability work, were analyzed by Stable Micro Systems texture analyzer in Texture Profile Analysis (TPA) and compression methods. For further analysis of spreadability, the probes were scanned by flatbed scanner before and after compression and their area ratio was measured by image analysis method. The results of sensory analysis show that, the pate with duck meat received the highest liking based on the overall liking, followed by pate with turkey meat and pate from chicken meat and liver and the lowest liked was the pate with goose meat. Based on the sensory spreadability and consistency the hardest was the pate with goose meat followed by pate with turkey meat and pate from chicken meat and liver and the softest was the pate with duck meat. The results from instrumental spreadability and hardness showed positive correlations with the results of the sensory analysis.

Keywords: pate, sensory analysis, texture, spreadability

Introduction Recent studies have shown a relationship between mechanical testing of pates, called Texture Profile Analysis (TPA), and the sensory texture analysis of pates. The liver pate is a cooked traditionally desirable product by consumers in Europe (Santos et al., 2003; Estevèz et al., 2005), which has good taste and sensory qualities (Echarte et al., 2004; Vossen et al., 2012). It forms part of the gastronomic culture in some countries (Domínguez, 2016). The Liver pate is unreal emulsion, which quality linked to good mixing of fat, water and soluble protein (Sarantopoulos et al., 1990). The fat in pate is responsible for the product spreadability. Products with high fat content have a fine texture and are more spreadable but with less stability in the emulsion. The reduction of the fat amount in meat products leads to an increase hardness and consistency, this problem is solved by increasing amount of added water (Claus et al., 1990). To add water, hot broth is used to help the homogenization (Totosaus and Pérez-Chabela, 2006). Jiménez et al. (2010) explained that the fat plays an important role in the quality characteristics of the emulsion meat products, which mainly affects the texture, mouth feel and ability to extend of the product. The meat emulsion is a biphasic system, formed by the solid dispersing in a liquid in which the solid is not miscible. The milk protein improves the emulsification and enhance the flavour. The liver proteins act like emulsifying agents as well. The relatively high fat content of pate products cause some negative health issues like obesity or hypertension (Lin Chen et al., 2015). Therefore reformulation of these products by fat replacers and plant origin fibers is desirable aim in the industry (Domínguez et al., 2016). The emulsification and stabilization of these compounds is a challenge for meat industry. To study the effect on texture of

these ingredients the traditional texture profile analysis should be extended with some other methods, which can measure the spreadability, gumminess, adhesiveness and particle distribution in semi-solid products. For example, the inulin is usually used like dietary fiber showing excellent properties as a carbohydrate-based fat substitute in relation to its ability to increase viscosity, form gels, provide mouthfeel and texture and increase water-holding capacity and thus presenting a good application potential in various food product formulations (Öztürk and Serdaroğlu, 2017). The aim of this study was to characterize the textural differences between the pates with different ingredients and to adapt the used methods for later application in texture analysis (instrumental and sensory methods) for sterilized meat products.

Material and methods Subject of study Four commercial pates from the same trade mark, which were produced by the same manufacturer, were investigated - Chicken pate, Turkey pate, Duck pate and Goose pate. The Table 1 shows the ingredients of the studied pates. Based on the table the pates are chicken pates with added meat content from turkey, duck and goose. In the description of the results the commercial names were used. Based on the labels of the pates the nutrition values are shown in Table 2. Instrumental texture analysis a) TPA measures such parameters as hardness, adhesiveness, cohesiveness and force to spreading. These tests quantify the texture of the pates, and they also evaluate the consistency of the manufacturing processes. The purpose of this test was to perform

* e-mail: [email protected]

251

Table 1. Ingredients of the tested pates, based on the commercial labels

Chicken pate Mechanically separated chicken meat Chicken liver Duck hearts meat Goose hearts meat Turkey meat Mechanically separated goose meat Pork lard

Turkey pate

18% 9%

21% 9%

Duck pate

Goose pate

24% 11% 1.4%

18% 10.5% 1.4%

2.5% 6% 7%

Table 2. Nutrition value of 100g product

Energy vale Fat Saturated fat Carbohydrates Added sugar Protein Salt

10

1

Chicken pate

Turkey pate

Duck pate

Goose pate

684KJ/165kcal 13.0g 4.9g 3.6g 0.8g 7.4g 1.3g

580KJ/139kcal 9.5g 3.4g 5.8g 0.9g 7.4g 1.4g

545KJ/131kcal 8.1g 2.6g 6.2g 0.8g 8.0g 1.3g

631kJ/152kcal 11.0g 3.6g 5.3g 0.8g 7.4g 1.3g

23

4

56 Hardness 2

9 8 7 Hardness 1

Force, N

6 5 4 3 2 1 0 Time, s Figure 1. Texture profile analysis (TPA) of pates

TPA on the 4 different poultry pates. A cylindrical glass (d1 = 29.7 mm) was filled with the pates up to constant volume (h = 25 mm, v = 17320 mm3) and compressed twice by a cylindrical probe (d2 = 25 mm) in concentrically layout. The deformation was set to 5 mm in the first and 10 mm in the second compression. The deformation speed was 1 mm/s (Figure 1). Similar TPA method and calculations were used by Serdaroğlu et al. (2016). 252

The texture parameters that were determined by the TPA method are evaluated as follows: 1. Hardness: 1st peak force (N). 2. Cohesiveness: C = W2 / W1

(1)

where W1 and W2 are the deformation work from the first and second peak.

Before loading to spread

After loading to spread

Figure 2. Method of the investigation of spreadability based scanned pictures

b) Spreadability test: To test the spreadability a small (constant) amount pate was compressed between parallel plates (Area plate >>Area pate ) and the pate's areas before and after compression were measured based on scanned pictures (Figure 2) The spreadability was calculated from the ratio between of the areas: 3.00

Spreadability = A2 / A1

(2)

Work to spreading is calculated based on the force-deformation curves, up to 6 mm deformation. The deformation speed was 1 mm/s (Figure 3).

1

2

2.50

Force, N

2.00

1.50

1.00

0.50

0.00 0

2

6

4

8

10

Distance, mm Figure 3. Spreadability test by texture analyzer (Work to spreading)

Sensory analysis The pates were tested by a sensory panel of 5 students for likeness of their appearance, colour, spreadability by knife, flavour, consistency (filling of spreadability in the mouth, taste, aftertaste and overall liking. The colour intensity, the spreadability and the consistency were ranked by the panel also (ISO 1036, 1994).

To discover where there were significant differences between the levels of the main factor, contrasts (Tukey test) between means were made.

Statistical analysis Each parameter was tested in triplicate. Statistical analysis (ANOVA) was applied to the data to determine differences (P < 0.05).

The results of instrumental texture analysis are presented in Table 3 and Figure 4. The hardness, which is expressed as 1st peak force of the TPA test, is the highest for the duck, followed by goose

Results and discussion

253

much lower (Estévez et al., 2005; Sănduleac et al., 2015). The result for the spreadability shows that the most spreadable pates are the goose and duck pate, followed by turkey and the less in spreadability is the chicken pate. That means the increasing of covered sample area is the highest for goose pate and the smallest for the chicken pate. There are no differences between the goose and duck pates. There are small differences between the turkey and chicken pates. The smallest in work to spreading is the chicken pate followed by duck and goose pates and the highest value was detected for turkey pate (Table 3). The texture differences may also be explained by the meat content, chicken pate has the smallest meat content and the duck and goose pates have the highest (Table 2).

and chicken and the softest is the turkey pate. There are significant differences between chicken and duck pates, between turkey and duck pates, but there is not between chicken and turkey. Between duck and goose pates and also between chicken and goose or turkey and goose pates the differences are near to significant. These instrumental results can be explained based on the ingredients of the pates. The chicken pate has the highest fat content and the duck has the highest protein content. This is consisted with the results of more authors (Estévez et al., 2005; Sănduleac et al., 2015) who found that increased concentration of fat in pâtés samples leads to a lower value of hardness and vice versa. The turkey pate shows highest cohesiveness like the others. The found correlation between the cohesiveness and fat content is Table 3. The results of the instrumental texture profile analysis

Hardness Chicken Turkey Duck Goose a–c

Cohesiveness

a

Spreadability

a

3.12±1.05 2.93±0.85a 5.67±0.53b 4.76±1.34ab

Work to spread

a

5.49±0.16 8.40±0.49b 4.49±1.73a 4.93±1.05a

1.55±0.17a 3.17±0.05c 2.34±0.37ab 2.56±0.49bc

1.23±0.05 1.35±0.04a 2.10±0.05b 2.02±0.09b

Note: Mean ± standard error values with no common superscript in the same column are significantly different (p < 0.05)

7

10

3

4

9 6 8 3 7

3

6 5 4

2

1

3

2

Work to spreading

4

2 Spreadability

Cohesiveness

1st Peak Force, N

5

1 2

1 1

Goose

Duck

Turkey

Chiken

Goose

Duck

Turkey

0 Chiken

Goose

Duck

Turkey

0 Chiken

Goose

Duck

Turkey

0 Chiken

0

Figure 4. Hardness, Cohesiveness, Spreadabillity and Work to spreading

Sensory analysis Based on the overall likeness test the duck pate was the most liked, followed by goose, turkey pates and the lowest likeness had the chicken pate (Figure 5). The colour intensity shown the darkest was the duck pate followed by goose, turkey pates and the brightest was the chicken pate. It is agreed with the result of Estévez et al. (2005) which explain the effect of fat content on the colour intensity and shows correlation between lightness and the fat content. 254

The spreadability ranking shows similar hardship for goose and duck followed by turkey pate and the chicken pate was the easiest for spreading. The rank-test for consistency shows the hardest was the goose followed by duck, turkey pates and the chicken pate was the softest (Table 4). The received results for the sensory analysis also can be explained based on the ingredients and nutritional values of these pates. The most liked duck pate contain the most meat. The duck

Table 4. The results of the sensory analysis

Type Chicken Turkey Duck Goose a–c

Appearance

Colour

a

Spreadability a

4.75±0.25 4.88±0.13a 6.38±0.38c 5.50±0.25b

4.25±0.25 5.00±1.00ab 6.75±0.15c 5.75±0.25b

Flavour

b

Consistency a

7.00±0.25 6.38±0.38ab 6.75±0.50b 5.75±0.15a

a

4.25±0.10 4.50±0.50a 5.25±0.50b 4.25±0.25a

5.67±0.34 6.13±0.38ab 6.63±0.63b 5.75±0.38a

Overal liking 5.25±0.30a 5.38±0.38a 6.38±0.38b 5.25±0.25a

Note: Mean ± standard error values with no common superscript in the same column are significantly different (p < 0.05)

Appearance 9

Aftertaste

6

Colour

3

0 Spreadability Taste

Flavour

Consistency

Chicken Turkey Duck Goose

Figure 5. Sensory profile of the pates

and goose pate is harder than the chicken and turkey pates, because of the added heart meat and highest meat content. The softness of the chicken pate is caused by the highest fat content (Estévez et al., 2005; Sănduleac et al., 2015).

Conclusion The most liked duck and goose pate have the highest amount meat and these are much harder than the chicken and turkey pates. The goose pate has smaller hardness, probably compensated by the content of mechanically separated goose meat. The chicken pate is the softest, because has the highest fat content.

Acknowledgement The study was supported by the Project "Student Practices Phase 1" "Education and Lifelong Learning" of the "Intelligent Growth Science and Education".

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percentage and liver type in the stability and pH value of locally prepared Liver pate. International Food Research Journal, 23, 11311135. ISO 1036, 1994. Sensory analysis. Methodology. Texture profile. International Organization for Standardization, Genève, Switzerland. Jiménez CF, Cofrades S, López-López I, Ruiz-Capillas C, Pintado T and Solas MT, 2010. Technological and sensory characteristics of reduced/low-fat, lowsalt frankfurters as affected by the addition of konjac and seaweed. Journal of Meat Science, 84, 356-363. Lin Chen, Peng Wang, Zhuang-Li Kang, Ke Li, Chong Xie, JingXin Sun and Xing-Lian Xu, 2015. Effect of soybean oil emulsified and unemulsified with chicken plasma protein on the physicochemical properties of frankfurters, CyTA - Journal of Food, 13, 445-455, DOI: 10.1080/19476337.2014.998291. Öztürk B and Serdaroğlu M, 2017. A rising star prebiotic dietary fiber: Inulin and recent applications in meat products. Journal of Food and Health Science, 3, 12-20. Santos EM, Gonzales-Fernandez C, Jaime I and Rovira J, 2003. Physico-chemical and sensory characterisation of Morcilla de Burgos, traditional Spanish blood sausage. Journal of Meat Science, 65, 893-898.

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AGRICULTURAL SCIENCE AND TECHNOLOGY, VOL. 9, No 3, 2017

CONTENTS

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Reviews Problems and achievements of cotton (Gossypium Hirsutum L.) weeds control T. Barakova, G. Delchev

179

Achievements and problems in the weed control in grain sorghum (Sorghum Bicolor Moench.) G. Delchev, M. Georgiev

185

Genetics and Breeding Parthenogenetic responsiveness of sunflower hybrid combinations with expressed tolerance to herbicides M. Drumeva, P. Yankov

190

In vitro propagation of oil-bearing rose (Rosa damascena Mill.) V. Badzhelova

194

Nutrition and Physiology Variation in the chemical composition and physical characteristics of grain from winter barley varieties B. Dyulgerova, N. Dyulgerov, D. Dimova

198

Haematological and serum biochemical indices of broiler chickens fed raw sickle pod (Senna obtusifolia) seed meal C. Augustine, I.D. Kwari, J.U. Igwebuike, S.B. Adamu

203

Prey size selectivity of pikeperch (Sander Lucioperca L.) fed with topmouth gudgeon (Pseudorasbora Parva Temminck & Schlegel) M. Gevezova-Kazakova, M. Yankova, T. Hubenova, A. Zaikov, G. Rusenov

209

Influence of organic nitrogen amendment, containing amino acids on the cellulase and xylanase, produced by Trichoderma spp. isolates D. Draganova, I. Valcheva, Y. Kuzmanova, M. Naydenov

213

Production Systems Justification of a method for determining the moment for switching on the level one signaling of filled 218 grain harvester hoppers G. Tihanov, B. Kolev, K. Trendafilov, N. Delchev, Y. Stoyanov Mathematical approaches for assessment and classification of the European Union member states based on the average yield of vegetables for the period 1961-2014 N. Keranova

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CONTENTS

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Present status of Zymoseptoria tritici (Mycospharella graminicola /Fuckel/ Schroter) of the wheat cultures in the Republic of Macedonia I. Karov, E. Arsov

227

Agriculture and Environment Influence of basic agrotechnical activities on the productivity and yield of Triticum monococcum L. S. Stamatov, K. Uzundzhalieva, E. Valchinova, G. Desheva, P. Chavdarov, B. Kyosev, T. Cholakov, R. Ruseva, N. Velcheva

230

Avifauna abundance and diversity in Jos wildlife park, Nigeria B.T. Kwaga, D. Iliya, A. Ali, D. Khobe

234

Ecological analysis of the flora in the 'Chinarite' protected area - Rodopi municipality, Bulgaria L. Dospatliev, M. Lacheva

240

Product Quality and Safety Food emulsions with amidated pectin from celery (Apium graveolens var. rapaceum D. C.) tubers Iv. Petrova, N. Petkova, M. Ognyanov, Ap. Simitchiev, M. Todorova, P. Denev

246

Sensory and instrumental texture analysis of Bulgarian commercial pates M. Tonchev, T. Atanasov, A. Todorova, Ts. Atanasova, N. Shtrankova, M. Momchilova G. Zsivanovits

251

Short Communication Influence of elevated platform (wire-mesh or wooden) in the cage on domestic rabbit (Oryctolagus cuniculus) activity S. Peeva, E. Raichev, D. Georgiev, A. Stefanov

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