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Influence of the type of packaging on textural properties of minimally processed yellow Peruvian roots1 Part of the Master's dissertation of the first author. Work funded by CNPq.

Influência do tipo de embalagem sobre as propriedades texturais de batatas baroa minimamente processadas

ABSTRACT

The textural properties of minimally processed products indicate its quality, and the package is fundamental to maintain the conservation of these foods. The aim of this study was to evaluate texture alterations that occur during the storage period of minimally processed yellow Peruvian roots, using texture profile analysis (TPA) and relaxation, in function of four types of plastic packaging, combined to refrigeration. The roots were selected, sanitized, peeled and sliced. The processing continued with final sanitization, rinsing and immersion in ascorbic and citric acid solution. The slices were centrifuged and packed in expanded polystyrene trays covered with PVC film, and in high-density polyethylene bags (HDPE), polypropylene bags (PP) and multilayer polyolefin bags for vacuum, and stored at 5 ± 2 ºC and 90 ± 5% relative humidity during 12 days. For the TPA, the parameters of interest were hardness and adhesiveness, automatically calculated from the force curves (F) x time (s). For modeling the relaxation process, the generalized Maxwell model was used. The slices packed in PP and vacuum showed higher hardness and normalized force in the balance (0.7502 and 0.7580, respectively), indicating that they were more elastic, better preserving the quality during storage than slices packed in other packaging.

Key words:
Arracacia xanthorrhiza; mathematical modeling; modified atmosphere; relaxation; texture profile analysis

RESUMO

As propriedades texturais dos produtos minimamente processados indicam a sua qualidade, sendo a embalagem fundamental para manter a conservação destes alimentos. Objetivou-se com este trabalho avaliar as alterações de textura que ocorrem durante o armazenamento das batatas baroa minimamente processadas através da análise do perfil de textura (TPA) e relaxação, em função de 4 tipos de embalagens plásticas, combinadas à refrigeração. As batatas baroa foram selecionadas, lavadas, sanitizadas, descascadas e cortadas em rodelas. O processamento prosseguiu com sanitização final, enxágue e imersão em solução de ácido ascórbico e ácido cítrico. As rodelas foram centrifugadas e acondicionadas em bandejas de poliestireno expandido revestidas com filme de PVC e em sacos de polietileno de alta densidade (PEAD), de polipropileno (PP) e de poliolefina multicamadas para vácuo e foram mantidas a 5 ± 2 ºC e 90 ± 5% de umidade relativa, durante 12 dias. Para o TPA, os parâmetros de interesse foram dureza e adesividade, calculados a partir das curvas de força (N) x tempo (s). Para a modelagem da relaxação utilizou-se o modelo generalizado de Maxwell. As rodelas acondicionadas nas embalagens de PP e à vácuo apresentaram valor mais elevado de dureza e maior força normalizada no equilíbrio (0,7502 e 0,7580, respectivamente) indicando que foram mais elásticas, preservando melhor a qualidade durante o armazenamento que as rodelas acondicionadas nas demais embalagens.

Palavras-chave:
Arracacia xanthorrhiza; modelagem matemática; atmosfera modificada; relaxação; análise do perfil de textura

INTRODUCTION

For fruits and vegetables consumed in natura, texture and color are the most important quality attributes for market value definition (Liu et al., 2009Liu LH, Zabaras D, Bennett LE, Aguas P & Woonton BW (2009) Effects of UV-C, red light and sun light on the carotenoid content and physical qualities of tomatoes during post-harvest storage. Food Chemistry, 115:495-500.).

Factors that affect texture can substantially change after harvest, due to intercellular adhesion change, conversion of starch into sugars, loss of water and cellular wall force (Toivonen & Brummel, 2008Toivonen PMA & Brummell DA (2008) Biochemical bases of appearance and texture changes in fresh-cut fruit and vegetables. Postharvest Biology and Technology, 48:01-14.). In minimally processed products, several handling techniques and conservation treatments are applied to reduce texture changes, like refrigerated conservation and use of plastic wrap.

Food texture can be measured by physical tests: punching, penetration, compression, shearing and relaxation, allowing the gathering of data related to consistency and resistance of vegetable tissues by the application of any force and the specific deformation or total test time (Bourne, 2003Bourne MC (2003) Food texture and viscosity: concept and measurement. New York, Academic Press. 427p.).

Relaxation is an important test for food texture evaluation, usually used for the study of the viscoelastic behavior of biological materials (Cespi et al., 2007Cespi M, Bonacucina G, Misici-Falzi M, Golzi R, Boltri L & Palmieri GF (2007) Stress relaxation test for the characterization of the viscoelasticity of pellets. European Journal of Pharmaceutics and Biopharmaceutics, 67:476-484.), and the modeling of a mathematical instrument is basic for analysis of this behavior (Del Nobile et al., 2007Del Nobile MA, Chillo S, Mentana A & Baiano A (2007) Use of the generalized Maxwell model for describing the stress relaxation behavior of solid- like foods. Journal of Food Engineering , 78:978-983.; Fustier et al., 2009Fustier P, Castaigne F, Turgeon SL & Biliaderis CG (2009) Impact of commercial soft wheat flour streams on dough rheology and quality attributes of cookies. Journal of Food Engineering , 90:228-237.).

According to Resende & Corrêa (2007Resende O & Corrêa PC (2007) Modelagem matemática do processo de hidratação de sementes de feijão. Acta Scientiarum Agronomy, 29:373-378.), specific models can satisfactorily describe the variation of rheological parameters during food ripening, providing not only practical texture rates, but also underlying characteristics to processes that occur during storage.

Other methods have been developed to determine food texture properties, being worth highlighting the Instrumental Texture Profile, which has been efficiently applied for a large food scale. The Instrumental Texture Profile Analysis (TPA) simulates the conditions to which food is submitted along the mastication process and is offered as a way of helping food researchers to obtain descriptive and quantitative sensorial data regarding texture characteristics.

Thus, the aim of this study was to evaluate the texture alterations that occur during the storage period of minimally processed yellow Peruvian roots by texture profile analysis (TPA) and relaxation, using four types of plastic packaging, combined to refrigeration during storage.

MATERIALS AND METHODS

The present study was developed in the Laboratory of Physical Properties and Quality Evaluation of Agricultural products of the National Grain Storage Training Center (CENTREINAR), and in the Post-harvest Laboratory, of the Phytotechnology Department and Minimum Processing Unit, both at the Federal University of Viçosa, UFV (MG, Brazil).

We used yellow Peruvian roots from cultivar Amarela de Carandaí, obtained at the Central Food Supply (Ceasa, MG, Brazil). The tubercles with damages, visible deformations or diseases were removed to obtain a homogeneous product.

The roots were selected, washed in running water with neutral detergent to remove dirt. Subsequently, they were taken to the minimum processing room, refrigerated at 18 ± 1 °C, and sanitized in solution with 200 mg L-1 active chlorine, for 15 min. Next, they were peeled and manually cut into ± 1 cm thick slices and immediately placed in frozen water. For final sanitization, the slices were immersed in a solution containing 200 mg L-1 active chlorine, at 5 ± 2 °C, for 15 min, with subsequent rinsing in solution containing 3 mg L-1 active chlorine, at 5 ± 2 °C for 15 min and immersed in a 3% ascorbic acid solution and 3% citrus acid for 5 min. Water excess was removed by centrifugation at 2000 rpm for 15 s and the slices were conditioned in the following packaging types: expanded polystyrene trays covered with 16 µm-thick polyvinylchloride (PVC) film; 10 µm-thick high density polyethylene (HDPE) packaging bags; 20 µm-thick polypropylene (PP) packaging bags and 70 µm-thick multilayer polyolefin vacuum bags. The samples were maintained at 5 ± 2 ºC and 90 ± 5% of relative humidity for a period of 12 days in a biochemical oxygen demand (B.O.D.) incubator.

The texture profile analysis was carried out according to Beléia & Pereira (2004Beléia LTPF & Pereira AP (2004) Fracionamento e caracterização de paredes celulares de raízes de mandioca. Ciência e Tecnologia de Alimentos, 24:59-63.), using a texture analyzer, model TA.HD (Stable Micro System), also known as texturometer. The samples were pressed at 20% of the initial height using compression with constant speed of 0.02 m min-1 with an aluminum cylinder of 100 mm diameter. The interest parameters were hardness and adhesiveness, which were automatically calculated by the software program Texture Expert for Windows(r) from force curves (N) x time (s) produced during the test.

The experiment was delineated in four groups, containing the following packaging types: 1) expanded polystyrene trays covered with polyvinylchloride film (PVC); 2) high-density polyethylene (HDPE) packaging bags; 3) polypropylene (PP) packaging bags; and 4) multilayer polyolefin (PML) packaging bags for vacuum. The groups were subdivided based on chronological evaluation (from 0 to 12 days) in a completely randomized delineation with four replications. The data were analyzed by analysis of variance and regression. To compare means of qualitative factor, Turkey's test was used, at 5% significance level. For the quantitative factor, models were chosen based on significance of regression coefficients using t test, coefficient of determination (R2) and biological behavior.

The relaxation test was also carried out using the texturometer. A cylindrical flat probe was used, with 100 mm diameter, at a test speed of 0.02 m min-1 and constant force of 4 N. For the relaxation curve modeling, the generalized Maxwell model was employed, equation 1:

(1)

where:

In order to verify the adjustment degree of models to describe the relaxation of yellow Peruvian root slices, the magnitudes of determination coefficient (R2), relative mean error (P) (Equation 2) and standard deviation estimates were used (SE) (Equation 3).

(2)

(3)

where:

RESULTS AND DISCUSSION

The texture attributes of yellow Peruvian root slices of the four packaging bags studied are presented in Table 1, according to TPA data. The packaging bags presented statistical difference for hardness.

Table 1:
Result of the Texture Profile Analysis (TPA) of yellow Peruvian root slices conditioned in packaging bags studied during storage

Figure 1Figure 1 shows the evolution for hardness (a) and adhesiveness (b) values of slices along storage.

Figure 1:
Observed values for the attributes hardness (a) and adhesiveness (b) in yellow Peruvian root slices conditioned in the packaging bags studied (PVC, HDPE, PP and VACUUM).

Regarding hardness, a decrease was observed in all packaging bags, and slices conditioned in PP and vacuum packaging bags presented higher hardness value, which allows inferring that at the sensory level, greater intensity force is required to compress food in mouth between molars compared to slices conditioned in other packaging bags.

Nunes et al. (2011Nunes EE, Vilas Boas EVB & Xisto ALRP (2011) Qualidade de mandioquinha-salsa minimamente processada: Uso de antioxidantes. Journal of Biotechonoly and Biodiversity, 2:43-50.), in a study with minimally processed yellow Peruvian roots, treated with different antioxidants and stored at 5 ºC for fifteen days, also verified reduction of hardness of slices during storage. According to Chitarra & Chitarra (2005Chitarra MIF & Chitarra AB (2005) Pós-colheita de frutos e hortaliças: fisiologia e manuseio. 2ª ed. Lavras, UFLA. 785p.), hardness is associated with the force required for the product to reach a given deformation, giving an idea of cell structure transformations, cell cohesion and biochemical alterations, occurred during the product useful life as a consequence of loss of turgor and/or action of cell wall hydrolytic enzymes.

The adhesiveness profile increased (in module) as the estimate for slices conditioned in vacuum packaging bags was lower, and for slices conditioned in PVC, it was higher at the respective storage times, requiring more work to separate the compression probe from the sample. According to Junqueira et al. (2010Junqueira MS, Teixeira LJQ, Saraiva SH, Peña WEL & Carneiro JCS (2010) Alterações físico-químicas e microbiológicas inerentes ao processamento mínimo de mandioca no formato palito. Enciclopédia Biosfera, 6:01-13.), the adhesiveness increase is possibly associated with microbial growth in the sample surface. They noticed that, from day 6, minimally processed cassava sticks were sticky during handling, showing high correlation with the UV fluorescence test, detecting presence of pseudomonas.

Table 2 shows parameters of the generalized Maxwell model to describe the relaxation process of yellow Peruvian roots during storage.

Table 2:
Values of estimated standard deviation (SE), relative mean error (P), coefficient of determination (R2) and parameters (σe, A1, A2, A3, τ1, τ2 and τ3) of the generalized Maxwell model obtained by the adjustment of experimental data from relaxation process of yellow Peruvian root slices conditioned in all packaging bags

The isolated use of the coefficient of determination must not be used as evaluation criterion of non-linear models (Kashaninejad et al. 2007Kashaninejad M, Mortazavi A, Safekordi A & Tabil LG (2007) Thin-layer drying characteristics and modeling of pistachio nuts. Journal of Food Engineering , 78:98-108.; Cunningham et al., 2007Cunningham SE, Mcminn WAM & Richardson PS (2007) Modelling water absorption of pasta during soaking. Journal of Food Engineering , 82:600-607.). Hence, P and SE values were calculated (Equations 2 and 3). The estimated data variability lower than 10% indicates better model adjustment for practical purposes, which is recommended for non-linear models (Mohapatra & Rao, 2005Mohapatra D & Rao PS (2005) A thin layer drying model of parboiled wheat. Journal of Food Engineering , 66:513-518.; Cunningham et al., 2007Cunningham SE, Mcminn WAM & Richardson PS (2007) Modelling water absorption of pasta during soaking. Journal of Food Engineering , 82:600-607.). P and SE values were satisfactory, indicating that the Maxwell model represents the behavior of relaxation curves of yellow Peruvian root slices during storage.

Other authors, using the Maxwell model with different numbers of elements, also reported better representation of experimental relaxation data for different products by this equation (Del nobile et al., 2007Del Nobile MA, Chillo S, Mentana A & Baiano A (2007) Use of the generalized Maxwell model for describing the stress relaxation behavior of solid- like foods. Journal of Food Engineering , 78:978-983.; Rodríguez-Sandoval et al., 2009Rodríguez-Sandoval E, Fernández-Quintero A & Cuvelier G (2009) Stress relaxation of reconstituted cassava dough. LWT - Food Science and Technology, 42:202-206.; Sadowska et al., 2009Sadowska J, Białobrzewski I, Jelinski T & Markowski M (2009) Effect of fat content and storage time on the rheological properties of Dutch-type cheese. Journal of Food Engineering , 94:254-259.; Bellido & Hatcher, 2009Bellido GG & Hatcher DW (2009) Stress relaxation behaviour of yellow alkaline noodles: Effect of deformation history. Journal of Food Engineering, 93:460-467.; Bhattacharya, 2010Bhattacharya S (2010) Stress relaxation behaviour of moth bean flour dough: Product characteristics and suitability of model. Journal of Food Engineering , 97:539-546.; Campus et al., 2010Campus M, Addis MF, Cappuccinelli R, Porcu MC, Pretti L, Tedde V, Secchi N, Stara G & Roggio T (2010) Stress relaxation behaviour and structural changes of muscle tissues from Gilthead Sea Bream (Sparusaurata L.) following high pressure treatment. Journal of Food Engineering , 96:192-198.). This fact demonstrates the wide use of this model for the study of viscoelastic alterations.

It is noticed, in the results of Table 2, that slices conditioned in PP and vacuum packaging bags are more elastic than slices conditioned in other packaging bags, as the parameter σe represents the elastic component of higher magnitude in the model. Therefore, higher σe values show more elastic and better quality products (Bellido & Hatcher, 2009Bellido GG & Hatcher DW (2009) Stress relaxation behaviour of yellow alkaline noodles: Effect of deformation history. Journal of Food Engineering, 93:460-467.). This can be seen in Figure 2, which shows the relaxation curves of values estimated by the generalized Maxwell model of yellow Peruvian root slices conditioned in all packaging bags studied, at different storage times. It is noticed that, by fixing a time during analysis, slices conditioned in PP (c) and vacuum (d) packaging bags present a higher normalized force than slices conditioned in PVC (a) and HDPE (b) packaging bags.

Figure 2:
Relaxation curves of yellow Peruvian root slices conditioned in PVC (a), HDPE (b), PP (c) and vacuum (d) packaging bags, at different storage times.

The relative normalized force at day 0 in a determined test time is higher than the normalized forces referring to day 2 of storage, and so on. This is due to the fact that slices from the first storage days are firmer than slices from the subsequent days, since they present, at each day, a less rigid structure, with less normalized force.

CONCLUSIONS

Slices conditioned in polypropylene and vacuum packaging bags presented higher hardness value.

The generalized Maxwell model represented well the relaxation process in all studied packaging bags, appropriately describing the alterations of yellow Peruvian root slices during storage.

Yellow Peruvian roots slice conditioned in polypropylene and vacuum packaging bags were more elastic than slices conditioned in other packaging bags.

ACKNOWLEDGEMENTS

The authors thank CNPq for funding, which was indispensable to carry out this work.

REFERENCES

  • Bellido GG & Hatcher DW (2009) Stress relaxation behaviour of yellow alkaline noodles: Effect of deformation history. Journal of Food Engineering, 93:460-467.
  • Beléia LTPF & Pereira AP (2004) Fracionamento e caracterização de paredes celulares de raízes de mandioca. Ciência e Tecnologia de Alimentos, 24:59-63.
  • Bhattacharya S (2010) Stress relaxation behaviour of moth bean flour dough: Product characteristics and suitability of model. Journal of Food Engineering , 97:539-546.
  • Bourne MC (2003) Food texture and viscosity: concept and measurement. New York, Academic Press. 427p.
  • Campus M, Addis MF, Cappuccinelli R, Porcu MC, Pretti L, Tedde V, Secchi N, Stara G & Roggio T (2010) Stress relaxation behaviour and structural changes of muscle tissues from Gilthead Sea Bream (Sparusaurata L.) following high pressure treatment. Journal of Food Engineering , 96:192-198.
  • Cespi M, Bonacucina G, Misici-Falzi M, Golzi R, Boltri L & Palmieri GF (2007) Stress relaxation test for the characterization of the viscoelasticity of pellets. European Journal of Pharmaceutics and Biopharmaceutics, 67:476-484.
  • Chitarra MIF & Chitarra AB (2005) Pós-colheita de frutos e hortaliças: fisiologia e manuseio. 2ª ed. Lavras, UFLA. 785p.
  • Cunningham SE, Mcminn WAM & Richardson PS (2007) Modelling water absorption of pasta during soaking. Journal of Food Engineering , 82:600-607.
  • Del Nobile MA, Chillo S, Mentana A & Baiano A (2007) Use of the generalized Maxwell model for describing the stress relaxation behavior of solid- like foods. Journal of Food Engineering , 78:978-983.
  • Fustier P, Castaigne F, Turgeon SL & Biliaderis CG (2009) Impact of commercial soft wheat flour streams on dough rheology and quality attributes of cookies. Journal of Food Engineering , 90:228-237.
  • Junqueira MS, Teixeira LJQ, Saraiva SH, Peña WEL & Carneiro JCS (2010) Alterações físico-químicas e microbiológicas inerentes ao processamento mínimo de mandioca no formato palito. Enciclopédia Biosfera, 6:01-13.
  • Kashaninejad M, Mortazavi A, Safekordi A & Tabil LG (2007) Thin-layer drying characteristics and modeling of pistachio nuts. Journal of Food Engineering , 78:98-108.
  • Liu LH, Zabaras D, Bennett LE, Aguas P & Woonton BW (2009) Effects of UV-C, red light and sun light on the carotenoid content and physical qualities of tomatoes during post-harvest storage. Food Chemistry, 115:495-500.
  • Mohapatra D & Rao PS (2005) A thin layer drying model of parboiled wheat. Journal of Food Engineering , 66:513-518.
  • Nunes EE, Vilas Boas EVB & Xisto ALRP (2011) Qualidade de mandioquinha-salsa minimamente processada: Uso de antioxidantes. Journal of Biotechonoly and Biodiversity, 2:43-50.
  • Resende O & Corrêa PC (2007) Modelagem matemática do processo de hidratação de sementes de feijão. Acta Scientiarum Agronomy, 29:373-378.
  • Rodríguez-Sandoval E, Fernández-Quintero A & Cuvelier G (2009) Stress relaxation of reconstituted cassava dough. LWT - Food Science and Technology, 42:202-206.
  • Sadowska J, Białobrzewski I, Jelinski T & Markowski M (2009) Effect of fat content and storage time on the rheological properties of Dutch-type cheese. Journal of Food Engineering , 94:254-259.
  • Toivonen PMA & Brummell DA (2008) Biochemical bases of appearance and texture changes in fresh-cut fruit and vegetables. Postharvest Biology and Technology, 48:01-14.

Publication Dates

  • Publication in this collection
    May-Jun 2016

History

  • Received
    27 Mar 2014
  • Accepted
    10 May 2016
Universidade Federal de Viçosa Av. Peter Henry Rolfs, s/n, 36570-000 Viçosa, Minas Gerais Brasil, Tel./Fax: (55 31) 3612-2078 - Viçosa - MG - Brazil
E-mail: ceres@ufv.br