Preview

Agricultural Science Euro-North-East

Advanced search

Evaluation of various varieties of peas as raw material for deep processing

https://doi.org/10.30766/2072-9081.2022.23.4.507-514

Abstract

The article provides an overview of the criteria for choosing pea varieties to evaluate economically valuable traits. For the effective use of peas as raw materials for deep processing, two directions can be considered: a joint increase in the content of protein and starch or the choice of varieties with the required indicators. The results of laboratory studies of processing for starch and protein isolate of 37 variety samples of peas from the collection of the Federal State Budgetary Scientific Institution «Federal Scientific Center of Legumes and Groat Crops» are presented. As evaluation criteria determining high technological properties, providing the most complete extraction of starch and protein isolate there have been selected coefficients of extraction of these components. When selecting a variety of peas, it is also necessary to consider the physicochemical properties of starch, which depend on the mass fraction of amylose. According to the results obtained, the most promising varieties for the processing of grain into starch and protein isolate are Orlovchanin, Alla, Rodnik, Sibirsky 1, Pharaon, Jaguar, Sophia. The most efficient extraction of the main processed products ‒ protein isolate and starch is established for the variety Alla, protein extraction coefficient 81.2 %, starch 90.6 %. Among the wrinkled pea varieties for industrial processing, the Amius 1241 breeding line is the most interesting, with protein isolate and starch extraction coefficients of 70.3 and 69.1 % and a mass fraction of amylose in starch of 81.5 %. It is found that the mass fraction of starch and protein in pea grains does not correlate with the extraction coefficients of protein and starch isolate during processing by two-stage extraction of protein from pea flour using the alkaline method. When processing wrinkled pea varieties, there are difficulties in separating the starch and residual protein undissolved in alkaline medium, since these pea varieties are found to have complex starch granules, which are easily crushed into small irregular and polygonal granules. In smooth pea varieties, the starch granules are oval in shape with a high percentage of large size and therefore there are no problems with separation of the starch-protein suspension. The dependence of viscosity of 3.0 % pea starch paste on the mass fraction of amylose in pea starch has been determined. The choice of pea variety for processing makes it possible to produce starch that has lifetime modification, i.e., that has the required physical and chemical properties and resistance. In addition, depending on the choice of pea variety, it is possible to predict the yield of isolate and protein concentrate. 

About the Authors

V. G. Goldstein
All-Russian Research Institute of Starch and Starch-containing Raw Materials Processing – Branch of Russian Potato Research Centre
Russian Federation

PhD in Engineering, leading researcher, Head of the Department, 

11, Kraskovo, Lyubertsy, Moscow region, 140051



L. P. Nosovskaya
All-Russian Research Institute of Starch and Starch-containing Raw Materials Processing – Branch of Russian Potato Research Centre
Russian Federation

senior researcher, 

11, Kraskovo, Lyubertsy, Moscow region, 140051



L. V. Adikaeva
All-Russian Research Institute of Starch and Starch-containing Raw Materials Processing – Branch of Russian Potato Research Centre
Russian Federation

 researcher,

11, Kraskovo, Lyubertsy, Moscow region, 140051



V. A. Kovalenok
All-Russian Research Institute of Starch and Starch-containing Raw Materials Processing – Branch of Russian Potato Research Centre
Russian Federation

DSc in Engineering, professor, leading researcher,

11, Kraskovo, Lyubertsy, Moscow region, 140051



References

1. Talab H. A. Starch -protein extraction and separation it from green pea. European Online Journal of Natural and Social Sciences 2016;5(4):1012-1017. URL: https://www.researchgate.net/publication/351303050_Starch_-protein_extraction_and_separation_it_from_green_pea

2. Dahl W. J., Foster L. M., Tyler R. T. Review of the health benefits of peas (Pisum sativum L.). British Journal of Nutrition. 2012;108(S1):3 -10. DOI: DOI: https://doi.org/10.1017/S0007114512000852

3. Kornet R., Venema P., Nijsse J., Linden E., Meinders M. B. J. Yellow pea aqueous fractionation increases the specific volume fraction and viscosity of its dispersions. Food Hydrocolloids. 2019;99:105332. DOI: https://doi.org/10.1016/j.foodhyd.2019.105332

4. Daba S., Morris C. F. Pea proteins: Variation, composition, genetics, and functional properties. Cereal Chemistry. 2022;99:8-20. DOI: https://doi.org/10.1002/cche.10439

5. Vasilenko A. A., Tymchuk S. M., Pozdnyakov V. V., Suprun O. V., Antsifirova O. V., Bezuglyy I. M. Content and fatty acid composition of oil in the seeds of pea starch-modifying mutants. Zernobobovye i krupyanye kul'tury = Legumes and Groat Crops. 2017;(3(23)):33-39. (In Russ.). URL: https://www.elibrary.ru/item.asp?id=29924504

6. Pshenichnaya I. A., Filatova I. A., Belyaeva E. P, Istomina O. N. Quality assessment of samples of pea varieties at the final stage of the selection process. Zernobobovye i krupyanye kul'tury = Legumes and Groat Crops. 2017;(3(23)):39-43. (In Russ). URL: https://www.elibrary.ru/item.asp?id=29924505

7. Filatova I. A. Results of the work on studying and distinguishing potential genotypes of peas with main economically valuable characteristics. Mezhdunarodnyy nauchno-issledovatel'skiy zhurnal = International Research Journal. 2017;(12-3(66)):150-153. (In Russ.). DOI: https://doi.org/10.23670/IRJ.2017.66.103

8. Bobkov S. V., Uvarova O. V. Development of optimal method of obtaining pea isolated proteins for use in breeding for quality. Agrarnaya nauka Evro-Severo-Vostoka = Agricultural Science Euro-North-East. 2020;21(4):408-416. (In Russ.). DOI: https://doi.org/10.30766/2072-9081.2020.21.4.408-416

9. Bobkov S. V., Uvarova O. V. Accumulation of storage matter in seeds of wild and cultural pea. Zemledelie. 2021;(4):24-27. (In Russ.). DOI: https://doi.org/10.24411/0044-3913-2021-10406

10. Tzitzikas Е. N., Vincken J. P., de Groot J., Gruppen H., Visser R. Genetic variation in pea seed globulin composition. Journal of Agricultural and Food Chemistry. 2006;54(2):425-433. DOI: https://doi.org/10.1021/jf0519008

11. Dostalova R., Horáček J., Hasalova I., Trojan R. Study of Resistant Starch (RS) Content in Peas During Maturation. Czech Journal of Food Sciences. 2009;27(1):S120-S124. DOI: https://doi.org/10.17221/935-CJFS

12. Ren Н., Setia R., Warkentin T. D., Ai Y. Functionality and starch digestibility of wrinkled and round pea flours of two different particle sizes. Food Chemistry. 2021:336(30):127711. DOI: https://doi.org/10.1016/j.foodchem.2020.127711

13. Nosovskaya L. P., Adikaeva L. V., Gol'dshteyn V. G. Use of innovative winter rye with a low content of pentosans as a raw material for the production of starch and starch products. Dostizheniya nauki i tekhniki APK = Achievements of Science and Technology of AICis. 2018:32(7):83-85. (In Russ.). DOI: https://doi.org/10.24411/0235-2451-2018-10720

14. Mir J. A., Srikaeo K., García J. Effects of amylose and resistant starch on starch digestibility of rice flours and starches. International Food Research Journal. 2013:20(3):1329-1335. URL: http://www.ifrj.upm.edu.my/20%20(03)%202013/43%20IFRJ%2020%20(03)%202013%20Srikaeo%20(434).pdf

15. Shen S., Hou H., Ding C., Bing D.-J., Lu Z.-X. Protein content correlates with starch morphology, composition and physicochemical properties in field peas. Canadian Journal of Plant Science. 2016:96(3):404-412. DOI: https://doi.org/10.1139/cjps-2015-0231


Review

For citations:


Goldstein V.G., Nosovskaya L.P., Adikaeva L.V., Kovalenok V.A. Evaluation of various varieties of peas as raw material for deep processing. Agricultural Science Euro-North-East. 2022;23(4):507-514. (In Russ.) https://doi.org/10.30766/2072-9081.2022.23.4.507-514

Views: 299


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2072-9081 (Print)
ISSN 2500-1396 (Online)