Technique for order preference by similarity to ideal solution (TOPSIS) analysis was firstly applied to rank the most suitable registered chickpea cultivars among (12×3=36 samples) alternatives based on their functional properties. Chickpeas were grown in controlled trial fields of state research institutes in Adana (in 2014-2015) and Erzurum (2015) regions which had mild-hot and cold climate conditions, respectively. Total phenolic (TPC) and water-soluble protein (WSPC) contents, free radical scavenging (FRSA) and iron chelating (ICA) activities, and water binding (WBC) and oil binding (OBC) capacities of extracts were determined. Equal weights were assigned for the parameters in TOPSIS application and the distances of each alternative from ideal positive and negative solution points and closeness coefficients were determined. Considerable variations were observed for TPC, FRSA and ICA. The average values of determined parameters in each group (location, year, location and year) were close to each other. Significant low positive correlations were not determined between TPC, FRSA and ICA while any significant correlations were determined between the WSPC, OBC, and WBC (P˂0.05). Aydın cultivar had the highest score for its antioxidant and technical functions (closeness coefficient was 7.02E-01) and followed by Çakır (5.59E-01) and Azkan (4.91E-01). This study showed the suitability of TOPSIS analysis in agriculture and food science area when the sample number was high and many different properties of samples were considered.
In this study, technique for order preference by similarity to ideal solution(TOPSIS) analysis, which is multi criteria decision making method, was firstlyapplied to rank the most suitable cultivars among 12 registered chickpeas for highantioxidant potentials. Registered chickpea cultivars were grown in trial fields ofstate research institute in 2015, Adana, Turkey. The cultivars were analyzed for thecriteria such as their water-soluble protein content (WSPC), total phenolic content(TPC), free radical scavenging activity (FRSA) and iron chelating activity (ICA)which were related to their antioxidant potentials. However, depending on eachcriterion, the ranking of the cultivars was completely different so that TOPSISanalysis was applied to the obtained data in six steps. Firstly, the decision matrixwas constructed and then each criterion was weighted as respectively 0.40, 0.30,0.20, 0.10 for FRSA, TPC, ICA, and WSPC by the researchers. After the weightednormalized decision matrix was constructed, the positive ideal and negative idealsolutions were determined. Then the separation measures for each alternative werecalculated (Si* and Si- for the separation from positive and negative idealalternative, respectively). Finally, the relative closeness to ideal solution wascalculated (Ci*). The cultivar Seçkin with the highest Ci* value (0.776) was thefirst rank and followed by Aydın, Azkan, and Çakır. This study showed theusefulness of TOPSIS analysis in the multi criteria decision making process whenthe presence of different parameters related to same property of sample set such asantioxidant potential of chickpea cultivars.
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