Jurnal Teknologi Dan Industri Pangan
Vol. 29 No. 1 (2018): Jurnal Teknologi dan Industri Pangan

OPTIMASI PROSES PEMBUATAN TEPUNG LABU KUNING MENGGUNAKAN RESPONSE SURFACE METHODOLOGY UNTUK MENINGKATKAN AKTIVITAS ANTIOKSIDAN

Agung Wahyono (Program Studi Teknologi Industri Pangan, Politeknik Negeri Jember, Jember)
Elly Kurniawati (Program Studi Teknologi Industri Pangan, Politeknik Negeri Jember, Jember)
Kasutjianingati Kasutjianingati (Program Studi Produksi Tanaman Hortikultura, Politeknik Negeri Jember, Jember)
Park Kang-Hyun (Department of Food and Food Service Industry, Kyungpook National University)
Kang Woo-Won (Department of Food and Food Service Industry, Kyungpook National University)



Article Info

Publish Date
29 Jun 2018

Abstract

Yellow pumpkin (Cucurbita moscata) is a popular plant in Indonesia, but its utilization is limited. It has been reported that the antioxidant activity of yellow pumpkin increased by increasing the drying temperature and immersing the pumpkin in bisulfite solution during processing. The aim of this study was to optimize the processing conditions for the manufacturing of pumpkin flour using Response Surface Mothodology (RSM) to enhance its antioxidant activities. The optimization process was done using Box-Behnken construction. The factorial treatments consisted of immersion in metabisulfite solution, drying temperature, and drying time. The results showed that the scavenging activity as measured by DPPH and ABTS corresponded well to the independent variables based on the multiple regression analysis particularly the multivariate quadratic regression (MQR). Based on the MQR, the determination coefficients (R2) of DPPH and ABTS were 0.97 and 0.96, respectively. Based on that model, the optimum conditions of  pumpkin flour manufacturing were 23.05 min immersion in metabisulfite solution, drying temperature of 85°C , and 11.40 h of drying time. This optimum condition was predicted to yield pumpkin flour having DPPH and ABTS scavenging activities of 90.12% and 94.38%, respectively. Based on the validation data, the optimum condition resulted in flour with antioxidant activities of 80.23 (DPPH) and 86.67% (ABTS), respectively. The quadratic models developed were powerful in predicting the actual values of antioxidant activity of DPPH and ABTS. The accuracy of the models in predicting the antioxidant activity by DPPH and ABTS were 89.02 and 91.83%, respectively

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