Effect of hurdle preservation on quality attributes of Palmyra sap (Borassus flabellifer) for shelf-life extension

The current study was performed to preserve palmyra sap using hurdle treatments (Ca(OH)(2)) (TS2), bark extract (TS3), Ca(OH)(2) with bark extract (TS4) followed by pasteurization (TS1) (68celcius; 20 min) and were compared to fresh Ca(OH)(2) sap (CS) stored at ambient (32 +/- 2celcius) and refrigerated (7 +/- 1celcius) conditions for 28 days. The physicochemical, microbial, and sensory analysis of stored sap confirmed that TS2 sample had better quality and higher acceptability owing to delayed fermentation. Sample TS2 showed a significant and gradual decrease (p < .05) in pH from 6.8 +/- 0.06 to 4.9 +/- 0.35 (ambient) and 6.3 +/- 0.10 (refrigerated) whereas reducing sugar increased at a slow rate from 0.30 +/- 0.01 to 6.02 +/- 0.03 (ambient) and 0.42 +/- 0.01 (refrigerated) for 28 days. TS2 showed a lower concentration of alcohol during ambient (0.9 +/- 0.10%) and refrigerated (0.1 +/- 0.06%) conditions for 28 days. Hurdle treatments were effective with a prolonged shelf-life for refrigerated sap as compared to the saps stored under ambient conditions. Novelty impact statement Utilized different hurdle treatments for extending the shelf-life of palmyra sap stored at different storage conditions. Hurdle treatment involving pasteurization along with calcium hydroxide resulted in lower alcohol formation and successfully reduced microbial count during storage at ambient and refrigerated conditions.The shelf-life of hurdle treated palmyra sap can be predicted using a zero-order model during storage at ambient and refrigerated conditions.

Automated summary

The study investigated the preservation of palmyra sap using hurdle treatments, showing that TS2 sample had better quality and higher acceptability with delayed fermentation. The hurdle treatments proved effective in extending the shelf-life of refrigerated palmyra sap, lowering alcohol concentration and reducing microbial count. The shelf-life of hurdle treated palmyra sap can be predicted using a zero-order model during storage at both ambient and refrigerated conditions.