An innovative and cost-effective way to estimate alkaline phosphatase activity in cellular model systems.

Alkaline phosphatase is an enzyme that converts para-nitrophenyl phosphate to para-nitrophenol (yellow coloured) in 2-amino, 2-methyl, 1-propanol buffer at pH 10.5. However, when this protocol is applied to the in vitro cellular model systems to estimate alkaline phosphatase activity, it tends to generate clumps of genomic DNA, leading to inaccurate pipetting for protein estimation. The aim of the study was to introduce minor modifications in the existing protocol to make it simple, cost-effective, with minimal labor-intensive procedures while estimating alkaline phosphatase activity in cellular model systems. The genomic DNA clumps were dissolved by depurination (adding 0.2 N HCl) and fragmentation (adding 0.2 N NaOH) during enzyme estimation. Moreover, these minor modifications have been standardized and optimized extensively by using serum samples (rich source of alkaline phosphatase), hFOB/ER9 (human Fetal osteoblastic cell) and HepG2 cells. Our results suggest that the modification incorporated in previously published method was robust enough to estimate ALP activity and protein concentration accurately. There was no significant variation in ALP activity estimated after modification (P > 0.05). This innovative approach could be beneficial for a researcher by providing an easy, cost effective and less labor-intensive solution for estimation of enzymatic activity in cellular model systems.