Effect of the Coconut Coir (Cocos nucifera) as a Growth Medium for Pleurotus ostreatus (Oyster Mushroom) on Mineral and Vitamin B Contents

Abstract

The oyster mushroom (Pleurotus ostreatus) is the most cultivated mushroom which its growth performance and nutritional composition depend on substrate types. Thus, this study investigated the effect of coconut coir on minerals and vitamins B contents in the oyster mushroom cultivation medium. The composition of coconut coir and Sengon’s sawdust as growth medium were variated at ratios of 4:0 (F1), 3:1 (F2), 2:2 (F3), 1:3 (F4), 0:4 (F5) (w/w). Furthermore, the mineral and vitamin B contents of the harvested oyster mushrooms were analyzed by ICPMS and LCMS, respectively. The highest minerals contents of potassium 26,909 mg/kg, 1,136 mg/kg of phosphorus, 313 mg/kg of magnesium, 4,346 mg/kg of calcium, 15.4 mg/kg for zinc, 2.07 mg/kg of copper, 0.623 mg/kg of Selenium were identified at F1, whereas the highest manganese was at F2 (15.3 mg/kg). Potassium was the highest mineral content in oyster mushrooms in all growth media, and low toxic minerals content of cadmium was detected between 0.015-0.058 mg/kg in all variant substrates. Lead (0.525 mg/kg) and mercury (0.012 mg/kg) was only detected at F1, while arsenic was detected at F4 (0.002 mg/kg) and F5 (0.029 mg/kg). LCMS analysis showed that vitamin B1 (Thiamine), B3 (niacin), B6 (pyridoxine) and B12 (cyanocobalamin) were detected in all growth media, while vitamin B5 (pantothenic acid) was only detected at F5. These results indicated that the P. ostreatus cultivation on coconut coir become valuable nutritional resources to alleviate malnutrition and help dispose of coconut coir in an environment-friendly manner.

Screening, characterization and optimization of potential dichlorodiphenyl trichloroethane (DDT) degrading fungi

“…The goodness-of-fit of the generated mathematical model to the experimental data was evaluated using a variety of descriptive and inferential statistical methods, including the p-value, F-test, R 2 R 2 adj, sum of squares (SS), and mean sum of squares (MSS) tests [ 88 ]. Differences between means were considered statistically significant (p < 0.05) at a 5 % level of confidence [ 89 , 90 ]. The developed model is significant, as indicated by the model F-value of 2.13.…”