Unlocking the Potential: Algal Biomass Cultivation and Growth Kinetics Using Tanning Process Water

Mahesh Kumar Gagrai*, 
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Abstract

A basic kinetic model has been applied to microalgae to predict the growth parameters in Zarrouk Media composition (ZMC) and precipitated chrome tanning effluent (PCTE). The model was fitted with the experimental data of Spirulina cultivation to estimate growth parameters: nutrient adsorption constant (Ka) (h–1), nutrient desorption constant (Kd) (h–1), rate of respiration (rRc)(h–1), efficiency of bio-synthesis (β) (g g–1), respiration rate (h–1)(rRc), rate of maximum photosynthesis (pmax) (h–1), coefficient for light-absorption (α) (m2 g–1), photon efficiency (g.μmol–1 photons–1) (φm), etc. The model suggests a higher nutrient adsorption rate in ZMC (0.75 h–1) as compared to PCTE (1.40 × 10–2 h–1). The rate of respiration of Spirulina decreased due to cultivation in PCTE from 5.36 × 10–3 to 1.91 × 10–3 h–1. The biosynthetic efficiency of Spirulina decreased from 8.72 to 2.002 due to cultivation in PCTE media. The maximum photosynthetic rate h–1 was slightly higher in ZMC as compared to PCTE media. The model parameter values were lower for Spirulina in PCTE than those in ZMC. Spirulina’s cell density was lower in PCTE compared to ZMC, as the doubling time was increased from 9.97 h–1 to 31.47 h–1. Moreover, the optimum pH for growth was also shifted from 9.5 to 10.5. The higher dose of PCTE (Cl > 2.96 × 103 mg L–1) restricted cell growth. Adding Cr(III) in ZMC has a higher impact on cell growth than Cr(VI). The model parameters with Cr(III) and Cr(VI) also showed a decrease in values except rRc and β have higher values for Cr(VI) as compared to Cr(III) added ZMC due to the non-interaction of Cr(VI) with algae. The model-predicted cell growth rates closely align with experimental results, with deviations within an ±7% margin. The addition of heavy metals to ZMC disrupts nutrient interactions and transport mechanisms during Spirulina cell growth.

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释放潜能:利用制革工艺水培养藻类生物质和生长动力学
将基本动力学模型应用于微藻类,以预测扎鲁克培养基成分(ZMC)和沉淀铬鞣废水(PCTE)中的生长参数。该模型与螺旋藻培养的实验数据进行了拟合,以估算生长参数:养分吸附常数(Ka)(h-1)、养分解吸常数(Kd)(h-1)、呼吸速率(rRc)(h-1)、生物合成效率(β)(g g-1)、呼吸速率(h-1)(rRc)、最大光合速率(pmax)(h-1)、光吸收系数(α)(m2 g-1)、光子效率(g.μmol-1光子-1)(φm)等。模型表明,与 PCTE(1.40 × 10-2 h-1)相比,ZMC(0.75 h-1)的养分吸附率更高。螺旋藻在 PCTE 中的呼吸速率从 5.36 × 10-3 h-1 降至 1.91 × 10-3 h-1。螺旋藻在 PCTE 培养基中的生物合成效率从 8.72 降至 2.002。与 PCTE 培养基相比,ZMC 培养基的最大光合速率略高。螺旋藻在 PCTE 培养基中的模型参数值低于在 ZMC 培养基中的模型参数值。与 ZMC 相比,螺旋藻在 PCTE 中的细胞密度较低,倍增时间从 9.97 h-1 增加到 31.47 h-1。此外,生长的最佳 pH 值也从 9.5 变为 10.5。较高剂量的 PCTE(Cl- > 2.96 × 103 mg L-1)限制了细胞的生长。与六价铬相比,在 ZMC 中添加三价铬对细胞生长的影响更大。铬(III)和铬(VI)的模型参数值也有所下降,但与添加铬(III)的 ZMC 相比,铬(VI)的 rRc 和 β 值更高,这是因为铬(VI)与藻类没有相互作用。模型预测的细胞生长率与实验结果非常吻合,偏差在 ±7% 的范围内。在 ZMC 中添加重金属会破坏螺旋藻细胞生长过程中的营养相互作用和运输机制。
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