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Fermentation technology

Biotechnology Engineering (B.E./B.Tech) · Bioprocess engineering · free study notes for exams, placements and interviews

In short

Fermentation technology is the engineering of controlled microbial or cell culture processes that convert cheap substrates into useful products - ethanol, antibiotics, enzymes, amino acids, organic acids, vitamins, vaccines and recombinant proteins. It covers strain and inoculum development, medium formulation, sterilization, modes of operation (batch, fed-batch, continuous), growth and product kinetics, and process control, i.e. everything that decides how much product comes out per litre per hour. It is examined heavily in GATE Biotechnology (BT) and in university Bioprocess Engineering papers, where kinetics and sterilization numericals carry the marks. Indian employers who hire on this topic include Biocon, Serum Institute of India, Bharat Biotech, Dr Reddy's, Sun Pharma, Aurobindo, Praj Industries, Advanced Enzymes, Amul and the distillery/ethanol-blending sector.

Explained

What fermentation means and how processes are classified

Upstream essentials: strain, inoculum and medium

Sterilization and asepsis

Modes of operation

Kinetics of growth, substrate use and product formation

Solid-state fermentation and anaerobic/traditional processes

Key points

Formulas and examples

µ = (1/X)(dX/dt) [h⁻¹]; X = X₀·eµt (exponential batch); t_d = ln2/µ [h]
Monod: µ = µ_max·S/(K_s + S); µ_max [h⁻¹], S and K_s [g/L]
Haldane: µ = µ_max·S/(K_s + S + S²/K_i); µ peaks at S* = √(K_s·K_i)
Yields: Y_X/S = −ΔX/ΔS; Y_P/S = −ΔP/ΔS [g/g]; Y_P/X = ΔP/ΔX
Substrate use with maintenance: −dS/dt = (1/Y°_X/S)(dX/dt) + m_s·X; m_s [g substrate/(g cells·h)]
Luedeking-Piret: q_p = (1/X)(dP/dt) = α·µ + β; α [g P/g X], β [g P/(g X·h)]
Chemostat: D = F/V [h⁻¹]; steady state µ = D; S̄ = K_s·D/(µ_max − D); X̄ = Y_X/S(S₀ − S̄)
Washout (critical) dilution rate: D_c = µ_max·S₀/(K_s + S₀) ≈ µ_max when S₀ ≫ K_s
Maximum cell productivity: D_opt = µ_max[1 − √(K_s/(K_s+S₀))]; productivity = D·X̄ [g/(L·h)]
Volumetric productivity (batch) = (P_final − P_0)/(t_ferment + t_turnaround) [g/(L·h)]
Thermal death: N = N₀·e−k_d t; Del factor Δ = ln(N₀/N) = k_d·t (isothermal); k_d = A·e−E/RT
Oxygen: OTR = k_L a (C* − C_L) [mg/(L·h)]; OUR = q_O₂·X; at steady state OTR = OUR
Fed-batch exponential feed: F(t) = (µ_set·X₀V₀/(Y_X/S·S_feed))·eµ_set t [L/h]

Example 1 - Batch growth, specific growth rate and doubling time. A yeast culture grows from 0.25 g/L to 4.0 g/L dry cell weight in 8 h of exponential growth.

Example 2 - Monod kinetics. µ_max = 0.5 h⁻¹, K_s = 0.2 g/L.

Example 3 - Chemostat steady state and productivity. V = 2 m³ = 2,000 L, F = 400 L/h, S₀ = 20 g/L glucose, µ_max = 0.4 h⁻¹, K_s = 1.0 g/L, Y_X/S = 0.5 g/g.

Example 4 - Batch vs fed-batch vs continuous productivity for the same ethanol duty. Batch: 48 h fermentation, 12 h turnaround, final ethanol 80 g/L from 10 g/L starting sugar-free broth.

Example 5 - Sterilization Del factor. A 50 m³ medium batch contains 10⁴ spores per mL; the target is a contamination probability of 0.001 per batch.

Example 6 - Oxygen demand check. X = 20 g/L, q_O₂ = 8 mmol O₂/(g cells·h), C* = 7.5 mg/L, C_L held at 2.0 mg/L.

FeatureBatchFed-batchContinuous (chemostat)
Volume during runConstantIncreasesConstant
Substrate controlNone after chargingControlled, low SSet by D
µ at steady operationVaries with timeCan be held at setpointEquals D
Volumetric productivityLowMedium-highHighest
Contamination/mutation riskLowLow-mediumHigh (long runs)
Typical productsAntibiotics, vaccines, most GMP productsBaker's yeast, penicillin, recombinant proteinsEthanol, SCP, wastewater treatment, brewing (some)
FeatureSubmerged (SmF)Solid-state (SSF)
WaterHigh (90%+)40-70% moisture, no free water
OrganismsBacteria, yeast, fungi, cell linesMainly filamentous fungi
Heat removalEasy (jacket/coil)Difficult, local hot spots
Product concentrationDiluteConcentrated
EffluentLarge volumeMinimal
Scale-up and controlWell establishedDifficult, gradients

Where it is used

Interview questions

Common mistakes

Related topics

Bioreactor design · Downstream processing · Enzyme technology · Microbial growth kinetics and metabolism · Biochemical thermodynamics and mass balances · Industrial biosafety and GMP regulation

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