Aerobic Bacterial Batch Culture on Broth/Agar
Materials Required
Principle
Aerobic bacterial batch culture grows a closed inoculated population in broth or on agar without continuous medium replacement; growth readouts include turbidity/OD for total suspended biomass and colony-forming units for viable cells able to form colonies on agar[1][2][3][4]. OD-based growth curves reflect light scattering by cells, but OD is instrument-, pathlength-, species-, cell-size-, and density-dependent, so OD should be calibrated or interpreted alongside viable counts when quantitative cell density is required[3][6].
MCE has not independently verified the accuracy of these methods. They are for reference only.
Experimental Materials
• Use sterile pipettes or micropipettors for measured transfers, sterile loops or spreaders for plating, incubators for controlled growth, a spectrophotometer or plate reader for OD measurement, and colony-counting by direct visual or imaging-based enumeration when colonies are discrete[2][3][4].
Experimental Procedure
• Start the culture from an isolated colony or defined inoculum when a clonal or defined population is needed, because growth-curve interpretation assumes a defined starting population and because streak-plating is used to isolate single colonies before propagation[1][2].
• Inoculate sterile broth with the defined bacterial inoculum and incubate under aerobic conditions suitable for the tested organism; record time after inoculation as the batch-culture time variable and sample repeatedly if a growth curve is required[1][3][6].
• Measure OD at the selected wavelength used consistently across the experiment, and dilute samples into the OD range supported by calibration when quantitative cell-density comparison is required; OD alone should not be treated as universally proportional to cells per mL without calibration[3].
• For viable-count analysis, prepare serial dilutions in sterile diluent, plate measured aliquots on agar by spread, pour, or drop/surface viable-count methods, incubate plates under organism-appropriate conditions until discrete colonies are visible, and count plates or sectors where colonies are discrete rather than confluent[2][4][5].
• For the Miles-Misra/drop method, the original method used multiple serial dilutions, drops placed onto sector-marked agar plates, absorption before incubation, and counting of drop areas with the highest number of colonies without confluence or colony-size reduction from overcrowding[4].
• Generate OD-versus-time and/or CFU/mL-versus-time curves, estimate exponential-phase growth parameters from the appropriate growth interval, and choose OD-based, plate-count-based, or detection-time-based analysis according to the study objective because these approaches can estimate growth parameters but differ in what they resolve[3][6][7].
• Calculate CFU/mL from counted colonies using the counted colony number, plated volume, and dilution factor; use replicate final sampling or replicate plates to improve viable-count precision, and avoid averaging across dilutions when the cited viable-count precision analysis indicates that it can reduce precision for standard pour-plate counts[4][5].
• Use uninoculated medium or uninoculated agar as a contamination control and use repeated cultures or repeated final sampling when estimating uncertainty, because aseptic plating is intended to maintain sterile materials and serial-dilution/plate-count variance contributes to uncertainty[2][5].
Troubleshooting
Problem: OD increases but CFU recovery does not match the expected cell-density change.
• Possible Cause: OD is not a universal proxy for viable cell number because OD depends on instrument configuration, pathlength, cell size, and culture density.• Literature-supported Solution: Calibrate OD to cells/mL or pair OD measurements with viable-count plating for the organism and instrument used[3][6].
Problem: Agar count areas are confluent or colonies are too crowded to count.
• Possible Cause: The plated dilution is too concentrated, causing colony overlap or colony-size reduction.• Literature-supported Solution: Count only non-confluent areas with discrete colonies and repeat using a broader serial-dilution range[4][5].
Problem: Viable-count confidence is poor or replicate counts vary.
• Possible Cause: Serial dilution and final sampling introduce measurable variance.• Literature-supported Solution: Replicate the final sampling step and estimate uncertainty from the dilution/counting design rather than relying on a single plate count[5].
References:
- [1]. Monod J. The growth of bacterial cultures. Annu Rev Microbiol. 1949;3:371-394. [Content Brief]
- [2]. Sanders ER. Aseptic laboratory techniques: plating methods. J Vis Exp. 2012;(63):e3064. [Content Brief]
- [3]. Mira P, et al. Estimating microbial population data from optical density. PLoS One. 2022;17(10):e0276040. [Content Brief]
- [4]. Miles AA, et al. The estimation of the bactericidal power of the blood. J Hyg (Lond). 1938;38(6):732-749. [Content Brief]
- [5]. Hedges AJ. Estimating the precision of serial dilutions and viable bacterial counts. Int J Food Microbiol. 2002;76(3):207-214. [Content Brief]
- [6]. Biesta-Peters EG, et al. Comparison of two optical-density-based methods and a plate count method for estimation of growth parameters of Bacillus cereus. Appl Environ Microbiol. 2010;76(5):1399-1405. [Content Brief]
- [7]. Baranyi J, et al. Estimating bacterial growth parameters by means of detection times. Appl Environ Microbiol. 1999;65(2):732-736. [Content Brief]