Relationship between Methanogenic Cofactor Content and Maximum Specific Methanogenic Activity of Anaerobic Granular Sludges

Comparative evaluation of sludge surface charge as an indicator of process fluctuations in a biogas reactor

The current political situation imposes high demands on the economic feasibility of biogas plants. High prizes for biogas substrates and a trend to reduced feed-in tariffs generated an increasing need to optimize substrate exploitation and operation conditions. This includes a comprehensive and reliable biogas process monitoring. For that purpose a number of different process monitoring methods like CH₄ production rate, FOS/TAC (ratio of organic acid/total inorganic carbon alkalinity), pH or (auto)fluorescence are successfully applied. This paper will evaluate whether the surface charge - a parameter, which has not been in use so far - might also be suitable for biogas process monitoring. Since it is known that the surface charge is correlated with the adherence and floc formation capability of microbial cells, a change in surface charge might also reflect a change in the biogas process efficiency, or vice versa. To test this hypothesis, samples for the investigations were taken from a continuously stirred laboratory-scale tank biogas reactor with continuously increased substrate load. The impact of the load change was measured with both, surface charge and a number of more established monitoring parameters as given above. It was found that the "surface charge" reflected well short-term process changes (within hours) caused by an increasing substrate load in the reactor, though the highest short-term monitoring sensitivity was obtained with the "FOS/TAC" monitoring. Different from other monitoring parameters like CH₄, pH, or FOS/TAC the value of the parameter "surface charge" decreased with every feeding, eventually indicating a continuous deterioration of the biogas process conditions. Surface charge might therefore be of particular use as a complementary tool especially for the long-term monitoring of biogas process conditions.

Dual investigation of methanogenic processes by quantitative PCR and quantitative microscopic fingerprinting

Monitoring of methanogenic communities in anaerobic digesters using molecular-based methods is very attractive but can be cost-intensive. A new and fast quantification method by microscopic image analysis was developed to accompany molecular-based methods. This digitalized method, called quantitative microscopic fingerprinting (QMF), enables quantification of active methanogenic cells (N mL(-1)) by their characteristic auto-fluorescence based on coenzyme F420 . QMF was applied to analyze the methanogenic communities in three biogas plant samples, and the results were compared with the relative proportion of gene copy numbers obtained with the quantitative PCR (qPCR). Analysis of QMF demonstrated dominance of Methanomicrobiales and Methanobacteriales in relation to the total methanogenic community in digesters operating at high ammonia concentrations, which corresponded to the results established by qPCR. Absolute microbial counts by QMF and the numbers obtained by qPCR were not always comparable. On the other hand, the restricted morphological analysis by QMF was enhanced by the capability of qPCR to identify microbes. Consequently, dual investigations of both methods are proposed to improve monitoring of anaerobic digesters. For a rough estimation of the methanogenic composition in anaerobic digesters, the QMF method seems to be a promising approach for the rapid detection of microbial changes.

The mcrA gene as an alternative to 16S rRNA in the phylogenetic analysis of methanogen populations in landfill

Inferred amino acid sequences of the methyl coenzyme-M reductase (mcrA) gene from five different methanogen species were aligned and two regions with a high degree of homology flanking a more variable region were identified. Analysis of the DNA sequences from the conserved regions yielded two degenerate sequences from which a forward primer, a 32-mer, and a reverse primer, a 23-mer, could be derived for use in the specific PCR-based detection of methanogens. The primers were successfully evaluated against 23 species of methanogen representing all five recognized orders of this group of Archaea, generating a PCR product between 464 and 491 bp. Comparisons between the mcrA and 16S small subunit rRNA gene sequences using PHYLIP demonstrated that the tree topologies were strikingly similar. Methods were developed to enable the analysis of methanogen populations in landfill using the mcrA gene as the target. Two landfill sites were examined and 63 clones from a site in Mucking, Essex, and 102 from a site in Odcombe, Somerset, were analysed. Analysis revealed a far greater diversity in the methanogen population within landfill material than has been seen previously.