Elsevier

Water Research

Volume 45, Issue 3, January 2011, Pages 1267-1279
Water Research

Effects of free cyanide on microbial communities and biological carbon and nitrogen removal performance in the industrial activated sludge process

https://doi.org/10.1016/j.watres.2010.10.003Get rights and content

Abstract

The changes in process performance and microbial communities under free cyanide (CN) were investigated in a lab-scale activated sludge process treating industrial wastewater. The performance of phenol degradation did not appear to be adversely affected by increases in CN concentrations. In contrast, CN was found to have an inhibitory effect on SCN biodegradation, resulting in the increase of TOC and COD concentrations. Nitratation also appeared to be inhibited at CN concentrations in excess of 1.0 mg/L, confirming that nitrite-oxidizing bacteria (NOB) is more sensitive to the CN toxicity than ammonia oxidizing bacteria (AOB). After CN loads were stopped, SCN removal, denitrification, and nitrification inhibited by CN were recovered to performance efficiency of more than 98%. The AOB and NOB communities in the aerobic reactor were analyzed by terminal restriction fragment length (T-RFLP) and quantitative real-time PCR (qPCR). Nitrosomonas europaea lineage was the predominant AOB at all samples during the operation, but an obvious change was observed in the diversity of AOB at the shock loading of 30 and 50 mg/L CN, resulting in Nitrosospira sp. becoming dominant. We also observed coexisting Nitrospira and Nitrobacter genera for NOB. The increase of CN loading seemed to change the balance between Nitrospira and Nitrobacter, resulting in the high dominance of Nitrobacter over Nitrospira. Meanwhile, through using the qPCR, it was observed that the nitrite-reducing functional genes (i.e., nirS) were dominant in the activated sludge of the anoxic reactor, regardless of CN loads.

Introduction

Biological nitrification coupled to denitrification is commonly used in wastewater treatment plants to simultaneously remove carbon and nitrogen. Nitrification is achieved through the aerobic oxidation of ammonium (NH4+) or ammonia (NH3) into nitrite (NO2) by ammonia oxidizing bacteria (AOB), often Nitrosomonas spp., and followed by the oxidation of the nitrite (NO2) into nitrate (NO3) by nitrite-oxidizing bacteria (NOB), often Nitrobacter spp. The former is called nitritation and the latter nitratation. Denitrification consists of consecutive reaction steps in which nitrate is reduced to dinitrogen gas by denitrifying bacteria using the organic matter of wastewater under anoxic conditions: the reduction of nitrate via nitrite and nitric oxide to nitrous oxide or dinitrogen gas (Zumft, 1997).

Although the biological processes treating industrial wastewater are efficient and reliable, they may be susceptible to disturbances and toxic loadings (Juliastuti et al., 2003, Mertoglu et al., 2008, Kim et al., 2009). In particular, the presence of cyanide in industrial wastewaters from mining, coke or steel industries leads to severe problems for biological wastewater treatment (Wild et al., 1994). It is known that cyanide inhibits nitrification and denitrification in activated sludge systems (Kelly et al., 2004, Kim et al., 2008a), with only 1–2 mg/L of free cyanide in the form of HCN or CN being more toxic to biological processes than thiocyanate and metal–cyanide complexes (Park and Ely, 2008). Although the inhibitory effects of free cyanide on microbial reactions have been investigated by many researchers, most of them have focused on the threshold levels of free cyanide, at which pure or mixed cultures can tolerate without any inhibition (Kim et al., 2008b, Neufeld et al., 1986, Park and Ely, 2008). A few researchers have investigated the process performances on free cyanide (Lewandowski, 1984, Richards and Shieh, 1989). However, little is known about the microbial populations of nitrifiers and denitrifiers in an activated sludge system treating industrial wastewater containing free cyanide. Therefore, this study aimed to investigate bacterial populations relevant to nitrification and denitrification processes, particularly those in an activated sludge system treating wastewater from a coke plant under free cyanide shock loading. Diversity surveys, and the relationship of the bacterial abundance and activity to the overall processing conditions, may lead to an understanding of the basis of the process instability under free cyanide shock loading.

Section snippets

Actual wastewater and microbial inoculums

Actual wastewater was collected from the full-scale wastewater treatment plant (WWTP) of a coke manufacturing plant in Pohang, Korea. During the operation of our reactor, the concentrations of pollutants in the raw wastewater were as follows: 1950–2325 mg/L of chemical oxygen demand (COD), 606–644 mg/L of total organic carbon (TOC), 190–229 mg/L of phenol, 186–218 mg-N/L of total nitrogen (TN), 103–119 mg-N/L of ammonia, 405–486 mg/L of thiocyanate (SCN) and 15.0–50.0 mg-CN/L of free cyanide

The pollutants removal performance

After stable operation of the lab-scale reactor was achieved, extra CN was added into the feed for 5 days to examine its effects on the nitrification and denitrification as well as the removal of other pollutants. Fig. 1 shows the variation of effluent CN from the reactors under different CN shock loading conditions.

During the first shock loading (15 mg/L for 5 days), CN concentration in the effluent of the anoxic reactor was maintained below 0.4 mg/L. As the loading concentration of CN

Conclusions

The microbial communities and reactor performance under gradually increased CN loading were monitored in a lab-scale industrial activated sludge process using T-RFLP and qPCR. The performance of phenol degradation did not appear to be adversely affected by increases in CN concentrations. In contrast, CN- significantly inhibited SCN biodegradation, resulting in the increase of TOC and COD concentrations. Nitratation also appeared to be inhibited at CN concentrations in excess of 1.0 mg/L,

Acknowledgement

This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (No. 2010-0001437). This work was also partially supported by the second phase of the Brain Korea 21 Program in 2010 as well as by the Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the MEST (2009-0093819). The authors thank Dr. Seungyong Lee, Dr. Seung Gu Shin, and

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