$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

A kinetic study of 4-chlorophenol biodegradation by the novel isolated Bacillus subtilis in batch shake flask 원문보기

Environmental engineering research, v.25 no.1, 2020년, pp.62 - 70  

Sandhibigraha, Sudhansu (Department of Chemical Engineering, National Institute of Technology) ,  Chakraborty, Sagnik (School of Energy and Environmental Engineering, Hebei University of Technology) ,  Bandyopadhyay, Tarunkanti (Department of Chemical Engineering, National Institute of Technology) ,  Bhunia, Biswanath (Department of Bio Engineering, National Institute of Technology)

Abstract AI-Helper 아이콘AI-Helper

Here in this work, a 4-chlorophenol (4-CP)-degrading bacterial strain Bacillus subtilis (B. subtilis) MF447840.1 was isolated from the drain outside the Hyundai car service center, Agartala, Tripura, India. 16S rDNA technique used carried out for genomic recognition of the bacterial species. Isolate...

주제어

AI 본문요약
AI-Helper 아이콘 AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

제안 방법

  • is the saturation constant (g/L), and S is the substrate concentration (g/L). In this study, GraphPad Prism 5 was applied to resolve the nonlinear equation applying non-linear regression analysis. Numerous kinetic factors, namely, μ, μmax, and KS were computed by fitting the experimental data.
  • 1. The in-depth kinetic investigation was performed to assess the effect of various concentrations of 4-CP on the growth of B. subtilis. The intrinsic kinetic parameters were computed using a non-linear regression analysis with best fit unstructured Han and Levenspiel’s model.
  • Twenty-five different bacteria were isolated from twenty-five waste water samples which were collected from fifteen different places. The phylogenetic study was performed to identify the most potent 4-CP-degrading strain. Genomic identification showed that the isolated strain was phylogenetically associated amid B.

대상 데이터

  • This material is based upon work supported by the National Institute of Technology, Agartala, India. Authors would like to acknowledge the National Institute of Technology, Agartala, Ministry of Human Resource and Development, Government of India for Fellowship (0000-0003-4637-991X).

이론/모형

  • By trial and error method, the experimental data were shown to fit reasonably well in Han and Levenspiel’s model [36] for cell growth and 4-CP utilization.
  • Experimental data on substrate concentration dependency of the specific growth rate in this study fit well with the simulated data find by using the best fit unstructured Levenspiel’s equation.
  • Genomic analysis of the isolated strain was performed applying 16S rDNA technique. DNA was collected from the isolated species, and the quality of DNA was assessed on 1.
  • The distance matrix was prepared via the Ribosomal record along with the highest likelihood phylogenetic tree was created. MEGA 5 was used to find out the evolutionary distance bootstrap data by the Jukes-cantor model of the neighbor-joining technique [16]. The thermodynamic characteristics of the bacterial strain were computed by an online package, (https://cail.
  • 2. The evolutionary background was measured applying the neighbor-joining method [23]. The bootstrap consensus tree anecdotal as replicates of 1,000 [24] was used to signify the evolutionary background of the taxa investigated [23].
  • The bootstrap consensus tree anecdotal as replicates of 1,000 [24] was used to signify the evolutionary background of the taxa investigated [23]. The evolutionary span was computed applying the Jukes-Cantor technique [25] along with expressed in the units of the numeral of base changeover for each position. The rate difference amongst sites was computed using a gamma distribution (form factor = 1) [16].
  • The intrinsic kinetic parameters were computed using a non-linear regression analysis with best fit unstructured Han and Levenspiel’s model.
본문요약 정보가 도움이 되었나요?

참고문헌 (46)

  1. O'Connell DW, Birkinshaw C, O'Dwyer TF. Heavy metal adsorbents prepared from the modification of cellulose: A review. Bioresour. Technol. 2008;99:6709-6724. 

  2. Patel BP, Kumar A. Biodegradation of 4-chlorophenol in an airlift inner loop bioreactor with mixed consortium: Effect of HRT, loading rate and biogenic substrate. 3 Biotech 2016;6:1-9. 

  3. Wang Q, Li Y, Li J, Wang Y, Wang C, Wang P. Experimental and kinetic study on the cometabolic biodegradation of phenol and 4-chlorophenol by psychrotrophic Pseudomonas putida LY1. Environ. Sci. Pollut. Res. 2015;22:565-573. 

  4. Cooper V, Nicell J. Removal of phenols from a foundry wastewater using horseradish peroxidase. Water Res. 1996;30:954-964. 

  5. Igbinosa EO, Odjadjare EE, Chigor VN, et al. Toxicological profile of chlorophenols and their derivatives in the environment: The public health perspective. Sci. World J. 2013;2013:1-11. 

  6. Hu P, Huang J, Ouyang Y, et al. Water management affects arsenic and cadmium accumulation in different rice cultivars. Environ. Geochem. Health 2013;35:767-778. 

  7. Arao T, Kawasaki A, Baba K, Mori S, Matsumoto S. Effects of water management on cadmium and arsenic accumulation and dimethylarsinic acid concentrations in Japanese rice. Environ. Sci. Technol. 2009;43:9361-9367. 

  8. Durruty I, Okada E, Gonzalez JF, Murialdo SE. Multisubstrate monod kinetic model for simultaneous degradation of chlorophenol mixtures. Biotechnol. Bioprocess Eng. 2011;16:908-915. 

  9. Ra JS, Oh S-Y, Lee BC, Kim SD. The effect of suspended particles coated by humic acid on the toxicity of pharmaceuticals, estrogens, and phenolic compounds. Environ. Int. 2008;34:184-192. 

  10. Akinpelu EA, Adetunji AT, Ntwampe SKO, Nchu F, Mekuto L. Performance of Fusarium oxysporum EKT01/02 isolate in cyanide biodegradation system. Environ. Eng. Res. 2018;23:223-227. 

  11. Basak B, Bhunia B, Dutta S, Chakraborty S, Dey A. Kinetics of phenol biodegradation at high concentration by a metabolically versatile isolated yeast Candida tropicalis PHB5. Environ. Sci. Pollut. Res. 2014;21:1444-1454. 

  12. Geed S, Kureel M, Giri B, Singh R, Rai B. Performance evaluation of Malathion biodegradation in batch and continuous packed bed bioreactor (PBBR). Bioresour. Technol. 2017;227:56-65. 

  13. Sahoo NK, Pakshirajan K, Ghosh PK. Evaluation of 4-bromophenol biodegradation in mixed pollutants system by Arthrobacter chlorophenolicus A6 in an upflow packed bed reactor. Biodegradation 2014;25:705-718. 

  14. Yadav M, Srivastva N, Singh RS, Upadhyay SN, Dubey SK. Biodegradation of chlorpyrifos by Pseudomonas sp. in a continuous packed bed bioreactor. Bioresour. Technol. 2014;165:265-269. 

  15. Yan J, Jianping W, Hongmei L, Suliang Y, Zongding H. The biodegradation of phenol at high initial concentration by the yeast Candida tropicalis. Biochem. Eng. J. 2005;24:243-247. 

  16. Uday USP, Majumdar R, Tiwari ON, et al. Isolation, screening and characterization of a novel extracellular xylanase from Aspergillus niger (KP874102. 1) and its application in orange peel hydrolysis. Int. J. Biol. Macromol. 2017;105:401-409. 

  17. Leszczynska D, Bogatu C, Beqa L, Veerepalli R. Simultaneous determination of chlorophenols from quaternary mixtures using multivariate calibration. Chem. Bull. "POLITEHNICA" Univ. (Timisoara) 2010;55:5-8. 

  18. Wang L, Li Y, Yu P, Xie Z, Luo Y, Lin Y. Biodegradation of phenol at high concentration by a novel fungal strain Paecilomyces variotii JH6. J. Hazard. Mater. 2010;183:366-371. 

  19. Tosu P, Luepromchai E, Suttinun O. Activation and immobilization of phenol-degrading bacteria on oil palm residues for enhancing phenols degradation in treated palm oil mill effluent. Environ. Eng. Res. 2015;20:141-148. 

  20. Hossain SG, McLaughlan RG. Oxidation of chlorophenols in aqueous solution by excess potassium permanganate. Water Air Soil Pollut. 2012;223:1429-1435. 

  21. Kim J, Min KA, Cho KS, Lee IS. Enhanced bioremediation and modified bacterial community structure by barn yard grass in diesel-contaminated soil. Environ. Eng. Res. 2007;12:37-45. 

  22. Nongbri BB, Syiem MB. Diversity analysis and molecular typing of cyanobacteria isolated from various ecological niches in the state of Meghalaya, North-East India. Environ. Eng. Res 2012;17:21-26. 

  23. Saitou N, Nei M. The neighbor-joining method: A new method for reconstructing phylogenetic trees. Mol. Biol. Evol. 1987;4:406-425. 

  24. Felsenstein J. Confidence limits on phylogenies: An approach using the bootstrap. Evolution 1985;39:783-791. 

  25. Kimura M. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J. Mol. Evol. 1980;16:111-120. 

  26. Tallur P, Megadi V, Kamanavalli C, Ninnekar H. Biodegradation of p-cresol by Bacillus sp. strain PHN 1. Curr. Microbiol. 2006;53:529-533. 

  27. Tallur P, Megadi V, Ninnekar H. Biodegradation of p-cresol by immobilized cells of Bacillus sp. strain PHN 1. Biodegradation 2009;20:79-83. 

  28. Hasan SA, Jabeen S. Degradation kinetics and pathway of phenol by Pseudomonas and Bacillus species. Biotechnol. Biotechnol. Equip. 2015;29:45-53. 

  29. Kumar A, Bhunia B, Dasgupta D, et al. Optimization of culture condition for growth and phenol degradation by Alcaligenes faecalis JF339228 using Taguchi Methodology. Desalin. Water Treat. 2013;51:3153-3163. 

  30. Mandal S, Bhunia B, Kumar A, et al. A statistical approach for optimization of media components for phenol degradation by Alcaligenes faecalis using Plackett-Burman and response surface methodology. Desalin. Water Treat. 2013;51:6058-6069. 

  31. Khan F, Pal D, Vikram S, Cameotra SS. Metabolism of 2-chloro-4-nitroaniline via novel aerobic degradation pathway by Rhodococcus sp. strain MB-P1. PLoS One 2013;8:e62178. 

  32. Bhunia B, Basak B, Bhattacharya P, Dey A. Kinetic studies of alkaline protease from Bacillus licheniformis NCIM-2042. J. Microbiol. Biotechnol. 2012;22:1758-1766. 

  33. Lobo CC, Bertola NC, Contreras EM, Zaritzky NE. Monitoring and modeling 4-chlorophenol biodegradation kinetics by phenol-acclimated activated sludge by using open respirometry. Environ. Sci. Pollut. Res. 2018;25:21272-21285. 

  34. Edwards VH. The influence of high substrate concentrations on microbial kinetics. Biotechnol. Bioeng. 1970;12:679-712. 

  35. Wang S-J, Loh K-C. Modeling the role of metabolic intermediates in kinetics of phenol biodegradation. Enzyme Microb. Technol. 1999;25:177-184. 

  36. Han K, Levenspiel O. Extended Monod kinetics for substrate, product, and cell inhibition. Biotechnol. Bioeng. 1988;32:430-447. 

  37. Luong J. Generalization of Monod kinetics for analysis of growth data with substrate inhibition. Biotechnol. Bioeng. 1987;29:242-248. 

  38. Okpokwasili G, Nweke C. Microbial growth and substrate utilization kinetics. African J. Biotechnol. 2006;5:305-317. 

  39. Livingston AG, Chase HA. Modeling phenol degradation in a fluidized­bed bioreactor. AIChE J. 1989;35:1980-1992. 

  40. Kumar A, Kumar S, Kumar S. Biodegradation kinetics of phenol and catechol using Pseudomonas putida MTCC 1194. Biochem. Eng. J. 2005;22:151-159. 

  41. Bhunia B, Basak B, Bhattacharya P, Dey A. Process engineering studies to investigate the effect of temperature and pH on kinetic parameters of alkaline protease production. J. Biosci. Bioeng. 2013;115:86-89. 

  42. Jiang Y, Nanqi R, Xun C, Di W, Liyan Q, Sen L. Biodegradation of phenol and 4-chlorophenol by the mutant strain CTM 2. Chinese J. Chem. Eng. 2008;16:796-800. 

  43. Basak B, Bhunia B, Dutta S, Dey A. Enhanced biodegradation of 4-chlorophenol by Candida tropicalis PHB5 via optimization of physicochemical parameters using Taguchi orthogonal array approach. Int. Biodeterior. Biodegrad. 2013;78:17-23. 

  44. Yano T, Koga S. Dynamic behavior of the chemostat subject to substrate inhibition. Biotechnol. Bioeng. 1969;11:139-153. 

  45. Wang J, Ma X, Liu S, Sun P, Fan P, Xia C. Biodegradation of phenol and 4-chlorophenol by Candida tropicalis W1. Procedia Environ. Sci. 2012;16:299-303. 

  46. Liu Y, Liu J, Li C, Wen J, Ban R, Jia X. Metabolic profiling analysis of the degradation of phenol and 4-chlorophenol by Pseudomonas sp. cbp1-3. Biochem. Eng. J. 2014;90:316-323. 

관련 콘텐츠

오픈액세스(OA) 유형

GOLD

오픈액세스 학술지에 출판된 논문

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로