|
|
|
|
|
|
Screening of Antibiotic-Resistant Bacteria in Activated Sludge and Study of Their Raman Spectroscopy |
YU Qiang1, CHEN You-peng1,2*, GUO Jin-song1,2 |
1. Key Laboratory of Reservoir Aquatic Environment, Chongqing Institute of Green and Intelligence Technology, Chinese Academy of Sciences, Chongqing 400714, China
2. Urban Construction and Environmental Engineering, Chongqing University, Chongqing 400045, China |
|
|
Abstract Antibiotic pharmaceutical wastewater is difficult to be treated in wastewater treatment field. The study of interaction mechanism between antibiotic and microorganism is of great significance for solving antibiotic wastewater treatment problem. As Raman spectroscopy offers a nondestructive, noninvasive, and water-insensitive test tool, it has been more and more widely applied in the study of biology and medicine. This work isolated 4 strains of antibiotic-resistant bacteria from activated sludge taken from sewage treatment reactor by using streak plate method and spread plate method,and the drug degradation effect of these strains is assessed, which shows the highest degradation rate reached 45.44%. Besides, sequence of these strains’ 16S rRNA gene was analyzed to identify them, and the result shows that these strains belong to Aeromonas sp., Bacillus sp. and Rhodococcus sp.. Raman spectroscopies of these stains under different conditions were taken to investigate the best test condition of bacteria’s Raman spectroscopy, and the result shows that CaF2 can be the best substrate. Then the Raman spectroscopies of these strains were obtained and the difference among them is analyzed by using principal component analysis, and three principal components were extracted, of which the accumulated load reached 83.9%. Among all the variables, 748, 1 003, 1 126 cm-1 belong to the first principal component, 1 661, 1 448 cm-1 belong to the second, and 855 cm-1 belongs to the third. This research characterized biological macromolecules of stains screened from activated sludge by Raman spectroscopy and well distinguished them, proving the reliability and superiority of Raman spectroscopy for applying to mechanism study of microorganism interaction in wastewater treatment.
|
Received: 2017-09-13
Accepted: 2018-01-22
|
|
Corresponding Authors:
CHEN You-peng
E-mail: ypchen@cigit.ac.cn
|
|
[1] Cetecioglu Z, Ince B, Gros M, et al. Science of the Total Environment, 2015, 536: 667.
[2] Yang S F, Lin C F, Lin A Y, et al. Water Research, 2011, 45(11): 3389.
[3] Zhu Y, Wang Y, Jiang X, et al. Chemical Engineering Journal, 2017, 325: 300.
[4] Müller E, Schüssler W, Horn H, et al. Chemosphere, 2013, 92(8): 969.
[5] Carey P R, Heidari-Torkabadi H. Annals of the New York Academy of Sciences, 2015, 1354(1): 67.
[6] Sharma G, Deckert-Gaudig T, Deckert V. Advanced Drug Delivery Reviews, 2015, 89(19): 42.
[7] Neugebauer U, Schmid U, Baumann K, et al. Chem Phys Chem, 2007, 8(1): 124.
[8] Groe C, Bergner N, Dellith J, et al. Analytical Chemistry, 2015, 87(4): 2137.
[9] Fu D, Yu Y, Folick A, et al. Journal of the American Chemical Society, 2014, 136(24): 8820.
[10] Carey P R, Heidari-Torkabadi H. Annals of the New York Academy of Sciences, 2015, 1354(1): 67.
[11] Cheong Y, Kim Y J, Kang H, et al. Microscopy Research & Technique, 2017, 80(2): 177.
[12] Jung G B, Nam S W, Choi S, et al. Biomedical Optics Express, 2014, 5(9): 3238.
[13] Assmann C, Kirchhoff J, Beleites C, et al. Analytical and Bioanalytical Chemistry, 2015, 407(27): 8343.
[14] Kong L, Setlow P, Li Y. Journal of Biomedical Optics, 2014, 19(1): 011003.
[15] Kogermann K, Putrin M, Tenson T. European Journal of Pharmaceutical Sciences, 2016, 95: 2.
[16] Dina N E, Colni瘙塅 A, Leopold N, et al. Procedia Technology, 2017, 27: 203.
[17] Martínezmoreno J, Merino V, Nácher A, et al. Journal of Arthroplasty, 2017,32(10):3126.
[18] GU Jia-ping, WANG Peng-hua, YUAN Tao, et al(顾佳萍, 王朋华, 袁 涛, 等). Journal of Shanghai Jiaotong University(上海交通大学学报), 2010, 44(11): 1546.
[19] Kallepitis C, Bergholt M S, Mazo M M, et al. Nature Communications, 2017, 8: 14843.
[20] XU Yi-ming(许以明). Raman Spectroscopy in Application of Structure Biology(拉曼光谱及其在结构生物学中的应用). Beijing: Chemical Industry Press(北京:化学工业出版社),2005. 11. |
[1] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[2] |
WANG Fang-yuan1, 2, HAN Sen1, 2, YE Song1, 2, YIN Shan1, 2, LI Shu1, 2, WANG Xin-qiang1, 2*. A DFT Method to Study the Structure and Raman Spectra of Lignin
Monomer and Dimer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 76-81. |
[3] |
XING Hai-bo1, ZHENG Bo-wen1, LI Xin-yue1, HUANG Bo-tao2, XIANG Xiao2, HU Xiao-jun1*. Colorimetric and SERS Dual-Channel Sensing Detection of Pyrene in
Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 95-102. |
[4] |
WANG Xin-qiang1, 3, CHU Pei-zhu1, 3, XIONG Wei2, 4, YE Song1, 3, GAN Yong-ying1, 3, ZHANG Wen-tao1, 3, LI Shu1, 3, WANG Fang-yuan1, 3*. Study on Monomer Simulation of Cellulose Raman Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 164-168. |
[5] |
WANG Cai-ling1,ZHANG Jing1,WANG Hong-wei2*, SONG Xiao-nan1, JI Tong3. A Hyperspectral Image Classification Model Based on Band Clustering and Multi-Scale Structure Feature Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 258-265. |
[6] |
WANG Lan-hua1, 2, CHEN Yi-lin1*, FU Xue-hai1, JIAN Kuo3, YANG Tian-yu1, 2, ZHANG Bo1, 4, HONG Yong1, WANG Wen-feng1. Comparative Study on Maceral Composition and Raman Spectroscopy of Jet From Fushun City, Liaoning Province and Jimsar County, Xinjiang Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 292-300. |
[7] |
LI Wei1, TAN Feng2*, ZHANG Wei1, GAO Lu-si3, LI Jin-shan4. Application of Improved Random Frog Algorithm in Fast Identification of Soybean Varieties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3763-3769. |
[8] |
WANG Zhi-qiang1, CHENG Yan-xin1, ZHANG Rui-ting1, MA Lin1, GAO Peng1, LIN Ke1, 2*. Rapid Detection and Analysis of Chinese Liquor Quality by Raman
Spectroscopy Combined With Fluorescence Background[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3770-3774. |
[9] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
[10] |
LIU Hao-dong1, 2, JIANG Xi-quan1, 2, NIU Hao1, 2, LIU Yu-bo1, LI Hui2, LIU Yuan2, Wei Zhang2, LI Lu-yan1, CHEN Ting1,ZHAO Yan-jie1*,NI Jia-sheng2*. Quantitative Analysis of Ethanol Based on Laser Raman Spectroscopy Normalization Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3820-3825. |
[11] |
LU Wen-jing, FANG Ya-ping, LIN Tai-feng, WANG Hui-qin, ZHENG Da-wei, ZHANG Ping*. Rapid Identification of the Raman Phenotypes of Breast Cancer Cell
Derived Exosomes and the Relationship With Maternal Cells[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3840-3846. |
[12] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
[13] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
[14] |
FANG Zheng, WANG Han-bo. Measurement of Plastic Film Thickness Based on X-Ray Absorption
Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3461-3468. |
[15] |
GUO He-yuanxi1, LI Li-jun1*, FENG Jun1, 2*, LIN Xin1, LI Rui1. A SERS-Aptsensor for Detection of Chloramphenicol Based on DNA Hybridization Indicator and Silver Nanorod Array Chip[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3445-3451. |
|
|
|
|