CN113122610A - 一种沉积物有机污染物降解菌群的高效筛选技术 - Google Patents
一种沉积物有机污染物降解菌群的高效筛选技术 Download PDFInfo
- Publication number
- CN113122610A CN113122610A CN202110387307.1A CN202110387307A CN113122610A CN 113122610 A CN113122610 A CN 113122610A CN 202110387307 A CN202110387307 A CN 202110387307A CN 113122610 A CN113122610 A CN 113122610A
- Authority
- CN
- China
- Prior art keywords
- degradation
- sediment
- organic pollutants
- flora
- degrading
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000002957 persistent organic pollutant Substances 0.000 title claims abstract description 36
- 239000013049 sediment Substances 0.000 title claims abstract description 34
- 238000012216 screening Methods 0.000 title claims abstract description 29
- 230000000593 degrading effect Effects 0.000 title claims abstract description 28
- 238000005516 engineering process Methods 0.000 title claims abstract description 12
- 238000006731 degradation reaction Methods 0.000 claims abstract description 50
- 230000015556 catabolic process Effects 0.000 claims abstract description 38
- 230000000813 microbial effect Effects 0.000 claims abstract description 20
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 238000004088 simulation Methods 0.000 claims abstract description 14
- 230000000694 effects Effects 0.000 claims abstract description 9
- 241000894006 Bacteria Species 0.000 claims description 11
- 238000011160 research Methods 0.000 claims description 10
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 8
- 238000012360 testing method Methods 0.000 claims description 7
- 229920000742 Cotton Polymers 0.000 claims description 4
- MMDJDBSEMBIJBB-UHFFFAOYSA-N [O-][N+]([O-])=O.[O-][N+]([O-])=O.[O-][N+]([O-])=O.[NH6+3] Chemical compound [O-][N+]([O-])=O.[O-][N+]([O-])=O.[O-][N+]([O-])=O.[NH6+3] MMDJDBSEMBIJBB-UHFFFAOYSA-N 0.000 claims description 4
- 239000003344 environmental pollutant Substances 0.000 claims description 4
- 229910017053 inorganic salt Inorganic materials 0.000 claims description 4
- 231100000719 pollutant Toxicity 0.000 claims description 4
- 210000002966 serum Anatomy 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000012258 culturing Methods 0.000 claims description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 2
- 229910052799 carbon Inorganic materials 0.000 claims description 2
- 229910052757 nitrogen Inorganic materials 0.000 claims description 2
- 238000010276 construction Methods 0.000 claims 1
- 238000011156 evaluation Methods 0.000 claims 1
- 230000001360 synchronised effect Effects 0.000 claims 1
- YNPNZTXNASCQKK-UHFFFAOYSA-N phenanthrene Chemical compound C1=CC=C2C3=CC=CC=C3C=CC2=C1 YNPNZTXNASCQKK-UHFFFAOYSA-N 0.000 description 16
- 125000005575 polycyclic aromatic hydrocarbon group Chemical group 0.000 description 9
- 239000000126 substance Substances 0.000 description 4
- 241001496648 Haloplasma Species 0.000 description 3
- 229910002651 NO3 Inorganic materials 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 239000000356 contaminant Substances 0.000 description 2
- 244000005700 microbiome Species 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 241000589291 Acinetobacter Species 0.000 description 1
- 241000193830 Bacillus <bacterium> Species 0.000 description 1
- 241000605635 Lutispora Species 0.000 description 1
- 241000589516 Pseudomonas Species 0.000 description 1
- 240000002044 Rhizophora apiculata Species 0.000 description 1
- 241000827142 Sulfuricurvum Species 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 238000010170 biological method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008021 deposition Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012165 high-throughput sequencing Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 150000002987 phenanthrenes Chemical class 0.000 description 1
- 125000001792 phenanthrenyl group Chemical group C1(=CC=CC=2C3=CC=CC=C3C=CC12)* 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000005067 remediation Methods 0.000 description 1
Images
Classifications
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/02—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving viable microorganisms
- C12Q1/04—Determining presence or kind of microorganism; Use of selective media for testing antibiotics or bacteriocides; Compositions containing a chemical indicator therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
- G01N2333/195—Assays involving biological materials from specific organisms or of a specific nature from bacteria
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
- G01N2333/195—Assays involving biological materials from specific organisms or of a specific nature from bacteria
- G01N2333/21—Assays involving biological materials from specific organisms or of a specific nature from bacteria from Pseudomonadaceae (F)
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
- G01N2333/195—Assays involving biological materials from specific organisms or of a specific nature from bacteria
- G01N2333/21—Assays involving biological materials from specific organisms or of a specific nature from bacteria from Pseudomonadaceae (F)
- G01N2333/212—Moraxellaceae, e.g. Acinetobacter, Moraxella, Oligella or Psychrobacter
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
- G01N2333/195—Assays involving biological materials from specific organisms or of a specific nature from bacteria
- G01N2333/32—Assays involving biological materials from specific organisms or of a specific nature from bacteria from Bacillus (G)
Landscapes
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Organic Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Physics & Mathematics (AREA)
- Zoology (AREA)
- Immunology (AREA)
- Wood Science & Technology (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Microbiology (AREA)
- Biotechnology (AREA)
- Biophysics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- General Engineering & Computer Science (AREA)
- Toxicology (AREA)
- Genetics & Genomics (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- General Physics & Mathematics (AREA)
- Pathology (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
本发明涉及一种有机污染物降解菌群的高效筛选技术，包括以下步骤：S01采集沉积物样品，分析本底；S02构建微观模拟装置；S03设置降解菌群的筛选条件和监测时间间隔；S04绘制降解曲线，评价降解效果；S05同步分析微生物群落动态，识别富集的降解菌群。本发明可高效筛选多种目标有机污染物的降解菌群。
Description
技术领域
本发明涉及生态环境保护技术领域，具体涉及一种沉积物有机污染物降解菌群的高效筛选技术。
背景技术
多环芳烃(Polycyclic aromatic hydrocarbons，简称PAHs)是一类广泛存在于环境中的典型持久性有机物(POPs)，具有极强的“三致”效应，且结构稳定，生物难降解，通过食物链的传递会对生态环境和人体健康造成极大危害。我国沿海地区沉积物中普遍存在PAHs污染，有一定的生态风险。土壤中PAHs的去除有物理、化学和生物等方法，其中生物修复的方法有着成本低、效果好的优点。微生物作为降解土壤、沉积物中有机污染物的主体，是生物修复过程中的重点研究对象。由于微生物群落是一个非常复杂的体系，如果盲目的对其进行人工调控，结果往往事倍功半。因此，精确、快速的考察有机污染物降解过程中微生物群落的变化，高效筛选出降解菌群，才能做到有针对性的对生物修复进行强化，进而开发出更佳的修复技术。
发明内容
为达上述目的，本发明揭示一种沉积物有机污染物降解菌群的高效筛选技术，包括：采集沉积物样品，分析本底；构建微观模拟装置；设置降解菌群的筛选条件和监测时间间隔；绘制降解曲线，评价降解效果；同步分析微生物群落动态，识别富集的降解菌群。具体的：
S01：采集沉积物样品，分析本底。采集沉积物样品，分析基本理化性质和目标污染物本底。其中，基本理化指标包括总有机碳(TOC)、总氮(TN)、硝态氮(NO3)和氨态氮(NH3)。
S02：构建微观模拟装置。本发明所用微观模拟试验装置的详述如下：在相同规格的血清瓶中加入等量沉积物、无机盐培养液、目标有机污染物，并用棉花塞住瓶口，放入恒温恒湿的摇床中培养。设置多组相互独立的微观模拟试验装置，可同步开展多种有机污染物的降解菌群筛选。
S03：设置降解菌群的筛选条件和监测时间间隔。基于前期文献调研或实验研究基础，设置适用于不同有机污染物和不同污染程度的筛选条件和监测时间间隔。
S04：绘制降解曲线，评价降解效果。定期选取若干装置进行目标有机污染物残留量的检测，动态监测整个降解过程，绘制降解曲线。重点识别降解效率最高的时间节点和趋近稳定的时间节点。
S05：同步分析微生物群落动态，识别富集的降解菌群。定期同步分析有机污染物降解菌的富集情况及其群落结构动态；对比研究不同筛选条件下目标有机污染物降解过程中微生物群落变化的异同，识别富集的有机污染物降解菌群。
本发明依据前期调研与实验研究结果，针对沉积物有机污染问题，实现高效的降解菌群筛选技术，有望推进沉积物有机污染的微生物修复。
附图说明
图1是本发明的流程图；
图2是本发明实施例中沉积物低挥发多环芳烃菲的降解曲线图；
图3是本发明实施例中沉积物低挥发多环芳烃菲降解过程中微生物群落组成变化图。
具体实施方式
为使本发明的上述目的、特征和优点能够更加明显易懂，下面结合附图和具体实施方式对本发明作进一步详细的说明。
本发明流程图如图1所示。
S01：采集沉积物样品，分析本底。采集沉积物样品，分析基本理化性质和目标污染物本底。其中，主要理化指标包括TOC、TN、NO3和NH3等。
S02：构建微观模拟装置。本发明所用微观模拟试验装置的详述如下：在相同规格的血清瓶中加入等量沉积物、无机盐培养液、目标有机污染物，并用棉花塞住瓶口，放入恒温恒湿的摇床中培养。传统的研究方法必须从降解体系中取样监测，这常常会干扰后续的降解过程，特别是样品较少，初始体系无法构建的很大时，这种干扰尤为严重。而在本发明中，由于各微观模拟试验装置是相互独立的，所以能在不干扰降解进程的情况下，监测整个降解过程，这也是本方案的优点之一。由于大部分有机污染物的挥发性并不十分强烈，所以本试验可采用棉塞封口以保证氧气的供给，而无需加盖封口以防止有机污染物的挥发。
S03：设置降解菌群的筛选条件和监测时间间隔。基于前期文献调研或实验研究基础，设置适用于不同有机污染物和不同污染程度的筛选条件和监测时间间隔。
S04：绘制降解曲线，评价降解效果。定期选取若干装置进行目标有机污染物残留量的检测，动态监测整个降解过程，绘制降解曲线。重点识别降解效率最高的时间节点和趋近稳定的时间节点。
S05：同步分析微生物群落动态，识别富集的降解菌群。定期同步分析有机污染物降解菌的富集情况及其群落结构动态；对比研究不同筛选条件下目标有机污染物降解过程中微生物群落变化的异同，识别富集的有机污染物降解菌群。
实施例：
下面结合一个沉积物菲污染物降解菌群筛选的模拟实验为实施例详细说明本发明。包括如下步骤：
S01：采集沉积物样品，分析本底。采集沉积物样品，分析基本理化性质和目标污染物本底。本实施例研究的滨海红树林沉积物基本理化性质：TOC为11.91％±0.35％，TN为0.23％±0.01％，NO3为11.91±0.35mg·kg-1，NH3为224.47±21.83mg·kg-1。目标有机污染物菲在沉积物中的本底浓度为416.00±82.76μg·kg-1。
S02：构建微观模拟装置。本发明所用微观模拟试验装置的详述如下：在相同规格的血清瓶中加入等量沉积物、无机盐培养液、多环芳烃菲，并用棉花塞住瓶口，放入温度恒为28℃，湿度恒为80％的摇床中培养。
S03：设置降解菌群的筛选条件和监测时间间隔。本发明实施例设置本底组和污染组对比分析的筛选条件。实施例沉积物中多环芳烃类的菲的本底值已知；污染组加入的Phe为1500ng/g，低浓度实验组沉积物中Phe的背景值为1868.45±244.95ng/g。依据前期研究基础，设定时间间隔为14天。
S04：绘制降解曲线，评价降解效果。本发明实施例中，以14天为间隔，每批次选择3个装置进行菲残留量检测，形成菲的降解曲线图(如图2所示)。前28天的降解效率最高，尤其是污染组；28～42天时，降解不明显；42～56天时，降解率略有增加；说明前28天是多环芳烃菲高效降解的重要时间节点，完成60％以上的降解。
S05：同步分析微生物群落动态，识别富集的降解菌群。本发明实施例中，基于高通量测序结果的分析发现，随降解时间增加，微生物群落组成也在不断变化(如图3所示)；尤其是在前28天，沉积物中Haloplasma属、Bacillus属、Pseudomonas属、Lutispora属、Acinetobacter属等菌群表现突出。相比于本底组，污染组Sulfuricurvum属在后期存在明显富集；同时，Haloplasma属菌群富集更明显，说明在菲的降解过程中该菌属的快速增加起重要作用。
Claims (6)
1.一种沉积物有机污染物降解菌群的高效筛选技术，其特征在于：包括采集沉积物样品，分析本底；构建微观模拟装置；设置降解菌群的筛选条件和监测时间间隔；绘制降解曲线，评价降解效果；同步分析微生物群落动态，识别富集的降解菌群。
2.根据权利要求1所述的一种沉积物有机污染物降解菌群的高效筛选技术，其特征在于：所述采集沉积物样品，分析本底，包括：分析沉积物基本理化性质和目标污染物本底。其中，基本理化指标包括总有机碳(TOC)、总氮(TN)、硝态氮(NO3)和氨态氮(NH3)。
3.根据权利要求1所述的一种沉积物有机污染物降解菌群的高效筛选技术，其特征在于：所述构建微观模拟装置是指：在相同规格的血清瓶中加入等量沉积物、无机盐培养液、目标有机污染物，并用棉花塞住瓶口，放入恒温恒湿的摇床中培养。设置多组相互独立的微观模拟试验装置，可同步开展多种有机污染物的降解菌群筛选。
4.根据权利要求1所述的一种沉积物有机污染物降解菌群的高效筛选技术，其特征在于：所述设置降解菌群的筛选条件和监测时间间隔包括：基于前期文献调研或实验研究基础，设置适用于不同有机污染物和不同污染程度的筛选条件和监测时间间隔。
5.根据权利要求1所述的一种沉积物有机污染物降解菌群的高效筛选技术，其特征在于：所述绘制降解曲线，评价降解效果，主要包括：定期选取若干装置进行目标有机污染物残留量的检测，动态监测整个降解过程，绘制降解曲线。重点识别降解效率最高的时间节点和趋近稳定的时间节点。
6.根据权利要求1所述的一种沉积物有机污染物降解菌群的高效筛选技术，其特征在于：所述同步分析微生物群落动态，识别富集的降解菌群，主要包括：定期同步分析有机污染物降解菌的富集情况及其群落结构动态；对比研究不同筛选条件下目标有机污染物降解过程中微生物群落变化的异同，识别富集的有机污染物降解菌群。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110387307.1A CN113122610A (zh) | 2021-04-09 | 2021-04-09 | 一种沉积物有机污染物降解菌群的高效筛选技术 |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110387307.1A CN113122610A (zh) | 2021-04-09 | 2021-04-09 | 一种沉积物有机污染物降解菌群的高效筛选技术 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113122610A true CN113122610A (zh) | 2021-07-16 |
Family
ID=76775883
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110387307.1A Pending CN113122610A (zh) | 2021-04-09 | 2021-04-09 | 一种沉积物有机污染物降解菌群的高效筛选技术 |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113122610A (zh) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102994431A (zh) * | 2012-12-20 | 2013-03-27 | 天津理工大学 | 一种用于修复石油污染的盐碱土壤的微生物菌剂及制备 |
| CN103045507A (zh) * | 2012-12-12 | 2013-04-17 | 轻工业环境保护研究所 | 高效降解高分子量多环芳烃的细菌分离方法及其应用 |
| CN105802883A (zh) * | 2016-04-12 | 2016-07-27 | 中国科学院南京土壤研究所 | 一种提升高环PAHs降解菌筛选效率的方法 |
| CN109365524A (zh) * | 2018-12-21 | 2019-02-22 | 北京大学深圳研究生院 | 一种复合有机污染的生物修复方法 |
| CN109880780A (zh) * | 2019-04-24 | 2019-06-14 | 安徽工业大学 | 一种多环芳烃高效降解菌及其富集筛选方法和应用 |
-
2021
- 2021-04-09 CN CN202110387307.1A patent/CN113122610A/zh active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103045507A (zh) * | 2012-12-12 | 2013-04-17 | 轻工业环境保护研究所 | 高效降解高分子量多环芳烃的细菌分离方法及其应用 |
| CN102994431A (zh) * | 2012-12-20 | 2013-03-27 | 天津理工大学 | 一种用于修复石油污染的盐碱土壤的微生物菌剂及制备 |
| CN105802883A (zh) * | 2016-04-12 | 2016-07-27 | 中国科学院南京土壤研究所 | 一种提升高环PAHs降解菌筛选效率的方法 |
| CN109365524A (zh) * | 2018-12-21 | 2019-02-22 | 北京大学深圳研究生院 | 一种复合有机污染的生物修复方法 |
| CN109880780A (zh) * | 2019-04-24 | 2019-06-14 | 安徽工业大学 | 一种多环芳烃高效降解菌及其富集筛选方法和应用 |
Non-Patent Citations (3)
| Title |
|---|
| ZHENHUA ZHAO ET AL.: "The responding and ecological contribution of biofilm-leaves of submerged macrophytes on phenanthrene dissipation in sediments", 《ENVIRONMENTAL POLLUTION》 * |
| 张永敏 等: "沉积物中菲高效降解菌群的筛选鉴定及降解特性", 《生物技术通报》 * |
| 袁军: "印度洋深海多环芳烃降解菌的多样性分析及降解菌新种的分类鉴定与降解机理初步研究", 《中国优秀博硕士学位论文全文数据库(博士) 工程科技Ⅰ辑》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7150833B2 (en) | Method for forming microcultures within porous media | |
| JP4633496B2 (ja) | 新規微生物 | |
| CN107497850B (zh) | 一种用于修复污染土壤的复配生物制剂 | |
| Yang et al. | Submicron aerosols share potential pathogens and antibiotic resistomes with wastewater or sludge | |
| Wang et al. | Seasonal changes in bacterial communities cause foaming in a wastewater treatment plant | |
| CN114410525B (zh) | 一株对高环多环芳烃具有降解性的海杆菌及其应用 | |
| Brockman | Nucleic‐acid‐based methods for monitoring the performance of in situ bioremediation | |
| CN114540226B (zh) | 石油污染土壤中多环芳烃降解菌株ljb-25及其菌剂和应用 | |
| Marzuki et al. | Investigation of Biodegradable Bacteria as Bio indicators of the Presence of PAHs Contaminants in Marine Waters in the Marine Tourism Area of Makassar City | |
| Jones et al. | Kinetics of mineralization of phenols in lake water | |
| Allamin et al. | Occurrence of hydrocarbon degrading bacteria in soil in Kukawa, Borno State | |
| CN113122610A (zh) | 一种沉积物有机污染物降解菌群的高效筛选技术 | |
| Ukpaka et al. | Adsorbent in bioremediation of crude oil polluted environment: Influence of physicochemical characteristics of various saw dusts | |
| CN113512599A (zh) | 一种污染物修复菌群的修复能力量化评估方法 | |
| AO et al. | Microbial diversity of petroleum polluted soil at Ayetoro community in Ilaje riverine oil producing areas of Ondo State, Nigeria | |
| Tariq et al. | Bioremediation of Mercury Compounds by using Immobilized Nitrogen-fixing Bacteria. | |
| Johnny et al. | Hydrocarbonoclastic potentials of Enterobacteriaceae isolated from the crude oil polluted Iko river estuary and freshwater ecosystem of the Niger Delta Region of Nigeria | |
| Silini et al. | Isolation and preliminary identification of actinomycetes isolated from a wastewater treatment plant and capable of growing on methyl ethyl ketone as a sole source of carbon and energy | |
| Zhang et al. | Influence of Simplified Microbial Community Biofilms on Bacterial Retention in Porous Media under Conditions of Stormwater Biofiltration | |
| CN110317742B (zh) | 一株耐铬的石油烃降解菌株Tph3-32及其应用 | |
| Napoleon et al. | Exploration of hydrocarbon degrading bacteria on soils contaminated by crude oil from South Sumatera | |
| Feknous et al. | Growth of indigenous bacteria Vibrio alginolyticus and Dietzia sp. isolated from the east coast of Algeria in the presence of monoaromatic hydrocarbons | |
| Dott et al. | Biochemical methods for automated bacterial identification and testing metabolic activities in water and wastewater | |
| Zhang et al. | Time-and size-resolved bacterial aerosol dynamics in highly polluted air: new clues for haze formation mechanism | |
| Peguilhan et al. | Experimental and methodological framework for the assessment of nucleic acids in airborne microorganisms |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210716 |
|
| RJ01 | Rejection of invention patent application after publication |