IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i6p1973-d333566.html
   My bibliography  Save this article

Optimization of Culture Conditions for Amoxicillin Degrading Bacteria Screened from Pig Manure

Author

Listed:
  • Xuanjiang Yang

    (Institute of Intelligent Machinery, Hefei Institute of Material Sciences, Chinese Academy of Sciences, Hefei 230031, China
    Hefei Institutes of Physical Science, Chinese Academy of Sciences, University of Science and Technology of China, Hefei 230026, China)

  • Panpan Guo

    (Institute of Intelligent Machinery, Hefei Institute of Material Sciences, Chinese Academy of Sciences, Hefei 230031, China)

  • Miao Li

    (Institute of Intelligent Machinery, Hefei Institute of Material Sciences, Chinese Academy of Sciences, Hefei 230031, China)

  • Hualong Li

    (Institute of Intelligent Machinery, Hefei Institute of Material Sciences, Chinese Academy of Sciences, Hefei 230031, China)

  • Zelin Hu

    (Institute of Intelligent Machinery, Hefei Institute of Material Sciences, Chinese Academy of Sciences, Hefei 230031, China)

  • Xianwang Liu

    (Institute of Intelligent Machinery, Hefei Institute of Material Sciences, Chinese Academy of Sciences, Hefei 230031, China)

  • Qiang Zhang

    (Department of Biosystems Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada)

Abstract

(1) Objective: The objective of this study was to screen amoxicillin (AMX)-degrading bacterial strains in pig manure and optimize the fermentation conditions for these strains to achieve high fermentation rate, which can provide an effective way for the practical application of bacterial strains as antibiotic-degrading bacterial in treating livestock waste for antibiotic residues. (2) Methods: Antibiotic susceptibility tests and high-performance liquid chromatography tandem mass spectrometry (HPLC-MS/MS) were employed to screen AMX-degrading bacterial strains in pig manure. The culture conditions were optimized for AMX-degrading bacterial strains using Plackeet–Burman design (PBD), the steepest ascent design, and the response surface methods, coupled with the Box–Behnken design (BBD). The effects of culture time, temperature, rotator (mixing) speed, inoculum level, and initial pH value on the growth of AMX-degrading strains were investigated. Experimental data obtained from BBD were utilized to generate a second-order polynomial regression model for evaluating the effects of the tested variables on the optical density at 600 nm (OD 600 ) of culture solutions as the growth indicator for the screened AMX-degrading strains. (3) Results: The initial pH, culture time, and the inoculum level had significant effects on the OD 600 value (growth) of the screened AMX-degrading strains. The initial pH value was found to be the most critical factor influencing the growth of bacteria. The optimized culture condition for the bacterial growth determined by the response surface methodology was: the initial pH of 6.9, culture time of 52 h, and inoculum level of 2%. The average OD value of 12 different fermentation conditions in the initial fermentation tests in this study was 1.72 and the optimization resulted in an OD value of 3.00. The verification experiment resulted in an OD value of 2.94, which confirmed the adequacy of the optimization model for the determining the optimal culture condition. (4) Conclusions: The growth of the screened strain of AMX-degrading bacteria could be optimized by changing the fermentation conditions. The optimization could be achieved by using the Box–Behnken response surface method and Plackett–Burman experimental design.

Suggested Citation

  • Xuanjiang Yang & Panpan Guo & Miao Li & Hualong Li & Zelin Hu & Xianwang Liu & Qiang Zhang, 2020. "Optimization of Culture Conditions for Amoxicillin Degrading Bacteria Screened from Pig Manure," IJERPH, MDPI, vol. 17(6), pages 1-15, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:1973-:d:333566
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/6/1973/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/6/1973/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xuanjiang Yang & Miao Li & Panpan Guo & Hualong Li & Zelin Hu & Xianwang Liu & Qiang Zhang, 2019. "Isolation, Screening, and Characterization of Antibiotic-Degrading Bacteria for Penicillin V Potassium (PVK) from Soil on a Pig Farm," IJERPH, MDPI, vol. 16(12), pages 1-9, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kang Hyun Lee & Soo Kweon Lee & Jeongho Lee & Seunghee Kim & Chulhwan Park & Seung Wook Kim & Hah Young Yoo, 2021. "Improvement of Enzymatic Glucose Conversion from Chestnut Shells through Optimization of KOH Pretreatment," IJERPH, MDPI, vol. 18(7), pages 1-13, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:1973-:d:333566. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.