10.26091/ESRNZ.9702620.v1
Dengmiao Cheng
Dengmiao
Cheng
Yao Feng
Yao
Feng
Yuanwang Liu
Yuanwang
Liu
Jinpeng Li
Jinpeng
Li
Jianming Xue
Jianming
Xue
Zhaojun Li
Zhaojun
Li
Quantitative models for predicting adsorption of oxytetracycline, ciprofloxacin and sulfamerazine to swine manures with contrasting properties
Institute of Environmental Science and Research
2019
Oxytetracycline
Ciprofloxacin
Sulfamerazine
Swine manure
Distribution Coefficients
Antibiotics in Environment
Farm manure
Livestock manure
Animal Management
Farm Management, Rural Management and Agribusiness
Farming Systems Research
Animal Growth and Development
2019-08-22 04:52:52
Journal contribution
https://research.esr.cri.nz/articles/journal_contribution/Quantitative_models_for_predicting_adsorption_of_oxytetracycline_ciprofloxacin_and_sulfamerazine_to_swine_manures_with_contrasting_properties/9702620
<p>Understanding antibiotic adsorption in livestock manures is
crucial to assess the fate and risk of antibiotics in the environment. In this
study, three quantitative models developed with swine manure-water distribution
coefficients (LgK<sub>d</sub>) for oxytetracycline (OTC), ciprofloxacin (CIP) and
sulfamerazine (SM1) in swine manures. Physicochemical parameters (n = 12) of
the swine manure were used as independent variables using partial least-squares
(PLSs) analysis. The cumulative cross-validated regression coefficients (Q2<sub>cum</sub>)
values, standard deviations (SDs) and external validation coefficient (Q2<sub>ext</sub>)
ranged from 0.761 to 0.868, 0.027 to 0.064, and 0.743 to 0.827 for the three
models; as such, internal and external predictability of the models were
strong. The pH, soluble organic carbon (SOC) and nitrogen (SON), and Ca were
important explanatory variables for the OTC-Model, pH, SOC, and SON for the
CIP-model, and pH, total organic nitrogen (TON), and SOC for the SM1-model. The
high VIPs (variable importance in the projections) of pH (1.178–1.396), SOC
(0.968–1.034), and SON (0.822 and 0.865) established these physicochemical
parameters as likely being dominant (associatively) in affecting transport of
antibiotics in swine manures.</p>