Analysing informal milk supply chains data to identify seasonal occurences of antibiotic residues

Naveed Aslam, Sosheel Godfrey, Mateen Abbas, Muhammad Yasin Tipu, Muhammad Ishaq, David M. McGill, Hassan Warriach, Muhammad Husnain, Peter Wynn

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

Informal milk marketing chains provide the major milk supply link from
smallholder dairy production systems to consumers in developing countries. Prevalence risk of antibiotic residues was investigated in milk samples (n = 528) collected from different levels of informal supply chains in Pakistan from 2012–2013. After screening, all positive samples were further analyzed by High Performance Liquid Chromatography to quantify individual β-lactam residues. Fifteen percent of the total samples were found to be positive for at least one of the antibiotics. All positive samples (81/528) were positive for amoxicillin. Percentage of positive samples for ampicillin and penicillin was 12.1 and 6.4% respectively. Percentages of positive samples collected from farmers, small collectors, large collectors and retailers were 17.5, 15.1, 8.3 and 13.5 respectively. When relating to season of collection 11.3, 10.2, 19.1, 17.9 and 16.3% of samples in autumn, monsoon, spring, summer and winter were found positive. Concentrations of amoxicillin, ampicillin and penicillin in positive samples were 79.5 ± 12.15, 106.6 ± 12.49 and 13.7 ± 4.2μ,gkg-1 respectively. Occurrence of these high levels of drug residues demand mass awareness programs associated with the implementation oflegislation and its enforcement designed to protect the consumer.
Original languageEnglish
Title of host publicationStatistics for data science and policy analysis
EditorsAzizur Rahman
Place of PublicationSingapore
PublisherSpringer
Chapter10
Pages129-142
Number of pages14
ISBN (Electronic)9789811517358
ISBN (Print)9789811517341
DOIs
Publication statusPublished - 01 Apr 2020
EventThe 2nd Applied Statistics and Policy Analysis Conference: ASPAC2019 - Charles Sturt University, Wagga Wagga, Australia
Duration: 05 Sep 201906 Sep 2019
http://csusap.csu.edu.au/~azrahman/ASPAC2019/
http://csusap.csu.edu.au/~azrahman/ASPAC2019/Program%20draft.pdf?attredirects=0&d=1 (program)
http://csusap.csu.edu.au/~azrahman/ASPAC2019/ASPAC2019_Refereed_Book%20of%20Abstracts.pdf?attredirects=0&d=1 (book of abstracts)
https://ebookcentral.proquest.com/lib/CSUAU/detail.action?docID=6152166 (proceedings)

Conference

ConferenceThe 2nd Applied Statistics and Policy Analysis Conference
Abbreviated titleEffective policy through the use of big data, accurate estimates and modern computing tools and statistical modelling
Country/TerritoryAustralia
CityWagga Wagga
Period05/09/1906/09/19
OtherProceedings due for publication May 2020 https://www.springer.com/gp/book/9789811517341
Internet address

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