\documentclass[english,german]{scrartcl}
\usepackage[latin1]{inputenc}
\usepackage{geometry}
\geometry{verbose,a4paper,tmargin=1.75cm,bmargin=2cm,lmargin=2cm,rmargin=2cm,headheight=0.8cm,headsep=0.5cm,footskip=0.5cm}
\usepackage{babel}
\usepackage{url}
\urlstyle{same}
\newcommand\email{\begingroup \urlstyle{same}\Url}\usepackage{graphicx}
\usepackage{units}
\usepackage{tabularx}
\usepackage{wasysym} % enable use of \permil instead of \textperthousand
\usepackage{marvosym}
\usepackage{arabtex}
\usepackage{hyphenat}
\usepackage{booktabs}
\usepackage{mdwlist}
\renewcommand{\thefootnote}{\relax}
\usepackage{index}
\newindex{key}{kdx}{knd}{Keywords}
\newindex{author}{idx}{ind}{Authors}
\usepackage{fancyhdr}
\pagestyle{fancy}
\renewcommand{\headrulewidth}{0pt}
\fancyfoot{}
\usepackage{ifpdf}
\ifpdf
%\usepackage[activate]{pdfcprot}
%\usepackage[owner=Tapioka, print=true, copy=true, edit=false, annotate=false,set]{pdfcrypt}
%encryption: not supported any more (since pdftex 1.10)
\usepackage[pdftex]{thumbpdf}
\usepackage[pdftex]{hyperref}
\hypersetup{pdftitle={Camel Milk Post"=harvest Losses Based on Physiochemical and Microbiological Deterioration Along Pastoral Value in Kenya},pdfauthor={Nicanor Odongo, Peter Lamuka, Joseph Matofari, George Abong'},pdfsubject={Tropentag 2016: Abstract},pdfkeywords={Camel milk, microbiological quality, pastoral value chain, physiochemical quality, post-harvest losses},pdfpagemode=None,colorlinks=true}
\else
\usepackage{ae}
\usepackage{textcomp}
\fi
\begin{document}
\ifpdf
\parbox[b]{2.5cm}{\resizebox*{2.5cm}{!}{\includegraphics{dtt2016.jpg}}}
\else
\parbox[b]{2.5cm}{\resizebox*{2.5cm}{!}{\includegraphics{dtt2016.eps}}}
\fi
\hfill
\parbox[b]{13.4cm}{\centering \large{\textbf{Tropentag, September 18-21, 2016, Vienna, Austria}}\\[1ex] \Large{``Solidarity in a competing world ---\\fair use of resources''\\[2ex]}}
\hspace{0.1cm}
\begin{center}
\Large{\textbf{Camel Milk Post"=harvest Losses Based on Physiochemical and Microbiological Deterioration Along Pastoral Value in Kenya\footnote{\textbf{Contact Address:} Nicanor Odongo, University of Nairobi, Dept. of Food Science, Nutriton and Technology, Nairobi, Kenya, \mbox{e-mail}: \email{obieronicanor@yahoo.com}}\\[0.8ex]}}
\normalsize{\textsc{Nicanor Odongo$^{1}$, Peter Lamuka$^{2}$, Joseph Matofari$^{3}$, George Abong'$^{4}$}}
\end{center}
\begin{itemize*}
\item[]{\small{\textit{$^{1}$University of Nairobi, Dept. of Food Science, Nutriton and Technology, Kenya}}}
\item[]{\small{\textit{$^{2}$University of Nairobi, Department of Food Science, Nutrition and Tehnology, }}}
\item[]{\small{\textit{$^{3}$Egerton University, Dept. of Dairy, Food Science and Technology, Kenya}}}
\item[]{\small{\textit{$^{4}$University of Nairobi, Departemnt of Food Science, Nutrition and Technology, Kenya}}}
\end{itemize*}
\index[author]{Odongo, Nicanor}
\index[author]{Lamuka, Peter}
\index[author]{Matofari, Joseph}
\index[author]{Abong', George}
\begin{center}
\vspace{1.1cm}
\textbf{Abstract}
\begin{abstract}
\normalsize{
Camel milk experiences a lot of constrains which are likely to lead to high post"=harvest losses based on physicochemical and microbiological changes. However, the magnitude of these quality and quantity losses at different stages along the pastoral camel milk value chain have not been quantified. The objective of this study was to quantify post"=harvest losses at different stages along the pastoral camel milk value chain based on microbiological and physiochemical deterioration. Milk samples were collected and transported to the laboratory within four hours for analysis maintained at 80C. The study established the mean pH along the chain to range from 6.5 to 6.6 and did not show significant ($p > 0.05$) difference along the chain. The percentage lactic acid ranged from 1.63 to 2.07 and showed significant ($p < 0.05$) difference along the chain. About 4\%and \mbox{5\,\%} of milk delivered at bulking/cooling hub in Isiolo town and terminal market at Eastleigh area, Nairobi failed alcohol test. Total viable count was the highest along the chain (1.78\,$\times$\,106 to 8.1\,$\times$\,108) which did not show wide significant ($p < 0.05$) difference while \textit{Staphylococcus aureus} showed the lowest count along the chain (1.3\,$\times$\,104 to 2.0\,$\times$\,106) but showed the widest variation along the chain. Generally the microbial counts increased along the chain. More milk was lost due to Total viable cunt standard than coliform counts standard. Approximately \mbox{100\,\%} of milk at the terminal Eastleigh market, Nairobi were should be due to TVC and \mbox{92.5\,\%} due to coliform counts. Camel milk value chain was therefore shown to of poor microbiological quality which results to a lot of milk post"=harvest losses}

\vspace{0.5cm}
\end{abstract}
\end{center}
\noindent \textbf{Keywords:} Camel milk, microbiological quality, pastoral value chain, physiochemical quality, post"=harvest losses
\index[key]{Camel milk}
\index[key]{Microbiological quality}
\index[key]{Pastoral value chain}
\index[key]{Physiochemical quality}
\index[key]{Post"=harvest losses}
\end{document}
