4.6 Review

Analytical Tools for Disease Diagnosis in Animals via Fecal Volatilome

Journal

CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY
Volume 52, Issue 5, Pages 917-932

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/10408347.2020.1843130

Keywords

Feces; volatile organic compounds; volatilome; animal disease; diagnosis

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Volatilome analysis is gaining attention for disease diagnosis in animals and humans. Fecal samples are being proposed as a fast, easy, and noninvasive method for disease diagnosis. However, fecal samples are complex and require special consideration and preparation. This review evaluates the analytical methods, advantages, and limitations in studies focused on the diagnosis of animal diseases through fecal volatilome.
Volatilome analysis is growing in attention for the diagnosis of diseases in animals and humans. In particular, volatilome analysis in fecal samples is starting to be proposed as a fast, easy and noninvasive method for disease diagnosis. Volatilome comprises volatile organic compounds (VOCs), which are produced during both physiological and patho-physiological processes. Thus, VOCs from a pathological condition often differ from those of a healthy state and therefore the VOCs profile can be used in the detection of some diseases. Due to their strengths and advantages, feces are currently being used to obtain information related to health status in animals. However, they are complex samples, that can present problems for some analytical techniques and require special consideration in their use and preparation before analysis. This situation demands an effort to clarify which analytic options are currently being used in the research context to analyze the possibilities these offer, with the final objectives of contributing to develop a standardized methodology and to exploit feces potential as a diagnostic matrix. The current work reviews the studies focused on the diagnosis of animal diseases through fecal volatilome in order to evaluate the analytical methods used and their advantages and limitations. The alternatives found in the literature for sampling, storage, sample pretreatment, measurement and data treatment have been summarized, considering all the steps involved in the analytical process.

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