The composition of volatile organic compounds (VOCs) in large-scale livestock farms is complex, which seriously affects the health and difficult to evaluate. In order quickly analyze pollution degree VOCs farms, electronic nose technology was used this study detect gases pig chicken houses, respectively. Firstly, gas chromatography–mass spectrometry (GC–MS) were houses at different time locatio...

Due to their inhibitory effect on the growth and fermentation of yeasts, medium-chain fatty acids can be used for production naturally sweet wines. Addition octanoic acid, decanoic acid or combinations is able stop alcoholic fermentation, reducing at same time doses sulphur dioxide addition needed goal in classical technologies. Doses range 10–30 mg L−1 these were used, aroma profile wines obta...

there have been few longitudinal studies on sick building syndrome (sbs), which include headache, fatigue, and runny nose. we considered effect of sick building syndrome with illnesses like headache, fatigue and runny nose. thus, we designed a questionnaire and asked from male of dormitory residence. questions of the questionnaire were more about known symptoms of buildings (headache, fatigue, ...

This study aimed (i) to assess the ability of electronic nose (e-nose) technology to differentiate between blood samples of experimentally infected and non-infected subjects, and (ii) to evaluate e-nose responses given by volatile organic compounds in relation to the acute phase reaction generated in the host. In an animal model of gram-negative bacterial infection (20 calves; intratracheal ino...

The electronic nose (e-nose) is designed to crudely mimic the mammalian nose in that most contain sensors that non-selectively interact with odor molecules to produce some sort of signal that is then sent to a computer that uses multivariate statistics to determine patterns in the data. This pattern recognition is used to determine that one sample is similar or different from another based on h...

In this paper, electronic nose (E-nose) was used to discriminate the 11 Chinese Materia Medica (CMM) from Umbelliferae by the difference of their odors. The E-nose generated data were analyzed by discriminant function analysis (DFA) and the responses of 18 sensors of E-nose were evaluated by CA analysis. Results showed that a rapid evaluation of complex response of the samples could be obtained...