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Sarımsağın (Allium sativum L.) tüketimden yaklaşık bir gün sonra nefeste kalan çok güçlü bir kokusu vardır. Sarımsak kokusunun giderilme mekanizması, koku giderici gıdanın fenolik içeriği ve enzimatik aktivitesi ile ilişkilendirilmiştir. Bu çalışmada, çeşitli bitkilerin (nane, kekik, biberiye ve kekik) hem taze hem de kuru formunun çiğ sarımsaktaki uçucu bileşiklerden alil merkaptan, alil metil disülfür, allil metil sülfür ve dialil disülfidin içeriğinin azaltılması üzerine etkinliği incelenmiştir. Sarımsaktaki uçucu bileşenlerin konsantrasyonu, seçilen iyon akış tüpü kütle spektrometresi (SIFT-MS) ile 30 dakika boyunca tepe boşluğundan ölçülmüştür. Genel olarak, kurutulmuş bitkilerin, seçili uçucu bileşenlerden kaynaklanan kokularının giderilmesinde taze bitkilerden daha etkili olduğu saptanmıştır. Taze biberiye, taze otlar arasında en güçlü koku giderme etkisine sahipken, kurutulmuş otlar arasında en güçlü etkiyi kurutulmuş nane göstermiştir. Taze kekik, sarımsak uçucularının deodorizasyonunda en düşük etkiyi göstermiştir., Garlic (Allium sativum L.) has a very strong odor, which lingers on the breath for approximately a day, after consumption. The deodorization mechanism for garlic odor has been associated with the phenolic content and enzymatic activity of the deodorizing food. In this study, the effectiveness of both fresh and dried form of the herbs (mint, oregano, rosemary and thyme) were examined to reduce the garlic volatile content of allyl mercaptan, allyl methyl disulfide, allyl methyl sulfide and diallyl disulfide. The concentration of garlic volatiles was measured in the headspace for 30 min by Selected Ion Flow Tube Mass Spectrometry (SIFT-MS). In general, dried herbs were found to be more effective at deodorizing selected volatiles than fresh herbs. Fresh rosemary had the strongest deodorization effect among the fresh herbs, while dried mint had the strongest effect among the dried herbs. Fresh thyme had the lowest effectiveness on deodorization of garlic volatiles

Twelve volatile organic compounds (VOCs) have recently been identified as key compounds in Swiss cheese with split defects. It is important to know how these VOCs interact in binary mixtures and if their behavior changes with concentration in binary mixtures.Selected ion flow tube mass spectrometry (SIFT-MS) was used for the headspace analysis of VOCs commonly found in Swiss cheeses. Headspace (H/S) sampling and quantification checks using SIFT-MS and further linear regression analyses were carried out on twelve selected aqueous solutions of VOCs. Five binary mixtures of standard solutions of VOCs were also prepared and the H/S profile of each mixture was analyzed.A very good fit of linearity for the twelve VOCs (95% confidence level) confirms direct proportionality between the H/S and the aqueous concentration of the standard solutions. Henry's Law coefficients were calculated with a high degree of confidence. SIFT-MS analysis of five binary mixtures showed that the more polar compounds reduced the H/S concentration of the less polar compounds, while the addition of a less polar compound increased the H/S concentration of the more polar compound.In the binary experiment, it was shown that the behavior of a compound in the headspace can be significantly affected by the presence of another compound. Thus, the matrix effect plays a significant role in the behavior of molecules in a mixed solution.

Tomatoes are typically not peeled before being made into juice but the peels contain enzymes that affect the odor, flavor, and viscosity of the juice. The peels are removed in the finisher, but their presence during the break process may affect quality. Juice was processed from peeled and unpeeled tomatoes using hot or cold break. The juices were pasteurized by high temperature short time (HTST), low temperature long time (LTLT), or with a retort. The control samples were treated with 10% calcium chloride to stop enzymatic activity in the juice. Sauce was made from juice and the tomato products were analyzed for volatiles, color, viscosity, and by sensory. Cold break juice made with peel contained higher levels of some lipoxygenase-, carotenoid-, and amino acid-derived volatiles, than the juice made without peel. Because of the lack of enzyme activity, hot break juices had lower levels of these volatiles and there was no significant difference between hot break juices made with and without peel. CaCl2 -treated and HTST juice had higher levels of most of the volatiles than LTLT, including the lipoxygenase-derived volatiles. The presence of peel produced a significant decrease in the viscosity of the cold break juice and sauce. There was no significant difference in the hue angle, total soluble solids, pH, titratable acidity, and vitamin C for most of the treatments. The texture, flavor, and overall liking of cold break juice made without peel were preferred over cold break juice made with peel whereas the color was less preferred. Between the sauces no significant differences in preference were obtained.

High fructose corn syrup (HFCS) was added at 5% to 40% to Indiana wildflower honey and added at 40% to Ohio and Indiana honeys from blueberry, star thistle, clover and wildflower, and an unknown source to simulate honey adulteration. Unadulterated honeys were also stored at 37 ºC from 1 to 6 mo. The volatile composition was measured by Selected Ion Flow Tube Mass Spectrometry (SIFT-MS). Most volatiles decreased in concentration with both increasing HFCS and storage time. Furfural significantly increased in concentration in all adulterated honeys and 1,3-butanediol, acetonitrile, and heptane in some adulterated honeys. During storage, the volatiles that increased were maltol, furfural, 5-methylfurfural, and 5-hydroxymethyl furfural in all honeys and also acetic acid and 1-octen-3-ol levels in some honeys. Soft independent modeling by class analogy (SIMCA) was used to differentiate the volatile profiles of adulterated honeys from fresh and stored honeys. The volatile profiles of honeys in accelerated storage for up to 4 mo and the honeys adulterated with 40% HFCS were significantly different. Acetic acid had the most discriminating power in Ohio star thistle and blueberry honeys and unknown honey while furfural had the greatest discriminating power in Indiana blueberry, star thistle, and clover honeys. Adulteration and storage of honey both reduced the volatile levels, but since they changed the volatile composition of the fresh honey differently, SIMCA was able to differentiate adulteration from storage. Analysis of adulterated and stored honeys determined that both decrease volatile levels, and no clear indicator volatiles were found. However, SIMCA can be used to distinguish the volatile profiles of fresh or stored honeys, from adulterated honeys.