- freely available
Sensors 2014, 14(4), 6567-6570; doi:10.3390/s140406567
People encounter enormous numbers of chemicals present in the outdoor atmosphere and/or in the various facilities they use daily. Despite such diversity, not many of them have necessarily the potential to draw human's nasal attraction if their perception thresholds are in general not sufficiently low enough, regardless of abundance. In this sense, many types of scents, musks, fragrances, smells, odors, and pheromones are unique enough to draw a great deal of attention mainly by their presence at or near threshold levels which are far lower than those of common chemicals with poor odorant characteristics. It is known that most of the diverse characters of odor-related ingredients or expressions are commonly produced from various biota sources present in the biosphere, e.g., fauna, flora, bacteria, fruits, flowers, trees, meats, fresh/decaying foods, etc.
In light of the environmental significance of the various odor types characterizing certain odorous events, it is crucially important to be able to describe, both qualitatively and quantitatively, the concentration levels and/or relative composition of both major and minor components giving rise to such odorous conditions. Despite many advances achieved over the past decades in the sensing and instrumental techniques for odor quantitation, it still remains of utmost importance to expand our knowledge on the exact nature of various odor types and improve our odor detection abilities.
The works described in this Special Issue (SI) are thus aimed at covering the topic of collaborative subjects on the application of detection techniques for various odor-related targets which we typically encounter in our everyday livelihood by mainly focusing on the following subjects: (1) sampling techniques for odor, fragrance, and related components; (2) olfactometry; (3) electronic noses; (4) advanced instrumentation (e.g., combination of thermal desorption with GC-MS or MS-MS, GC-GC, etc.); and (5) all other available or emerging tools for odor sensing.
A total of 15 articles were finally published in this special issue to cover the topic of sensing of various odorants and odor-related phenomena with the aid of diverse instrumental configurations. The results of this SI can now be classified into several subcategories mainly based on the specific approaches employed by each team of authors. Thus, each of the 15 papers can be classified into one or more specific categories and listed in the appropriate references section. As this SI pursues the introduction of a whole variety of odor detection techniques, it thus offers a nice chance to connect bridges to the world of diverse odor phenomena that exert impacts on our cognition and emotion.
2.1. Sampling Techniques
Two papers from our SI deal with issues covering advances in sampling techniques. Pravin et al.  described how the simultaneous sampling of flow and odorants by crustaceans can aid searches within a turbulent plume. In addition, Young et al.  introduced the application of receiver operating characteristic (ROC) curves based on different sampling and detection approaches.
Three of our SI articles cover studies on olfactometry issues of odorants using PTR MS (Hansen et al. ), analysis of feedstuffs and animal nutrition (Campagnoli et al. ), and GC-based chemical characterization (Brattoli et al. ).
2.3. Electronic Noses
We received the highest number of papers (four) in this section. Chiu and Tang  reviewed a chemiresistive sensor-integrated electronic nose. Fujioka et al.  introduced an E-nose to discriminate the volatiles from fresh mushrooms. Moreover, Dymerski et al.  focused on quality evaluation of agricultural distillates. Finally, Wilson et al.  summarized detection methods for off-flavor in catfish.
2.4. Advanced Instrumentation
In this section, we focused on the combination of thermal desorption and GC-MS method for detecting volatiles and odorants. Kim et al.  provided the method to carry out a quantitative analysis of fragrance and odorants from strawberries. Pandey et al.  introduced methods to measure major odorants released as urinary volatiles. Covington et al.  introduced a novel tool for diagnosing bile acid diarrhoea. Paul and Park  identified volatiles produced by Cladosporium cladosporioides CL-1, a fungal biocontrol agent.
2.5. Emerging Techniques
Zarzo  dealt with a fresh scent in perfumery to find correlations between perceptual freshness and substantivity. Finally, Soso et al.  presented a unique review on the chemical and sensory characterization of scent-markings in large wild mammals.
This work was supported by a grant from the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (MEST) (No. 2009-0093848).
- Pravin, S.; Reidenbach, M.A. Simultaneous Sampling of Flow and Odorants by Crustaceans can Aid Searches within a Turbulent Plume. Sensors 2013, 13, 16591–16610, doi:10.3390/s131216591. 24300599
- Young, M.; Fan, W.; Raeva, A.; Almirall, J. Application of Receiver Operating Characteristic (ROC) Curves for Explosives Detection Using Different Sampling and Detection Techniques. Sensors 2013, 13, 16867–16881, doi:10.3390/s131216867.
- Hansen, M.J.; Adamsen, A.P.S.; Feilberg, A. Recovery of Odorants from an Olfactometer Measured by Proton-Transfer-Reaction Mass Spectrometry. Sensors 2013, 13, 7860–7871, doi:10.3390/s130607860. 23783737
- Campagnoli, A.; Dell'Orto, B. Potential Application of Electronic Olfaction Systems in Feedstuffs Analysis and Animal Nutrition. Sensors 2013, 13, 14611–14632, doi:10.3390/s131114611. 24172280
- Brattoli, M.; Cisternino, E.; Dambruoso, P.R.; de Gennaro, G.; Giungato, P.; Mazzone, A.; Palmisani, J.; Tutino, M. Gas Chromatography Analysis with Olfactometric Detection (GC–O) as a Useful Methodology for Chemical Characterization of Odorous Compounds. Sensors 2013, 13, 16759–16800, doi:10.3390/s131216759. 24316571
- Chiu, S.-W.; Tang, K.-T. Towards a Chemiresistive Sensor-Integrated Electronic Nose: A Review. Sensors 2013, 13, 14214–14247, doi:10.3390/s131014214. 24152879
- Fujioka, K.; Shimizu, N.; Manome, Y.; Ikeda, K.; Yamamoto, K.; Tomizawa, Y. Discrimination Method of the Volatiles from Fresh Mushrooms by an Electronic Nose Using a Trapping System and Statistical Standardization to Reduce Sensor Value Variation. Sensors 2013, 13, 15532–15548, doi:10.3390/s131115532. 24233028
- Dymerski, T.; Gębicki, J.; Wardencki, W.; Namiesnik, J. Quality Evaluation of Agricultural Distillates Using an Electronic Nose. Sensors 2013, 13, 15954–15967, doi:10.3390/s131215954. 24287525
- Wilson, A.D.; Oberle, C.S.; Oberle, D.F. Detection of Off-Flavor in Catfish Using a Conducting Polymer Electronic-Nose Technology. Sensors 2013, 13, 15968–15984, doi:10.3390/s131215968. 24287526
- Kim, Y.-H.; Kim, K.-H.; Szulejko, J.E.; Parker, D. Quantitative Analysis of Fragrance and Odorants Released from Fresh and Decaying Strawberries. Sensors 2013, 13, 7939–7978, doi:10.3390/s130607939. 23787728
- Pandey, S.K.; Kim, K.-H.; Choi, S.-O.; Sa, I.-Y.; Oh, S.Y. Major Odorants Released as Urinary Volatiles by Urinary Incontinent Patients. Sensors 2013, 13, 8523–8533, doi:10.3390/s130708523. 23823973
- Covington, J.A.; Westenbrink, E.W.; Ouaret, N.; Harbord, R.; Bailey, C.; O'Connell, N.; Cullis, J.; Williams, N.; Nwokolo, C.U.; Bardhan, K.D.; Arasaradnam, R.P. Application of a Novel Tool for Diagnosing Bile Acid Diarrhoea. Sensors 2013, 13, 11899–11912, doi:10.3390/s130911899. 24018955
- Paul, D.; Park, K.-S. Identification of Volatiles Produced by Cladosporium cladosporioides CL-1, a Fungal Biocontrol Agent That Promotes Plant Growth. Sensors 2013, 13, 13969–13977, doi:10.3390/s131013969. 24135990
- Zarzo, M. What is a Fresh Scent in Perfumery? Perceptual Freshness is Correlated with Substantivity. Sensors 2013, 13, 463–483.
- Soso, S.B.; Koziel, J.A.; Johnson, A.; Lee, Y.J.; Fairbanks, W.S. Analytical Methods for Chemical and Sensory Characterization of Scent-Markings in Large Wild Mammals: A Review. Sensors 2014, 14, 4428–4465, doi:10.3390/s140304428. 24603639
© 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).