Electronic nose

In all industries, odor assessment is usually performed by human sensory analysis, by chemosensors, or by gas chromatography. The latter technique gives information about volatile organic compounds but the correlation between analytical results and mean odor perception is not direct due to potential interactions between several odorous components. In the Wasp Hound odor detector, the mechanical element is a video camera and the biological element is five parasitic wasps who have been conditioned to swarm in response to the presence of a specific chemical. ==History==

Scientist Alexander Graham Bell popularized the notion that it was difficult to measure a smell, and in 1914 said the following: In the decades since Bell made this observation, no such science of odor materialised, and it was not until the 1950s and beyond that any real progress was made. ==Working principle==

The electronic nose was developed in order to mimic human olfaction that functions as a non-separative mechanism: i.e. an odor / flavor is perceived as a global fingerprint. Essentially the instrument consists of head space sampling, a chemical sensor array, and pattern recognition modules, to generate signal patterns that are used for characterizing odors. Electronic noses include three major parts: a sample delivery system, a detection system, a computing system. The sample delivery system enables the generation of the headspace (volatile compounds) of a sample, which is the fraction analyzed. The system then injects this headspace into the detection system of the electronic nose. The sample delivery system is essential to guarantee constant operating conditions. Bio-electronic noses use olfactory receptors – proteins cloned from biological organisms, e.g. humans, that bind to specific odor molecules. One group has developed a bio-electronic nose that mimics the signaling systems used by the human nose to perceive odors at a very high sensitivity: femtomolar concentrations. The more commonly used sensors for electronic noses include • metal–oxide–semiconductor (MOS) devices – metal–oxide–semiconductor sensors contain a metal oxide coating with an electrical resistance that changes in the presence of a target gas. The presence of the target gas can be inferred by measuring the change in the resistance of the metal oxide layer over time. • conducting polymers – organic polymers that conduct electricity. • polymer composites – similar in use to conducting polymers but formulated of non-conducting polymers with the addition of conducting material such as carbon black. • quartz crystal microbalance (QCM) – a way of measuring mass per unit area by measuring the change in frequency of a quartz crystal resonator. This can be stored in a database and used for future reference. • surface acoustic wave (SAW) – a class of microelectromechanical systems (MEMS) which rely on the modulation of surface acoustic waves to sense a physical phenomenon. • Mass spectrometers can be miniaturised to form general purpose gas analysis devices. Some devices combine multiple sensor types in a single device, for example polymer coated QCMs. The independent information leads to vastly more sensitive and efficient devices. Studies of airflow around canine noses, and tests on lifesize models have indicated that a cyclic 'sniffing action' similar to that of a real dog is beneficial in terms of improved range and speed of response. In recent years, other types of electronic noses have been developed that utilize mass spectrometry or ultra-fast gas chromatography as a detection system. fuzzy logic, chemometrics methods, pattern recognition modules, etc. Artificial intelligence, including artificial neural networks, is a key technique for the environmental odour management. ==Performing an analysis==

As a first step, an electronic nose needs to be trained with qualified samples so as to build a database of reference. Then the instrument can recognize new samples by comparing a volatile compound's fingerprint to those contained in its database. Thus they can perform qualitative or quantitative analysis. This however may also cause a problem as many odors are made up of multiple different molecules, which may be wrongly interpreted by the device as it will register them as different compounds, resulting in incorrect or inaccurate results depending on the primary function of a nose. The example of e-nose dataset is also available. This dataset can be used as a reference for e-nose signal processing, notably for meat quality studies. The two main objectives of this dataset are multiclass beef classification and microbial population prediction by regression. For diseases such as lung cancer multiple types of analysis have been used. ==Applications==

) allows for rapid classification of food or environmental samples Electronic nose instruments are used by research and development laboratories, quality control laboratories and process & production departments for various purposes: In quality control laboratories • Conformity of raw materials, intermediate and final products • Batch to batch consistency • Detection of contamination, spoilage, adulteration • Origin or vendor selection • Monitoring of storage conditions • Meat quality monitoring. In process and production departments • Managing raw material variability • Comparison with a reference product • Measurement and comparison of the effects of manufacturing process on products • Following-up cleaning in place process efficiency • Scale-up monitoring • Cleaning in place monitoring. In product development phases • Sensory profiling and comparison of various formulations or recipes • Benchmarking of competitive products • Evaluation of the impact of a change of process or ingredient on sensory features. Possible and future applications in the fields of health and security • The detection of dangerous and harmful bacteria, such as software that has been specifically developed to recognise the smell of the MRSA (Methicillin-resistant Staphylococcus aureus). It is also able to recognise methicillinsusceptible S. aureus (MSSA) among many other substances. It has been theorised that if carefully placed in hospital ventilation systems, it could detect and therefore prevent contamination of other patients or equipment by many highly contagious pathogens. • The detection of lung cancer or other medical conditions by detecting the VOC's (volatile organic compounds) that indicate the medical condition. • The detection of viral and bacterial infections in COPD exacerbations. • The quality control of food products as it could be conveniently placed in food packaging to clearly indicate when food has started to rot or used in the field to detect bacterial or insect contamination. • Nasal implants could warn of the presence of natural gas, for those who had anosmia or a weak sense of smell. • The Brain Mapping Foundation used the electronic nose to detect brain cancer cells. Possible and future applications in the field of crime prevention and security • The ability of the electronic nose to detect odorless smells makes it ideal for use in the police force, such as the ability to detect bomb odors despite other airborne odors capable of confusing police dogs. • It may also be used as a drug detection method in airports. Through careful placement of several or more electronic noses and effective computer systems, one could triangulate the location of drugs to within a few metres of their location in less than a few seconds. • Demonstration systems that detect the vapours given off by explosives exist, but are currently some way behind a well trained sniffer dog. In environmental monitoring • For identification of volatile organic compounds in air, water and soil samples. • For environmental protection. Various application notes describe analysis in areas such as flavor and fragrance, food and beverage, packaging, pharmaceutical, cosmetic and perfumes, and chemical companies. More recently they can also address public concerns in terms of olfactive nuisance monitoring with networks of on-field devices. Since emission rates on a site can be extremely variable for some sources, the electronic nose can provide a tool to track fluctuations and trends and assess the situation in real time. It improves understanding of critical sources, leading to pro-active odor management. Real time modeling will present the current situation, allowing the operator to understand which periods and conditions are putting the facility at risk. Also, existing commercial systems can be programmed to have active alerts based on set points (odor concentration modeled at receptors/alert points or odor concentration at a nose/source) to initiate appropriate actions. == See also ==