Table 6.
Biomedical applications developed using commercial and experimental electronic noses.
| E-nose model | Manufacturer | Sensors† | Biomedical application | References |
|---|---|---|---|---|
| Bloodhound BH-114 | Sensors Ltd. | 14 CP | Detect bacteria and heavy metals in potable water | [172,418] |
| Early detection of TB | [321,196] | |||
| Detect spoilage bacteria and fungi in food | [419–422] | |||
| Anaerobic bacteria | [296] | |||
| Helicobacter pylori, gastroesophageal bacteria | [244] | |||
| Urinary tract infections | [245] | |||
| Early disease diagnosis, distinguish dermatophytes | [423] | |||
| Cyranose C320 | Cyrano Sciences | 32 CP | Bacterial & SA infections | [123,176] |
| Pneumonia score prediction | [231] | |||
| Upper respiratory tract infections | [232] | |||
| Lung cancer detection | [234] | |||
| Ear, nose, throat infections | [233] | |||
| Bacteria identifications in blood and urine samples | [424] | |||
| DE 101 | Experimental model | 3 MOS | Detect renal dysfunction | [191] |
| EOS 835 | Sacmi Imola | 6 MOS | Toxigenic Fusarium in corn | [160] |
| FF-1 | Experimental model | 6 MOS | Oral malodor assessment | [425] |
| Fox 2000 | Alpha MOS | 6 MOS | Culture growth phases | [124] |
| Diagnose diseases | [103] | |||
| Fox 4000 | Alpha MOS | 18 MOS | Flavor analysis to develop new drug formulations | [136] |
| JPL ENose | NASA | 16 CP | Brain cancer detection | [193] |
| KAMINA | Karlsruhe Res. Cntr. | 38 MOS | Ammonia and chloroform hazard-detection | [426] |
| MonoNoses | C-it | 1 MOS | Identify bacterial pathogens | [177] |
| Moses II | Lenmartz Electronics | 8 MOS, 8 QMB, 4 AGS | Discriminate coliform bacteria | [218] |
| PEN 2 | Airsense Analytical | 10 MOS | Clinical diagnoses, Identify bacteria | [427] |
| Aflatoxin detection in corn | [162,216] | |||
| ZNose | Electronic Sensor Technology | 1 SAW | Identify bacteria & yeasts | [428] |
Sensor type abbreviations: Amperometric Gas Sensors (AGS); Conducting Polymers (CP); Metal-Oxide Semiconductors (MOS); Quartz Microbalance (QMB); Surface Acoustic Wave (SAW). The numerical values before each sensor type indicate the number of each sensor type present within the instrument sensor array.