Tuberculosis (TB), a highly infectious airborne disease, remains a major global health problem. Many of the new diagnostic techniques are not suited for operation in the highly-endemic low-income countries. A sensitive, fast, easyto-operate and low-cost method is urgently needed. 1 The so-called "E-Nose" is a battery-operated device, similar to an alcohol breathalyser, which offers a rapid and accurate diagnosis. 1 A patient simply blows into the device, and sensors pick up TB biomarkers in the breath droplets. One big advantage of this hand-held, battery powered device is that testing can be done at village level so people do not have to make the trip to distant hospitals or clinics for timeconsuming testing with sputum. 2 Some of the specific volatile organic compounds (VOC) associated with Mycobacteria tuberculosis organisms are now being discovered and a paper was published in 2008, but the method of predicting the presence of TB in sputum samples using the VOC biomarkers has yet to be fully optimised. Sensitivity and specificity levels for field detection of TB have been set by WHO at a minimum level of 85% and 95% respectively, and the e nose technique is working towards these figures. In a series of experiments carried out in Mbeya, Tanzania, Africa, data from a full 5 days of sampling was combined giving a total of 248 sputum samples analyzed. From the data obtained results showed specificities and sensitivities in the 70-80% region when actually predicting the presence of TB in unknown sputum samples. 3 In another study the potential of two different electronic noses (EN; code named "Rob" and "Walter") were used to differentiate between sputum headspace samples from tuberculosis (TB) patients and non-TB patients. Only samples from Ziehl-Neelsen stain (ZN)-and Mycobacterium tuberculosis culture-positive (TBPOS) sputum samples and ZN-and culture-negative (TBNEG) samples were used for headspace analysis. With EN Rob, 284 samples from TB suspects (56 TBPOS and 228 TBNEG samples), and with EN Walter, 323 samples from TB suspects (80 TBPOS and 243 TBNEG samples) were investigated. The best results were obtained using advanced data extraction and linear discriminant function analysis, resulting in a sensitivity of 68%, a specificity of 69%, and an accuracy of 69% for EN Rob; for EN Walter, the results were 75%, 67%, and 69%, respectively. 4 In another study in Amsterdam and Zambia the headspaces of cultures, spiked sputa, and sputum samples from 330 culture proven and human immunodeficiency virus-tested TB and non-TB patients. The EN differentiated between different Mycobacterium spp. and between mycobacteria and other lung pathogens both in culture and in spiked sputum samples. The EN correctly predicted 89% of culturepositive patients; the six false negatives were the four ZNnegative and two ZN-positive patients. The specificity and sensitivity were 91% and 89%, respectively, compared to culture. At present, the reasons for the false negatives and false positives are unknown, but they could well be due to...