New developments in rapid microbiology using immunoassays

Beurden, R. Van; Mackintosh, Renald

doi:10.1080/09540109409354831

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…However, their disadvantages lie in the cost of equipment, which are very expensive and require a high level of maintenance, and the tests are timeconsuming and do not allow online application. On the other hand, biological methods, which exploit the genetic, immunological, and morphological characteristics of microorganisms [5][6][7], afford high accuracy, but the requirement of operator expertise and time-consuming procedures for prediction present significant drawbacks. In contrast, the soft-sensor prediction method that works on the principle of cause and effect reveals the intrinsic biological relation between measured and unmeasured states, and has been employed by several investigators [8,9].…”

Section: Introductionmentioning

confidence: 99%

Online prediction for contamination of chlortetracycline fermentation based on Dezert–Smarandache theory

Yang

Chen

Jin

2015

Chinese Journal of Chemical Engineering

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Self-recursive wavelet neural network Unscented kalman filter Fermentative production of chlortetracycline is a complex fed-batch bioprocess. It generally takes over 90 h for cultivation and is often contaminated by undesired microorganisms. Once the fermentation system is contaminated to certain extent, the product quality and yield will be seriously affected, leading to a substantial economic loss. Using information fusion based on the Dezer-Smarandache theory, self-recursive wavelet neural network and unscented kalman filter, a novel method for online prediction of contamination is developed. All state variables of culture process involving easy-to-measure and difficult-to-measure variables commonly obtained with soft-sensors present their contamination symptoms. By extracting and fusing latent information from the changing trend of each variable, integral and accurate prediction results for contamination can be achieved. This makes preventive and corrective measures be taken promptly. The field experimental results show that the method can be used to detect the contamination in time, reducing production loss and enhancing economic efficiency.

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