Development of electrochemical method to detect bacterial count, Listeria monocytogenes, and somatic cell count in raw milk
| Autor: | Hung-Yu Hsu, Chuan-Liang Hsu, Yi-Ming Huang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
040301 veterinary sciences General Chemical Engineering 04 agricultural and veterinary sciences General Chemistry Electrochemical detection Raw milk Biology medicine.disease medicine.disease_cause Microbiology Mastitis Electrochemical gas sensor 0403 veterinary science 03 medical and health sciences chemistry.chemical_compound 030104 developmental biology chemistry Listeria monocytogenes Lactate dehydrogenase medicine Food science Somatic cell count |
| Zdroj: | Journal of the Taiwan Institute of Chemical Engineers. 62:39-44 |
| ISSN: | 1876-1070 |
| DOI: | 10.1016/j.jtice.2016.01.030 |
| Popis: | Bacterial count, Listeria monocytogenes detection and somatic cell count (SCC) are generally recognized as indexes of raw milk quality which could affect the price and the shelf-life of dairy products. This research was aimed at developing an easy, low-cost and rapid quantitative electrochemical detection method for measuring the three indexes simultaneously. Through the electrochemical sensor, bacterial count or L. monocytogenes detection was determined by evaluating the electric-current originated from microbial activity. SCC was determined by measuring current signal produced by the expression of lactate dehydrogenase (LDH) activity, a biomarker also for diagnosing mastitis. The research indicated that the appropriate conditions for applying the biosensor to bacterial count detection ranging from 102 to 108 CFU/ml within detection time (DT) of 1–10 h are 35 °C at 1 V and that the optimal conditions for L. monocytogenes detection are 37 °C at 1 V, under pH 9.4, associated with a Fraser selective broth. The optimal conditions for SCC detection ranging from 350 to 780 thousand SCC/ml (R2 = 0.907) within 60 s (DT) are 42 °C at 0.5 V, under pH 9.0. The biosensor is shown to be a promising approach for the detections in raw milk. |
| Databáze: | OpenAIRE |
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