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Rapid Assessment of Raw Milk Microbial Quality - Ahmad, Imran
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Ahmad, Imran:
Rapid Assessment of Raw Milk Microbial Quality - Taschenbuch

ISBN: 384338424X

Gebundene Ausgabe, ID: 10022062

using light sensing probe and through routine analysis data - Buch, gebundene Ausgabe, 56 S., Beilagen: Paperback, Erschienen: 2010 LAP Lambert Acad. Publ. Simple and inexpensive techniques based on the monitoring of change in color of milk in methylene blue dye reduction test due to metabolic activity of the viable bacterial cells and routine analysis such as travel time, temperature of milk, solid-not-fat, %fat, acidity and specific gravity are presented in this book. The change in dye color was recorded as voltage signal of a specially designed light sensing probe (LSP) for about 40 min. Subsequently, the output voltage of LSP was interfaced with a PC to predict and display the SPC (cfu/ml) and MBRT (h) of raw milk along with its quality grade in real time. The predictions of raw milk quality grades based on the calibration of LSP output voltage with SPC and MBRT were in good agreement with actual grades showing considerable promise for this novel assessment technique. Also, data mining techniques can be applied to predict raw milk quality in terms of MBRT from the independent parameters of raw milk quality. Various data mining techniques used to predict microbial quality against the actual observed quality to classify milk into 4 quality grades.

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Rapid Assessment of Raw Milk Microbial Quality - Imran Ahmad
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Simple and inexpensive techniques based on the monitoring of change in color of milk in methylene blue dye reduction test due to metabolic activity of the viable bacterial cells and routine analysis such as travel time, temperature of milk, solid-not-fat, %fat, acidity and specific gravity are presented in this book. The change in dye color was recorded as voltage signal of a specially designed light sensing probe (LSP) for about 40 min. Subsequently, the output voltage of LSP was interfaced with a PC to predict and display the SPC (cfu/ml) and MBRT (h) of raw milk along with its quality grade in real time. The predictions of raw milk quality grades based on the calibration of LSP output voltage with SPC and MBRT were in good agreement with actual grades showing considerable promise for this novel assessment technique. Also, data mining techniques can be applied to predict raw milk quality in terms of MBRT from the independent parameters of raw milk quality. Various data mining techniques used to predict microbial quality against the actual observed quality to classify milk into 4 quality grades. Buch / Broschur

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Rapid Assessment of Raw Milk Microbial Quality:using light sensing probe and through routine analysis data Imran Ahmad Rapid Assessment of Raw Milk Microbial Quality:using light sensing probe and through routine analysis data Imran Ahmad Bücher > Wissenschaft > Umweltwissenschaft, LAP Lambert Acad. Publ.

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Rapid Assessment of Raw Milk Microbial Quality - Ahmad, Imran
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Ahmad, Imran:
Rapid Assessment of Raw Milk Microbial Quality - Taschenbuch

2010, ISBN: 384338424X

Gebundene Ausgabe, ID: 10022062

using light sensing probe and through routine analysis data - Buch, gebundene Ausgabe, 56 S., Beilagen: Paperback, Erschienen: 2010 LAP Lambert Acad. Publ.

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Details zum Buch
Rapid Assessment of Raw Milk Microbial Quality

Simple and inexpensive techniques based on the monitoring of change in color of milk in methylene blue dye reduction test due to metabolic activity of the viable bacterial cells and routine analysis such as travel time, temperature of milk, solid-not-fat, %fat, acidity and specific gravity are presented in this book. The change in dye color was recorded as voltage signal of a specially designed light sensing probe (LSP) for about 40 min. Subsequently, the output voltage of LSP was interfaced with a PC to predict and display the SPC (cfu/ml) and MBRT (h) of raw milk along with its quality grade in real time. The predictions of raw milk quality grades based on the calibration of LSP output voltage with SPC and MBRT were in good agreement with actual grades showing considerable promise for this novel assessment technique. Also, data mining techniques can be applied to predict raw milk quality in terms of MBRT from the independent parameters of raw milk quality. Various data mining techniques used to predict microbial quality against the actual observed quality to classify milk into 4 quality grades.

Detailangaben zum Buch - Rapid Assessment of Raw Milk Microbial Quality


EAN (ISBN-13): 9783843384247
ISBN (ISBN-10): 384338424X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: LAP Lambert Acad. Publ.

Buch in der Datenbank seit 10.08.2009 01:20:25
Buch zuletzt gefunden am 15.11.2017 11:55:07
ISBN/EAN: 384338424X

ISBN - alternative Schreibweisen:
3-8433-8424-X, 978-3-8433-8424-7


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