Literature DB >> 16107392

Shelf life of Crescenza cheese as measured by electronic nose.

S Benedetti1, N Sinelli, S Buratti, M Riva.   

Abstract

The shelf life of Crescenza, a traditional Italian soft cheese, was measured using classical analysis and a commercial electronic nose. Two lots of samples directly supplied by a manufacturer at the beginning of their commercial life were stored at 2 constant temperatures (8 and 15 degrees C) and analyzed until their respective expiration dates. Among the physicochemical parameters, pH, acidity, hue, and apparent yield rheological index appeared to be the best predictors of the quality decay. Changes in these indices were described with a sigmoidal transition function allowing definition of a loose and a severe shelf-life protocol, based on the trend of first and second time derivatives. A time range of 1 to 3 d at 15 degrees C and 4 to 8 d at 8 degrees C was accordingly assessed to maintain the freshness of Crescenza cheese. The quality decay of cheese aroma was evaluated by inspecting the headspace fingerprint of the same set of samples using the electronic nose. Sample classification through the aroma fingerprint confirmed the predicted shelf-life time ranges. A clear discrimination between "fresh," "aged," and "very aged" samples was obtained using principal components analysis, cluster analysis, and linear discriminant analysis statistical techniques. The predictive ability of the linear discriminant analysis classification model was confirmed by considering a new set of cheese samples purchased at the beginning of their commercial life from a local market and analyzed until their expiration date.

Mesh:

Year:  2005        PMID: 16107392     DOI: 10.3168/jds.S0022-0302(05)72985-4

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  4 in total

1.  Comparison of Cheese Aroma Intensity Measured Using an Electronic Nose (E-Nose) Non-Destructively with the Aroma Intensity Scores of a Sensory Evaluation: A Pilot Study.

Authors:  Kouki Fujioka
Journal:  Sensors (Basel)       Date:  2021-12-15       Impact factor: 3.576

2.  Application of an Electronic Nose and HS-SPME/GC-MS to Determine Volatile Organic Compounds in Fresh Mexican Cheese.

Authors:  Héctor Aarón Lee-Rangel; German David Mendoza-Martinez; Lorena Diaz de León-Martínez; Alejandro Enrique Relling; Anayeli Vazquez-Valladolid; Monika Palacios-Martínez; Pedro Abel Hernández-García; Alfonso Juventino Chay-Canul; Rogelio Flores-Ramirez; José Alejandro Roque-Jiménez
Journal:  Foods       Date:  2022-06-25

3.  Application of an electronic nose instrument to fast classification of Polish honey types.

Authors:  Tomasz Dymerski; Jacek Gębicki; Waldemar Wardencki; Jacek Namieśnik
Journal:  Sensors (Basel)       Date:  2014-06-18       Impact factor: 3.576

Review 4.  Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue-Critical Overview.

Authors:  Balkis Aouadi; John-Lewis Zinia Zaukuu; Flora Vitális; Zsanett Bodor; Orsolya Fehér; Zoltan Gillay; George Bazar; Zoltan Kovacs
Journal:  Sensors (Basel)       Date:  2020-09-24       Impact factor: 3.576

  4 in total

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