บทคัดย่องานวิจัย

หมวดหมู่ : ฐานข้อมูลงานวิจัย

A statistical approach for the analysis of Proton Transfer Reaction Mass Spectrometry (PTR-MS) data aimed at a qualification of fruits based on VOC emissions

Barbon D.; Weber A.; Boschetti A.; Fadanelli L.; Vescovi M.; Tonini A.; Lannotta S. and Stoppa G.

5th International Postharvest Symposium . Volume of Abstract . Verona, Italy 6-11 June 2004, p.121

2004

บทคัดย่อ

A statistical approach for the analysis of Proton Transfer Reaction Mass Spectrometry (PTR-MS) data aimed at a qualification of fruits based on VOC emissions   The high degree of sensitivity and the large amounts of data typical of Proton Transfer Reaction Mass Spectrometry strongly requires an appropriate method of data handling, analysis and interpretation to optimize the amount of information that such data could give. The experiments that we have carried out and the available data from literature clearly show a quite strong dependence of the VOC emissions from a large number of parameters that characterize a fruit. Weight, degree of ripening, skin properties (such as colour, croma and brightness) as well as post-harvest treatments and preservation, all of them affect quite significantly the pattern of emitted VOC. A correct statistical approach should then take into account several (possibly all) the relevant variables that contribute to the modifications in VOC emissions so that no information is lost.

We have developed an approach based o­n a model of the type causal network with respect to sets of parameters prior, intervening and consequent respectively. As a test case we have studied the preservation of Red Delicious under ILOS treatment and we have considered as co-variant parameters the weight, skin attributes such as dye, croma and brightness. Through the statistical analysis of the VOCs emission measured by PTR-MS we have identified the masses of the VOC that best correlate to the different properties of the apples over the whole period of storage and for shelf life of about two weeks. It is very interesting to notice that such an analysis followed by a relative principal component treatment (RPCA) allows a very nice discrimination of the apples and of the effects of the treatments o­n preservation and shelf life. This communication discuss the great potential of this method to identify specific VOC sets that could be used as true markers for different apples attributes and treatments.