Statisticalanalysishasbeenusedforth

Statisticalanalysishasbeenusedforthe first timetoevaluatethedispersionofquantitativedatainthe
solid-phase microextraction(SPME)followedbygaschromatography–mass spectrometry(GC–MS)
analysisofblackberry(Rubus ulmifolius Schott) volatileswiththeaimofimprovingtheirprecision.
Experimental andrandomlysimulateddatawerecomparedusingdifferentstatisticalparameters
(correlation coefficients, PrincipalComponentAnalysisloadingsandeigenvalues).Non-randomfactors
wereshowntosignificantly contributetototaldispersion;groupsofvolatilecompoundscouldbe
associated withthesefactors.Asignificant improvementofprecisionwasachievedwhenconsidering
percent concentrationratios,ratherthanpercentvalues,amongthoseblackberryvolatileswithasimilar
dispersion behavior.
As noveltyoverpreviousreferences,andtocomplementthismainobjective,thepresenceofnon-
random dispersiontrendsindatafromsimpleblackberrymodelsystemswasevidenced.Althoughthe
influence ofthetypeofmatrixondataprecisionwasproved,thepossibilityofabetterunderstandingof
the dispersionpatternsinrealsampleswasnotpossiblefrommodelsystems.
The approachhereusedwasvalidatedforthe first timethroughthemulticomponentcharacterization
of Italianblackberriesfromdifferentharvestyears.

ผลลัพธ์ (ไทย) 1:

Statisticalanalysishasbeenusedforthe timetoevaluatethedispersionofquantitativedatainthe แรกspectrometry(GC–MS) followedbygaschromatography – มวล microextraction เฟสของแข็ง (SPME)analysisofblackberry (Rubus ulmifolius Schott) volatileswiththeaimofimprovingtheirprecisionAndrandomlysimulateddatawerecomparedusingdifferentstatisticalparameters ทดลอง(ความสัมพันธ์สัมประสิทธิ์ PrincipalComponentAnalysisloadingsandeigenvalues)ไม่ randomfactorswereshowntosignificantly contributetototaldispersion; groupsofvolatilecompoundscouldbewiththesefactors เกี่ยวข้องAsignificant improvementofprecisionwasachievedwhenconsideringร้อยละ concentrationratios, ratherthanpercentvalues, amongthoseblackberryvolatileswithasimilarลักษณะการทำงานเธนเป็น noveltyoverpreviousreferences, andtocomplementthismainobjective, thepresenceofnon-dispersiontrendsindatafromsimpleblackberrymodelsystemswasevidenced สุ่มAlthoughtheอิทธิพล ofthetypeofmatrixondataprecisionwasproved, thepossibilityofabetterunderstandingofdispersionpatternsinrealsampleswasnotpossiblefrommodelsystemsTimethroughthemulticomponentcharacterization แรก approachhereusedwasvalidatedfortheของ Italianblackberriesfromdifferentharvestyears

ผลลัพธ์ (ไทย) 3:

Statisticalanalysishasbeenusedforthe first timetoevaluatethedispersionofquantitativedatainthe
solid-phase microextraction(SPME)followedbygaschromatography–mass spectrometry(GC–MS)
analysisofblackberry(Rubus ulmifolius Schott) volatileswiththeaimofimprovingtheirprecision.
Experimental andrandomlysimulateddatawerecomparedusingdifferentstatisticalparameters
(correlation coefficients, PrincipalComponentAnalysisloadingsandeigenvalues).Non-randomfactors
wereshowntosignificantly contributetototaldispersion;groupsofvolatilecompoundscouldbe
associated withthesefactors.Asignificant improvementofprecisionwasachievedwhenconsidering
percent concentrationratios,ratherthanpercentvalues,amongthoseblackberryvolatileswithasimilar
dispersion behavior.
As noveltyoverpreviousreferences,andtocomplementthismainobjective thepresenceofnon , -
สุ่ม dispersiontrendsindatafromsimpleblackberrymodelsystemswasevidenced . althoughthe
อิทธิพล ofthetypeofmatrixondataprecisionwasproved thepossibilityofabetterunderstandingof dispersionpatternsinrealsampleswasnotpossiblefrommodelsystems ,
.

timethroughthemulticomponentcharacterization approachhereusedwasvalidatedforthe ครั้งแรกของ italianblackberriesfromdifferentharvestyears .