کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8893009 | 1628767 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Non-destructive prediction of 'Marsh' grapefruit susceptibility to postharvest rind pitting disorder using reflectance Vis/NIR spectroscopy
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کلمات کلیدی
R2CRMSECPLSVis/NIRNIRCx+cRMSECVRMSEPRPDChilling injury - آسیب سرماUltraviolet - اشعه فرابنفشNear infrared radiation - اشعه مادون قرمز نزدیکیanalysis of variance - تحلیل واریانسANOVA - تحلیل واریانس Analysis of varianceNumber of samples - تعداد نمونه هاAbsorbance - جذبpartial least square - حداقل مربعات جزئیroot mean square error of prediction - خطای متوسط مربع خطای پیش بینیRoot Mean Square Error of Calibration - خطای میدان ریشه متوسط کالیبراسیونRelative humidity - رطوبت نسبیRoot mean square error of cross validation - ریشه میانگین خطای مربع اعتبارسنج متقابل استCoefficient of Variation - ضریب تغییرdry matter - ماده خشکCitrus - مرکباتEquation - معادلهEq. - معادلهChla - چلاChlb - چلبیhigh performance liquid chromatography - کروماتوگرافی مایع با کارایی بالاHPLC - کروماتوگرافی مایعی کاراTotal carotenoids - کل کاروتنوئیدهاChlorophyll a - کلروفیل achlorophyll b - کلروفیل بChemometrics - کمومتریکسFruit quality - کیفیت میوه
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
دانش باغداری
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Postharvest RP is a progressive rind physiological disorder affecting citrus fruit during postharvest storage, reducing external quality of the fruit. The disorder develops 3-5 weeks after harvest, making it difficult to detect during grading and sorting in commercial packing lines. The Vis/NIR spectroscopy and associated chemometric analytical methods were explored for non-destructive prediction of 'Marsh' grapefruit (Citrus x paradisi MacFad) susceptibility to rind pitting. Reflectance Vis/NIR spectral data was acquired from fruit, just after harvest, using a laboratory bench-top monochromator NIR System equipped with a quartz halogen lamp and lead sulfide detector. Reference measurements for calibrating and validating PLS models included visual scores of RP and rind physico-chemical variables related to the disorder. The spectral data was correlated to RP scores and rind physico-chemical properties after eight weeks in cold storage and a week in shelf life. Good prediction of RP was obtained (R2pâ¯=â¯0.78; RPDâ¯=â¯2.03; RMSEPâ¯=â¯1.41). Prediction models for rind physicochemical properties successfully developed and validated included rind total antioxidant capacity (R2pâ¯=â¯0.95), β carotene (R2pâ¯=â¯0.99), total carotenoids (R2pâ¯=â¯0.92), chlorophyll a (R2pâ¯=â¯0.89), chlorophyll b (R2pâ¯=â¯0.93), dry matter (R2pâ¯=â¯0.88), sucrose (R2pâ¯=â¯0.91), glucose (R2pâ¯=â¯0.93) and fructose (R2pâ¯=â¯0.94). Principal component analysis successfully segregated fruit based on canopy position and susceptibility to rind pitting disorder. The ability of Vis/NIR spectroscopy coupled with chemometric analysis to cluster fruit based on canopy position is recommended as a secondary approach to discriminate fruit with high susceptibility to RP since RP occurrence was high on fruit from outside canopy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Scientia Horticulturae - Volume 231, 27 January 2018, Pages 265-271
Journal: Scientia Horticulturae - Volume 231, 27 January 2018, Pages 265-271
نویسندگان
Khayelihle Ncama, Samson Zeray Tesfay, Olaniyi Amos Fawole, Umezuruike Linus Opara, Lembe Samukelo Magwaza,