Standardization and near infrared reflectance spectroscopy based quality evaluation of thermally processed tender jackfruit (Artrocarpus heteophyllus L.) (Record no. 195601)

000 -LEADER
fixed length control field 02762nam a22001697a 4500
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 631.56
Item number PRI/ST PhD
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pritty S Babu
245 ## - TITLE STATEMENT
Title Standardization and near infrared reflectance spectroscopy based quality evaluation of thermally processed tender jackfruit (Artrocarpus heteophyllus L.)
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Tavanur
Name of publisher, distributor, etc Department of Processing and Food Engineering, Kelappaji College of Agricultural Engineering and Technology
Date of publication, distribution, etc 2020
300 ## - PHYSICAL DESCRIPTION
Extent 179p.
502 ## - DISSERTATION NOTE
Dissertation note PhD
520 3# - SUMMARY, ETC.
Abstract The present study examined thermal processing in tin free steel cans (TFS) and near
infrared reflectance spectroscopy (NIRS) techniques for preservation and rapid
characterization of tender jackfruit, respectively. In the thermal processing study, the
effect of 16 treatments with different time-temperature combinations on
physicochemical and microbiological attributes of canned tender jackfruit were
examined. Accordingly, pasteurization at 90oC for 19 min (F = 60 min) and sterilization
at 121oC for 8 min (F0 = 3 min) were identified as the best treatments. During 7 months
of storage, these treatments yielded microbiologically safe tender jackfruit with no
significant (p < 0.05) change in titrable acidity, total soluble solids, carbohydrate and
crude fibre contents. In both pasteurization and sterilization treatments with/without
preservatives, quality and sensory attributes of canned tender jackfruit were
comparable. Hence, the study endorse the use of any of the standardized thermal
processing treatments even without preservatives for safe storage of tender jackfruit.
The NIRS study was the primary attempt to characterize tender jackfruit (fresh and
thermal processed) using its spectral reflectance (R*) within 400-2500 nm wavelength
range by means of partial least square regression (PLSR) algorithm. Based on crossvalidation
of PLSR models, the study have identified a) second derivative of R* in
7012450 nm as the best pre-processing and wavelength combination for the estimation
of quality attributes of fresh tender jackfruit, b) spectral measurement of intact tender
jackfruit samples outperform grated counterparts, c) dry spectra of thermal processed
tender jackfruit yield superior results than wet spectra, d) DLP NIRscan Nano for cost
effective characterization of inter component (skin, tendril and core) variability of fresh
tender jackfruit with regard to total flavonoid and phenol contents. The overall results
of the analyses advocates the use of NIRS for a rapid, reliable, non-destructive and noninvasive
quality assessment of tender jackfruit.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Food engineering
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Sudheer K P (Guide)
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://krishikosh.egranth.ac.in/handle/1/5810174417
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Theses
Holdings
Not for loan Collection code Permanent location Current location Shelving location Date acquired Full call number Barcode Date last seen Koha item type
  Reference Book KAU Central Library, Thrissur KAU Central Library, Thrissur Theses 2021-02-10 631.56 PRI/ST PhD 175038 2021-02-10 Theses
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