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http://krishi.icar.gov.in/jspui/handle/123456789/74447
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Pritty Sushama Babu | en_US |
dc.contributor.author | Sudheer Kundukulangara Pulissery | en_US |
dc.contributor.author | Sarathjith Madathiparambil Chandran | en_US |
dc.contributor.author | Naveen Kumar Mahanti | en_US |
dc.contributor.author | Ravi Pandiselvam | en_US |
dc.contributor.author | Bindu J. | en_US |
dc.contributor.author | Anjineyulu Kothakota | en_US |
dc.date.accessioned | 2022-09-23T09:47:28Z | - |
dc.date.available | 2022-09-23T09:47:28Z | - |
dc.date.issued | 2022-09 | - |
dc.identifier.citation | Pritty Sushama Babu, Sudheer Kundukulangara Pulissery,Sarathjith Madathiparambil Chandran, Naveen Kumar Mahanti, Ravi Pandiselvam, Bindu J. and Anjineyulu Kothakota (2022) Non-invasive and rapid quality assessment of thermal processedand canned tender jackfruit: NIR spectroscopy and chemometricApproach. International Journal of Food Science and Technology. 57(9): 6072-6081. | en_US |
dc.identifier.issn | 0950-5423 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/74447 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Thermal processing of tender jackfruit is a promising approach to enhance its shelf life and thereby retain the health benefits associated with its inherent antioxidants and phytochemicals. This research looked at the prospective and suitability of near-infrared reflectance (NIR) spectroscopy (900–1700 nm) to assess the biochemical properties namely ascorbic acid (AA), total flavonoid content (TFC), and total phenolic content (TPC) of thermally treated (pasteurisation and sterilisation) tender jackfruit stored under different preservatives (2% brine, 0.1% KMS, and 0.3% citric acid) for a period of 5 months. The partial least square regression (PLSR) models were developed by using both raw as well as pre-processed spectra. The pre-processing of spectral data diminished the prediction accuracy of models. The models developed with raw spectral data reported best prediction accuracies for AA (R2 cv = 0.628; RMSEcv = 0.416 and RPDcv = 1.763), TFC (R2 cv = 0.915; RMSEcv = 1.909 and RPDcv = 3.719), and TPC (R2 cv = 0.882; RMSEcv = 0.032 and RPDcv = 3.013) as compared to models developed with pre-processed spectral data. However, the lower prediction accuracies were observed in standard normal variate (SNV) pre-processed data for AA (R2 cv = 0.449; RMSEcv = 0.51), TFC (R2 cv = 0.500; RMSEcv = 4.628), and TPC (R2 cv = 0.396; RMSEcv = 0.072). The standard error (SEP) values of AA, TPC and TFC were almost 1.5– 2 times the standard error of laboratory (SEL); this implies the developed models have excellent performance. The results obtained in the present study affirmed that NIR spectroscopy in conjunction with appropriate chemometric techniques can be used for the rapid assessment of biochemical properties of thermal processed and canned tender jackfruit during transportation and storage. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Institute of Food Science Technology | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | ascorbic acid | en_US |
dc.subject | canning | en_US |
dc.subject | flavonoids | en_US |
dc.subject | near-infrared | en_US |
dc.subject | partial least square regression | en_US |
dc.subject | polyphenols | en_US |
dc.title | Non-invasive and rapid quality assessment of thermal processed and canned tender jackfruit: NIR spectroscopy and chemometric approach | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | International Journal of Food Science and Technology | en_US |
dc.publication.volumeno | 57(9) | en_US |
dc.publication.pagenumber | 6072-6081 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://doi.org/10.1111/ijfs.15966 | en_US |
dc.publication.authorAffiliation | Kelappaji College of Agricultural Engineering and Technology, Malappuram Kerala, India, PIN: 679 573 | en_US |
dc.publication.authorAffiliation | College of Horticulture, Kerala Agricultural University, Thrissur Kerala, India, PIN: 680 656 | en_US |
dc.publication.authorAffiliation | Centre for Water Resources Development and Management, Kozhikode Kerala, India, PIN: 673 571 | en_US |
dc.publication.authorAffiliation | Post Harvest Technology Research Station, Dr. Y.S.R Horticultural University, Venkataramannagudem 534 101, Andhra Pradesh, India | en_US |
dc.publication.authorAffiliation | Physiology, Biochemistry and Post-Harvest Technology Division, ICAR-Central Plantation Crops Research Institute, Kasaragod 671 124, Kerala, India | en_US |
dc.publication.authorAffiliation | FishProcessing Division, Central Institute of Fisheries Technology, Kochi Kerala, India, PIN: 682029 | en_US |
dc.publication.authorAffiliation | AgroProduce Processing Division, ICAR-Central Institute of Agricultural Engineering, Nabibagh, Berasia Road, Bhopal Madhya Pradesh, 462038, India | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | International | en_US |
dc.publication.naasrating | 9.71 | en_US |
dc.publication.impactfactor | 3.71 | en_US |
Appears in Collections: | FS-CIFT-Publication |
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