Nondestructive determination of soluble solids content, firmness, and moisture content of “Longxiang” pears during maturation using near‐infrared spectroscopy

Liu, Dayang; Wang, Enfeng; Wang, Guanglai; Ma, Guangkai

doi:10.1111/jfpp.16332

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Nondestructive determination of soluble solids content, firmness, and moisture content of “Longxiang” pears during maturation using near‐infrared spectroscopy

Author(s): Dayang Liu ¹ , Enfeng Wang ¹ , Guanglai Wang ¹ , Guangkai Ma ¹

Publication date (Electronic): January 13 2022

Journal: Journal of Food Processing and Preservation

Publisher: Wiley

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PLS-regression: a basic tool of chemometrics

Svante Wold, Michael Sjöström, Lennart Eriksson (2001)

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A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm

Henrique Mohallem Paiva, Roberto Kawakami Harrop Galvão, Mário César Ugulino Araujo … (2008)

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Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review

Ebrahiema Arendse, Olaniyi Amos Fawole, Lembe Magwaza … (2018)

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Dayang Liu: (View ORCID Profile)

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Title: Journal of Food Processing and Preservation

Abbreviated Title: Food Processing Preservation

Publisher: Wiley

ISSN (Print): 0145-8892

ISSN (Electronic): 1745-4549

Publication date Created: March 2022

Publication date (Electronic): January 13 2022

Publication date (Print): March 2022

Volume: 46

Issue: 3

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[1 ]<idGroup xmlns="http://www.wiley.com/namespaces/wiley"> <id type="ringgold" value="47820"></id> </idGroup> College of Mechanical and Electrical Engineering Northeast Forestry University Harbin China

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DOI: 10.1111/jfpp.16332

SO-VID: 5c76622e-60f0-44b6-9beb-93e6a027bd02

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Nondestructive determination of soluble solids content, firmness, and moisture content of “Longxiang” pears during maturation using near‐infrared spectroscopy

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Most cited references 38

PLS-regression: a basic tool of chemometrics

A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm

Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review

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