Non-Destructive Evaluation of the Physiochemical Properties of Milk Drink Flavored with Date Syrup Utilizing VIS-NIR Spectroscopy and ANN Analysis

A milk drink flavored with date syrup produced at a lab scale level was evaluated. The production process of date syrup involves a sequence of essential unit operations, commencing with the extraction, filtration, and concentration processes from two cultivars: Sukkary and Khlass. Date syrup was the...

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Main Authors: Mahmoud G. Elamshity, Abdullah M. Alhamdan
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/13/4/524
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author Mahmoud G. Elamshity
Abdullah M. Alhamdan
author_facet Mahmoud G. Elamshity
Abdullah M. Alhamdan
author_sort Mahmoud G. Elamshity
collection DOAJ
description A milk drink flavored with date syrup produced at a lab scale level was evaluated. The production process of date syrup involves a sequence of essential unit operations, commencing with the extraction, filtration, and concentration processes from two cultivars: Sukkary and Khlass. Date syrup was then mixed with cow’s and camel’s milk at four percentages to form a nutritious, natural, sweet, and energy-rich milk drink. The sensory, physical, and chemical characteristics of the milk drinks flavored with date syrup were examined. The objective of this work was to measure the physiochemical properties of date fruits and milk drinks flavored with date syrup, and then to evaluate the physical properties of milk drinks utilizing non-destructive visible–near-infrared spectra (VIS-NIR). The study assessed the characteristics of the milk drink enhanced with date syrup by employing VIS-NIR spectra and utilizing a partial least-square regression (PLSR) and artificial neural network (ANN) analysis. The VIS-NIR spectra proved to be highly effective in estimating the physiochemical attributes of the flavored milk drink. The ANN model outperformed the PLSR model in this context. RMSECV is considered a more reliable indicator of a model’s future predictive performance compared to RMSEC, and the R<sup>2</sup> value ranged between 0.946 and 0.989. Consequently, non-destructive VIS-NIR technology demonstrates significant promise for accurately predicting and contributing to the entire production process of the product’s properties examined.
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spelling doaj.art-386e2dae870b4130897ea25902a3238f2024-02-23T15:16:18ZengMDPI AGFoods2304-81582024-02-0113452410.3390/foods13040524Non-Destructive Evaluation of the Physiochemical Properties of Milk Drink Flavored with Date Syrup Utilizing VIS-NIR Spectroscopy and ANN AnalysisMahmoud G. Elamshity0Abdullah M. Alhamdan1Chair of Dates Industry & Technology, Agricultural Engineering Department, College of Food & Agricultural Sciences, King Saud University, Riyadh 11451, Saudi ArabiaChair of Dates Industry & Technology, Agricultural Engineering Department, College of Food & Agricultural Sciences, King Saud University, Riyadh 11451, Saudi ArabiaA milk drink flavored with date syrup produced at a lab scale level was evaluated. The production process of date syrup involves a sequence of essential unit operations, commencing with the extraction, filtration, and concentration processes from two cultivars: Sukkary and Khlass. Date syrup was then mixed with cow’s and camel’s milk at four percentages to form a nutritious, natural, sweet, and energy-rich milk drink. The sensory, physical, and chemical characteristics of the milk drinks flavored with date syrup were examined. The objective of this work was to measure the physiochemical properties of date fruits and milk drinks flavored with date syrup, and then to evaluate the physical properties of milk drinks utilizing non-destructive visible–near-infrared spectra (VIS-NIR). The study assessed the characteristics of the milk drink enhanced with date syrup by employing VIS-NIR spectra and utilizing a partial least-square regression (PLSR) and artificial neural network (ANN) analysis. The VIS-NIR spectra proved to be highly effective in estimating the physiochemical attributes of the flavored milk drink. The ANN model outperformed the PLSR model in this context. RMSECV is considered a more reliable indicator of a model’s future predictive performance compared to RMSEC, and the R<sup>2</sup> value ranged between 0.946 and 0.989. Consequently, non-destructive VIS-NIR technology demonstrates significant promise for accurately predicting and contributing to the entire production process of the product’s properties examined.https://www.mdpi.com/2304-8158/13/4/524milkdatessyrupSukkaryKhlassdrink
spellingShingle Mahmoud G. Elamshity
Abdullah M. Alhamdan
Non-Destructive Evaluation of the Physiochemical Properties of Milk Drink Flavored with Date Syrup Utilizing VIS-NIR Spectroscopy and ANN Analysis
Foods
milk
dates
syrup
Sukkary
Khlass
drink
title Non-Destructive Evaluation of the Physiochemical Properties of Milk Drink Flavored with Date Syrup Utilizing VIS-NIR Spectroscopy and ANN Analysis
title_full Non-Destructive Evaluation of the Physiochemical Properties of Milk Drink Flavored with Date Syrup Utilizing VIS-NIR Spectroscopy and ANN Analysis
title_fullStr Non-Destructive Evaluation of the Physiochemical Properties of Milk Drink Flavored with Date Syrup Utilizing VIS-NIR Spectroscopy and ANN Analysis
title_full_unstemmed Non-Destructive Evaluation of the Physiochemical Properties of Milk Drink Flavored with Date Syrup Utilizing VIS-NIR Spectroscopy and ANN Analysis
title_short Non-Destructive Evaluation of the Physiochemical Properties of Milk Drink Flavored with Date Syrup Utilizing VIS-NIR Spectroscopy and ANN Analysis
title_sort non destructive evaluation of the physiochemical properties of milk drink flavored with date syrup utilizing vis nir spectroscopy and ann analysis
topic milk
dates
syrup
Sukkary
Khlass
drink
url https://www.mdpi.com/2304-8158/13/4/524
work_keys_str_mv AT mahmoudgelamshity nondestructiveevaluationofthephysiochemicalpropertiesofmilkdrinkflavoredwithdatesyruputilizingvisnirspectroscopyandannanalysis
AT abdullahmalhamdan nondestructiveevaluationofthephysiochemicalpropertiesofmilkdrinkflavoredwithdatesyruputilizingvisnirspectroscopyandannanalysis