dr in\u017c. Katarzyna W\u0141ODARSKA* ORCID 0000-0001-7611-001X Instytut Nauk o Jako\u015bci, Uniwersytet Ekonomiczny w Poznaniu, Al. Niepodleg\u0142o\u015bci 10, 61-875 Pozna\u0144, Polska, e-mail: Katarzyna.Wlodarska@ue.poznan.pl<\/p>\n\n\n\n
Received 1.10.2025. Accepted 10.10.2025<\/p>\n\n\n\n
Abstract<\/strong><\/p>\n\n\n\n Purpose: <\/strong>Assessment of the applicability of NIR technology for monitoring selected quality attributes of plant-based milk alternatives available on the Polish market. Keywords<\/strong><\/p>\n\n\n\n NIR technology, machine learning, quality, food, plant-based milk alternatives<\/p>\n","protected":false},"excerpt":{"rendered":" dr in\u017c. Katarzyna W\u0141ODARSKA* ORCID 0000-0001-7611-001X Instytut Nauk o Jako\u015bci, Uniwersytet Ekonomiczny w Poznaniu, Al. Niepodleg\u0142o\u015bci 10, 61-875 Pozna\u0144, Polska, e-mail: Katarzyna.Wlodarska@ue.poznan.pl Received 1.10.2025. Accepted 10.10.2025 Abstract Purpose: Assessment of the applicability of NIR technology for monitoring selected quality attributes of plant-based milk alternatives available on the Polish market.Design\/methodology\/approach: Near infrared (NIR) spectroscopy was used […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[118],"tags":[],"class_list":["post-1414","post","type-post","status-publish","format-standard","hentry","category-issue-5-2025-publication"],"_links":{"self":[{"href":"https:\/\/problemyjakosci.com.pl\/en\/index.php?rest_route=\/wp\/v2\/posts\/1414","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/problemyjakosci.com.pl\/en\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/problemyjakosci.com.pl\/en\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/problemyjakosci.com.pl\/en\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/problemyjakosci.com.pl\/en\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1414"}],"version-history":[{"count":3,"href":"https:\/\/problemyjakosci.com.pl\/en\/index.php?rest_route=\/wp\/v2\/posts\/1414\/revisions"}],"predecessor-version":[{"id":1418,"href":"https:\/\/problemyjakosci.com.pl\/en\/index.php?rest_route=\/wp\/v2\/posts\/1414\/revisions\/1418"}],"wp:attachment":[{"href":"https:\/\/problemyjakosci.com.pl\/en\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1414"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/problemyjakosci.com.pl\/en\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1414"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/problemyjakosci.com.pl\/en\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1414"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Design\/methodology\/approach:<\/strong> Near infrared (NIR) spectroscopy was used to analyze plant-based milk alternatives made from different raw materials, such as coconut, oat, almond, rice, soy, and hazelnut. Using conventional laboratory methods, the total soluble solids content, dry matter, density, and turbidity were determined. Predictive models were developed using partial least squares (PLS) regression.
Findings\/conclusions:<\/strong> The best predictive performance was observed for dry matter content model (R\u00b2 = 0.93; RMSECV = 0.62%). Comparable predictive abilities were demonstrated by the models for the soluble solids content (R\u00b2 = 0.84; RMSECV = 1.06\u00b0Bx), turbidity (R\u00b2 = 0.88; RMSECV = 7.42 NTU) and density (R2 = 0,84; RMSECV = 0,04 g\/ml).
Research limitations:<\/strong> Due to the limited number of samples, the full variability typical of this product category may not have been fully represented. The findings, however, demonstrate the potential of NIR technology for quality evaluation. For practical applications in the food and agricultural sectors, a larger and more diverse sample set is necessary.
Practical implications:<\/strong> NIR sensors, integrated with information systems, can be used for on-line and in-line analyses to monitor the production process with minimal environmental impact through resource savings and waste reduction.
Originality\/value:<\/strong> The obtained results indicate the feasibility of simultaneous rapid and non-destructive determination of multiple quality parameters of milk alternatives based on direct NIR spectral measurements. NIR technology represents an attractive alternative to traditional analytical methods.<\/p>\n\n\n\n