Application of NIR imaging to the study of expanded snacks containing amaranth, quinoa and kañiwa

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Application of NIR imaging to the study of expanded snacks containing amaranth, quinoa and kañiwa. / Ramos-Diaz, Jose Martin; Rinnan, Åsmund; Jouppila, Kirsi.

In: LWT, Vol. 102, 2019, p. 8-14.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Ramos-Diaz, JM, Rinnan, Å & Jouppila, K 2019, 'Application of NIR imaging to the study of expanded snacks containing amaranth, quinoa and kañiwa', LWT, vol. 102, pp. 8-14. https://doi.org/10.1016/j.lwt.2018.12.029

APA

Ramos-Diaz, J. M., Rinnan, Å., & Jouppila, K. (2019). Application of NIR imaging to the study of expanded snacks containing amaranth, quinoa and kañiwa. LWT, 102, 8-14. https://doi.org/10.1016/j.lwt.2018.12.029

Vancouver

Ramos-Diaz JM, Rinnan Å, Jouppila K. Application of NIR imaging to the study of expanded snacks containing amaranth, quinoa and kañiwa. LWT. 2019;102:8-14. https://doi.org/10.1016/j.lwt.2018.12.029

Author

Ramos-Diaz, Jose Martin ; Rinnan, Åsmund ; Jouppila, Kirsi. / Application of NIR imaging to the study of expanded snacks containing amaranth, quinoa and kañiwa. In: LWT. 2019 ; Vol. 102. pp. 8-14.

Bibtex

@article{45addb31281f45afa0cbc0b70d027cc0,
title = "Application of NIR imaging to the study of expanded snacks containing amaranth, quinoa and ka{\~n}iwa",
abstract = "Amaranth (Amarantus caudatus), quinoa (Chenopodium quinoa) and ka{\~n}iwa (Chenopodium pallidicaule) are Andean grains that are gaining interest as nutritious gluten-free alternatives to conventional cereals. Near infrared (NIR) imaging was applied to extrudates containing 20, 35{\%} and 50{\%} amaranth, quinoa and ka{\~n}iwa in order to study the spatial distribution of fibre and protein along the cross-sectional area. The results were contrasted with existing physical measurements (e.g., sectional expansion, stiffness) and textural data obtained from sensory profiling and temporal studies (i.e., temporal dominance of sensation, TDS). Score distribution in PCA plots was directly associated to fibre (PC1) and protein (PC2) due to spectral wavelength specificity (fibre: 1028 nm; protein: 1470 nm). Partial Least Squares regression model (PLS) showed that evenly distributed protein structures are strongly linked to desirable TDS textural properties such as crispiness and crunchiness, while protein clumps were linked to undesirable properties such as roughness. In contrast, fibre was found to reduce roughness. PLS could not explain accurately changes in physical attributes, and sensory data from profiling tests had to be omitted from computing due to lack of fit. This study shows that NIR hyperspectra imaging could help elucidate the chemical background of physical and particularly temporal dominant attributes.",
keywords = "Amaranth, Extrusion, Ka{\~n}iwa, NIR, Quinoa, Sensory",
author = "Ramos-Diaz, {Jose Martin} and {\AA}smund Rinnan and Kirsi Jouppila",
year = "2019",
doi = "10.1016/j.lwt.2018.12.029",
language = "English",
volume = "102",
pages = "8--14",
journal = "Lebensmittel - Wissenschaft und Technologie",
issn = "0023-6438",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Application of NIR imaging to the study of expanded snacks containing amaranth, quinoa and kañiwa

AU - Ramos-Diaz, Jose Martin

AU - Rinnan, Åsmund

AU - Jouppila, Kirsi

PY - 2019

Y1 - 2019

N2 - Amaranth (Amarantus caudatus), quinoa (Chenopodium quinoa) and kañiwa (Chenopodium pallidicaule) are Andean grains that are gaining interest as nutritious gluten-free alternatives to conventional cereals. Near infrared (NIR) imaging was applied to extrudates containing 20, 35% and 50% amaranth, quinoa and kañiwa in order to study the spatial distribution of fibre and protein along the cross-sectional area. The results were contrasted with existing physical measurements (e.g., sectional expansion, stiffness) and textural data obtained from sensory profiling and temporal studies (i.e., temporal dominance of sensation, TDS). Score distribution in PCA plots was directly associated to fibre (PC1) and protein (PC2) due to spectral wavelength specificity (fibre: 1028 nm; protein: 1470 nm). Partial Least Squares regression model (PLS) showed that evenly distributed protein structures are strongly linked to desirable TDS textural properties such as crispiness and crunchiness, while protein clumps were linked to undesirable properties such as roughness. In contrast, fibre was found to reduce roughness. PLS could not explain accurately changes in physical attributes, and sensory data from profiling tests had to be omitted from computing due to lack of fit. This study shows that NIR hyperspectra imaging could help elucidate the chemical background of physical and particularly temporal dominant attributes.

AB - Amaranth (Amarantus caudatus), quinoa (Chenopodium quinoa) and kañiwa (Chenopodium pallidicaule) are Andean grains that are gaining interest as nutritious gluten-free alternatives to conventional cereals. Near infrared (NIR) imaging was applied to extrudates containing 20, 35% and 50% amaranth, quinoa and kañiwa in order to study the spatial distribution of fibre and protein along the cross-sectional area. The results were contrasted with existing physical measurements (e.g., sectional expansion, stiffness) and textural data obtained from sensory profiling and temporal studies (i.e., temporal dominance of sensation, TDS). Score distribution in PCA plots was directly associated to fibre (PC1) and protein (PC2) due to spectral wavelength specificity (fibre: 1028 nm; protein: 1470 nm). Partial Least Squares regression model (PLS) showed that evenly distributed protein structures are strongly linked to desirable TDS textural properties such as crispiness and crunchiness, while protein clumps were linked to undesirable properties such as roughness. In contrast, fibre was found to reduce roughness. PLS could not explain accurately changes in physical attributes, and sensory data from profiling tests had to be omitted from computing due to lack of fit. This study shows that NIR hyperspectra imaging could help elucidate the chemical background of physical and particularly temporal dominant attributes.

KW - Amaranth

KW - Extrusion

KW - Kañiwa

KW - NIR

KW - Quinoa

KW - Sensory

U2 - 10.1016/j.lwt.2018.12.029

DO - 10.1016/j.lwt.2018.12.029

M3 - Journal article

AN - SCOPUS:85058407095

VL - 102

SP - 8

EP - 14

JO - Lebensmittel - Wissenschaft und Technologie

JF - Lebensmittel - Wissenschaft und Technologie

SN - 0023-6438

ER -

ID: 211987172