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. 2022 Sep 19:2022:9825551.
doi: 10.1155/2022/9825551. eCollection 2022.

Nutritional Comparison of Sacha Inchi (Plukenetia volubilis) Residue with Edible Seeds and Nuts in Taiwan: A Chromatographic and Spectroscopic Study

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Nutritional Comparison of Sacha Inchi (Plukenetia volubilis) Residue with Edible Seeds and Nuts in Taiwan: A Chromatographic and Spectroscopic Study

Sahri Yanti et al. Int J Food Sci. .

Abstract

Sacha inchi is a source of quality commercial oil in Taiwan. Oil extraction results in sacha inchi residue have not been utilized and not much investigated. Different edible seeds and nuts have different levels of nutrients. This study aims (a) to determine the oil, moisture, ash, protein, carbohydrate, type of fatty acid, resveratrol, and type of sugar in edible seeds and nuts, including sacha inchi residue, and (b) to determine the model to predict the five macronutrients using NIR spectroscopy. The samples used were candlenut, peanut, sesame, sunflower, sacha inchi residue, and black bean. Determination was conducted using NIR spectroscopy, NMR spectroscopy, LC-MS/MS, and HPLC-ELSD. NIR spectroscopy prediction results show that candlenut is rich in oil, and sacha inchi residue is rich in minerals, protein, and moisture. The correct prediction model for oil and moisture is principal component regression, while partial least squares are for ash, protein, and carbohydrates. NMR spectroscopy results showed that all samples were rich in polyunsaturated fatty acids. Sacha inchi residue is rich in omega 3. LC-MS/MS results showed that all samples contained resveratrol, and its highest level was found in sesame. HPLC-ELSD results showed eight types of sugars in the samples. High sucrose was found in sacha inchi residue, sunflower, sesame, and candlenut. The results are expected to provide information on nutrient levels in seeds and nuts to consumers and people who deal with nutrition. Also, results are expected to increase the economic value of sacha inchi residue as a source of diversification of food products in Taiwan.

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Conflict of interest statement

The authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
Flowchart nutrient analysis.
Figure 2
Figure 2
Smoothing spectra by Savitsky-Golay (a) and SNV pretreatment spectra (b) of candlenut (cnd), peanut (pnt), sesame (ssm), sunflower (snf), sacha inchi residue (inc), black bean (bkb), and red bean (rdb).
Figure 3
Figure 3
The regression coefficient of nutrients by NIR spectroscopy.
Figure 4
Figure 4
LC-MS/MS spectra of candlenut (cnd), peanut (pnt), sesame (ssm), sunflower (snf), sacha inchi residue (inc), black bean (bkb), and fragment ion of resveratrol.
Figure 5
Figure 5
Calibration curve and chromatogram of sugar standard.

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