Matches in SemOpenAlex for { <https://semopenalex.org/work/W2528541618> ?p ?o ?g. }
- W2528541618 endingPage "1642" @default.
- W2528541618 startingPage "1633" @default.
- W2528541618 abstract "In the present work, 116 samples were collected and near-infrared reflectance spectroscopy prediction model for determination of moisture, protein, and fat contents of walnut meal were obtained and evaluated. All the samples were analyzed based on the chemical methods. Meanwhile, they were scanned to obtain their near-infrared reflectance spectrum in the wavelength range of 570–1840 nm. Several preprocess treatments including scattering pretreatments, mathematical pretreatments, and aggression methods were optimized to increase the accuracy of the calibration models according to the coefficient of determination for calibration (Rc2) and the cross-validation (one minus the variance ratio, 1-VR), and the standard error of calibration and cross-validation. The results showed modified partial least square loading was the better aggression method to predict the moisture, proteins, and fats in walnut kernel. The calibration equations obtained indicated that near-infrared reflectance spectroscopy had excellent predictive capacity for the three components with Rc2 = 0.965, standard error of calibration = 0.052 for moisture, and Rc2 = 0.967, standard error of calibration = 0.191 for proteins, and Rc2 = 0.979, standard error of calibration = 0.171 for fats, respectively. The external validation further confirmed the robustness and reliability of the near-infrared reflectance spectroscopy prediction models with the correlation coefficient of actual and predicted values (R2) = 0.952, ratio of performance deviation = 4.14, the standard error of prediction =0.058 for moisture, and R2 = 0.977, ratio of performance deviation = 5.55, standard error of prediction = 0.182 for proteins, and R2 = 0.990, ratio of performance deviation = 8.64, standard error of prediction = 0.191 for fats, respectively. Near-infrared reflectance spectroscopy is a reliable technology to predict these constituents in walnuts." @default.
- W2528541618 created "2016-10-14" @default.
- W2528541618 creator A5029188084 @default.
- W2528541618 creator A5037431238 @default.
- W2528541618 creator A5058159808 @default.
- W2528541618 creator A5072842486 @default.
- W2528541618 creator A5083323586 @default.
- W2528541618 date "2016-10-02" @default.
- W2528541618 modified "2023-10-16" @default.
- W2528541618 title "Near-infrared reflectance spectroscopy for the prediction of chemical composition in walnut kernel" @default.
- W2528541618 cites W1582402860 @default.
- W2528541618 cites W1968572855 @default.
- W2528541618 cites W1975327036 @default.
- W2528541618 cites W1979034884 @default.
- W2528541618 cites W1987102447 @default.
- W2528541618 cites W1990924901 @default.
- W2528541618 cites W2002207439 @default.
- W2528541618 cites W2004889308 @default.
- W2528541618 cites W2007879138 @default.
- W2528541618 cites W2012132696 @default.
- W2528541618 cites W2014146444 @default.
- W2528541618 cites W2016816890 @default.
- W2528541618 cites W2031948661 @default.
- W2528541618 cites W2038066976 @default.
- W2528541618 cites W2038615705 @default.
- W2528541618 cites W2042747620 @default.
- W2528541618 cites W2051100938 @default.
- W2528541618 cites W2055910834 @default.
- W2528541618 cites W2056829711 @default.
- W2528541618 cites W2059665632 @default.
- W2528541618 cites W2061637961 @default.
- W2528541618 cites W2064160949 @default.
- W2528541618 cites W2066753452 @default.
- W2528541618 cites W2068016120 @default.
- W2528541618 cites W2071060115 @default.
- W2528541618 cites W2077211937 @default.
- W2528541618 cites W2084098135 @default.
- W2528541618 cites W2084346264 @default.
- W2528541618 cites W2087516637 @default.
- W2528541618 cites W2090088893 @default.
- W2528541618 cites W2099491293 @default.
- W2528541618 cites W2104530787 @default.
- W2528541618 cites W2139507831 @default.
- W2528541618 cites W2157273615 @default.
- W2528541618 cites W2183925520 @default.
- W2528541618 cites W2312285970 @default.
- W2528541618 cites W2318954061 @default.
- W2528541618 cites W2328971175 @default.
- W2528541618 cites W4243091892 @default.
- W2528541618 doi "https://doi.org/10.1080/10942912.2016.1217006" @default.
- W2528541618 hasPublicationYear "2016" @default.
- W2528541618 type Work @default.
- W2528541618 sameAs 2528541618 @default.
- W2528541618 citedByCount "30" @default.
- W2528541618 countsByYear W25285416182017 @default.
- W2528541618 countsByYear W25285416182019 @default.
- W2528541618 countsByYear W25285416182020 @default.
- W2528541618 countsByYear W25285416182021 @default.
- W2528541618 countsByYear W25285416182022 @default.
- W2528541618 countsByYear W25285416182023 @default.
- W2528541618 crossrefType "journal-article" @default.
- W2528541618 hasAuthorship W2528541618A5029188084 @default.
- W2528541618 hasAuthorship W2528541618A5037431238 @default.
- W2528541618 hasAuthorship W2528541618A5058159808 @default.
- W2528541618 hasAuthorship W2528541618A5072842486 @default.
- W2528541618 hasAuthorship W2528541618A5083323586 @default.
- W2528541618 hasBestOaLocation W25285416181 @default.
- W2528541618 hasConcept C105795698 @default.
- W2528541618 hasConcept C113196181 @default.
- W2528541618 hasConcept C120665830 @default.
- W2528541618 hasConcept C121332964 @default.
- W2528541618 hasConcept C127313418 @default.
- W2528541618 hasConcept C128990827 @default.
- W2528541618 hasConcept C139945424 @default.
- W2528541618 hasConcept C156328458 @default.
- W2528541618 hasConcept C161790260 @default.
- W2528541618 hasConcept C165838908 @default.
- W2528541618 hasConcept C176864760 @default.
- W2528541618 hasConcept C178790620 @default.
- W2528541618 hasConcept C185592680 @default.
- W2528541618 hasConcept C18747219 @default.
- W2528541618 hasConcept C22679943 @default.
- W2528541618 hasConcept C2780092901 @default.
- W2528541618 hasConcept C2992117060 @default.
- W2528541618 hasConcept C32891209 @default.
- W2528541618 hasConcept C33923547 @default.
- W2528541618 hasConcept C39432304 @default.
- W2528541618 hasConcept C43571822 @default.
- W2528541618 hasConcept C43617362 @default.
- W2528541618 hasConcept C55493867 @default.
- W2528541618 hasConcept C62520636 @default.
- W2528541618 hasConcept C62649853 @default.
- W2528541618 hasConcept C65165184 @default.
- W2528541618 hasConceptScore W2528541618C105795698 @default.
- W2528541618 hasConceptScore W2528541618C113196181 @default.
- W2528541618 hasConceptScore W2528541618C120665830 @default.
- W2528541618 hasConceptScore W2528541618C121332964 @default.
- W2528541618 hasConceptScore W2528541618C127313418 @default.