کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11000328 | 1423848 | 2018 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Data on roasted coffee with specific defects analyzed by infrared-photoacoustic spectroscopy and chemometrics
ترجمه فارسی عنوان
داده های مربوط به قهوه بو داده با نقایص خاص با استفاده از طیف سنجی مادون قرمز و فوتوکوسیت و شبیه سازی
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
چکیده انگلیسی
This article contains data related to the research article entitled “Quantitative assessment of specific defects in roasted ground coffee via infrared-photoacoustic spectroscopy” (Dias et al., 2018) [1]. A method potentially able for assessing the quality of roasted ground coffees is described in the origin paper. Infrared spectroscopy and photoacoustic detection (FTIR-PAS) associated with multivariate calibration were used. The samples were obtained blending whole and healthy coffee beans (C. arabica and C. canephora) with specific blends of defects, named selections, which contain broken, sour, and black beans, skin, woods and healthy beans still not collected. In addition to a reduction in commercial value, the presence of defects compromises the sensory attributes of coffee. On the other hand, selections are commonly found in coffee crops and can be added intentionally to the product. Twenty-five selections were used to obtain a panel of 154 blends. The FTIR-PAS spectra of each sample generated the prediction model of Partial Least Squares Regression parameters, which are also presented here.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data in Brief - Volume 20, October 2018, Pages 242-249
Journal: Data in Brief - Volume 20, October 2018, Pages 242-249
نویسندگان
Rafael Carlos Eloy Dias, PatrÃcia Valderrama, Paulo Henrique Março, Maria Brigida Dos Santos Scholz, Michael Edelmann, Chahan Yeretzian,