دورية أكاديمية
Rapid non-destructive monitoring and quality assessment of the fumigation process of Shanxi aged vinegar based on Vis-NIR hyperspectral imaging combined with multiple chemometric algorithms.
العنوان: | Rapid non-destructive monitoring and quality assessment of the fumigation process of Shanxi aged vinegar based on Vis-NIR hyperspectral imaging combined with multiple chemometric algorithms. |
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المؤلفون: | Zhang X; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China., Huang X; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China. Electronic address: h_xingyi@163.com., Harrington Aheto J; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China., Xu F; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China., Dai C; School of Electrical and Information Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China., Ren Y; School of Smart Agriculture, Suzhou Polytechnic Institute of Agriculture, Xiyuan Road 279, Suzhou 215008, Jiangsu, PR China., Wang L; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China., Yu S; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China. |
المصدر: | Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2024 Nov 05; Vol. 320, pp. 124539. Date of Electronic Publication: 2024 May 27. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Elsevier Country of Publication: England NLM ID: 9602533 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3557 (Electronic) Linking ISSN: 13861425 NLM ISO Abbreviation: Spectrochim Acta A Mol Biomol Spectrosc Subsets: MEDLINE |
أسماء مطبوعة: | Publication: Original Publication: [Kidlington, Oxford, U.K. ; Tarrytown, NY] : Pergamon, c1994- |
مواضيع طبية MeSH: | Fumigation*/methods , Spectroscopy, Near-Infrared*/methods , Acetic Acid*/chemistry , Hyperspectral Imaging*/methods , Algorithms*, Chemometrics/methods ; Support Vector Machine ; Least-Squares Analysis |
مستخلص: | The quality of the grains during the fumigation process can significantly affect the flavour and nutritional value of Shanxi aged vinegar (SAV). Hyperspectral imaging (HSI) was used to monitor the extent of fumigated grains, and it was combined with chemometrics to quantitatively predict three key physicochemical constituents: moisture content (MC), total acid (TA) and amino acid nitrogen (AAN). The noise reduction effects of five spectral preprocessing methods were compared, followed by the screening of optimal wavelengths using competitive adaptive reweighted sampling. Support vector machine classification was employed to establish a model for discriminating fumigated grains, and the best recognition accuracy reached 100%. Furthermore, the results of partial least squares regression slightly outperformed support vector machine regression, with correlation coefficient for prediction (Rp) of 0.9697, 0.9716, and 0.9098 for MC, TA, and AAN, respectively. The study demonstrates that HSI can be employed for rapid non-destructive monitoring and quality assessment of the fumigation process in SAV. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024. Published by Elsevier B.V.) |
فهرسة مساهمة: | Keywords: Chemometric algorithms; Fumigation process; Hyperspectral imaging technology; Nondestructive detection; Shanxi aged vinegar |
المشرفين على المادة: | Q40Q9N063P (Acetic Acid) |
تواريخ الأحداث: | Date Created: 20240613 Date Completed: 20240706 Latest Revision: 20240706 |
رمز التحديث: | 20240707 |
DOI: | 10.1016/j.saa.2024.124539 |
PMID: | 38870693 |
قاعدة البيانات: | MEDLINE |
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