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利用二阶导数傅里叶变换红外光谱法对亚洲红辣椒粉地理来源的判别分析

Discriminant Analysis of the Geographical Origin of Asian Red Pepper Powders Using Second-Derivative FT-IR Spectroscopy.

作者信息

Kim Miso, Hong Junyoung, Lee Dongwon, Kim Sohyun, Chun Hyang Sook, Cho Yoon-Ho, Kim Byung Hee, Ahn Sangdoo

机构信息

Department of Chemistry, Chung-Ang University, Seoul 06974, Korea.

Department of Food Science & Technology, Chung-Ang University, Ansung 17546, Korea.

出版信息

Foods. 2021 May 10;10(5):1034. doi: 10.3390/foods10051034.

DOI:10.3390/foods10051034
PMID:34068620
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8150797/
Abstract

This study aimed to discriminate between the geographical origins of Asian red pepper powders distributed in Korea using Fourier-transform infrared (FT-IR) spectroscopy coupled with multivariate statistical analyses. Second-derivative spectral data were obtained from a total of 105 red pepper powder samples, 86 of which were used for statistical analysis, and the remaining 19 were used for blind testing. A one-way analysis of variance (ANOVA) test confirmed that eight peak variables exhibited significant origin-dependent differences, and the canonical discriminant functions derived from these variables were used to correctly classify all the red pepper powder samples based on their origins. The applicability of the canonical discriminant functions was examined by performing a blind test wherein the origins of 19 new red pepper powder samples were correctly classified. For simplicity, the four most significant variables were selected as discriminant indicator variables, and the applicable range for each indicator variable was set for each geographical origin. By applying the indicator variable ranges, the origins of the red pepper powders of all the statistical and blind samples were correctly identified. The study findings indicate the feasibility of using FT-IR spectroscopy in combination with multivariate analysis for identifying the geographical origins of red pepper powders.

摘要

本研究旨在利用傅里叶变换红外(FT-IR)光谱结合多元统计分析来区分在韩国销售的亚洲红辣椒粉的地理来源。从总共105个红辣椒粉样品中获得二阶导数光谱数据,其中86个用于统计分析,其余19个用于盲测。单因素方差分析(ANOVA)测试证实,八个峰变量呈现出显著的产地依赖性差异,从这些变量导出的典型判别函数用于根据产地对所有红辣椒粉样品进行正确分类。通过进行盲测来检验典型判别函数的适用性,其中19个新红辣椒粉样品的产地被正确分类。为简化起见,选择四个最显著的变量作为判别指标变量,并为每个地理来源设定每个指标变量的适用范围。通过应用指标变量范围,所有统计样品和盲测样品的红辣椒粉产地都被正确识别。研究结果表明,利用FT-IR光谱结合多变量分析来识别红辣椒粉地理来源是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88e6/8150797/3dc35de80c89/foods-10-01034-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88e6/8150797/3113abab4875/foods-10-01034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88e6/8150797/ade1905d6501/foods-10-01034-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88e6/8150797/3dc35de80c89/foods-10-01034-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88e6/8150797/3113abab4875/foods-10-01034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88e6/8150797/ade1905d6501/foods-10-01034-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88e6/8150797/3dc35de80c89/foods-10-01034-g003.jpg

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