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Ye Z, Wang J, Gan S, Dong G, Yang F. Combination of fingerprint and chemometric analytical approaches to identify the geographical origin of Qinghai-Tibet plateau rapeseed oil. Heliyon 2024; 10:e27167. [PMID: 38444496 PMCID: PMC10912685 DOI: 10.1016/j.heliyon.2024.e27167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/13/2024] [Accepted: 02/26/2024] [Indexed: 03/07/2024] Open
Abstract
Verification of the geographical origin of rapeseed oil is essential to protect consumers from fraudulent products. A prospective study was conducted on 45 samples from three rapeseed oil-producing areas in Qinghai Province, which were analyzed by GC-FID and GC-MS. To assess the accuracy of the prediction of origin, classification models were developed using PCA, OPLS-DA, and LDA. It was found that multivariate analysis combined with PCA separate 96% of the samples, and the correct sample discrimination rate based on the OPLS-DA model was over 98%. The predictive index of the model was Q2 = 0.841, indicating that the model had good predictive ability. The LDA results showed highly accurate classification (100%) and cross-validation (100%) rates for the rapeseed oil samples, demonstrating that the model had strong predictive capacity. These findings will serve as a foundation for the implementation and advancement of origin traceability using the combination of fatty acid, phytosterol and tocopherol fingerprints.
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Affiliation(s)
- Ziqin Ye
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, 810016, PR China
| | - Jinying Wang
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, 810016, PR China
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, PR China
| | - Shengrui Gan
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, 810016, PR China
| | - Guoxin Dong
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, 810016, PR China
| | - Furong Yang
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, 810016, PR China
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Yang D, Jia L, Zhou Y, Lu J, He Y, Jiao J, Huang J, Xia R, Li Y, Han L, Peng Z. Geographical origin traceability of mulberry leaves using stable hydrogen, oxygen, and carbon isotope ratios. ANAL SCI 2023; 39:2075-2083. [PMID: 37665546 DOI: 10.1007/s44211-023-00414-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 08/17/2023] [Indexed: 09/05/2023]
Abstract
Geographical discrimination of mulberry leaves is very important for their efficacy and quality as a traditional Chinese medicine. Stable hydrogen, oxygen, and carbon isotope ratios were measured in 292 mulberry leaves collected at 2 growth stages in 2 seasons from 8 regions of China. A stepwise linear discriminant analysis (LDA) approach were proposed to combine with stable isotope technology to tracing the origin of mulberry leaves. The results showed that leaves sampled in autumn were extremely depleted in 2H and 18O and slightly enriched in 13C compared with leaves sampled in summer, correlated with the effect of season, transpiration and photorespiration on stable isotopes. δ2H and δ18O of the leaves were enriched during the growth process. The overall discrimination accuracy of the autumn tender model was 81%, demonstrating that analysis of δ2H, δ18O, and δ13C is a promising technique for tracing the geographical origin of mulberry leaves, although season, growth stage and number of samples affect the accuracy of discrimination.
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Affiliation(s)
- Dan Yang
- College of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, China
- Institute of Textile Conservation, Zhejiang Sci-Tech University, Hangzhou, 310018, China
| | - Liling Jia
- Key Scientific Research Base of Textile Conservation, State Administration for Cultural Heritage, China National Silk Museum, Hangzhou, 310002, China
| | - Yang Zhou
- Key Scientific Research Base of Textile Conservation, State Administration for Cultural Heritage, China National Silk Museum, Hangzhou, 310002, China
| | - Jingzhong Lu
- College of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, China
- Institute of Textile Conservation, Zhejiang Sci-Tech University, Hangzhou, 310018, China
| | - Yujie He
- College of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, China
- Institute of Textile Conservation, Zhejiang Sci-Tech University, Hangzhou, 310018, China
| | - Jinpeng Jiao
- College of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, China
- Institute of Textile Conservation, Zhejiang Sci-Tech University, Hangzhou, 310018, China
| | - Ju Huang
- College of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, China
- Institute of Textile Conservation, Zhejiang Sci-Tech University, Hangzhou, 310018, China
| | - Runtao Xia
- College of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, China
- Institute of Textile Conservation, Zhejiang Sci-Tech University, Hangzhou, 310018, China
| | - Yuxing Li
- College of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, China
- Institute of Textile Conservation, Zhejiang Sci-Tech University, Hangzhou, 310018, China
| | - Lihua Han
- College of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, China
- Institute of Textile Conservation, Zhejiang Sci-Tech University, Hangzhou, 310018, China
| | - Zhiqin Peng
- College of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
- Institute of Textile Conservation, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
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Zhu H, Zhu D, Sun J. Application of GC-IMS coupled with chemometric analysis for the classification and authentication of geographical indication agricultural products and food. Front Nutr 2023; 10:1247695. [PMID: 37727631 PMCID: PMC10506265 DOI: 10.3389/fnut.2023.1247695] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 08/21/2023] [Indexed: 09/21/2023] Open
Abstract
Geographical indications (GI) are used to protect the brand value of agricultural products, foodstuffs, and wine and promote the sustainable development of the agricultural and food industries. Despite the necessity for the traceability and recognition of GI product characteristics, no rapid, non-destructive approaches currently exist to identify, classify, and predict these properties. The application of gas chromatography-ion mobility spectrometry (GC-IMS) has increased exponentially due to instrument robustness and simplicity. This paper provided a detailed overview of recent GC-IMS applications in China for the quality evaluation of GI products and food, including agricultural products, as well as traditional Chinese food and liquor. The general workflow of GC-IMS coupled with chemometric analysis is presented, including sample collection, model construction and interpretation, and data acquisition, processing, and fusion. Several conclusions are drawn to increase partial least squares-discriminant analysis (PLS-DA) model precision, a chemometric technique frequently combined with GC-IMS.
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Affiliation(s)
| | | | - Junmao Sun
- Institute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing, China
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A comprehensive overview of emerging techniques and chemometrics for authenticity and traceability of animal-derived food. Food Chem 2023; 402:134216. [DOI: 10.1016/j.foodchem.2022.134216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 08/21/2022] [Accepted: 09/09/2022] [Indexed: 11/17/2022]
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Gong S, Yuan M, Liu Y, Zhu Y, Zeng C, Peng C, Guo L. Application of Stable Isotopes with Machine Learning Techniques for Identifying Aconiti Lateralis Radix Praeparata (Fuzi) Geographical Origins. Microchem J 2022. [DOI: 10.1016/j.microc.2022.108002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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Sakai S, Otsuka T, Matsuda S, Sakairi Y, Uchida R, Sugahara K, Kano A, Yang D. Subnanomolar Sensitive Stable Isotopic Determination in CO 2 by Tunable Infrared Laser Absorption Spectroscopy. Anal Chem 2022; 94:6446-6450. [PMID: 35436401 PMCID: PMC9910618 DOI: 10.1021/acs.analchem.1c05458] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Oxygen and carbon stable isotope ratios (18O/16O, 13C/12C, and 17O/16O) of CO2 have been crucial in helping us understand Earth and planetary systems. These ratios have also been used in medicine for the noninvasive diagnosis of diseases from exhaled breath and for quantifying biochemical or metabolic reactions and in determining the production area of agricultural products. The current method for measuring the stable isotope ratios of CO2 is primarily gas-source isotope ratio mass spectroscopy (IRMS). Due to the recent demand for isotopic microanalysis of carbonates and organic compounds, the sample size required for isotopic measurements has been reduced to approximately 2 nmol CO2 (equivalent to 0.2 μg CaCO3 and 24 ng carbon) by using high-precision IRMS. We report a novel method using tunable mid-infrared laser direct absorption spectroscopy (TILDAS) for sensitive measurements of 18O/16O and 13C/12C in subnanomolar CO2. This method can accurately measure 18O/16O and 13C/12C in CO2 with a repeatability of less than 0.03‰ (n = 28) in a range of 0.3 nmol (equivalent to 0.03 μg CaCO3 and 3.8 ng carbon) to 30 nmol. This is a sample size 1 order of magnitude smaller than currently available sensitive analytical techniques. In addition, the TILDAS system measures 17O/16O simultaneously with a repeatability of less than 0.06‰ (n = 28). Our method is a major advance in supersensitive CO2 stable isotopic analyses for various fields.
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Affiliation(s)
- Saburo Sakai
- Biogeochemistry Research Center, Japan Agency for Marine-Earth Science and Technology, Yokosuka, Kanagawa 237-0061, Japan; Department of Medical Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, Indiana 47907, United States
| | - Taiga Otsuka
- HORIBA Techno Service Co., Ltd., Kyoto 601-8510, Japan
| | | | - Yoshiyuki Sakairi
- Measurement Agency Co., Ltd., Kawaguchi-shi, Saitama 334-0013, Japan
| | - Ryoma Uchida
- Measurement Agency Co., Ltd., Kawaguchi-shi, Saitama 334-0013, Japan
| | | | - Akihiro Kano
- Department of Earth and Planetary Science, The University of Tokyo, Tokyo 113-0033, Japan
| | - Danzhou Yang
- Department of Medical Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, Indiana 47907, United States
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WATANABE A, SENO T, SUZUKI Y, HOKURA A. Determination of Trace Elements in Polished Asian Rice Using XRF spectrometer Equipped with Polarization Optics and Its Application to Identification of Their Production Area. BUNSEKI KAGAKU 2021. [DOI: 10.2116/bunsekikagaku.70.583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
| | - Takashi SENO
- Department of Applied Chemistry, School of Engineering, Tokyo Denki University
| | - Yaeko SUZUKI
- Food Research Institute, National Agriculture and Food Research Organization(NARO)
| | - Akiko HOKURA
- Department of Applied Chemistry, School of Engineering, Tokyo Denki University
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