Stable isotopic and elemental characteristics with chemometrics for the geographical origin authentication of Dendrobium officinale at two spatial scales

Xiong, Feng; Yuan, Yujie; Li, Chunlin; Lyu, Chao-Geng; Wan, Xiu-Fu; Nie, Jing; Li, Haiyan; Yang, Jian; Guo, Lanping

doi:10.1016/j.lwt.2022.113871

Cited by 16 publications

(10 citation statements)

References 39 publications

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“…Linear Discriminant Analysis (LDA) is a supervised pattern recognition method. Samples are pre‐classified into groups before the model is run, so this discriminant method is different from unsupervised methods such as HCA and PCA (Xiong et al ., 2022). Linear discriminant analysis was performed using 13 elements ( P < 0.05) with significant differences among the three regions.…”

Section: Origin Traceability Analysis Methodsmentioning

confidence: 99%

Traceability of Guizhou green tea production areas based on multi‐element characteristics combined with biochemical components

Huang,

Xia,

Zhang

et al. 2024

Int J of Food Sci Tech

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SummaryThe unique geographical environment of Guizhou has created the unique quality characteristics of green tea. To distinguish green tea from different regions in Guizhou, and provide a theoretical basis for origin traceability and quality evaluation for producers and consumers, this article analysed 12 mineral elements, 2 stable isotopes and 3 biochemical components in green tea samples from different regions in Guizhou, and combined with analysis of variance (ANOVA), principal component analysis (PCA), linear discriminant analysis (LDA) and orthogonal partial least squares discriminant analysis (OPLS–DA), the possibility of identifying and distinguishing the origin of green tea in Guizhou was studied. The results show that LDA has the highest discriminant accuracy, which can reach 93.3%. In addition, the data showed that Ca, Zn, Mn, Cr, Pb, As and caffeine were important variables to distinguish green tea samples from different regions of Guizhou.

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Section: Origin Traceability Analysis Methodsmentioning

confidence: 99%

Traceability of Guizhou green tea production areas based on multi‐element characteristics combined with biochemical components

Huang,

Xia,

Zhang

et al. 2024

Int J of Food Sci Tech

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“…Dendrobium is mainly distributed in the sub‐tropical regions in China, including Guizhou, Yunnan, and Guangxi (Xiong et al ., 2022 ). The impact of region on the volatile composition of Tiepishihu has been reported by Hu et al .…”

Section: Factors Affecting Tiepishihu's Flavour Profilementioning

confidence: 99%

A flavour perspective of Tiepishihu (Dendrobium officinale) – an emerging food ingredient from popular traditional Chinese medicinal plants: a review

Kirkwood

Fisk

Ayed

et al. 2023

Int J of Food Sci Tech

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SummaryMany Dendrobium orchid stems are used in Traditional Chinese Medicine (TCM). The most popular and premium species is Dendrobium officinale, and its stem in TCM is called Tiepishihu. Tiepishihu has a sweet flavour and is an ingredient in Chinese tea and desserts. There is no comprehensive understanding of its flavour compounds. It is therefore essential to understand compounds responsible for its flavour and how they are formed. This review assesses twelve diverse studies in Tiepishihu flavour (2013‐2022). Thirty aroma compounds were compared – furfural and nonanal were identified as common compounds. Five of seven essential amino acids were taste‐active, with lysine being the most potent. Pre‐harvest factors such as environment impact specific aroma compounds. Post‐harvest processing methods, including drying and grinding, can control Tiepishihu's flavour. Methodological consistency is a challenge, but controlling Tiepishihu's flavour could increase its commercial value as a food ingredient.

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“…In addition, how the SIRs and elements in Chinese yams (Tiegun) react to different environmental factors has also been investigated. SIRs such as δ 13 C, δ 15 N, δ 2 H, and δ 18 O in plants are largely correlated with climate and soil factors at large geographical scales ( Xiong et al, 2022 , Yoneyama et al, 1998 ), while multielement fingerprints are more correlated with the soil background, which is thought to be heterogeneous ( Hao et al, 2021 , Zhao and Yang, 2022 ). Consequently, the cause of the variation in SIRs and elemental characteristics in Chinese yams (Tiegun) from different regions was investigated.…”

Section: Introductionmentioning

confidence: 99%

Authenticating the geographical origin of the Chinese yam (Tiegun) with stable isotopes and multiple elements

et al. 2023

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Stable isotopic and elemental characteristics with chemometrics for the geographical origin authentication of Dendrobium officinale at two spatial scales

Cited by 16 publications

References 39 publications

Traceability of Guizhou green tea production areas based on multi‐element characteristics combined with biochemical components

Traceability of Guizhou green tea production areas based on multi‐element characteristics combined with biochemical components

A flavour perspective of Tiepishihu (Dendrobium officinale) – an emerging food ingredient from popular traditional Chinese medicinal plants: a review

Authenticating the geographical origin of the Chinese yam (Tiegun) with stable isotopes and multiple elements

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