Authentication of commercial spices based on the similarities between gas chromatographic fingerprints

Matsushita, T.; Zhao, Jing; Igura, Noriyuki; Shimoda, Mitsuya

doi:10.1002/jsfa.8797

Cited by 18 publications

(6 citation statements)

References 31 publications

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“…The relative peak areas were calculated according to the total peak areas in each sample as suggested in other previous works. 30,31 Statistical analyses was performed using Metaboanalyst 3.0 package. 32 Analysis of variance (ANOVA) and Tukey's test (P < 0.05) were carried out to assess the significant difference among the groups.…”

Section: Statistical Analysis Of the Vocs Profile Datamentioning

confidence: 99%

Mango (Mangifera indica) Aroma Discriminate Cultivars and Ripeness Stages

Mesquita¹,

Pena²,

Santos

et al. 2020

J. Braz. Chem. Soc.

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Mango (Mangifera indica) has many nutritional attributes that stimulate its consumption, such as sweetness, balanced acidity and intense fruity aroma. In this study, it was demonstrated that both the variety and ripening stage have a significant impact on the aroma of mango. The volatile compound profile of "Tommy Atkins", "palmer", "espada" and "Carlota" varieties in green and ripe stages were characterized by headspace solid-phase microextraction gas chromatography mass spectrometry (HS-SPME/GC-MS). Thirty-three volatile compounds were identified, 30 from "Tommy Atkins", 29 from "espada", 25 from "palmer" and 10 from the "Carlota" variety. The major compounds were monoterpene and sesquiterpene hydrocarbons, regardless of the degree of maturity. However, the oxygenated monoterpenes, esters and lactones were also identified as minor compounds. δ-3-Carene terpene is the most abundant in the varieties "Tommy Atkins" and "palmer", α-terpinolene is the most abundant in the cv. "espada", and myrcene in cv. "Carlota". The profile's aroma obtained by HS-SPME/GC-MS associated with multivariate data analysis lead to discrimination of four mango varieties in green and ripeness stages. Therefore, the volatile compounds markers of fruit maturation identified in this study can be used to increase the efficiency of mango sorting to improve quality control and meet the consumer market requirements.

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Section: Statistical Analysis Of the Vocs Profile Datamentioning

confidence: 99%

Mango (Mangifera indica) Aroma Discriminate Cultivars and Ripeness Stages

Mesquita¹,

Pena²,

Santos

et al. 2020

J. Braz. Chem. Soc.

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show abstract

“…Each sample was heated at 60℃ for 30 mins. After that, the SPME fiber coated with carboxen/polydimethylsiloxane (CAR/PDMS, 65 μm, Bellefonte, PA, USA) was conditioned in the GC-MS injection port for 30 min at 240℃ to remove any contaminants, and then was exposed to the vial headspace and inserted into the injection port of the GC system 21) .…”

Section: Identification Of Chemical Compounds From Pipermentioning

confidence: 99%

Preparation of <i>Piper nigrum</i> Microcapsules by Spray Drying and Optimization with Response Surface Methodology

et al. 2022

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“…They are also essential indicators of geographical origins. Although VOC metabolites have been studied in various food authenticity studies, such as geographic [ 1 , 4 , 14 ] and botanical origin identification [ 15 , 16 , 17 ], a method for quick identification of the geographic origin of rice from a different region is still lacking. Therefore, in the current study, a non-targeted VOC metabolomics method was applied to study the phenotype of rice from Heilongjiang, Jilin, and Liaoning provinces.…”

Section: Introductionmentioning

confidence: 99%

Fingerprinting of Volatile Organic Compounds for the Geographical Discrimination of Rice Samples from Northeast China

Asimi

Ren

Zhang

et al. 2022

Foods

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Rice’s geographic origin and variety play a vital role in commercial rice trade and consumption. However, a method for rapidly discriminating the geographical origins of rice from a different region is still lacking. Therefore, the current study developed a volatile organic compound (VOC) based geographical discrimination method using headspace gas chromatography-mass spectrometry (HS-GC-MS) to discriminate rice samples from Heilongjiang, Jilin, and Liaoning provinces. The rice VOCs in Heilongjiang, Liaoning, and Jilin were analyzed by agglomerative hierarchical clustering (AHC), principal component analysis (PCA), and partial least squares discriminant analysis (PLS-DA). The results show that the optimum parameters for headspace solid phase microextraction (HS-SPME) involved the extraction of 3.0 g of rice at 80 °C within 40 min. A total of 35 VOCs were identified from 30 rice varieties from Northeast China. The PLS-DA model exhibited good discrimination (R2 = 0.992, Q2 = 0.983, and Accuracy = 1.0) for rice samples from Heilongjiang, Liaoning, and Jilin. Moreover, K-nearest neighbors showed good specificity (100%) and accuracy (100%) in identifying the origin of samples. In conclusion, the present study established VOC fingerprinting as a highly efficient approach to identifying rice’s geographical origin. Our findings highlight the ability to discriminate rice from Heilongjiang, Liaoning, and Jilin provinces rapidly.

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Authentication of commercial spices based on the similarities between gas chromatographic fingerprints

Abstract: This method is suitable for screening unknown spices, and can therefore be employed to evaluate the quality and authenticity of various spices. © 2017 Society of Chemical Industry.

Cited by 18 publications

References 31 publications

Mango (Mangifera indica) Aroma Discriminate Cultivars and Ripeness Stages

Mango (Mangifera indica) Aroma Discriminate Cultivars and Ripeness Stages

Preparation of <i>Piper nigrum</i> Microcapsules by Spray Drying and Optimization with Response Surface Methodology

Fingerprinting of Volatile Organic Compounds for the Geographical Discrimination of Rice Samples from Northeast China

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