Detection of honey adulteration by conventional and real-time PCR

Sobrino-Gregorio, Lara; Vilanova, Santiago; Prohens, Jaime; Escriche, Isabel

doi:10.1016/j.foodcont.2018.07.037

Cited by 43 publications

(20 citation statements)

References 34 publications

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“…NMR is also accurate, but it is time consuming and uses expensive equipment. Recently, a real-time polymerase chain reaction (PCR) procedure was used to detect Spanish honey adulteration [ 23 ]. It was concluded that real-time PCR could detect adulteration of honey with rice molasses at very low levels of adulteration.…”

Section: Introductionmentioning

confidence: 99%

The Use of UV Spectroscopy and SIMCA for the Authentication of Indonesian Honeys According to Botanical, Entomological and Geographical Origins

Suhandy

Yulia

2021

Molecules

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As a functional food, honey is a food product that is exposed to the risk of food fraud. To mitigate this, the establishment of an authentication system for honey is very important in order to protect both producers and consumers from possible economic losses. This research presents a simple analytical method for the authentication and classification of Indonesian honeys according to their botanical, entomological, and geographical origins using ultraviolet (UV) spectroscopy and SIMCA (soft independent modeling of class analogy). The spectral data of a total of 1040 samples, representing six types of Indonesian honey of different botanical, entomological, and geographical origins, were acquired using a benchtop UV-visible spectrometer (190–400 nm). Three different pre-processing algorithms were simultaneously evaluated; namely an 11-point moving average smoothing, mean normalization, and Savitzky–Golay first derivative with 11 points and second-order polynomial fitting (ordo 2), in order to improve the original spectral data. Chemometrics methods, including exploratory analysis of PCA and SIMCA classification method, was used to classify the honey samples. A clear separation of the six different Indonesian honeys, based on botanical, entomological, and geographical origins, was obtained using PCA calculated from pre-processed spectra from 250–400 nm. The SIMCA classification method provided satisfactory results in classifying honey samples according to their botanical, entomological, and geographical origins and achieved 100% accuracy, sensitivity, and specificity. Several wavelengths were identified (266, 270, 280, 290, 300, 335, and 360 nm) as the most sensitive for discriminating between the different Indonesian honey samples.

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Section: Introductionmentioning

confidence: 99%

The Use of UV Spectroscopy and SIMCA for the Authentication of Indonesian Honeys According to Botanical, Entomological and Geographical Origins

Suhandy

Yulia

2021

Molecules

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“…Although some methods, such as gas chromatography–mass spectrometry fingerprint (Chen et al 2016), fourier transform infrared spectroscopy (Chen et al 2015), capillary electrophoresis (Zha et al 2009) have been applied for the authentication of Dendrobium species, they are complicated needing professional operators, cost- and time-consuming, and hard to distinguish the commercial samples that share similar textures, chemical and microscopic characteristics after processing and preparation as decoction pieces. In recent decades, molecular techniques, such as DNA barcoding (Wilson et al 2019) and real-time PCR (Sobrino-Gregorio et al 2019) have been used to differentiate many closely related species with significant advantages in the fields of taxonomy, phylogeny, evolution and breeding (Teixeira da Silva et al 2016), especially for the morphological analogues or complexes including Dendrobium species. Currently, nuclear sequences [including internal transcribed spacer (ITS), intergenic spacer (IGS)] and plastid genes ( matK , rbcL , psbA - trnH , trnL intron , etc.)…”

Section: Introductionmentioning

confidence: 99%

Molecular authentication and differentiation of Dendrobium species by rDNA ITS region sequence analysis

Fang

Tingmo

et al. 2019

AMB Expr

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Owing to their significant medicinal and edible values, the natural Dendrobium species have underdone over-collection and habitat destruction, and cultivated species emerged for candidates. However, these Dendrobium plants are similar in shape to be easily confused, leading to extreme difficulties for identification based on their morphological and chemical features. In this study, the rDNA ITS region sequence analysis was developed for rapid and accurate identification of thirteen wild and cultivated Dendrobium species belonging to two sections Formosae and Chrysotoxae . By cloning and sequencing the rDNA ITS region genes from 13 Dendrobium species, the phylogenetic relationships among them were analyzed. Results showed that the variation of the ITS region, together with the lengths and Guanine and Cytosine contents of ITS, 5.8s rDNA, ITS1 and ITS2 sequences occurred in the tested Dendrobium species, and which from section Chrysotoxae was higher than that from section Formsae . Phylogenetic analysis based on neighbor-joining and maximum p-arsimony trees indicated that the Dendrobium species of sections Formosae and Chrysotoxae could be well divided into two groups. A majority of Dendrobium species exhibited distinctive ITS2 secondary structures, while for those with close genetic relationships were similar. Therefore, the ITS2 region sequence analysis is simple, quick, and highly reliable that can be used as an effective tool for molecular identification and classification, as well as the reconstruction of the phylogeny of wild and cultivated Dendrobium species belonging to different sections.

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“…NMR secara luas digunakan untuk uji keaslian madu atas dasar botani dan asal geografis (Kuballa et al 2018).Teknik molekuler, seperti PCR (polymerase chain reaction), digunakan untuk uji keaslian madu jeruk (Citrus spp.) yang dioplos dengan pemanis dari molase beras (Sobrino-Gregorio et al 2019). Metode PCR juga telah digunakan untuk membedakan antara madu Apis cerana dan madu Apis mellifera (Soares et al 2018).…”

Section: Pendahuluanunclassified

Klasifikasi Madu Berdasarkan Jenis Lebah (Apis dorsata versus Apis mellifera) Menggunakan Spektroskopi Ultraviolet dan Kemometrika

Suhandy

Yulia

Kusumiyati

2020

J. Ilmu. Pertan. Indones.

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In this research, spectral data in UV region (200-400 nm) alongside PCA and SIMCA chemometrics were used to classify two types of honey obtained from different honeybees (Apis dorsata versus Apis mellifera). A total of 200 Durian monofloral honey samples from Apis dorsata and 120 samples for Longan monofloral honey from Apis mellifera were prepared. Therefore, spectral data were recorded based on the following parameters: range of acquisition 200-400 nm, transmittance mode, and interval 1 nm. In addition, the original spectra were transformed using three different algorithms: moving average smoothing with 11 segments, standard normal variate (SNV), and Savitzky-Golay 1st derivative with 11 segments and 2 ordos. The result of PCA using transformed spectra in the range of 250-400 nm explained the possibility of clearly separating Durian and Longan honey along the PC1 axis, with 98% variance, while the SIMCA showed a 100% proper classification rate for all prediction samples. In addition, several important wavelengths were identified alongside high x-loadings values at 270 and 300 nm. These results were closely related to the absorbance of important phenolic compounds in honey, including benzoic, salicylic, and aryl-alyphatic acids. The results demonstrate a probability to establish simple and low-cost honey authentication systems, using UV spectroscopy and chemometrics on free-chemical in sample preparations. Keywords: authentication, Apis dorsata, Apis mellifera, SIMCA, UV spectroscopy

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Detection of honey adulteration by conventional and real-time PCR

Cited by 43 publications

References 34 publications

The Use of UV Spectroscopy and SIMCA for the Authentication of Indonesian Honeys According to Botanical, Entomological and Geographical Origins

The Use of UV Spectroscopy and SIMCA for the Authentication of Indonesian Honeys According to Botanical, Entomological and Geographical Origins

Molecular authentication and differentiation of Dendrobium species by rDNA ITS region sequence analysis

Klasifikasi Madu Berdasarkan Jenis Lebah (Apis dorsata versus Apis mellifera) Menggunakan Spektroskopi Ultraviolet dan Kemometrika

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