Genotypic and Phenotypic Diversity of Endemic Golden Camellias Collected from the North of Vietnam.

Golden Camellias have recently been used as a food, cosmetic, and traditional medicine in China and Vietnam. Forty-two species have natural distribution in Vietnam, of which thirty-two species were considered endemic species of this country. The morphology of leaves and flowers of these species were similar; therefore, their taxonomic identification usually needed experts and the authentication has often been confused among species. Our study aims to describe the genetic diversity and the relationship of six species Camellia phanii, Camellia tamdaoensis, Camellia tienii, Camellia flava, Camellia petelotii and Camellia euphlebia by using three chloroplast DNA-barcodes: matK, rbcL and trnH-psbA. We also clarified the significant differences in anatomical characteristics of midvein and blade of their leaves, which suggested the possibility to use these criteria in taxonomy. In addition, preliminary chemical profiles of the methanolic extracts of leaves from six Golden Camellias such as total phenolic content (TPC), total flavonoid content (TFC), total anthocyanin content (TAC) and chlorogenic acids content (TCGAs) also showed the diversity among them. Interestingly, the discrimination on the catechins profile among six species followed the same tendency with the genetic distance on the phylogeny tree suggesting that catechins (i. e., discriminative catechins) can be biomarkers for the chemotaxonomy of these six Golden Camellias.

Development of a specific and sensitive diagnostic PCR for rapid molecular authentication of the medicinal plant Portulaca oleracea.

Adulteration by Bacopa monnieri (BM) in Portulaca oleracea (PO) plants frequently occurs; it decreases the efficacy of traditional Chinese medicine (TCM) and leads to fraud in the herbal marketplace. In this study, a diagnostic PCR assay was established for the rapid authentication of PO and BM in the herbal market. The sequence divergences in internal transcribed spacer 2 (ITS2) between PO and its adulterant species were used to design diagnostic PCR primers. The specific designed primer sets were evaluated and show that the diagnostic PCR assay can be used to verify the authenticity of PO and BM. The detection limits of the primer set for PO and BM identification were 10 pg and 1 pg, respectively. The reactivity of diagnostic PCR was 0.1% PO genomic DNA and 0.01% BM genomic DNA in the test sample during DNA amplification. In addition, multiplex PCR (mPCR) for PO and BM identification was also established. The samples were more susceptible to the effect of steaming in authentication by singleplex PCR and mPCR than boiling and drying treatment. Furthermore, commercial samples from the market were used to demonstrate the applicability of the developed diagnostic PCR for PO authentication and diagnose BM adulteration, and the investigation found that approximately 72.2% (13/18) of PO plants in the herbal market were adulterated. In conclusion, the diagnostic PCR assay was successfully developed and its specificity, sensitivity and reactivity for PO and BM authentication were proven. These developed PCR-based molecular methods can be applied as an identification tool for PO authenticity and can be practically applied for inspection of BM adulteration in the herbal market in the future.

Potential Risks of Plant Constituents in Dietary Supplements: Qualitative and Quantitative Analysis of Peganum harmala Seeds.

The free online trading of herbal mixtures useful for various purposes facilitates the circulation of dangerous herbs or plant parts. This is the case, for example, of the illegal trade in seeds of Peganum harmala (Pgh), which contain alkaloids capable of inhibiting monoamine oxidase (MAO) and are therefore used in hallucinogenic preparations, such as the psychedelic drink ayahuasca. The precise identification of these seeds and their distinction from other very similar but not dangerous seeds are necessary for forensic purposes and represents an advance in avoiding the adulteration of mixtures. In this work, we show the qualitative identification of Pgh seeds by optical and electron microscopy and the parallel development of a real-time qPCR test, which reveals, in a species-specific manner, the presence of Pgh DNA up to quantities lower than 1 pg. In addition to the species specificity and high sensitivity, the reaction accurately quantifies the presence of seeds or parts of seeds of Pgh in complex herbal mixtures, thus giving an indication of the danger or otherwise of the product.

Ancient plant DNA reveals High Arctic greening during the Last Interglacial.

Summer warming is driving a greening trend across the Arctic, with the potential for large-scale amplification of climate change due to vegetation-related feedbacks [Pearson et al., Nat. Clim. Chang. (3), 673-677 (2013)]. Because observational records are sparse and temporally limited, past episodes of Arctic warming can help elucidate the magnitude of vegetation response to temperature change. The Last Interglacial ([LIG], 129,000 to 116,000 y ago) was the most recent episode of Arctic warming on par with predicted 21st century temperature change [Otto-Bliesner et al., Philos. Trans. A Math. Phys. Eng. Sci. (371), 20130097 (2013) and Post et al., SciAdv (5), eaaw9883 (2019)]. However, high-latitude terrestrial records from this period are rare, so LIG vegetation distributions are incompletely known. Pollen-based vegetation reconstructions can be biased by long-distance pollen transport, further obscuring the paleoenvironmental record. Here, we present a LIG vegetation record based on ancient DNA in lake sediment and compare it with fossil pollen. Comprehensive plant community reconstructions through the last and current interglacial (the Holocene) on Baffin Island, Arctic Canada, reveal coherent climate-driven community shifts across both interglacials. Peak LIG warmth featured a ∼400-km northward range shift of dwarf birch, a key woody shrub that is again expanding northward. Greening of the High Arctic-documented here by multiple proxies-likely represented a strong positive feedback on high-latitude LIG warming. Authenticated ancient DNA from this lake sediment also extends the useful preservation window for the technique and highlights the utility of combining traditional and molecular approaches for gleaning paleoenvironmental insights to better anticipate a warmer future.

Selective enrichment of zein gene of maize from cereal products using magnetic support having pyrrolidinyl peptide nucleic acid probe.

Here, we describe DNA enrichment of the zein gene from maize using pyrrolidinyl peptide nucleic acid (PNA) immobilized on a magnetic solid support as a capture element. Magnetite nanoparticles (MNP) with a capacity of 373 pmolPNA/mg and coated with poly(N-acryloylglycine) (PNAG) showed a good response to magnetic field. The PNA probe immobilized on the MNP discriminated between non-complementary and complementary DNA using fluorophore-tagged DNA as a model. We applied this system for the enrichment of the zein gene from maize in eight cereal product samples. After DNA desorption from the MNP, and its amplification via polymerase chain reaction (PCR), gel electrophoresis indicated that only cereal samples containing the zein gene from maize yielded positive results, indicating a high binding specificity between the PNA used and the complementary DNA. This PNA-functionalized MNP is potentially useful as an effective nano-solid support for DNA enrichment from other samples.

High-Resolution Melting Analysis as a Tool for Plant Species Authentication.

High-resolution melting (HRM) analysis is a cost-effective, specific, and rapid tool that allows distinguishing genetically related plants and other organisms based on the detection of small nucleotide variations, which are recognized from melting properties of the double-stranded DNA. It has been widely applied in several areas of research and diagnostics, including botanical authentication of several food commodities and herbal products. Generally, it consists of the main steps: (1) in silico sequence analysis and primer design; (2) DNA extraction from plant material; (3) amplification by real-time PCR with an enhanced fluorescent dye targeting a specific DNA barcode or other regions of taxonomic interest (100-200 bp); (4) melting curve analysis; and (5) statistical data analysis using a specific HRM software. This chapter presents an overview of HRM analysis and application, followed by the detailed description of all the required reagents, instruments, and protocols for the successful and easy implementation of a HRM method to differentiate closely related plant species.

DNA metabarcoding to unravel plant species composition in selected herbal medicines on the National List of Essential Medicines (NLEM) of Thailand.

Traditional medicines are widely traded across the globe and have received considerable attention in the recent past, with expectations of heightened demand in the future. However, there are increasing global concerns over admixture, which can affect the quality, safety, and efficacy of herbal medicinal products. In this study, we aimed to use DNA metabarcoding to identify 39 Thai herbal products on the Thai National List of Essential Medicines (NLEM) and assess species composition and admixture. Among the products, 24 samples were in-house-prepared formulations, and 15 samples were registered formulations. In our study, DNA metabarcoding analysis using ITS2 and rbcL barcode regions were employed to identify herbal ingredients mentioned in the products. The nuclear region, ITS2, was able to identify herbal ingredients in the products at the genus- and family-levels in 55% and 63% of cases, respectively. The chloroplast gene, rbcL, enabled genus- and family-level identifications in 58% and 73% of cases, respectively. In addition, plant species were detected in larger numbers (Family identified, absolute %) in registered herbal products than in in-house-prepared formulations. The level of fidelity increases concerns about the reliability of the products. This study highlights that DNA metabarcoding is a useful analytical tool when combined with advanced chemical techniques for the identification of plant species in highly processed, multi-ingredient herbal products.

A Comparative Study of Some Procedures for Isolation of Fruit DNA of Sufficient Quality for PCR-Based Assays.

Food fraud has been and still is a problem in the food industry. It is detectable by several approaches, such as high performance liquid chromatography (HPLC), chemometric assays, or DNA-based techniques, each with its own drawbacks. This work addresses one major drawback of DNA-based methods, in particular their sensitivity to inhibitors contained in particular matrices from which DNA is isolated. We tested five commercial kits and one in-house method characterized by different ways of sample homogenization and DNA capture and purification. Using these methods, DNA was isolated from 10 different fruit species commonly used in plant-based foodstuffs. The quality of the DNA was evaluated by UV-VIS spectrophotometry. Two types of qPCR assays were used for DNA quality testing: (i) Method specific for plant ITS2 region, (ii) methods specific for individual fruit species. Based mainly on the results of real-time PCR assays, we were able to find two column-based kits and one magnetic carrier-based kit, which consistently provided fruit DNA isolates of sufficient quality for PCR-based assays useful for routine analysis and identification of individual fruit species in food products.

Determination of Self- and Inter-(in)compatibility Relationships in Apricot Combining Hand-Pollination, Microscopy and Genetic Analyses.

Self-incompatibility in Rosaceae is determined by a Gametophytic Self-Incompatibility System (GSI) that is mainly controlled by the multiallelic locus S. In apricot, the determination of self- and inter-(in)compatibility relationships is increasingly important, since the release of an important number of new cultivars has resulted in the increase of cultivars with unknown pollination requirements. Here, we describe a methodology that combines the determination of self-(in)compatibility by hand-pollinations and microscopy with the identification of the S-genotype by PCR analysis. For self-(in)compatibility determination, flowers at balloon stage from each cultivar were collected in the field, hand-pollinated in the laboratory, fixed, and stained with aniline blue for the observation of pollen tube behavior under the fluorescence microscopy. For the establishment of incompatibility relationships between cultivars, DNA from each cultivar was extracted from young leaves and S-alleles were identified by PCR. This approach allows establishing incompatibility groups and elucidate incompatibility relationships between cultivars, which provides a valuable information to choose suitable pollinizers in the design of new orchards and to select appropriate parents in breeding programs.

Development and validation of a probe-based qPCR method to prevent parsley leaf material misidentification.

Parsley (Petroselinum crispum) leaf is an herb widely consumed for its health benefits. Due to similar morphological and chemical profiles, celery leaf may be a source of substitution in commercial parsley materials. In order to detect this substitution, the present work characterized parsley and celery leaf at the cultivar level by physical, chemical and DNA approaches. In contrast to the variations observed in physical appearances and chemical profiles that make verification of authenticity difficult, consistent differences observed between their DNA sequences are suitable for verifying parsley material authenticity. To identify parsley and detect celery simultaneously, a multiplex qPCR assay was developed and validated with respect to efficiency and specificity. Further testing indicated the assay can be used to detect 1% (w/w) celery in parsley materials with a probability of detection greater than 0.9. The developed method is well-suited for routine quality control to prevent parsley material misidentification in commercial trade.

A barcode-DNA analysis method for the identification of plant oil adulteration in milk and dairy products.

In the present work, a barcode-DNA analysis method is described for the detection of plant oil adulteration in milk and dairy products. The method relies on the fact that plant DNA should not be present in readily detectable amounts in a dairy product unless it contains undeclared plant material. Thus, a universal plant barcode is chosen as the target to be amplified from dairy samples. Accordingly, barcode PCR-CE (PCR-capillary electrophoresis) assays are described, which do not require preliminary information on the species source of the adulterant oil type. Two PCR-CE assays, one operating on the plastid trnL (UAA) intron and the other targeting its inner P6 loop in nested format, were shown to detect corn, soybean, rapeseed and sunflower oils in clarified butter, milk and yogurt. Both barcodes are robustly amplified with extremely conserved primers. While the intron provides the species discrimination ability, the P6 loop provides superior detection sensitivity.

High Resolution Melting (HRM) Genotyping in the Genus Origanum: Molecular Identification and Discrimination for Authentication Purposes.

Origanum L. (Lamiaceae) is an important genus of medicinal and aromatic plants used since ancient times as culinary herbs and remedies in traditional medicine. Although it is a relatively small genus, intra-generic species delineation, as well as its inter-generic relationships within tribe Mentheae, are still poorly understood. High resolution melting (HRM) analysis, coupled with microsatellite markers (SSRs), could facilitate the molecular identification and characterization of certain genotypes more efficiently and relatively faster when compared to other analytical methods. In this study, 38 Origanum samples corresponding to six Origanum taxa (O. dictamnus, O. majorana, O. onites, O. scabrum, O. sipyleum, and O. vulgare subsp. hirtum) were analyzed, using six microsatellite loci. Our goal was to molecularly identify and discriminate among the selected samples and to evaluate the ability of the HRM technique as an analytical tool for the discrimination of Origanum species from Greece. The temperature-shifted melting curves produced by the HRM analysis, resulted in 98 unique HRM profiles, which enabled the discrimination of the Origanum genotypes studied. According to the similarity dendrogram based on the HRM profiles, six unique clusters were formed, each one corresponding to a single taxon. In conclusion, HRM genotyping provided a fast, cost-effective method, well suited for the molecular characterization and identification of Origanum taxa and for the authentication of the original genetic material.

Combined Liquid Chromatography-mass Spectrometry and Next-generation DNA Sequencing Detection of Adulterants and Contaminants in Analgesic and Anti-inflammatory Herbal Medicines.

INTRODUCTION: Methods for assessing the quality of herbal medicine preparations have advanced significantly in recent years in conjunction with increases in herbal medicine use and reports of adulteration and contamination. OBJECTIVE: This study examined the quality of analgesic and anti-inflammatory herbal medicine preparations available on the Australian market by detecting the presence of listed ingredients, adulterants and contaminants. METHODS: Forty-nine analgesic and anti-inflammatory herbal medicine preparations were randomly sourced from Australian capital cities. They were audited using a dual approach of liquid chromatography-mass spectrometry (LC-MS) combined with next-generation DNA sequencing. Once screened, a comparison of listed ingredients with verified ingredients was conducted to determine the accuracy of labelling, and the extent of adulteration and contamination. RESULTS: Twenty-six of 49 (53%) herbal medicines were adulterated or contaminated with undeclared ingredients. LC-MS revealed the presence of pharmaceutical adulterants including atropine and ephedrine. DNA sequencing uncovered concerning levels of herbal substitution, adulteration and contamination, including the use of fillers (alfalfa, wheat and soy), as well as pharmacologically relevant species (Centella asiatica, Panax ginseng, Bupleurum and Passiflora). Pig/boar and bird DNA was found in some preparations, inferring substandard manufacturing practices. Of the 26 contaminated samples, 19 (73%) were manufactured in Australia, and 7 (27%) were imported from other countries (6 from China, 1 from New Zealand). In 23 of 49 (47%) herbal medicine samples, no biological ingredients were detected at all. These were predominantly pain and anti-inflammatory preparations such as glucosamine and eicosapentaenoic and docosahexaenoic acids found in krill and fish oils, so DNA would not be expected to survive the manufacturing process. CONCLUSION: The high level of contamination and substitution of herbal medicine preparations sourced from Australian dispensaries supports the need for more stringent pharmacovigilance measures in Australia and abroad.

Detección de patógenos asociados a la enfermedad punta morada en los cultivos de papa y tomate en Guatemala / Detection of pathogens associated to potato purple top disease in potato and tomato crops in Guatemala

La punta morada es una enfermedad que afecta la producción de algunas especies de solanáceas como la papa y el tomate, causando enrollamiento en las puntas de las hojas con una marcada coloración morada, decaimiento temprano de la planta y en la papa se observa tuberización aérea. Como patógenos asociados a la enfermedad se consideran al fitoplasma BLTVA y la bacteria Candidatus Liberibacter solanacearum. Dada la similitud en la sin-tomatología foliar que generan ambos patógenos, es difícil precisar cuál de ellos está implicado en la enfermedad. En Guatemala, existen reportes de la sintomatología típica de punta morada en las principales zonas productoras de papa y tomate, desconociéndose el agente asociado. La investigación determinó cuál de los dos patógenos reportados está asociados a la enfermedad en 12 municipios productores de papa y/o tomate en el país. Se realizaron ampli-ficaciones de ADN con cebadores específicos para cada patógeno asociado a la enfermedad. Por la alta incidencia del fitoplasma BLTVA en las muestras de papa (73.9%), en comparación a C. Liberibacter solanacearum (26%), este es considerado como el patógeno asociado más importante en papa. En las muestras de tomate, la incidencia del fitoplasma BLTVA (29.8%) y C. Liberibacter solanacearum del (27.6%) fue similar. Además, sobresale el primer reporte de la detección del fitoplasma BLTVA afectando el cultivo de tomate en Guatemala. Se sugiere un monitoreo constante, mediante métodos moleculares, para un diagnóstico certero y establecer medidas de manejo de la enfermedad para evitar su diseminación hacia zonas aún no afectadas.

The potato purple top is a disease that affects the production of some solanaceous species such as potatoes and tomatoes, causing curl at the tips of the leaves with a marked purple coloration, early decay of the plant, and aerial tuberization is observed in the potato. BLTVA phytoplasma and Candidatus Liberibacter solanacearum are considered as pathogens associated with the disease. Given the similarity in foliar symptoms generated by both pathogens, it is difficult to determine which one is involved in the disease. There are reports of the typical potato purple top symptoms in the main potato and tomato producing areas in Guatemala, being unknown the associated agent. The research determined which of the two reported pathogens is associated with the disease in 12 potatoes and/or tomato producing areas in the country. We performed DNA amplification with specific primers for each disease-associated pathogen. Due to the high incidence of BLTVA phytoplasma in potato samples (73.9%), com-pared to C. liberibacter solanacearum (26%), this is considered the most important associated pathogen in potatoes. In tomato samples, the incidence of BLTVA phytoplasma (29.8%) and C. liberibacter solanacearum (27.6%) was similar. Besides, the first report of the detection of the BLTVA phytoplasma affecting tomato cultivation in Gua-temala stands out. Using molecular methods, constant monitoring is suggested for an accurate diagnosis and to establish management measures for the disease to prevent its spread to areas not yet affected.

Investigating appropriate molecular and chemical methods for ingredient identity testing of plant-based protein powder dietary supplements.

Plant-based protein powders are rapidly growing in popularity, and outdated quality assurance tools expose vulnerabilities to adulteration via different methods of "protein spiking". Adequate diagnostic tools are urgently needed to be able to authenticate protein source ingredients and screen for potential adulterants. We explored the application of three diagnostic tools for ingredient identification: targeted PCR with Sanger sequencing, NGS, and LC-MS/MS. We collected 33 samples of common commercial products from the plant-based protein powder market and sought to identify botanical components using the three technologies. We found success in detection with all approaches, with at least one main protein source being identified by at least one approach in all samples. The investigation uncovered challenges to data collection or result interpretation with each technology including but not limited to amplification biases with PCR technologies, potential influence of DNA degradation, and issues with protein solubility during isolation. Ultimately, each platform demonstrated utility along with certain caveats, which epitomized the importance of orthogonality of testing.

DNA Quality and Quantity Analysis of Camellia sinensis Through Processing from Fresh Leaves to a Green Tea Extract.

Background: Although there has been some success using DNA barcoding to authenticate raw natural health product (NHP) botanical ingredients, there are many gaps in our understanding of DNA degradation, which may explain low PCR and sequencing success in processed NHPs. Objective: In this study, we measured multiple DNA variables after each step in the processing of a green tea extract in order to document DNA quality and quantity. Methods: We sampled plant material after each step of green tea extract processing: five steps at a Chinese tea farm (n = 10) and five at an NHP processing facility (n = 3). We hypothesized that processing treatments degrade and remove DNA from NHPs, reflected by decreasing quantities of extractable genomic DNA (gDNA), an increasing proportion of small DNA fragments in genomic extracts, and decreasing quantitative PCR (QPCR) efficiency [higher cycle threshold (Ct) values]. DNA from end-production green tea extract was sequenced in order to try to validate material as the botanical of interest. Results: We saw a 41.1% decrease in mean extractable gDNA through farm processing (P < 0.01) and a 99.7% decrease through facility processing (P < 0.05). There was a 26.3% decrease in mean DNA fragment size through farm processing (P < 0.001) and an 82.0% decrease through facility processing (P < 0.05). QPCR efficiency was reduced through processing, marked by significant increases in Ct values with 100 base pair (bp) and 200 bp PCR targets (P < 0.05), and an inability to amplify 300 bp targets when using DNA template from end-production green tea extract. Conclusions: Although there was significant degradation and removal of DNA through processing, sufficiently intact DNA was able to be recovered from highly processed green tea extract for further sequencing and identification. Highlights: This work addresses a key gap in the understanding of DNA degradation through processing and provides useful information to consider when designing molecular diagnostic techniques for NHP identification.

Full-Length Multi-Barcoding: DNA Barcoding from Single Ingredient to Complex Mixtures.

DNA barcoding has been used for decades, although it has mostly been applied to somesingle-species. Traditional Chinese medicine (TCM), which is mainly used in the form ofcombination-one type of the multi-species, identification is crucial for clinical usage.Next-generation Sequencing (NGS) has been used to address this authentication issue for the pastfew years, but conventional NGS technology is hampered in application due to its short sequencingreads and systematic errors. Here, a novel method, Full-length multi-barcoding (FLMB) vialong-read sequencing, is employed for the identification of biological compositions in herbalcompound formulas in adequate and well controlled studies. By directly sequencing the full-lengthamplicons of ITS2 and psbA-trnH through single-molecule real-time (SMRT) technology, thebiological composition of a classical prescription Sheng-Mai-San (SMS) was analyzed. At the sametime, clone-dependent Sanger sequencing was carried out as a parallel control. Further, anotherformula-Sanwei-Jili-San (SJS)-was analyzed with genes of ITS2 and CO1. All the ingredients inthe samples of SMS and SJS were successfully authenticated at the species level, and 11 exogenousspecies were also checked, some of which were considered as common contaminations in theseproducts. Methodology analysis demonstrated that this method was sensitive, accurate andreliable. FLMB, a superior but feasible approach for the identification of biological complexmixture, was established and elucidated, which shows perfect interpretation for DNA barcodingthat could lead its application in multi-species mixtures.

Improved Protocols of ITS1-Based Metabarcoding and Their Application in the Analysis of Plant-Containing Products.

Plants are widely used for food and beverage preparation, most often in the form of complex mixtures of dried and ground parts, such as teas, spices or herbal medicines. Quality control of such products is important due to the potential health risks from the presence of unlabelled components or absence of claimed ones. A promising approach to analyse such products is DNA metabarcoding due to its high resolution and sensitivity. However, this method's application in food analysis requires several methodology optimizations in DNA extraction, amplification and library preparation. In this study, we present such optimizations. The most important methodological outcomes are the following: 1) the DNA extraction method greatly influences amplification success; 2) the main problem for the application of metabarcoding is DNA purity, not integrity or quantity; and 3) the "non-amplifiable" samples can be amplified with polymerases resistant to inhibitors. Using this optimized workflow, we analysed a broad set of plant products (teas, spices and herbal remedies) using two NGS platforms. The analysis revealed the problem of both the presence of extraneous components and the absence of labelled ones. Notably, for teas, no correlation was found between the price and either the absence of labelled components or presence of unlabelled ones; for spices, a negative correlation was found between the price and presence of unlabelled components.

Coffea arabica and C. canephora discrimination in roasted and ground coffee from reference material candidates by real-time PCR.

To produce specific desirable coffee blends, Coffea arabica and C. canephora are mixed each other, in some cases to suit consumer preference, but in others to reduce production costs. In this scenario, the aim of this work was to evaluate standard candidate reference materials (RMc) for analysis of different blends of roasted and ground coffee. For this purpose, we analyzed different percentages of C. arabica and C. canephora (100:0; 50:50; 25:75; and 0:100, respectively). These RMc samples were developed in a previous study with green coffee beans submitted to medium roasting. In this work, coffee species differentiation (C. arabica and C. canephora) was analyzed by real-time PCR, using specific primers previously developed, called ARA primers. The RMc material with 100% C. canephora did not present amplification, in contrast with the samples containing C. arabica, which all presented amplification. These results indicate the specificity of ARA primers for C. arabica and that the detection system assay can be used as a promising molecular tool to identify and quantify percentages of C. arabica in different coffee blends.

Novel amperometric genosensor based on peptide nucleic acid (PNA) probes immobilized on carbon nanotubes-screen printed electrodes for the determination of trace levels of non-amplified DNA in genetically modified (GM) soy.

A novel amperometric genosensor based on PNA probes covalently bound on the surface of Single Walled Carbon Nanotubes - Screen Printed Electrodes (SWCNT-SPEs) was developed and validated in samples of non-amplified genomic DNA extracted from genetically modified (GM)-Soy. The sandwich assay is based on a first recognition of a 20-mer portion of the target DNA by a complementary PNA Capture Probe (CP) and a second hybridization with a PNA Signalling Probe (SP), with a complementary sequence to a different portion of the target DNA. The SP was labelled with biotin to measure current signal by means of a final incubation of an Alkaline Phosphatase-streptavidin conjugate (ALP-Strp). The electrochemical detection was carried out using hydroquinone diphosphate (HQDP) as enzymatic substrate. The genoassay provided a linear range from 250 pM to 2.5 nM, LOD of 64 pM and LOQ of 215 pM Excellent selectivity towards one base mismatch (1-MM) or scrambled (SCR) sequences was obtained. A simple protocol for extraction and analysis of non-amplified soybean genomic DNA without sample treatment was developed and validated. Our study provides insight into how the outstanding recognition efficiency of PNAs can be combined with the unique properties of CNTs in terms of signal response enhancement for direct detection of genomic DNA samples at the level of interest without previous amplification.