Asit Ray

Bio: Asit Ray is an academic researcher from Siksha O Anusandhan University. The author has contributed to research in topics: Essential oil & Chemistry. The author has an hindex of 10, co-authored 45 publications receiving 355 citations. Previous affiliations of Asit Ray include Indian Council of Medical Research.

High-frequency clonal propagation of Curcuma angustifolia ensuring genetic fidelity of micropropagated plants

Abstract: A high-frequency clonal propagation protocol was developed for Curcuma angustifolia Roxb., a high valued traditional medicinal plant. Axillary bud explants of C. angustifolia were explanted on Murashige and Skoog (MS) medium fortified with 4.4–22.2 µM 6-benzyladenine (BA), 2.9–5.7 µM indole-3-acetic acid (IAA), 2.3–23.2 µM kinetin (Kin), 2.7–5.4 µM naphthalene acetic acid (NAA) and 67.8-271.5 µM adenine sulphate (Ads) in different combinations. The maximum number of shoots per explants (14.1 ± 0.55) and roots per shoot (7.6 ± 0.47) was achieved on media containing 13.3 µM BA, 5.7 µM IAA and 135.7 µM Ads. Stability in phytomedicinal yield potential of micropropagated plants was assessed through GC–MS and HPTLC. Gas chromatogram of essential oil of conventional and micropropagated plants of C. angustifolia had similar essential oil profile. HPTLC analysis of rhizome extracts of in vitro and field grown plants revealed no significant differences in the fingerprint pattern and in curcumin content. Genetic integrity of in vitro and field grown derived plants were evaluated with inter-simple sequence repeat (ISSR) primers and flow cytometry using Glycine max as an internal standard. A total of 1260 well resolved bands were generated by 12 ISSR primers showing monomorphic banding patterns across all plants analyzed. The mean 2C DNA content of conventionally and micropropagated plant was estimated to be 2.26 pg and 2.31 pg, respectively. As no somaclonal variations were detected in tissue culture plantlets, the present micropropagation protocol could be applied for in vitro conservation and large-scale production of C. angustifolia.

Recent advances in graphene-based biosensor technology with applications in life sciences

Abstract: Graphene’s unique physical structure, as well as its chemical and electrical properties, make it ideal for use in sensor technologies. In the past years, novel sensing platforms have been proposed with pristine and modified graphene with nanoparticles and polymers. Several of these platforms were used to immobilize biomolecules, such as antibodies, DNA, and enzymes to create highly sensitive and selective biosensors. Strategies to attach these biomolecules onto the surface of graphene have been employed based on its chemical composition. These methods include covalent bonding, such as the coupling of the biomolecules via the 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride and N-hydroxysuccinimide reactions, and physisorption. In the literature, several detection methods are employed; however, the most common is electrochemical. The main reason for researchers to use this detection approach is because this method is simple, rapid and presents good sensitivity. These biosensors can be particularly useful in life sciences and medicine since in clinical practice, biosensors with high sensitivity and specificity can significantly enhance patient care, early diagnosis of diseases and pathogen detection. In this review, we will present the research conducted with antibodies, DNA molecules and, enzymes to develop biosensors that use graphene and its derivatives as scaffolds to produce effective biosensors able to detect and identify a variety of diseases, pathogens, and biomolecules linked to diseases.

Important Flavonoids and Their Role as a Therapeutic Agent.

Abstract: Flavonoids are phytochemical compounds present in many plants, fruits, vegetables, and leaves, with potential applications in medicinal chemistry. Flavonoids possess a number of medicinal benefits, including anticancer, antioxidant, anti-inflammatory, and antiviral properties. They also have neuroprotective and cardio-protective effects. These biological activities depend upon the type of flavonoid, its (possible) mode of action, and its bioavailability. These cost-effective medicinal components have significant biological activities, and their effectiveness has been proved for a variety of diseases. The most recent work is focused on their isolation, synthesis of their analogs, and their effects on human health using a variety of techniques and animal models. Thousands of flavonoids have been successfully isolated, and this number increases steadily. We have therefore made an effort to summarize the isolated flavonoids with useful activities in order to gain a better understanding of their effects on human health.

Chemical Composition and Biological Activities of Essential Oils of Curcuma Species.

Abstract: Members of the genus Curcuma L. have been used in traditional medicine for centuries for treating gastrointestinal disorders, pain, inflammatory conditions, wounds, and for cancer prevention and antiaging, among others. Many of the biological activities of Curcuma species can be attributed to nonvolatile curcuminoids, but these plants also produce volatile chemicals. Essential oils, in general, have shown numerous beneficial effects for health maintenance and treatment of diseases. Essential oils from Curcuma spp., particularly C. longa, have demonstrated various health-related biological activities and several essential oil companies have recently marketed Curcuma oils. This review summarizes the volatile components of various Curcuma species, the biological activities of Curcuma essential oils, and potential safety concerns of Curcuma essential oils and their components.

Non-invasive plant disease diagnostics enabled by smartphone-based fingerprinting of leaf volatiles.

Abstract: Plant pathogen detection conventionally relies on molecular technology that is complicated, time-consuming and constrained to centralized laboratories. We developed a cost-effective smartphone-based volatile organic compound (VOC) fingerprinting platform that allows non-invasive diagnosis of late blight caused by Phytophthora infestans by monitoring characteristic leaf volatile emissions in the field. This handheld device integrates a disposable colourimetric sensor array consisting of plasmonic nanocolorants and chemo-responsive organic dyes to detect key plant volatiles at the ppm level within 1 min of reaction. We demonstrate the multiplexed detection and classification of ten individual plant volatiles with this field-portable VOC-sensing platform, which allows for early detection of tomato late blight 2 d after inoculation, and differentiation from other pathogens of tomato that lead to similar symptoms on tomato foliage. Furthermore, we demonstrate a detection accuracy of ≥95% in diagnosis of P. infestans in both laboratory-inoculated and field-collected tomato leaves in blind pilot tests. Finally, the sensor platform has been beta-tested for detection of P. infestans in symptomless tomato plants in the greenhouse setting. A simple, cheap and portable smartphone-based sensor is used to detect the presence of ten different volatiles emitted during tomato infection by an oomycete.

Plant Pest Detection Using an Artificial Nose System: A Review

Abstract: This paper reviews artificial intelligent noses (or electronic noses) as a fast and noninvasive approach for the diagnosis of insects and diseases that attack vegetables and fruit trees. The particular focus is on bacterial, fungal, and viral infections, and insect damage. Volatile organic compounds (VOCs) emitted from plants, which provide functional information about the plant’s growth, defense, and health status, allow for the possibility of using noninvasive detection to monitor plants status. Electronic noses are comprised of a sensor array, signal conditioning circuit, and pattern recognition algorithms. Compared with traditional gas chromatography–mass spectrometry (GC-MS) techniques, electronic noses are noninvasive and can be a rapid, cost-effective option for several applications. However, using electronic noses for plant pest diagnosis is still in its early stages, and there are challenges regarding sensor performance, sampling and detection in open areas, and scaling up measurements. This review paper introduces each element of electronic nose systems, especially commonly used sensors and pattern recognition methods, along with their advantages and limitations. It includes a comprehensive comparison and summary of applications, possible challenges, and potential improvements of electronic nose systems for different plant pest diagnoses.