Publications by authors named "Rahul Joshi"

Pesticide residue analysis of agricultural produce is vital because of associated health concerns, highlighting the need for effective non-destructive techniques. This study introduces a method that combines short-wavelength infrared hyperspectral imaging with spectral unmixing to detect chlorfenapyr and azoxystrobin residues on perilla leaves. Sixty-six leaves were treated with pesticides at concentrations between 0 and 0.

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In this study, the green synthesis of copper oxide nanoparticles (CuO NPs) mediated by Azadirachta indica is reported, along with an evaluation of their antifungal activity against post-harvest anthracnose and their effects on the storage behaviour (shelf life) and physico-chemical properties of 'Kesar' mangoes, particularly those associated with the ripening process. The CuO NPs were initially synthesized using neem leaf extract and characterized through UV- Visible spectroscopy, SEM, EDX, HR-TEM, FT-IR, XRD, XPS, DLS and zeta potential. Characterization confirmed their monoclinic crystalline structure, spherical morphology, high purity, and stability, with a mean size of 50.

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In this work, environmentally friendly fluorescent carbon dots (C-dots) were developed for the purpose of thiram identification in the leaves of perilla plants. Powdered plant petals from were hydrothermally combined to create C-dots. Analytical techniques, such as scanning electron microscopy, energy dispersive X-ray spectroscopy, high resolution transmission electron microscopy, Raman spectroscopy, ultraviolet spectroscopy, Fourier transmission infrared spectroscopy, and photoluminescence were employed to examine the properties of C-dots.

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We present a catalogue of 104 valid species in 20 genera and two subfamilies i.e., Euteliinae and Stictopterinae of Indian Euteliidae, which represent 19.

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The present catalogue comprises 144 species in 54 genera and 11 families of Yponomeutoidea found in India which represents 7.6 % of the total 1,884 species. Among the 11 families present in India, Yponomeutidae is most speciose (32 species in 14 genera), followed by Lyonetiidae (28 species in four genera), Glyphipterigidae (25 species in four genera), Plutellidae (14 species in nine genera), Heliodinidae (eight species in six genera), Ypsolophidae (six species in two genera), Attevidae (five species in single genus), Argyresthiidae (five species in single genus), Praydidae (five species in single genus) and Bedelliidae (four species in single genus).

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Indian bay leaf is a crucial spice in Indian cuisine. However, its quality and authenticity are often compromised. To address this, we introduce The Digital Indian Bay leaf dataset, a comprehensive collection of high-resolution 5696 images capturing diverse bay leaf samples under controlled conditions.

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A gold nanogap substrate was used to measure the thiram and carbaryl residues in various fruit juices using surface-enhanced Raman scattering (SERS). The gold nanogap substrates can detect carbaryl and thiram with limits of detection of 0.13 ppb (0.

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Dryingfish is a simple and economical way to process the catch. It creates a profitable business for coastal communities by providing a market for their catches, even during periods of abundance. It's a traditional method to preserve fish, especially valuable in regions where fresh fish isn't readily available or affordable throughout the year.

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Article Synopsis
  • Most global mangrove restoration efforts focus on mono-species plantations, often lacking ecological principles, which leads to a low success rate in these initiatives.
  • Researchers tested an innovative restoration framework for degraded mangrove ecosystems in the Indian Sundarbans, incorporating site-specific strategies and comparing them to conventional methods.
  • This study used advanced statistical analyses to evaluate the success of restoration efforts, demonstrating that a diverse ecological approach has a higher potential for restoring functions and sustainability compared to single-species practices.
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This study reported an application of Au nanogap substrates for surface-enhanced Raman scattering (SERS) measurements to quantitatively analyze melamine and its derivative products at trace levels in pet liquid food (milk) combined with a waveband selection approach, namely variable importance in projection (VIP). Six different concentrations of melamine, cyanuric acid, and melamine combined with cyanuric acid were created, and SERS spectra were acquired from 550 to 1620cm. Detection was possible up to 200 pM for melamine-contaminated samples, and 400 pM concentration detection for other two groups.

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We present an annotated catalogue of the Lepidoptera family Gelechiidae of India, comprising 351 species in 80 genera, encompassing seven subfamilies. The Indian fauna represents 7.47% of global gelechiid species diversity (i.

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We catalogue 165 species in 81 genera representing six families of Cossoidea present in India. Sesiidae is the most dominant family in India, consisting 89 species in 38 genera, followed by Cossidae with 47 species in 28 genera, Brachodidae with 13 species in six genera, Metarbelidae with 12 species in seven genera, Ratardidae with three species in single genus and the Dudgeoneidae is known by single species. A comprehensive data on the species diversity of all the families of Indian Cossoidea, with information on type species, type locality, synonyms, clarifications, and distribution in different parts of India and Globe, are provided.

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Antibody engineering has developed into a wide-reaching field, impacting a multitude of industries, most notably healthcare and diagnostics. The seminal work on developing the first monoclonal antibody four decades ago has witnessed exponential growth in the last 10-15 years, where regulators have approved monoclonal antibodies as therapeutics and for several diagnostic applications, including the remarkable attention it garnered during the pandemic. In recent years, antibodies have become the fastest-growing class of biological drugs approved for the treatment of a wide range of diseases, from cancer to autoimmune conditions.

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In accordance with the inability of various hair artefacts subjected to dermoscopic medical images, undergoing illumination challenges that include chest-Xray featuring conditions of imaging acquisi-tion situations built with clinical segmentation. The study proposed a novel deep-convolutional neural network (CNN)-integrated methodology for applying medical image segmentation upon chest-Xray and dermoscopic clinical images. The study develops a novel technique of segmenting medical images merged with CNNs with an architectural comparison that incorporates neural networks of U-net and fully convolutional networks (FCN) schemas with loss functions associated with Jaccard distance and Binary-cross entropy under optimised stochastic gradient descent + Nesterov practices.

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The Miltochrista hollowai (Kirti & Gill, 2009) and M. curvifascia (Hampson, 1891) species-groups are reviewed, and two new species belonging to the M. hollowai species-group i.

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Background: Delirium is an acute confusional state characterized by changes in the mental status, level of consciousness, impaired cognition, and inattention. It can develop within hours or days. Cortisol release from the hypothalamic-pituitary-adrenal axis (HPA) is vital for the host survival in stress.

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Melamine and its derivative, cyanuric acid, are occasionally added to pet meals because of their nitrogen-rich qualities, leading to the development of several health-related issues. A nondestructive sensing technique that offers effective detection must be developed to address this problem. In conjunction with machine learning and deep learning technique, Fourier transform infrared (FT-IR) spectroscopy was employed in this investigation for the nondestructive quantitative measurement of eight different concentrations of melamine and cyanuric acid added to pet food.

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Conventional spectroscopic methods like IR, and Raman are not very effective at detecting low levels of pesticides or harmful chemicals in food matrices. A quick, highly accurate approach that can identify pesticides present in different food products at lower levels must be developed in order to address this problem and ensure food safety. In this study, a highly sensitive and uniform wafer-scale Au nanogap surface-enhanced Raman spectroscopy (SERS) substrate was used for the quantitative analysis of carbaryl pesticide levels in standard solution, mango juice, and milk samples using chemometrics.

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We catalogue 1,695 Indian Pyraloidea species in 509 genera. Of these, Pyralidae comprises 518 species in 182 genera, which represents 8.35% of the global Pyralidae diversity of 6,197 species.

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We catalogue 100 species (including nominotypic subspecies) and five subspecies in 35 genera of Lasiocampinae, Lasiocampidae from India. This represents 5% of the 1,952 species of Global Lasiocampidae. Information on types (locality and depository), synonymy, diversity and distribution in different biogeographic zones of India alongwith global records, contribution of various authors on Indian Lasiocampidae is provided.

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Article Synopsis
  • Researchers aimed to create a faster, non-destructive method for measuring phenolic compounds in plants, as traditional methods are slow and destructive.
  • They used hyperspectral imaging (HSI) and machine learning on the model plant Arabidopsis, testing it under various stress conditions.
  • The study found that using shortwave infrared (SWIR) spectra provided the best prediction accuracy for total phenolic content, achieving high performance metrics and demonstrating a promising rapid measurement system.
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The increasing interest in plant phenolic compounds in the past few years has become necessary because of their several important physicochemical properties. Thus, their identification through non-destructive methods has become crucial. This study carried out comparative non-destructive measurements of leaf powder sample phenolic compounds using Fourier-transform infrared and near-infrared spectroscopic techniques under six distinct stress conditions.

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Purpose: Complex two-dimensional (2D) patterns of hyperfluorescent short-wave fundus autofluorescence (FAF) at the border of geographic atrophy (GA) can predict its expansion in patients with late non-exudative "dry" AMD. However, preclinical models do not phenocopy this important feature of disease. We sought to describe the spatiotemporal changes in hyperfluorescent FAF patterns that occur following acute oxidative stress, potentially in association with GA expansion.

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