Browsing by Author "Kumar Singh M."
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Item Bioactive metabolites identification of the foxnut and broken millet-based nutritional bar using HR-MS(Elsevier B.V., 2024) Kumar V.; Kumar A.; Kumar Singh M.; Dhyani P.; Mishra H.; Chandra Rai D.The by-products of the grain processing industry are a vital resource for the valorization methods in the food industry. In comparison to the whole grain, the broken kernels and seeds own similar nutrient and bioactive compounds having multifaceted health properties. This study aims to develop a nutritional bar by utilizing the by-products from barnyard millet and foxnut with added sweeteners. Furthermore, high-resolution mass spectrometry (HR-MS) metabolomics was carried out in positive and negative both ion modes to identify the major bioactive compounds formed in the matrix of the best-optimized valorized bar. The formulation of the bar having 15 % foxnut flour and the barnyard flour each, was elucidated highest rheological and sensory scores. A sum of 29 bioactive metabolites has been observed in the obtained metabolome. Major metabolites were palmitoyl serinol, glycitein, persin, bufagargarizin, apigenin, carvone, etc. covering a wide area in the mass spectrum. The therapeutic value of these compounds is heart health promotion, anti-inflammatory, anti-carcinogenic, anti-diabetic, anti-microbial, etc. This work highlights the bioactivity of the valorized nutritional bar employing robust and accurate tool of mass spectrometry. The developed snack is a functional food for the consumers. � 2024 The Author(s)Item Foodomics-based metabolites profiling of the Greek yogurt incorporated with unripened papaya peel powder(Elsevier B.V., 2024) Lal Bajya S.; Shankar Bunkar D.; Kumar Goyal S.; Kumar Singh M.; Kumar Paswan V.; Lal S.; Dhyani P.The food waste of the fruit processing industry is rich in many bio-active components such as polysaccharides, polyphenols, peptides, etc. that own multifaceted health benefits. The valorization of this waste is an intriguing optimization method for various dairy products. Meanwhile, LC-MS-based foodomics has been an emerging approach for the quantitative and qualitative analysis of dairy foods. Untargeted metabolomics has been done of the optimized functional yogurt that contains different levels of unripened papaya peel powder (UPPP) using high-resolution mass spectroscopy for analysis of added bio-active components in the matrix. UPPP comprises a high content of phytochemicals which could give functionality and therapeutic effect to the Greek yogurt. A total of 36 functional metabolites have been identified which have various health-beneficial attributes. Kaempferol, ostruthin, putative carpaine derivatives, etc. are some of the metabolites of high importance with a wide area coverage in the metabolome. This work highlights the bioactivity of the UPPP and its prebiotic properties added to the functional yogurt as an independent ingredient. The incorporated plant-based ingredients like UPPP can effectively enhance the functional attributes of Greek yogurt, which is a potential synbiotic food. � 2024 The Author(s)Item Hybrid Thresholding for Image Deconvolution in Expectation Maximization framework(Taylor and Francis Ltd., 2024) Pratap Singh R.; Kumar Singh M.In this study, we proposed an image deconvolution method in the expectation maximization (EM) framework. This method involves two steps: (i) E-step: utilizing the fast Fourier transform (FFT) for computationally efficient inversion of the convolution operator and (ii) M-step: employing the discrete wavelet transform (DWT) for estimating the original image from the image obtained in the E-step. In M-step, we proposed a modified L1-clipped penalty resulting in a hybrid thresholding scheme that integrates conventional hard and soft thresholds. This hybrid threshold ameliorates the inherent bias-variance trade-offs associated with traditional hard and soft thresholding schemes. The mathematical expressions for the risk, bias, and variance of the proposed hybrid threshold are derived and the performance is evaluated through simulation. Experimental results show that the proposed method achieves optimal values for variance and bias, thereby minimizing the risk. Moreover, the proposed method outperforms state-of-the-art methods in terms of performance metrics: PSNR, ISNR, and SSIM. � 2024 The Royal Photographic Society.Item Metabolomics and microscopic profiling of flaxseed meal- incorporated Peda(Elsevier B.V., 2024) Maurya S.; Verma T.; Aggarwal A.; Kumar Singh M.; Dutt Tripathi A.; Trivedi A.Functional dairy foods are in high demand due to their convenience, enhanced nutrition, intriguing flavors, and natural ingredients. The valorization of flaxseed by-products can potentially boost the functionality of these foods. This work involves the optimization of flaxseed meal powder (2%, 2.5%, 3%) during Peda preparation based on sensory and textural attributes. The optimized Peda (2%) exhibited significantly reduction in moisture (39.6%) and water activity (18.9%), while significantly increasing crude fiber (1.88%), protein (26.4%), fat (8%) and DPPH inhibition (274.5%) as compared to control Peda. Scanning electron microscopy of the optimized Peda revealed the surface displayed a dense, uneven texture, heavily coated with fat, and intergranular spaces filled with milk serum. Twenty-three primary compounds were recognized in high-resolution mass spectrometry (HR-MS), including 6 organic acids, 6 amino acids, 3 fatty acids, 3 other metabolite derivatives, 2 lipids, 2 bioactive components, and 1 sugar. Besides gas chromatography mass spectrometry (GC�MS) found six separate types of fatty acids. These compounds have been proven to possess various bioactivities, such as promoting brain activity, antioxidant, anti-diabetic, anti-inflammatory, cardiovascular-protective effects, etc. Flaxseed meal, as a plant-based substitute for dairy ingredients, offers a sustainable and healthy alternative, making flaxseed-incorporated Peda a functional food. � 2024 The Author(s)
