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There are various Kreis tests reported in the literature with wide variations in the procedure. The purpose of this paper is to select the most suitable and reliable method for the rancidity evaluation in ghee.

Ghee samples were prepared from butter by the direct cream method. They were assessed for early-stage oxidative deterioration by four Kreis tests in an accelerated storage trial at intervals of 48 h. The amount of ghee samples, amount of reagents (chloroform, 30 percent trichloroacetic acid, 1 percent phloroglucinol, and ethanol), incubation temperature and duration were different in the four tests. For each method, the ghee samples were also monitored for changes in flavor at intervals of 48 h by sensory evaluation. Relationships among the Kreis values determined by the four different Kreis tests and flavor scores were established using a correlation analysis.

The correlation coefficient of the Kreis values determined by different Kreis tests was in decreasing order of: Kreis test-2 (−0.904) > Kreis test-4 (−0.792) > Kreis test-3 (−0.648) > Kreis test-1 (−0.469). Thus, among the four different Kreis tests, Kreis Test-2 reported by Pool and Prater (1945) was found to be more sensitive and more consistent, and have the highest coefficient of correlation (−0.904) with flavor score of ghee during storage at 80±2°C.

The finding of this study will be useful for the selection of an appropriate and reliable Kreis test that can be used for detecting rancidity in ghee at an incipient stage. The development of rancidity in the ghee leads to formation of off-flavor and such an oxidized product is not accepted by the consumer; this leads to economic loss to the manufacturer. Detection of traces of rancidity at an early stage provides an opportunity for industry personnel to take suitable control measures and/or make decisions regarding utilization of the product.

The use of a reliable Kreis test that detects traces of rancidity in a ghee can be very useful for enabling suitable measures to be taken to prevent further oxidative deterioration or to dispose of the ghee as early as possible.

The purpose of present study was to evaluate the quality characteristics of cow?s milk in the holy city Mathura, which is famous for it?s gau dhan and Lord Krishna.

The milk samples were collected from dairy shops, vendors and milk producers and evaluated on the basis of various organoleptic tests, physico-chemical properties, proximate estimation and microbiological studies following the standard procedures.

The milk samples of Township and Chungi areas had more clear appearance and normal texture/consistency than other three areas. No cow milk sample was observed with pure white colour; however, 74 per cent of the samples had normal light yellow colour. No milk sample had rancid/oxidized odour; however, few milk samples contained weedy or absorbed odour. Watery consistency was observed in 50 per cent of the samples, whereas thick, ropy or slimy consistency was observed in 4, 4 and 20 per cent of the samples, respectively. The temperature, pH and specific gravity of milk collected from different regions were lower, but titratable acidity was higher than normal prescribed range (<0.14 per cent). The moisture content of all the samples was higher; however, other proximate parameters showed quite variable values than normal values of cow milk. Out of the total, 28 per cent of the samples of cow milk were positive for formalin. The microbial load was higher than normal prescribed limit.

Food safety and food security are very much at the top of the agenda in India, so it is of utmost importance to screen the quality of milk and milk products in the market for avoidance of skimming practices and/or adulteration of milk with water and human health problems.

This paper aims to study nonlinear heat transfer through a longitudinal fin of three different profiles.

A truly meshfree method is used to undertake a nonlinear analysis to predict temperature distribution and heat-transfer rate.

A longitudinal fin of three different profiles, such as rectangular, triangular and concave parabolic, are analyzed. Temperature variation, along with the fin length and rate of heat transfer in steady state, under convective and convective-radiative environments has been demonstrated and explained. Moving least square (MLS) approximants are used to approximate the unknown function of temperature T(x) with Th(x). Essential boundary conditions are imposed using the penalty method. An iterative predictor–corrector scheme is used to handle nonlinearity.

Modelling fin in a convective-radiative environment removes the assumption of no radiation condition. It also allows to vary convective heat-transfer coefficient and predict the closer values to the real problems for the corresponding fin surfaces.

The meshless local Petrov–Galerkin method can solve nonlinear fin problems and predict an accurate solution.

This paper aims to report an insightful portable microfluidic system for rapid and selective sensing of Hg²⁺ in the picomolar (pM) concentration using microcantilever-based piezoresistive sensor. The detection time for various laboratory-based techniques is generally 12–24 h. The majority of modules used in the proposed platform are battery oriented; therefore, they are portable and handy to carry-out on-field investigations.

In this study, the authors have incorporated the benefit of three technologies, i.e. thin-film, nanoparticles (NPs) and micro-electro-mechanical systems, to selectively capture the Hg²⁺ at the pM concentration. The morphology and topography of the proposed sensor are characterized using field emission scanning electron microscopy and verification of the experimental results using energy dispersive X-ray.

The proposed portable microfluidic system is able to perform the detection in 5 min with a limit of detection (LOD) of 0.163 ng (0.81 pM/mL) for Hg²⁺, which perfectly describes its excellent performance over other reported techniques.

A microcantilever-based technology is perfect for on-site detection, and a LOD of 0.163 ng (0.81 pM/mL) is outstanding compared to other techniques, but the fabrication of microcantilever sensor is complex.

Many researchers used NPs for heavy metal ions sensing, but the excess usage and industrialization of NPs are rapidly expanding harmful consequences on the human life and nature. Also, the LOD of the NPs-based method is limited to nanomolar concentration. The suggested microfluidic system used the benefit of thin-film and microcantilever devices to provide advancement over the NPs-based approach and it has a selective sensing in pM concentration.

This paper aims to propose a new microfluidic portable experimental platform for quick detection of heavy metal ions (HMIs) in picomolar range. The experimental setup uses a microfabricated piezoresistive sensor (MPS) array of eight cantilevers with ion-selective self-assembled monolayer's (SAM).

Most of the components used in this experimental setup are battery operated and, hence, portable to perform the on-field experiments. HMIs (antigen) and thiol-based SAM (antibody) interaction start bending the microcantilever. This results in a change of resistance, which is directly proportional to the surface stress produced due to the mass of targeted HMIs. The authors have used Cysteamine and 4-Mercaptobenzoic acid as a thiol for creating SAM to test the sensitivity and identify the suitable thiol. Some of the cantilevers are blocked using acetyl chloride to use as a reference for error detection.

The portable experimental platform achieves very small detection time of 10-25 min with a lower limit of detection (LOD) 0.762 ng (6.05 pM) for SAM of Cysteamine and 4-Mercaptobenzoic acid to detect Mn2+ ions. This technique has excellent potential and capability to selectively detect Hg2+ ions as low as 2.43 pM/mL using SAM of Homocysteine (Hcys)-Pyridinedicarboxylic acid (PDCA).

As microcantilever is very thin and fragile, it is challenging to apply a surface coating to have selective detection using Nanadispenser. Some of the cantilevers get broken during this process.

The excessive use and commercialization of NPs are quickly expanding their toxic impact on health and the environment. Also, LOD is limited to nanomolar range. The proposed method used the combination of thin-film, NPs, and MEMS-based technology to overcome the limitation of NPs-based technique and have picomolar range of HMIs detection.

The purpose of this paper is to present a finite element analysis (FEA) which shows the comparison between a layered cylindrical hollow roller bearing and hollow roller bearing.

In this work, FEA is carried out to solve the elastic contact between a layered cylindrical hollow roller and flat contact for different hollowness percentages ranging from 10 to 80 per cent. Graphical solution is developed to determine the optimum hollowness of a cylindrical roller bearing for which induced bending stress should be within endurance limit of the material.

Different parameters such as von Mises stress, contact pressure, contact width and deformation are shown here.

The value of this research work is the calculation of contact width and other parameters using FEA for layered cylindrical hollow roller bearing.

Purpose: This piece delves into the transformative potential of artificial intelligence (AI) in the healthcare field within the emerging realm of Industry 5.0, highlighting a people-focused and eco-friendly approach.

Need for the study: While Industry 4.0 set the foundation for digitization in healthcare, it frequently overlooked the human factor and concerns about sustainability. Industry 5.0 tackles these deficiencies by giving importance to human welfare, efficiency in resource usage, and societal consequences alongside technological progress.

Methodology: This research utilizes a survey of existing written works on Industry 5.0, AI in healthcare, and associated empowering technologies. It also leans on insights from recent investigations and business actions to pinpoint current patterns and future paths.

Findings: This chapter showcases how AI-driven solutions can greatly alter various facets of healthcare. Some of these healthcare facets encompass personalized medicine and treatment, intelligent diagnostics and decision support, robot-supported surgery and care, and enhanced availability and affordability.

Practical applications: This piece offers valuable perspectives for healthcare investors. These investors cover healthcare suppliers, technology creators, rule creators, and patients. By embracing the standards of Industry 5.0, the merging of AI into healthcare brings significant potential for crafting a more competent, sustainable, and people-centered healthcare network that benefits both patients and society as a complete unit. This research investigates the stance, viewpoints, and potential impacts of machine intelligence (MI) in health with an emphasis on Industry 5.0.

The purpose of this paper is a new thin-film based sensor proposed for sensitive and selective detection of mercury (Hg²⁺) ions in water. The thin-film platform is easy to use and quick for heavy metal ions (HMIs) detection in the picomolar range. Ion-selective self-assembled monolayer's (SAM) of thiol used for the detection of HMIs above the Au/Ti top surface.

A thin-film based platform is suitable for the on-field experiments and testing of water samples. HMIs (antigen) and thiol-based SAM (antibody) interaction results change in surface morphology and topography. In this study, the authors have used different characterization techniques to check the selectivity of the proposed method. This change in the morphology and topography of thin-film sensor checked with Fourier-transform infrared spectroscopy, surface-enhanced Raman scattering spectroscopy, atomic force microscopy and scanning electron microscopy with energy dispersive x-ray analysis used for high-resolution images.

This thin-film based platform is straightforward to use and suitable for real-time detection of HMIs at the picomolar range. This thin-film based sensor platform capable of achieving a lower limit of detection (LOD) 27.42 ng/mL (136.56 pM) using SAM of Homocysteine-Pyridinedicarboxylic acid to detect Hg²⁺ ions.

A thin-film based technology is perfect for real-time testing and removal of HMIs, but the LOD is higher as compared to microcantilever-based devices.

The excessive use and commercialization of nanoparticle (NPs) are quickly expanding their toxic impact on health and the environment. The proposed method used the combination of thin-film and NPs, to overcome the limitation of NPs-based technique and have picomolar (136.56 pM) range of HMIs detection. The proposed thin-film-based sensor shows excellent repeatability and the method is highly reliable for toxic Hg²⁺ ions detection. The main advantage of the proposed thin-film sensor is its ability to selectively remove the Hg²⁺ ions from water samples just like a filter and a sensor for detection at picomolar range makes this method best among the other current-state of the art techniques.

The purpose of this paper is to extend the Hertz equation for the contact interaction between a layered cylindrical hollow roller and a flat plate through an experimental technique.

In this work, an experimental investigation is carried out for an elastic contact between layered cylindrical hollow rollers of different hollowness, ranging from 30 to 75 per cent hollowness and a flat plate. The footprint method was used for the evaluation of the contact width corresponding to the applied load.

The contact width for the layered cylindrical hollow roller was evaluated and the Hertz equation was extended on the basis of the experimental results.

The value of this research work is the development of an extended Hertz equation for a cylinder-on-plate configuration for a new kind of cylindrical roller.

Considering the role of the textile industry in the generation of employment and export in the Indian economy, it is important to comprehend the efficiency level in the operations of the textile units located in different states in India. In this light, the purpose of this paper is to examine the operational efficiency of textile manufacturing units in Haryana, a northern state of India.

The study applies data envelopment analysis (DEA) approach consisting of input-oriented CCR and BCC techniques along with the return to scale technique for the analysis of five years of data from 2015–2016 to 2019–2020.

The results reveal that Haryana’s textile units have significantly underperformed operationally, with an average technical efficiency score of just 0.25 for five years, from 2015–2016 to 2019–2020. The yearly ratings of the overall technical efficiency of the selected textile companies include 0.20, 0.18, 0.18, 0.40 and 0.28; PTE scores are 0.43, 0.43, 0.55, 0.60, 0.62 and scale efficiency scores 0.54, 0.44, 0.29, 0.71, 0.38, respectively, from 2015–2016 to 2019–2020. On the other hand, average of 5.8 units are functioning at the constant return to scale, 10.2 units are at increasing return to scale and average of 45 units are functioning at decreasing return to scale (DRS). It is found that most of the companies are functioning at a DRS; to boost efficiency, these companies must reduce their input size since they are running at a DRS.

The results of the current paper provide key insight into the inefficiency level of the textile manufacturing industry in the context of northern India. Industry professionals can take corrective measures based on these findings. Moreover, for investors and portfolio managers, knowing which companies are efficient and which are not will help them make better decisions. The study helps policymakers to frame appropriate policy guidelines to make the textile units in the state more efficient and competitive.

To the best of the authors’ knowledge, no study has been done so far on the operational performance of the textile industry in Haryana based on the DEA technique. So, it will contribute to the extant literature on the performance of the textile industry.