http://nopr.niscpr.res.in/handle/123456789/67890 2026-10-10T12:37:38Z http://nopr.niscpr.res.in/handle/123456789/67898 Title: Determination of Pb(II) Ion with a Novel, Highly Efficient Immobilized Arsenazo III in a Polymer Matrix Authors: M. B, Kholboeva; Z. A, Smanova; U. A, Madatov; Boburjon, Yusupov; A. K, Nomozov; F. A., Sobirova; Olimovich Daminov, Oybek; Otabek Alijonugli, Mengboyev Abstract: In this study, a novel analytical reagent based on arsenazo III immobilized on a polymer matrix composed of polyacrylonitrile, polyethylene polyamine, and dichloroethane (PPD) was developed and applied for the spectrophotometric determination of Pb(II) ions. The proposed method demonstrated standard analytical and metrological characteristics for the highly accurate determination of Pb(II) ions, as evidenced by a relative standard deviation (Sr) of 0.06 and a minimum detectable concentration (Cmin) of 0.24 μg/L. The accuracy and reproducibility of the method were evaluated using Student’s t-test and Fisher’s F-test. Comparison of the experimental and tabulated values (experiment = 1.09; ttable = 2.83, Fexperiment = 2.52; Ftable = 4.47) confirmed the reliability of the proposed analytical procedure. At pH 5.8 in an acetate buffer medium, the Pb(II)–arsenazo III complex immobilized on the PPD matrix exhibited a maximum analytical signal at a wavelength of 640 nm. The measurement results followed the Beer–Lambert–Bouguer law, showing a linear relationship in the Pb(II) concentration range of 0.04-2.4 μg/mL. The method is simple, rapid, cost-effective, and allows direct ion determination in water samples with high sensitivity and selectivity. Page(s): 199-210 2026-03-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/67897 Title: Regulated Traffic Emission Influence on Urban Air Quality - A Coherent Analysis using Sequential Covid-19 Pandemic Lockdown Episodes in Lucknow, India Authors: Bojjagani, Sreekanth; S Kalikinkar Mahanta, S Abstract: Air quality deterioration has been a major concern due to the increased road transportation and other urban activities to fulfill the requirements of the growing population in the cities. A relative difference between the impact of stationary sources and road traffic on urban air quality was rarely addressed. Further, dispersion extent of traffic emissions during the regulated road vehicular density and movement was underexplored. The study quantitatively assessed the influence of regulated road traffic emissions on atmospheric particle pollution using the episodic COVID-19 traffic restrictions in Lucknow, India. Concurrent VKT emissions and near-road measurements of PM10 were evaluated for 9 sampling sites covering residential, commercial, and industrial areas in the city. An incremental trend is observed in ambient PM10 by 1.9 and 1.7 times with the sequentially increased load of vehicular emission from the complete lockdown to partial lockdown and the following partial lockdown to unlock phases of COVID-19, respectively, in the city. USEPA AERMOD-model predictions concerning traffic emission alone provided the impact of air dispersion ranging from 0.2 km to 1.5 km distance from the city roads to nearby surrounding areas. Predictions and observations of PM10 differed maximally during the complete lockdown, and by the unlock phase of COVID-19, the difference was reduced, which indicates the significant influence of stationary and non-stationary sources in the city. Further, the variations between the predictions and observations of PM10 for residential, commercial, and industrial sites in the city give a comprehensive understanding of emission source distribution impact under urban land use settings in Lucknow. Page(s): 211-222 2026-03-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/67896 Title: Development of Vehicular Emission Inventory using Traffic-Type-Road Classification: A Case Study of Nashik, India Authors: V. Vyawahare, Rahul; V George, K; Gargava, Prashant Abstract: Vehicular emissions are a major contributor to deteriorating urban air quality; conventional bottom-up emission inventories apply a uniform citywide average Vehicle Kilometre Travelled (VKT) derived from limited manual counts. This oversimplification overlooks the heterogeneous composition of traffic and diurnal activity, leading to inflated and poorly resolved emission estimates. This study estimates a traffic-type-based road categorisation framework to generate link-specific VKT and quantify vehicular emissions for Nashik city, India. Classified vehicle count, dominant traffic category, road hierarchy and hourly activity duration were integrated across a 24-hour cycle, and emissions of PM, NOx, CO and HC were estimated using category-specific emission factors. Relative to the uniform VKT method, the proposed framework estimated 69% lower PM, 63% lower NOx, 53% lower CO and 55% lower HC and a more realistic emission load. Temporal assessment revealed that two-wheelers dominated daytime (internal road activity), contributing 63.1% of CO and 46.6% of HC, while Light-Duty Vehicles (LDV) and Heavy-Duty Vehicles (HDV) dominated the early hours, contributing 45.4% of NOx and 29% of PM. Unlike the conventional methods that yielded consistent patterns, the proposed emission inventory method highlighted spatial output with distinct emission hotspots along the freight corridors. The novelty of this methodology lies in traffic-type-based estimation of vehicle kilometre travelled, enabling explicit quantification of intra-urban and diurnal heterogeneity. This framework offers practicability for urban local bodies, transport planners and pollution regulatory authorities by providing an adaptable, data-efficient and policy-relevant methodology for air pollution control, emission hotspots identification, and city traffic management in rapidly motorising Indian cities. Page(s): 223-233 2026-03-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/67895 Title: A Fuzzy Kansei Engineering for Evaluating Comfort and Sensory Preferences in Robusta Coffee Intake Authors: Prestyaning Wanita, Yeyen; Ushada, Mirwan; Cahyo Sukartiko, Anggoro; Damayanti, Ema Abstract: Coffee provides a comforting experience that varies among individuals, making fuzzy logic a suitable method for evaluating perceived comfort. This study aimed to assess the comfort experienced after the intake of Robusta coffee processed through different postharvest methods (wet, semi-wet, and hybrid), using Kansei Engineering and sensory preference analysis. Thirty panellists (13 women, 17 men), aged 17–65 years and regular coffee consumers, participated in the study. Descriptive analysis was conducted using XLStat, and comfort modelling was performed using a Mamdani-type Fuzzy Inference System via Python Scikit-Fuzzy. The results showed that: (1) significant heart rate changes occurred after the intake of hybrid- and semi-wet-processed coffee, while significant blood pressure changes were found only after the intake of hybrid-processed coffee; (2) postharvest processing affected Kansei physiological responses, with heart rate and oxygen saturation as key indicators of comfort; (3) increased heart rate and decreased oxygen saturation were associated with reduced comfort; (4) the intake of hybrid-processed coffee resulted in the highest comfort and sensory preference; and (5) aroma showed the strongest association with perceived comfort. These findings suggest that Kansei physiological responses can be applied as a reliable tool for evaluating comfort in coffee intake. Coffee that induces positive physiological responses may enhance emotional well-being, providing valuable input for product development aligned with consumers’ affective needs. Page(s): 234-243 2026-03-01T00:00:00Z