Visible Instrument Research Articles

Synthesis of CdTe nanoparticles by PVD Technique and Study their Physical Properties

Nano-crystalline CdTe films were coated on a glass substrate by vacuum evaporation (PVD) technique, with the annealed temperature at (25, 100, 150, and 200 °C). The samples were examined by Uv‒visible instrument to investigate the transmittance and absorption. The dependency of the absorption coefficient (α) on the wavelength has been investigated. The X-ray diffraction revealed that cubic crystalline was obtained and the peak intensity increased as the temperature increased. The crystallite size increased during grans growth when annealed temperature increased. The estimated energy gaps of the CdTe films were 1.86, 1.87, 1.85, and 1.84 eV, due to the differences in particle sizes. Electrical characteristics have been made to detect the resistivity and conductivity and it was found that the resistivity changes directly with the increase of the energy gap and inversely with the increase in the conductivity of the CdTe films. The surface morphology was homogenous and very smooth surfaces were detected.

Investigation of an irradiated CCD device: Building and testing a Charge Transfer Inefficiency correction pipeline using the Pyxel framework

Pyxel is a powerful end-to-end detector simulations framework with the aim of being reusable, reliable and help facilitate knowledge transfer between a wide range of related fields. To show how beneficial Pyxel can be, we present an investigation into the effect of Charge Transfer Inefficiency (CTI) on an irradiated CCD-273 device produced by Teledyne-e2v, the type of detector used for the Euclid VIS instrument. This requires production of two pipelines. Firstly, a calibration pipeline to search the parameter space and obtain best fitting trap parameters based upon the CTI within the detector. Secondly, a correction pipeline which aims to correct the CTI-induced data using these trap parameters to obtain a nominal efficiency of 99.5%. The following presents work conducted in building, testing and validating the correction pipeline using Pyxel and the CTI model ArCTIC. This involves data from the unirradiated portion of a CCD-273 device using the scene projection system at the labs at the European Space Agency (ESA). The images are computationally altered by varying parameters such as background levels and readout noise, and by synthetically producing CTI trails from known trap parameters. The resulting images are corrected and analysed to understand how noise affects the correction efficiency at varying image background levels.

Euclid: Early Release Observations -- Unveiling the morphology of two Milky Way globular clusters out to their periphery

As part of the Early Release Observations (ERO) programme, we analysed deep, wide-field imaging from the VIS and NISP instruments of two Milky Way globular clusters (GCs), namely NGC 6254 (M10) and NGC 6397, to look for observational evidence of their dynamical interaction with the Milky Way. We searched for such an interaction in the form of structural and morphological features in the clusters' outermost regions, which would be suggestive of the development of tidal tails on scales larger than those sampled by the ERO data. From our multi-band photometric analysis, we obtained deep and well-behaved colour--magnitude diagrams that, in turn, enabled an accurate membership selection. The surface brightness profiles built from these samples of member stars are the deepest ever obtained for these two Milky Way GCs, reaching down to $ mag/arcsec$^2$, which is $ mag/arcsec$^2$ lower than before. The investigation of the two-dimensional density map of NGC 6254 reveals an elongated morphology of the cluster peripheries in the direction and with the amplitude predicted by $N$-body simulations of the cluster's dynamical evolution, at high statistical significance. We interpret this as strong evidence for the first detection of tidally induced morphological distortion around this cluster. The density map of NGC 6397 reveals a slightly elliptical morphology, in agreement with previous studies, which requires further investigation on larger scales to be properly interpreted. This ERO project thus demonstrates the power of in studying the outer regions of GCs at an unprecedented level of detail, thanks to the combination of the large field of view, high spatial resolution, and depth enabled by the telescope. Our results highlight the future survey as the ideal dataset for investigating GC tidal tails and stellar streams.

A convenient smartphone-assisted colorimetric for 6-Mercaptopurine detection using enhanced oxidase-like activity of β-cyclodextrin modified MnO2 nanosheets

6-mercaptopurine (6-MP) is widely used in the treatment of many diseases, but exhibits some serious side effects due to its toxicity. Therefore, it is important and imperative to effectively control and monitoring concentration of 6-MP. Herein, we designed a smartphone-assisted colorimetric sensing platform for 6-MP detection, based on an excellent β-cyclodextrin modified MnO2 nanosheets (β-CD@MnO2 NNS) mediated oxidase-like activity. β-CD@MnO2 NNS can directly oxidizes 3,3′,5,5′-tetramethylbenzidine (TMB) into oxidized TMB with color changes, yielding more than 3-fold higher oxidase-like catalytic activity compared with individual MnO2 NNS. After adding 6-MP, β-CD@MnO2 NNS can be reduced to Mn2+ and lose their oxidase-like properties, resulting in a color and absorbance change for sensitive and selectivity detection of 6-MP. Meanwhile, the smartphone-based color recognition application can intuitively and simply measure the concentration of 6-MP. The limits of detection UV–vis instrument and smartphone were 0.35 μM and 0.86 μM, respectively. This method has also been successfully applied to the detection of real samples. Finally, this study provides a new promising platform for detection of 6-MP and is expected to be used in application of pharmaceutical analysis and biomedicine.

Development of a new intelligent instrument for visibility and turbulence meteorological environment parameters in traffic network

The number of transport network systems in the world is increasing and the transport network passes through different geographical environments, there is an urgent need to develop an environmental meteorological monitoring equipment for the transport network security. So, in this study, a new intelligent instrument for monitoring the visibility and turbulence meteorological environmental parameters (temperature, pressure, humidity, etc.) of traffic networks (IVMPT) is developed. The feasibility of simultaneous measurement of visibility, turbulence and various meteorological elements is verified. The atmospheric visibility is measured based on the extinction principle and the atmospheric turbulence in a certain range based on the light intensity scattering principle. The commercial Visibility instrument (DNQ2-1) and Micro-temperature Sensor are used to compare with our new instrument. The results show that the difference between the visibility and turbulence measurements and the comparison instrument is 3% and 8.4%, respectively. After comparative examination, the new instrument meets the design requirements. In addition to environmental meteorological monitoring applications in the transport network, the instrument provides a new scientific instrument for the study of aerosol-turbulence interactions in basic science issues.

Adsorption of Remazol Brilliant Blue R Dye Using Activated Carbon from Emty Palm Oil Bunches

Various types of dyes are used in the textile industry, including Remazol Brilliant Blue R dye. Remazol dye is a type of anthraquinone which is very difficult to remove if it is contaminated in the environment. One method of dealing with dyes that pollute the environment is adsorption using activated carbon. The material for activated carbon has the most potential to come from the palm oil industry, namely empty palm fruit bunches because they are widely available and have economic value. This study aimed to determine the effect of varying exposure time between activated carbon made from empty palm fruit bunches and textile dye Remazol Brilliant Blue R on decreasing the concentration of dye Remazol Brilliant Blue R. The adsorption process was carried out with the ratio of adsorbent mass: dye volume w/v (0.1:15) and varying the contact times of 20, 40, 60, 80, 100 and 120 minutes. The initial concentration of textile substances was 23.2121 mg/L and was contacted between Remazol Brilliant Blue R textile substances with adsorbents using a shaker. Analysis of adsorption results using a UV – Vis instrument with a wavelength of 670 nm for Remazol Brilliant Blue R dye. The results showed that the best adsorption conditions was 60 minute contact time, with a removal percentage of 87.23% with an adsorption capacity of 3.0373 mg/g. The adsorption of Remazol Brilliant Blue R follows the Langmuir adsorption equation model with an R2 of 0.9997.

Divided Government, Strategic Substitution, and Presidential Unilateralism

AbstractPresidents select from a range of instruments when creating new policies through executive action. We study strategic substitution in this context and argue that presidents use less visible means of unilateral instruments when Congress is likely to scrutinize presidential action. Using data on unilateral orders issued between 1946 and 2020, we report two main findings. First, analyzing presidents’ choice of instruments, we show that presidents are more likely to substitute memoranda and other less visible instruments for executive orders and proclamations during periods of divided government. Second, after accounting for the substitution of executive orders with other instruments, we find that presidents issue greater numbers of directives during divided government than during unified government. These findings provide new evidence about the limitations of the separation of powers as a constraint on presidential unilateralism and highlight the importance of accounting for the variety of instruments through which presidents create unilateral policies.

Boosted photocatalytic and antibacterial activities of polyaniline supported tandem n-n ternary CdS-ZnO-Ag3PO4 composite under visible light irradiation

In this work, a novel polyaniline supported tandem n-n ternary heterojunction, PANI/CdS-ZnO-Ag3PO4, was prepared via impregnation method. Physicochemical properties of the as-synthesized materials were determined by AAS, XRD, TGA-DTA, UV–vis, SEM-EDX, HR-TEM, FT-IR, and PL instruments. Photocatalytic activities and antimicrobial efficiencies of the supported and unsupported heterojunctions were evaluated using methyl orange dye as a model organic pollutant and Gram negative and Gram positive bacteria as test microbes respectively. Photocatalytic and antibacterial activities of the polymer supported ternary heterojunction were found to be higher than that of binary and single forms. At optimized working conditions (12 ppm of MO, 140 mg L−1 of catalyst, at pH=6), degradation efficiencies of 95.6%, 92.1%, 84.2% and 70.0% were obtained during four cycles. Thus, supporting the ternary system not only enhanced the photocatalytic efficiency but also the stability of the ternary heterojunction. Superoxide (·O2-) and hydroxyl radicals (·OH) were the predominant reactive species involving in the degradation process. Antibacterial efficiency of polyaniline supported CdS-ZnO-Ag3PO4 composite over both Gram negative and Gram positive bacteria was found to be relatively higher than its binary and ternary counterparts revealing the potential application of this novel composite for environmental and antimicrobial applications.

Sensitivity of strong lensing observations to dark matter substructure: a case study with Euclid

ABSTRACTWe introduce a machine learning method for estimating the sensitivity of strong lens observations to dark matter subhaloes in the lens. Our training data include elliptical power-law lenses, Hubble Deep Field sources, external shear, and noise and PSF for the Euclid VIS instrument. We set the concentration of the subhaloes using a vmax–rmax relation. We then estimate the dark matter subhalo sensitivity in 16 000 simulated strong lens observations with depth and resolution resembling Euclid VIS images. We find that with a 3σ detection threshold, 2.35 per cent of pixels inside twice the Einstein radius are sensitive to subhaloes with a mass Mmax ≤ 1010 M⊙, 0.03 per cent are sensitive to Mmax ≤ 109 M⊙, and the limit of sensitivity is found to be Mmax = 108.8 ± 0.2 M⊙. Using our sensitivity maps and assuming CDM, we estimate that Euclid-like lenses will yield $1.43^{+0.14}_{-0.11}[f_\mathrm{sub}^{-1}]$ detectable subhaloes per lens in the entire sample, but this increases to $35.6^{+0.9}_{-0.9}[f_\mathrm{sub}^{-1}]$ per lens in the most sensitive lenses. Estimates are given in units of the inverse of the substructure mass fraction $f_\mathrm{sub}^{-1}$. Assuming fsub = 0.01, one in every 70 lenses in general should yield a detection, or one in every ∼ three lenses in the most sensitive sample. From 170 000 new strong lenses detected by Euclid, we expect ∼2500 new subhalo detections. We find that the expected number of detectable subhaloes in warm dark matter models only changes relative to cold dark matter for models which have already been ruled out, i.e. those with half-mode masses Mhm > 108 M⊙.

Ultrasensitive visual detection of miRNA-143 using a CRISPR/Cas12a-based platform coupled with hyperbranched rolling circle amplification

MicroRNAs are proposed novel biomarker for noninvasive diagnosis of cancer. miRNA-143 is reported to be associated with the development of prostate cancer. However, detection of miRNAs is still challenging due to their unique characteristics, such as small size and high sequence homology among family members. We here developed a gold nanoparticle (AuNP)-based visual assay that combines with CRISPR/Cas12a-assisted hyperbranched rolling circle amplification (HRCA), which is called HRCA enhanced CRISPR/Cas12a-based assay (HECA) for sensitive detection of miRNA-143. The sequence-specific recognition character of CRISPR/Cas12a and HRCA signal amplification strategy enables the HECA outstanding specificity and sensitivity. In optimal condition, 1 fM miRNA-143 could be detected by naked eyes, and down to aM level with the aid of UV–Vis instrument. The diagnostic performance of the HECA for clinical samples was also evaluated based on the receiving operating characteristic algorithm (ROC), and our results suggest the miR-143 is a promising biomarker for noninvasive diagnosis of prostate cancer. This method is simple in operation and requires minimum instrument. We expect it to be widely applied in clinical diagnostics, especially in low-resource settings.

Effectiveness of a Laparoscopic Training Model for Pediatric Surgeons During COVID-19 Pandemic: A Single-Center Experience.

Background: During COVID-19 pandemic, many restrictions were applied in the field of health care. For this reason, we decided to adopt the laparoscopic simulator Laparo® Analytic to allow the trainees of our pediatric surgery training program to continue their training activity, and we determined its impact on their surgical education. Methods: We used Laparo Analytic Simulator for laparoscopic surgery training among the residents of our center. Fifteen residents from different years of the pediatric surgery program participated in this study. Each participant performed a 2-hour training session per week, consisting of three different exercises: Rubber Bands, Knotting, and Suturing. For each training session, the following parameters were analyzed: training time, economy of movement, smoothness, instrument activity (IA), instrument visibility (IV), and instrument symmetry. Results: Results were collected after the first training session (T0), at 3 months after the beginning of the study (T1) and at 6 months after the beginning of the study (T2). At T2 of training with Laparo Analytic Simulator, residents were able to complete their tasks significantly faster (P = .001) and had a significant improvement in smoothness of movements, IA, IV, and instrument symmetric movements during the tasks analyzed. Conclusion: On the basis of our results, we believe that Laparo analytic is an excellent system to adopt in minimally invasive surgery (MIS) training programs, in particular, during periods of surgical restrictions, as COVID-19 pandemic, or in centers with a limited MIS activity.

Experimental Analysis and Improvements of a Visible Spectrophotometer for Detection of Nano Materials

As the field of nanotechnology advances, there is an increasing need for green nanomaterial identification devices. Recently, a few new studies have reminded us that as nanotechnology gets better and better, so will natural phenomena. As we grow closer to and finally reach the nanoscale, it is feasible that new physical expertise will develop. Developments in the future may allow for new technical advancements. It is the ability of nanotechnology to construct human constructs at the nanoscale that distinguishes it from other fields of science and engineering. Various components, including high-dissociation electron microscopy, centre-ion beam milling tools, and scanner probes, have made this practical. Spectrometers, sometimes known as spectrometers, are used in fabric identification machines. To conclude this inquiry, a nanoparticle scatter spectrometer was devised and built artificially. This study focused on the visible spectrum of spectroscopy because there are a broad number of programmes available for visible optical instruments.

Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions

BackgroundThe efficiency of artificial intelligence as computer‐aided detection (CADe) systems for colorectal polyps has been demonstrated in several randomized trials. However, CADe systems generate many distracting detections, especially during interventions such as polypectomies. Those distracting CADe detections are often induced by the introduction of snares or biopsy forceps as the systems have not been trained for such situations. In addition, there are a significant number of non‐false but not relevant detections, since the polyp has already been previously detected. All these detections have the potential to disturb the examiner's work.ObjectivesDevelopment and evaluation of a convolutional neuronal network that recognizes instruments in the endoscopic image, suppresses distracting CADe detections, and reliably detects endoscopic interventions.MethodsA total of 580 different examination videos from 9 different centers using 4 different processor types were screened for instruments and represented the training dataset (519,856 images in total, 144,217 contained a visible instrument). The test dataset included 10 full‐colonoscopy videos that were analyzed for the recognition of visible instruments and detections by a commercially available CADe system (GI Genius, Medtronic).ResultsThe test dataset contained 153,623 images, 8.84% of those presented visible instruments (12 interventions, 19 instruments used). The convolutional neuronal network reached an overall accuracy in the detection of visible instruments of 98.59%. Sensitivity and specificity were 98.55% and 98.92%, respectively. A mean of 462.8 frames containing distracting CADe detections per colonoscopy were avoided using the convolutional neuronal network. This accounted for 95.6% of all distracting CADe detections.ConclusionsDetection of endoscopic instruments in colonoscopy using artificial intelligence technology is reliable and achieves high sensitivity and specificity. Accordingly, the new convolutional neuronal network could be used to reduce distracting CADe detections during endoscopic procedures. Thus, our study demonstrates the great potential of artificial intelligence technology beyond mucosal assessment.

Euclid: Estimation of the Impact of Correlated Readout Noise for Flux Measurements with the Euclid NISP Instrument* *This paper is published on behalf of the Euclid Consortium.

The Euclid satellite, to be launched by ESA in 2022, will be a major instrument for cosmology for the next decades. Euclid is composed of two instruments: the Visible instrument and the Near Infrared Spectrometer and Photometer (NISP). In this work, we estimate the implications of correlated readout noise in the NISP detectors for the final in-flight flux measurements. Considering the multiple accumulated readout mode, for which the UTR (Up The Ramp) exposure frames are averaged in groups, we derive an analytical expression for the noise covariance matrix between groups in the presence of correlated noise. We also characterize the correlated readout noise properties in the NISP engineering-grade detectors using long dark integrations. For this purpose, we assume a (1/f) α -like noise model and fit the model parameters to the data, obtaining typical values of e − Hz−0.5, and . Furthermore, via realistic simulations and using a maximum likelihood flux estimator we derive the bias between the input flux and the recovered one. We find that using our analytical expression for the covariance matrix of the correlated readout noise we diminish this bias by up to a factor of four with respect to the white noise approximation for the covariance matrix. Finally, we conclude that the final bias on the in-flight NISP flux measurements should still be negligible even in the white readout noise approximation, which is taken as a baseline for the Euclid on-board processing to estimate the on-sky flux.

Uranium MOF derivative based on 2,2',2''-[1 4,6-triyltris(thio)]trisacetic acid as sensor for ruthenium(III) and biomolecules

Two MOFs of uranium derivatives (NH4)[UO2(TTTA)]·2H2O (Complex 1) and [UO2(H2O)5]·[(UO2(TTTA))2] (Complex 2) based on a flexible 2,2',2''-[1,3,5-triazine-2,4,6-triyltris(thio)]trisacetic acid were synthesized using solvothermal techniques with different uranyl metal salts. The structure was explored using single-crystal diffraction and both of the compounds give a one-dimensional chain, then the two compounds were further characterized with IR, TG, UV–vis and other instruments. The fluorescence spectra of the compounds in different solvents have a slight change due to the transform of the electron state, and the luminescence properties showed that those one-dimensional uranium organic frameworks have a favorable sensitive response to Ru3+ and biomolecules (BSA, DA, AA, UA). It indicates that the host-guest interaction plays a crucial role in detecting these molecules, and the compounds could be used as an excellent sensor for the small molecules with a detect limitation of 33.03 ​μM (Complex 2 of UA).

Design and Implementation of Digital Camera Visibility Instrument

Design and Implementation of Digital Camera Visibility Instrument

Synergistic Use of Hyperspectral UV-Visible OMI and Broadband Meteorological Imager MODIS Data for a Merged Aerosol Product

The retrieval of optimal aerosol datasets by the synergistic use of hyperspectral ultraviolet (UV)–visible and broadband meteorological imager (MI) techniques was investigated. The Aura Ozone Monitoring Instrument (OMI) Level 1B (L1B) was used as a proxy for hyperspectral UV–visible instrument data to which the Geostationary Environment Monitoring Spectrometer (GEMS) aerosol algorithm was applied. Moderate-Resolution Imaging Spectroradiometer (MODIS) L1B and dark target aerosol Level 2 (L2) data were used with a broadband MI to take advantage of the consistent time gap between the MODIS and the OMI. First, the use of cloud mask information from the MI infrared (IR) channel was tested for synergy. High-spatial-resolution and IR channels of the MI helped mask cirrus and sub-pixel cloud contamination of GEMS aerosol, as clearly seen in aerosol optical depth (AOD) validation with Aerosol Robotic Network (AERONET) data. Second, dust aerosols were distinguished in the GEMS aerosol-type classification algorithm by calculating the total dust confidence index (TDCI) from MODIS L1B IR channels. Statistical analysis indicates that the Probability of Correct Detection (POCD) between the forward and inversion aerosol dust models (DS) was increased from 72% to 94% by use of the TDCI for GEMS aerosol-type classification, and updated aerosol types were then applied to the GEMS algorithm. Use of the TDCI for DS type classification in the GEMS retrieval procedure gave improved single-scattering albedo (SSA) values for absorbing fine pollution particles (BC) and DS aerosols. Aerosol layer height (ALH) retrieved from GEMS was compared with Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) data, which provides high-resolution vertical aerosol profile information. The CALIOP ALH was calculated from total attenuated backscatter data at 1064 nm, which is identical to the definition of GEMS ALH. Application of the TDCI value reduced the median bias of GEMS ALH data slightly. The GEMS ALH bias approximates zero, especially for GEMS AOD values of >~0.4 and GEMS SSA values of <~0.95. Finally, the AOD products from the GEMS algorithm and MI were used in aerosol merging with the maximum-likelihood estimation method, based on a weighting factor derived from the standard deviation of the original AOD products. With the advantage of the UV–visible channel in retrieving aerosol properties over bright surfaces, the combined AOD products demonstrated better spatial data availability than the original AOD products, with comparable accuracy. Furthermore, pixel-level error analysis of GEMS AOD data indicates improvement through MI synergy.

Experimental governance? The emergence of public sector innovation labs in Latin America

Public sector innovation labs are becoming an increasingly visible instrument in public sector innovation and experimentation. Proponents of these labs claim they can play an important role in addressing pressing social challenges, changing government structures and thereby shaping ideas and practices of future governance. Whilst some research has been carried out on public innovation labs, the focus of inquiry has been primarily on the emergence, models and activities of labs in Europe and North America. This paper attempts to contribute to this growing body of research by bringing forth some of the particularities of this phenomenon as it emerges in Latin America. Using as starting point three experimental interests identified in the available literature, namely increasing flexibilization of public procedures, developing methods for citizen engagement and experimental development of public policies, the paper presents insights and observations from a study of ten public sector innovation labs in Latin America. In particular, our focus is on how these interests are confronted with different realities and therefore what kind of challenges the labs face. Experimentation in Latin America seems to concern not only flexibilization, engagement and public policies; it also includes juggling with the tensions arising from budgetary constraints, the need to weave networks of regional labs to collaborate and finally the need to align their agendas to those of other institutions, while being accountable to different levels of society. This places Latin American labs in a different light than their European and North American counterparts.

Study on the efficacy and mechanism of Fe-TiO2 visible heterogeneous Fenton catalytic degradation of atrazine

In order to improve the catalytic activity and recycling performance of heterogeneous Fenton catalyst, a heterogeneous Fenton catalyst Fe/TiO2 based on TiO2 supported visible light response was prepared by a simple method using TiO2 synthesized by sol-gel method as carrier and ferric nitrate as Fe source. It was characterized by SEM, EDX, XRD, UV–vis instruments. The influencing factors of catalytic degradation of atrazine by visible light heterogeneous Fenton of Fe/TiO2 were studied and the reaction kinetics were fitted. The mineralization degree of atrazine was reflected by the removal rate of TOC. The intermediate products by the degradation of the catalytic system was analyzed and the reaction mechanism of Fe/TiO2–H2O2 visible light system was discussed. The XRD results showed that Fe was highly dispersed on the surface of TiO2 in the form of α-Fe2O3. The Fe/TiO2 catalyst with heterogeneous Fenton and visible light photocatalytic activity was successfully optimized, forbidden bandwidth of Fe/TiO2 after Fe supported was narrower, the scope of light absorption red-shifted, the electron-hole pairs were more generated, and there was a significant synergistic effect between the carrier TiO2 and the supported Fe, which exhibited good oxidation capacity for degradation of 10 mg L−1 atrazine in pH of 3, the concentration of H2O2 was 1.6 mM, and the catalyst was added at 1 g L−1, achieving over 95% removal efficiency within 30 min, and, in the range of pH 3–7, the degradation rate of the reaction for 30 min can be maintained above 75%, which greatly broadened the range of pH application and had good recycling performance. The degradation process conformed to the quasi-first-order kinetic model. Through LC-MS analyzed, 12 intermediate products were formed during the degradation of atrazine, the final products were all cyanuric acid, and then the triazine ring was mineralized into inorganic substances such as CO2, H2O and NO3− by oxidation of ·OH, and the possible degradation pathways were inferred.

Synthesis of (Sn,Zn)(O,S) bimetallic oxysulfide catalyst for the detoxification of Cr+6 in aqueous solution

Herein, we report the bimetallic (Sn,Zn)(O,S) oxysulfide nanocatalyst with a facile method. The Sn-based catalyst with the addition of Zn was synthesized with the proportions of 0, 20, 30 and 50% of Zn to Sn precursors for preparation. The catalysts were characterized by XRD, TEM, SEM XPS, and UV–vis instruments. The nanocatalysts were also tested for the detoxification of Cr+6. The Sn-20 catalyst with 20 M percent of Zn(Ac)2·2H2O showed an excellent performance for the induced photocatalytic reduction of Cr+6 under visible light irradiation at room temperature. The complete reduction of Cr+6 was achieved within 80 min by Sn-20 catalyst. However, 85.6, 97, and 94% of Cr+6 reductions were achieved within 80 min under visible light illumination by Sn-0, Sn-30, and Sn-50 catalysts, respectively. Hence, the bimetallic (Sn,Zn)(O,S) oxysulfide nanocatalyst will be a candidate and highly potential material for the detoxification of Cr(VI)-containing polluted water.