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Acharya S, Adamová D, Adler A, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akindinov A, Al-Turany M, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alocco G, Alt T, Altsybeev I, Anaam MN, Andrei C, Andronic A, Anguelov V, Antinori F, Antonioli P, Apadula N, Aphecetche L, Appelshäuser H, Arata C, Arcelli S, Aresti M, Arnaldi R, Arneiro JGMCA, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Azmi MD, Badalà A, Bae J, Baek YW, Bai X, Bailhache R, Bailung Y, Balbino A, Baldisseri A, Balis B, Banerjee D, Banoo Z, Barbera R, Barile F, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Barreto L, Bartels C, Barth K, Bartsch E, Bastid N, Basu S, Batigne G, Battistini D, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Becht P, Behera D, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat MA, Bhattacharjee B, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Biernat J, Bigot AP, Bilandzic A, Biro G, Biswas S, Bize N, Blair JT, Blau D, Blidaru MB, Bluhme N, Blume C, Boca G, Bock F, Bodova T, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Borquez Carcamo AG, Bossi H, Botta E, Bouziani YEM, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Bysiak SA, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camerini P, Canedo FDM, Carabas M, Carballo AA, Carnesecchi F, Caron R, Carvalho LAD, Castillo Castellanos J, Catalano F, Ceballos Sanchez C, Chakaberia I, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chavez TG, Cheng T, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Chizzali ES, Cho J, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Ciacco M, Cicalo C, Cindolo F, Ciupek MR, Clai G, Colamaria F, Colburn JS, Colella D, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Cot C, Crkovská J, Crochet P, Cruz-Torres R, Cuautle E, Cui P, Dainese A, Danisch MC, Danu A, Das P, Das P, Das S, Dash AR, Dash S, David RMH, De Caro A, de Cataldo G, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Debski RJ, Deja KR, Del Grande R, Dello Stritto L, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Dobrin A, Dönigus B, Dubinski JM, Dubla A, Dudi S, Dupieux P, Durkac M, Dzalaiova N, Eder TM, Ehlers RJ, Eikeland VN, Eisenhut F, Elia D, Erazmus B, Ercolessi F, Erhardt F, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fan W, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrandi L, Ferrer MB, Ferrero A, Ferrero C, Ferretti A, Feuillard VJG, Filova V, Finogeev D, Fionda FM, Flor F, Flores AN, Foertsch S, Fokin I, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Fusayasu T, Gaardhøje JJ, Gagliardi M, Gago AM, Galvan CD, Gangadharan DR, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garner K, Gasik P, Gautam A, Gay Ducati MB, Germain M, Ghimouz A, Ghosh C, Giacalone M, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Glimos E, Goh DJQ, Gonzalez V, González-Trueba LH, Gorgon M, Gotovac S, Grabski V, Graczykowski LK, Grecka E, Grelli A, Grigoras C, Grigoriev V, Grigoryan S, Grosa F, Grosse-Oetringhaus JF, Grosso R, Grund D, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gundem T, Gunji T, Guo W, Gupta A, Gupta R, Guzman SP, Gyulai L, Habib MK, Hadjidakis C, Haider FU, Hamagaki H, Hamdi A, Hamid M, Han Y, Hannigan R, Haque MR, Harris JW, Harton A, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Heckel ST, Hellbär E, Helstrup H, Hemmer M, Herman T, Herrera Corral G, Herrmann F, Herrmann S, Hetland KF, Heybeck B, Hillemanns H, Hills C, Hippolyte B, Hoffmann FW, Hofman B, Hohlweger B, Hong GH, Horst M, Horzyk A, Hosokawa R, Hou Y, Hristov P, Hughes C, Huhn P, Huhta LM, Hulse CV, Humanic TJ, Hutson A, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Isidori T, Islam MS, Ivanov M, Ivanov M, Ivanov V, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jaffe L, Jahnke C, Jakubowska MJ, Janik MA, Janson T, Jercic M, Jia S, Jimenez AAP, Jonas F, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kabus MJ, Kaewjai J, Kalinak P, Kalteyer AS, Kalweit A, Kaplin V, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kidson MB, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim M, Kim S, Kim T, Kimura K, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Kotliarov A, Kovalenko V, Kowalski M, Kozhuharov V, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Krupova DM, Kryshen E, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kumar S, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lee H, Legras G, Lehrbach J, Lemmon RC, León Monzón I, Lesch MM, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Likmeta I, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu DH, Liu J, Lofnes IM, Loizides C, Lokos S, Lomker J, Loncar P, Lopez JA, Lopez X, López Torres E, Lu P, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmoud T, Maire A, Makariev MV, Malaev M, Malfattore G, Malik NM, Malik QW, Malik SK, Malinina L, Mal'Kevich D, Mallick D, Mallick N, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Margagliotti GV, Margotti A, Marín A, Markert C, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mdhluli JE, Mechler AF, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohanty AP, Mohanty B, Mohisin Khan M, Molander MA, Moravcova Z, Mordasini C, Moreira De Godoy DA, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nambrath AI, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Naydenov MN, Neagu A, Negru A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nielsen EG, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Panebianco S, Park H, Park H, Park J, Parkkila JE, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pennisi M, Pereira LG, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrov V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Pozdniakov V, Pradhan KK, Prasad SK, Prasad S, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Pucillo S, Pugelova Z, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Rancien TA, Rasa M, Räsänen SS, Rath R, Rauch MP, Ravasenga I, Read KF, Reckziegel C, Redelbach AR, Redlich K, Reetz CA, Rehman A, Reidt F, Reme-Ness HA, Rescakova Z, Reygers K, Riabov A, Riabov V, Ricci R, Richter M, Riedel AA, Riegler W, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rojas Torres S, Rokita PS, Romanenko G, Ronchetti F, Rosano A, Rosas ED, Roslon K, Rossi A, Roy A, Roy S, Rubini N, Rueda OV, Ruggiano D, Rui R, Rumyantsev B, Russek PG, Russo R, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadhu S, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sajdakova K, Sakai S, Salvan MP, Sambyal S, Sanna I, Saramela TB, Sarkar D, Sarkar N, Sarma P, Sarritzu V, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schröter A, Schukraft J, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabetai A, Shahoyan R, Shangaraev A, Sharma A, Sharma B, Sharma D, Sharma H, Sharma M, Sharma S, Sharma S, Sharma U, Shatat A, Sheibani O, Shigaki K, Shimomura M, Shin J, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simantathammakul T, Simeonov R, Singh B, Singh B, Singh R, Singh R, Singh R, Singh S, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Solheim EH, Song J, Songmoolnak A, Soramel F, Spijkers R, Sputowska I, Staa J, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Stratmann P, Strazzi S, Stylianidis CP, Suaide AAP, Suire C, Sukhanov M, Suljic M, Sultanov R, Sumberia V, Sumowidagdo S, Swain S, Szarka I, Szymkowski M, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tapia Takaki JD, Tapus N, Tarasovicova LA, Tarzila MG, Tassielli GF, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tikhonov A, Timmins AR, Tkacik M, Tkacik T, Toia A, Tokumoto R, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Torres Ramos AG, Trifiró A, Triolo AS, Tripathy S, Tripathy T, Trogolo S, Trubnikov V, Trzaska WH, Trzcinski TP, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Ulukutlu B, Uras A, Urioni M, Usai GL, Vala M, Valle N, van Doremalen LVR, van Leeuwen M, van Veen CA, van Weelden RJG, Vande Vyvre P, Varga D, Varga Z, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Villani A, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Vozniuk N, Vrláková J, Wang C, Wang D, Wang Y, Wegrzynek A, Weiglhofer FT, Wenzel SC, Wessels JP, Weyhmiller SL, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Wright JR, Wu W, Wu Y, Xu R, Yadav A, Yadav AK, Yalcin S, Yamaguchi Y, Yang S, Yano S, Yin Z, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanone F, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang L, Zhang S, Zhang X, Zhang Y, Zhang Z, Zhao M, Zherebchevskii V, Zhi Y, Zhou D, Zhou Y, Zhu J, Zhu Y, Zugravel SC, Zurlo N. Enhanced Deuteron Coalescence Probability in Jets. PHYSICAL REVIEW LETTERS 2023; 131:042301. [PMID: 37566840 DOI: 10.1103/physrevlett.131.042301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/07/2023] [Accepted: 06/05/2023] [Indexed: 08/13/2023]
Abstract
The transverse-momentum (p_{T}) spectra and coalescence parameters B_{2} of (anti)deuterons are measured in p-p collisions at sqrt[s]=13 TeV for the first time in and out of jets. In this measurement, the direction of the leading particle with the highest p_{T} in the event (p_{T}^{lead}>5 GeV/c) is used as an approximation for the jet axis. The event is consequently divided into three azimuthal regions, and the jet signal is obtained as the difference between the toward region, that contains jet fragmentation products in addition to the underlying event (UE), and the transverse region, which is dominated by the UE. The coalescence parameter in the jet is found to be approximately a factor of 10 larger than that in the underlying event. This experimental observation is consistent with the coalescence picture and can be attributed to the smaller average phase-space distance between nucleons in the jet cone as compared with the underlying event. The results presented in this Letter are compared to predictions from a simple nucleon coalescence model, where the phase-space distributions of nucleons are generated using pythia8 with the Monash 2013 tuning, and to predictions from a deuteron production model based on ordinary nuclear reactions with parametrized energy-dependent cross sections tuned on data. The latter model is implemented in pythia8.3. Both models reproduce the observed large difference between in-jet and out-of-jet coalescence parameters, although the almost flat trend of the B_{2}^{Jet} is not reproduced by the models, which instead give a decreasing trend.
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Prasad JVNS, Veni VG, Srinivasarao C, Kundu S, Ramakrishna B, Sammi Reddy K, Singh R, Singh SK, Murai AS, Rohilla PP, Makkar GS, Rampal VK, Grover J, Brar JS, Goyal NK, Jakhar DS, Kiran BVS, Singh VK, Bhaskar S. Can adoption of climate resilient management practices achieve carbon neutrality in traditional green revolution states of Punjab and Haryana? JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 338:117761. [PMID: 37030142 DOI: 10.1016/j.jenvman.2023.117761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 02/24/2023] [Accepted: 03/17/2023] [Indexed: 06/19/2023]
Abstract
Decreasing greenhouse gas (GHG) emissions and enhancing soil carbon (C) sequestration in cropland are necessary to achieve carbon neutrality at national scale. The major objective of this study is to quantify the GHG mitigation potential of adopted climate resilient (CR) practices in CR villages using Ex-ACT tool developed by Food and Agriculture Organization (FAO). Intensively cultivated area of Punjab and Haryana was selected for carrying out this study. In both the states, villages were selected by considering the climate for past 30 years. In the selected villages, a set of CR practices were implemented in annuals, perennials, irrigated rice, fertilizer use, land use change and livestock and quantified the GHG mitigation potential in these villages for next twenty years. The tool predicted that the CR practices adopted were successful in enhancing the overall sink (carbon balance) in all the study villages. The villages of Punjab had recorded higher mitigation potential as compared to the villages of Haryana. The overall sink potential in these villages ranged from -354 to -38309 Mg CO2-eq. The change in sink potential varied from 3.16 to 112% with lowest in Radauri and highest in Badhauchhi kalan village. The sink potential got doubled in Badhauchhi kalan village due to stopping rice straw burning and increase in area under perennials by 25%. The source potential varied from 6.33 to -7.44% across the study villages. Even with the implementation of NICRA, there was increase in source by 5.58 and 6.33% in Killi Nihal Singh Wala and Radauri due to irrigated rice, land use change and livestock. Majorly, rice straw burning was seen in most of the study villages, yet, with proper residue management and adoption of CR practices (mainly intermittent flooding) in rice cultivation resulted in emissions reduction up to 5-26% with enhanced productivity up to 15-18%, which can be considered for scaling up. Fertilizer management reduced the emissions by average of 13% across the study villages. Farm gate emission intensity per ton of milk and rice recorded highest emission intensity compared to annuals and perennials suggesting strict implementation of CR practices in rice cultivation and livestock sector. Implementation and scaling up of CR practices could potentially reduce the emissions and make the village C negative in intensive rice-wheat production system.
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Sharief A, Joshi BD, Kumar V, Singh H, Singh VK, Dar SA, Graham C, Ramesh C, Quyoom I, Thakur M, Sharma LK. Empirical Data Suggest That the Kashmir Musk Deer ( Moschus cupreus, Grubb 1982) Is the One Musk Deer Distributed in the Western Himalayas: An Integration of Ecology, Genetics and Geospatial Modelling Approaches. BIOLOGY 2023; 12:786. [PMID: 37372071 DOI: 10.3390/biology12060786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/25/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023]
Abstract
Insufficient research has been conducted on musk deer species across their distribution range, primarily because of their elusive behaviour and the fact they occupy remote high-altitude habitats in the Himalayas above 2500 m. The available distribution records, primarily derived from ecological studies with limited photographic and indirect evidence, fail to provide comprehensive information on the species distribution. Consequently, uncertainties arise when attempting to determine the presence of specific taxonomic units of musk deer in the Western Himalayas. This lack of knowledge hampers species-oriented conservation efforts, as there need to be more species-specific initiatives focused on monitoring, protecting, and combatting the illegal poaching of musk deer for their valuable musk pods. We used transect surveys (220 trails), camera traps (255 cameras), non-invasive DNA sampling (40 samples), and geospatial modelling (279 occurrence records) to resolve the taxonomic ambiguity, and identify the suitable habitat of musk deer (Moschus spp.) in Uttarkashi District of Uttarakhand and the Lahaul-Pangi landscape of Himachal Pradesh. All the captured images and DNA-based identification results confirmed the presence of only Kashmir musk deer (KDM) (Moschus cupreus) in Uttarakhand and Himachal Pradesh. The results suggest that KMD inhabit a narrow range of suitable habitats (6.9%) of the entire Western Himalayas. Since all evidence indicates that only KMD are present in the Western Himalayas, we suggest that the presence of other species of musk deer (Alpine musk deer and Himalayan musk deer) was wrongly reported. Therefore, future conservation plans and management strategies must focus only on KMD in the Western Himalayas.
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Bal SK, Pramod VP, Sandeep VM, Manikandan N, Sarath Chandran MA, Subba Rao AVM, Vijaya Kumar P, Vanaja M, Singh VK. Identifying appropriate prediction models for estimating hourly temperature over diverse agro-ecological regions of India. Sci Rep 2023; 13:7789. [PMID: 37179371 PMCID: PMC10183030 DOI: 10.1038/s41598-023-34194-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
The present study tests the accuracy of four models in estimating the hourly air temperatures in different agroecological regions of the country during two major crop seasons, kharif and rabi, by taking daily maximum and minimum temperatures as input. These methods that are being used in different crop growth simulation models were selected from the literature. To adjust the biases of estimated hourly temperature, three bias correction methods (Linear regression, Linear scaling and Quantile mapping) were used. When compared with the observed data, the estimated hourly temperature, after bias correction, is reasonably close to the observed during both kharif and rabi seasons. The bias-corrected Soygro model exhibited its good performance at 14 locations, followed by the WAVE model and Temperature models at 8 and 6 locations, respectively during the kharif season. In the case of rabi season, the bias-corrected Temperature model appears to be accurate at more locations (21), followed by WAVE and Soygro models at 4 and 2 locations, respectively. The pooled data analysis showed the least error between estimated (uncorrected and bias-corrected) and observed hourly temperature from 04 to 08 h during kharif season while it was 03 to 08 h during the rabi season. The results of the present study indicated that Soygro and Temperature models estimated hourly temperature with better accuracy at a majority of the locations situated in the agroecological regions representing different climates and soil types. Though the WAVE model worked well at some of the locations, estimation by the PL model was not up to the mark in both kharif and rabi seasons. Hence, Soygro and Temperature models can be used to estimate hourly temperature data during both kharif and rabi seasons, after the bias correction by the Linear Regression method. We believe that the application of the study would facilitate the usage of hourly temperature data instead of daily data which in turn improves the precision in predicting phenological events and bud dormancy breaks, chilling hour requirement etc.
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Srinivasa Rao M, Rama Rao CA, Raju BMK, Subba Rao AVM, Gayatri DLA, Islam A, Prasad TV, Navya M, Srinivas K, Pratibha G, Srinivas I, Prabhakar M, Yadav SK, Bhaskar S, Singh VK, Chaudhari SK. Pest scenario of Helicoverpa armigera (Hub.) on pigeonpea during future climate change periods under RCP based projections in India. Sci Rep 2023; 13:6788. [PMID: 37100788 PMCID: PMC10133267 DOI: 10.1038/s41598-023-32188-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 03/23/2023] [Indexed: 04/28/2023] Open
Abstract
Gram pod borer, Helicoverpa armigera (Hub.) is the major insect pest of pigeonpea and prediction of number of generations (no. of gen.) and generation time (gen. time) using growing degree days (GDD) approach during three future climate change periods viz., Near (NP), Distant (DP) and Far Distant (FDP) periods at eleven major pigeonpea growing locations of India was attempted. Multi-model ensemble of Maximum (Tmax) and Minimum (Tmin) temperature data of four Representative Concentration Pathways viz., RCP 2.6, 4.5, 6.0 and 8.5 of Coupled Model Inter comparison Project 5 (CMIP5) models was adopted here. The increase in projected Tmax and Tmin are significant during 3 climate change periods (CCPs) viz., the NP, DP and FDP over base line (BL) period under four RCP scenarios at all locations and would be higher (4.7-5.1 °C) in RCP 8.5 and in FDP. More number of annual (10-17) and seasonal (5-8) gens. are expected to occur with greater percent increase in FDP (8 to 38%) over base line followed by DP (7 to 22%) and NP (5to 10%) periods with shortened annual gen. time (4 to 27%) across 4 RCPs. The reduction of crop duration was substantial in short, medium and long duration pigeonpeas at all locations across 4 RCPs and 3 CCPs. The seasonal no.of gen. is expected to increase (5 to 35%) with shortened gen. time (4 to 26%) even with reduced crop duration across DP and FDP climate periods of 6.0 and 8.5 RCPs in LD pigeonpea. More no. of gen. of H. armigera with reduced gen. time are expected to occur at Ludhiana, Coimbatore, Mohanpur, Warangal and Akola locations over BL period in 4 RCPs when normal duration of pigeonpeas is considered. Geographical location (66 to 72%), climate period (11 to 19%), RCPs (5-7%) and their interaction (0.04-1%) is vital and together explained more than 90% of the total variation in future pest scenario. The findings indicate that the incidence of H. armigera would be higher on pigeonpea during ensuing CCPs in India under global warming context.
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Gupta A, Sahu N, Singh VK, Sinha RP. Evolutionary aspects of mutation in functional motif and post-translational modifications in SARS-CoV-2 3CLpro (Mpro): an in-silico study. JOURNAL OF PROTEINS AND PROTEOMICS 2023; 14:1-11. [PMID: 37361001 PMCID: PMC10099016 DOI: 10.1007/s42485-023-00105-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/20/2023] [Accepted: 03/30/2023] [Indexed: 06/28/2023]
Abstract
SARS CoV-2 is the virus that caused the COVID-19 pandemic. The main protease is one of the most prominent pharmacological targets for developing anti-COVID-19 therapeutic drugs (Mpro); SARS-CoV-2 replication is dependent on this component. SARS CoV-2's Mpro/cysteine protease is quite identical to SARS CoV-1's Mpro/cysteine protease. However, there is limited information on its structural and conformational properties. The present study aims to perform a complete in silico evaluation of Mpro protein's physicochemical properties. The motif prediction, post-translational modifications, effect of point mutation, and phylogenetic links were studied with other homologs to understand the molecular and evolutionary mechanisms of these proteins. The Mpro protein sequence was obtained in FASTA format from the RCSB Protein Data Bank. The structure of this protein was further characterized and analyzed using standard bioinformatics methods. According to Mpro's in-silico characterization, the protein is a basic, non-polar, and thermally stable globular protein. The outcomes of the phylogenetic and synteny study showed that the protein's functional domain amino acid sequence is substantially conserved. Furthermore, it has undergone many changes at the motif level over time from porcine epidemic diarrhoea virus to SARS-CoV 2, possibly to achieve various functions. Several post-translational modifications (PTMs) were also observed, and the possibilities of changes in Mpro protein exhibit additional orders of peptidase function regulation. During heatmap development, the effect of a point mutation on the Mpro protein was seen. This protein's structural characterization will aid in a better understanding of its function and mechanism of action. Supplementary Information The online version contains supplementary material available at 10.1007/s42485-023-00105-9.
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Dubey SK, Rai SN, Singh VK, Bajpeyee AK, Singh MP. Evaluation of Pleurotus Mushroom Effects on Histopathological Changes in Organs of Diabetic Rats. DISEASE MARKERS 2023; 2023:1520132. [PMID: 37091893 PMCID: PMC10121342 DOI: 10.1155/2023/1520132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/20/2023] [Accepted: 03/22/2023] [Indexed: 04/25/2023]
Abstract
Diabetes mellitus (DM) is a metabolic disorder that can be categorized mainly into type 1 and type 2. Diabetes type 1 is caused due to β-cell destruction, whereas type 2 is caused by the resistance of cell receptors. Many therapies are available for the management of diabetes, but they have some side effects, and as a result of this, people are attracted to natural treatments. Pleurotus mushrooms are well documented for their medicinal attributes and their role in the treatment of diseases like cancer, infectious disease, neurodiseases, and inflammatory disease. The protective mechanism of the Pleurotus fossulatus (P. fossulatus) mushroom and its detailed histological study on kidneys and the liver in diabetic conditions were unexplored. The present study evaluated the effects of P. fossulatus aqueous extract on histological changes in the diabetic rat model. Male Wistar albino rats were used to create the diabetic model by using streptozotocin (STZ) intraperitoneal (IP) injection. The animals were separated into five different groups, with six animals in each. Only group I, animals that did not receive STZ, was considered a normal control. Group II was a diabetic control and received normal saline, and group III was a drug control and received metformin as a standard drug. Groups IV and V were dosing groups, which received the aqueous extract of P. fossulatus in 250 mg/kg and 500 mg/kg of body weight concentrations, labeled as T1 and T2 groups, respectively. The T1 and T2 groups clearly showed their potential to reverse the histopathological changes in the kidney and liver. However, the T2 group was more effective than the T1 group, as results indicate that functions of the glomerulus and its structural deformity were restored to their near-natural form in the T2 group. In the case of the liver, the histological changes like the dilatation of sinusoids, more numbers of the Kupffer cell formation, and necrosis were restored in the T2 group. All these results proved the potential of P. fossulatus against the side effects of diabetes. It could protect the organs from developing diabetic nephropathy (DN) and liver-related diseases like cirrhosis and nonalcoholic fatty liver disease (NAFLD).
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Samim AR, Singh VK, Vaseem H. Assessment of hazardous impact of nickel oxide nanoparticles on biochemical and histological parameters of gills and liver tissues of Heteropneustes fossilis. J Trace Elem Med Biol 2022; 74:127059. [PMID: 35987181 DOI: 10.1016/j.jtemb.2022.127059] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/31/2022] [Accepted: 08/02/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND The aim of the present study was to assess the hazardous impact of nickel oxide nanoparticles (NiO NPs) on gills and liver of Heteropneustes fossilis. METHODS Fishes were treated with four concentrations of NiO NPs for a period of 14 days. Nickel accumulation, lipid peroxidation, antioxidant enzymes activities (superoxide dismutase, catalase, glutathione s transferase & glutathione reductase), liver enzymes activities (aspartate amino transferase, alanine transaminase, & alkaline phosphatase), Na+/K+ ATPase activity, FTIR, metallothionein content, ethoxyresorufin-o-deethylase activity, immunohistochemistry, histology and scanning electron microscopy were analyzed in both gills and liver tissues. RESULTS Results revealed increased accumulation of nickel in both the tissues of exposed fishes. Lipid peroxidation and activities of different antioxidant enzymes increased (except superoxide dismutase) in both the tissues after exposure. Fluctuations in liver enzymes activities and variation in the activity of Na+/K+ ATPase were also observed. FTIR data revealed shift in peaks position in both the tissues. Level of metallothionein and its expression as well as activity of ethoxyresorufin-o-deethylase and expression of CYP1A also increased in both the target tissues of treated fishes. Furthermore, histological investigation and scanning electron microscopy showed structural damages in gills as well as liver tissues of exposed fishes. CONCLUSION Our results suggest that NiO NPs cause deteriorating effects on the gill and liver tissues of fish, therefore effluents containing these nanoparticles should be treated before their release into water bodies.
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Yadav N, Kumar K, Singh VK, Rai S, Blahatia K, Das A, Jana T. Newly designed acrylamide derivative-based pH-responsive hydrogel-urease bioconjugates: synthesis and catalytic urea hydrolysis. SOFT MATTER 2022; 18:8647-8655. [PMID: 36349658 DOI: 10.1039/d2sm00958g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Jack bean urease, the first nickel metalloenzyme, and crystallized enzymes have historical significance due to their several applications in the biomedical and other fields. For the first time, cross-linker free pH-responsive hydrogel-urease bioconjugates have been reported. Without the use of divinyl benzene or divinyl acrylamide derivatives, urease was immobilized inside the hydrogel matrix and various grades of bioconjugates were synthesized. The hydrogel-urease bioconjugate exhibits excellent swelling-deswelling and pH-responsive characteristics without affecting the urease enzyme. The pH-responsive bioconjugates were characterized by FT-IR, powder XRD, SEM, TGA, and UV-vis spectroscopy. Urea hydrolysis and enzyme affinity have been investigated at pH 4, pH 7, and pH 11 using bioconjugates and free urease. At basic pH, BCs showed excellent enzyme activity. In summary, this technique is effective for stabilizing biomacromolecules at different pHs for a variety of real applications.
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Bisht D, Kumar N, Singh Y, Malik R, Djalovic I, Dhaka NS, Pal N, Balyan P, Mir RR, Singh VK, Dhankher OP, Kumar U, Kumar S. Effect of stem structural characteristics and cell wall components related to stem lodging resistance in a newly identified mutant of hexaploid wheat ( Triticum aestivum L.). FRONTIERS IN PLANT SCIENCE 2022; 13:1067063. [PMID: 36483946 PMCID: PMC9723335 DOI: 10.3389/fpls.2022.1067063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 11/07/2022] [Indexed: 05/31/2023]
Abstract
In wheat, lodging is affected by anatomical and chemical characteristics of the stem cell wall. Plant characteristics determining the stem strength were measured in lodging tolerant mutant (PMW-2016-1) developed through mutation breeding utilizing hexaploid wheat cultivar, DPW-621-50. Various anatomical features, chemical composition, and mechanical strength of the culms of newly developed lodging-tolerant mutant (PMW-2016-1) and parent (DPW-621-50), were examined by light microscopy, the Klason method, prostate tester coupled with a Universal Tensile Machine, and Fourier Transform Infrared Spectroscopy. Significant changes in the anatomical features, including the outer radius of the stem, stem wall thickness, and the proportions of various tissues, and vascular bundles were noticed. Chemical analysis revealed that the lignin level in the PMW-2016-1 mutant was higher and exhibited superiority in stem strength compared to the DPW-621-50 parent line. The force (N) required to break the internodes of mutant PMW-2016-1 was higher than that of DPW-621-50. The results suggested that the outer stem radius, stem wall thickness, the proportion of sclerenchyma tissues, the number of large vascular bundles, and lignin content are important factors that affect the mechanical strength of wheat stems, which can be the key parameters for the selection of varieties having higher lodging tolerance. Preliminary studies on the newly identified mutant PMW-2016-1 suggested that this mutant may possess higher lodging tolerance because it has a higher stem strength than DPW-621-50 and can be used as a donor parent for the development of lodging-tolerant wheat varieties.
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Singh A, Kumar V, Mishra A, Singh VK. Targeting the HIV-1 Tat and Human Tat Protein Complex through Natural
Products: An In Silico Docking and Molecular Dynamics Simulation
Approach. LETT DRUG DES DISCOV 2022. [DOI: 10.2174/1570180819666220330122542] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:
Tat protein is considered essential for substantial HIV-1 replication, and is also
required to break HIV-1 latency, resulting in productive HIV replication. The multifaceted regulatory role
of HIV Tat and the fact that it is expressed in the early stages of HIV infection justify its potential as an
anti-HIV drug target.
Objective:
The present study was undertaken with the aim to target HIV-1 Tat protein with natural compounds
which could help in identifying potential inhibitors against HIV-1 Tat.
Methods:
In this study, we compared the binding of Tat protein and Human P-TEFb Tat protein complex
(TPC) with phyto-steroids and terpenes to evaluate their potential for HIV-1 treatment. The docking ability
of plant products with HIV-1 Tat and TPC was studied with respect to dissociation constant, geometric
shape complementary score, approximate interface area, and binding energy using Patch dock and
YASARA. Molecular dynamics simulation was set up to investigate the interactions of the natural compounds
with Tat protein and human tat protein complex (TPC).
Results:
The binding energy and dissociation constant of Diosgenin, Catharanthine and Ginkgolide A
with Tat and TPC were comparable to antiretroviral drugs, Maraviroc and Emtricitabine. The natural
products, Diosgenin, Ginkgolide A and Catharanthine, showed the highest binding energy and were stable
with Tat protein and TPC in the entire MD simulation run.
Conclusion:
The natural products, Diosgenin, Ginkgolide A and Catharanthine, showed highest binding
energy and were stable with Tat protein and TPC in the entire MD simulation run. The binding energy
and dissociation constant of Diosgenin, Catharanthine and Ginkgolide A with Tat and TPC were comparable
to antiretroviral drugs, Maraviroc and Emtricitabine.
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Subba Rao AVM, Sarath Chandran MA, Bal SK, Pramod VP, Sandeep VM, Manikandan N, Raju BMK, Prabhakar M, Islam A, Naresh Kumar S, Singh VK. Evaluating area-specific adaptation strategies for rainfed maize under future climates of India. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 836:155511. [PMID: 35490805 DOI: 10.1016/j.scitotenv.2022.155511] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 04/20/2022] [Accepted: 04/21/2022] [Indexed: 06/14/2023]
Abstract
This study investigates the spatio-temporal changes in maize yield under projected climate and identified the potential adaptation measures to reduce the negative impact. Future climate data derived from 30 general circulation models were used to assess the impact of future climate on yield in 16 major maize growing districts of India. DSSAT model was used to simulate maize yield and evaluate adaptation strategies during mid (2040-69) and end-centuries (2070-99) under RCP 4.5 and 8.5. Genetic coefficients were calibrated and validated for each of the study locations. The projected climate indicated a substantial increase in mean seasonal maximum (0.9-6.0 °C) and minimum temperatures (1.1-6.1 °C) in the future (the range denotes the lowest and highest change during all the four future scenarios). Without adaptation strategies, climate change could reduce maize yield in the range of 16% (Tumkur) to 46% (Jalandhar) under RCP 4.5 and 21% (Tumkur) to 80% (Jalandhar) under RCP 8.5. Only at Dharwad, the yield could remain slightly higher or the same compared to the baseline period (1980-2009). Six adaptation strategies were evaluated (delayed sowing, increase in fertilizer dose, supplemental irrigation, and their combinations) in which a combination of those was found to be effective in majority of the districts. District-specific adaptation strategies were identified for each of the future scenarios. The findings of this study will enable in planning adaptation strategies to minimize the negative impact of projected climate in major maize growing districts of India.
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Tiwari K, Gangopadhyay A, Singh G, Singh VK, Singh SK. Ab initio modelling of an essential mammalian protein: Transcription Termination Factor 1 (TTF1). J Biomol Struct Dyn 2022:1-10. [PMID: 35947129 DOI: 10.1080/07391102.2022.2109754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
Transcription Termination Factor 1 (TTF1) is an essential mammalian protein that regulates transcription, replication fork arrest, DNA damage repair, chromatin remodelling etc. TTF1 interacts with numerous cellular proteins to regulate various cellular phenomena which play a crucial role in maintaining normal cellular physiology, and dysregulation of this protein has been reported to induce oncogenic transformation of the cells. However, despite its key role in many cellular processes, the complete structure of human TTF1 has not been elucidated to date, neither experimentally nor computationally. Therefore, understanding the structure of human TTF1 is crucial for studying its functions and interactions with other cellular factors. The aim of this study was to construct the complete structure of human TTF1 protein, using molecular modelling approaches. Owing to the lack of suitable homologues in the Protein Data Bank (PDB), the complete structure of human TTF1 was constructed by ab initio modelling. The structural stability was determined with molecular dynamics (MD) simulations in explicit solvent, and trajectory analyses. The frequently occurring conformation of human TTF1 was selected by trajectory clustering, and the central residues of this conformation were determined by centrality analyses of the Residue Interaction Network (RIN) of TTF1. Two residue clusters, one in the oligomerization domain and other in the C-terminal domain, were found to be central to the structural stability of human TTF1. To the best of our knowledge, this study is the first to report the complete structure of this essential mammalian protein, and the results obtained herein will provide structural insights for future research including that in cancer biology and related studies.Communicated by Ramaswamy H. Sarma.
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Gupta A, Sahu N, Singh AP, Singh VK, Singh SC, Upadhye VJ, Mathew AT, Kumar R, Sinha RP. Exploration of Novel Lichen Compounds as Inhibitors of SARS-CoV-2 Mpro: Ligand-Based Design, Molecular Dynamics, and ADMET Analyses. Appl Biochem Biotechnol 2022; 194:6386-6406. [PMID: 35921031 PMCID: PMC9346229 DOI: 10.1007/s12010-022-04103-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2022] [Indexed: 11/02/2022]
Abstract
In the year 2019-2020, the whole world witnessed the spread of a disease called COVID-19 caused by SARS-CoV-2. A number of effective drugs and vaccine has been formulated to combat this outbreak. For the development of anti-COVID-19 drugs, the main protease (Mpro) is considered a key target as it has rare mutations and plays a crucial role in the replication of the SARS CoV-2. In this study, a library of selected lichen compounds was prepared and used for virtual screening against SARS-CoV-2 Mpro using molecular docking, and several hits as potential inhibitors were identified. Remdesivir was used as a standard inhibitor of Mpro for its comparison with the identified hits. Twenty-six compounds were identified as potential hits against Mpro, and these were subjected to in silico ADMET property prediction, and the compounds having favorable properties were selected for further analysis. After manual inspection of their interaction with the binding pocket of Mpro and binding affinity score, four compounds, namely, variolaric acid, cryptostictinolide, gyrophoric acid, and usnic acid, were selected for molecular dynamics study to evaluate the stability of complex. The molecular dynamics results indicated that except cryptostictinolide, all the three compounds made a stable complex with Mpro throughout a 100-ns simulation time period. Among all, usnic acid seems to be more stable and effective against SARS-CoV-2 Mpro. In summary, our findings suggest that usnic acid, variolaric acid, and gyrophoric acid have potential to inhibit SARS-Cov-2 Mpro and act as a lead compounds for the development of antiviral drug candidates against SARS-CoV-2.
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Rajanna GA, Manna S, Singh A, Babu S, Singh VK, Dass A, Chakraborty D, Patanjali N, Chopra I, Banerjee T, Kumar A, Khandelwal A, Parmar BS. Biopolymeric superabsorbent hydrogels enhance crop and water productivity of soybean-wheat system in Indo-Gangetic plains of India. Sci Rep 2022; 12:11955. [PMID: 35831395 PMCID: PMC9279312 DOI: 10.1038/s41598-022-16049-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 07/04/2022] [Indexed: 11/08/2022] Open
Abstract
Environmental crises, declining factor productivity, and shrinking natural resource is a threat to global agricultural sustainability. The task is much more daunting in the Indo-Gangetic northern plains of India, where depletion of the underground water table and erratic rains due to the changing climate pose a major challenge to agriculture. To address these challenges a field investigation was carried out during 2016-2018 to test the efficacy of biopolymeric superabsorbent hydrogels namely Pusa Hydrogel (P-hydrogel: a semi-synthetic cellulose derivative-based product) and kaolin derivative of Pusa Hydrogel (K-hydrogel: semi-synthetic cellulose derivative) to assess their effect on crop and water productivity, soil moisture, root dynamics, and economics of soybean (Glycine max L.)-wheat (Triticum aestivum L.) system under three irrigation regimes namely full irrigation, limited irrigation and rainfed. The results revealed that the full irrigation along with P-hydrogel led to enhanced grain yield, biomass yield, and water productivity (WP) of soybean (1.61-10.5%, 2.2-9.5%, and 2.15-21.8%, respectively) and wheat (11.1-18.3%, 12-54% and 11.1-13.1%, respectively) over control plots. Likewise, under water stressed plots of rainfed conditions with P-hydrogel exhibited 52.7 and 20.6% higher system yields (in terms of wheat equivalent yield) over control and other combinations during the respective study years. Whereas the magnitude of increase in system yield under limited irrigation with P-hydrogel was ~ 15.1% and under full irrigation with P-hydrogel was 8.0-19.4%. Plots treated with P-hydrogel retained 3.0-5.0% higher soil moisture compared to no-hydrogel plots, while K-hydrogel treated plots held the lower moisture (4.0-6.0%) than the control. In terms of profitability, full irrigation along with P-hydrogel plots registered 12.97% higher economic returns over control. The results suggested that P-hydrogel (2.5 kg ha-1) reduces runoff water loss in full irrigation applied plots and retained more water, where loss of water is more thus reduces number of irrigations. Hence P-hydrogel with irrigation water is a viable option for sustainable production of soybean-wheat systems in the Indo-Gangetic plains of India and other similar eco-regions of the world.
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Katiyar SK, Gaur SN, Solanki RN, Sarangdhar N, Suri JC, Kumar R, Khilnani GC, Chaudhary D, Singla R, Koul PA, Mahashur AA, Ghoshal AG, Behera D, Christopher DJ, Talwar D, Ganguly D, Paramesh H, Gupta KB, Kumar T M, Motiani PD, Shankar PS, Chawla R, Guleria R, Jindal SK, Luhadia SK, Arora VK, Vijayan VK, Faye A, Jindal A, Murar AK, Jaiswal A, M A, Janmeja AK, Prajapat B, Ravindran C, Bhattacharyya D, D'Souza G, Sehgal IS, Samaria JK, Sarma J, Singh L, Sen MK, Bainara MK, Gupta M, Awad NT, Mishra N, Shah NN, Jain N, Mohapatra PR, Mrigpuri P, Tiwari P, Narasimhan R, Kumar RV, Prasad R, Swarnakar R, Chawla RK, Kumar R, Chakrabarti S, Katiyar S, Mittal S, Spalgais S, Saha S, Kant S, Singh VK, Hadda V, Kumar V, Singh V, Chopra V, B V. Indian Guidelines on Nebulization Therapy. Indian J Tuberc 2022; 69 Suppl 1:S1-S191. [PMID: 36372542 DOI: 10.1016/j.ijtb.2022.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 06/03/2022] [Accepted: 06/09/2022] [Indexed: 06/16/2023]
Abstract
Inhalational therapy, today, happens to be the mainstay of treatment in obstructive airway diseases (OADs), such as asthma, chronic obstructive pulmonary disease (COPD), and is also in the present, used in a variety of other pulmonary and even non-pulmonary disorders. Hand-held inhalation devices may often be difficult to use, particularly for children, elderly, debilitated or distressed patients. Nebulization therapy emerges as a good option in these cases besides being useful in the home care, emergency room and critical care settings. With so many advancements taking place in nebulizer technology; availability of a plethora of drug formulations for its use, and the widening scope of this therapy; medical practitioners, respiratory therapists, and other health care personnel face the challenge of choosing appropriate inhalation devices and drug formulations, besides their rational application and use in different clinical situations. Adequate maintenance of nebulizer equipment including their disinfection and storage are the other relevant issues requiring guidance. Injudicious and improper use of nebulizers and their poor maintenance can sometimes lead to serious health hazards, nosocomial infections, transmission of infection, and other adverse outcomes. Thus, it is imperative to have a proper national guideline on nebulization practices to bridge the knowledge gaps amongst various health care personnel involved in this practice. It will also serve as an educational and scientific resource for healthcare professionals, as well as promote future research by identifying neglected and ignored areas in this field. Such comprehensive guidelines on this subject have not been available in the country and the only available proper international guidelines were released in 1997 which have not been updated for a noticeably long period of over two decades, though many changes and advancements have taken place in this technology in the recent past. Much of nebulization practices in the present may not be evidence-based and even some of these, the way they are currently used, may be ineffective or even harmful. Recognizing the knowledge deficit and paucity of guidelines on the usage of nebulizers in various settings such as inpatient, out-patient, emergency room, critical care, and domiciliary use in India in a wide variety of indications to standardize nebulization practices and to address many other related issues; National College of Chest Physicians (India), commissioned a National task force consisting of eminent experts in the field of Pulmonary Medicine from different backgrounds and different parts of the country to review the available evidence from the medical literature on the scientific principles and clinical practices of nebulization therapy and to formulate evidence-based guidelines on it. The guideline is based on all possible literature that could be explored with the best available evidence and incorporating expert opinions. To support the guideline with high-quality evidence, a systematic search of the electronic databases was performed to identify the relevant studies, position papers, consensus reports, and recommendations published. Rating of the level of the quality of evidence and the strength of recommendation was done using the GRADE system. Six topics were identified, each given to one group of experts comprising of advisors, chairpersons, convenor and members, and such six groups (A-F) were formed and the consensus recommendations of each group was included as a section in the guidelines (Sections I to VI). The topics included were: A. Introduction, basic principles and technical aspects of nebulization, types of equipment, their choice, use, and maintenance B. Nebulization therapy in obstructive airway diseases C. Nebulization therapy in the intensive care unit D. Use of various drugs (other than bronchodilators and inhaled corticosteroids) by nebulized route and miscellaneous uses of nebulization therapy E. Domiciliary/Home/Maintenance nebulization therapy; public & health care workers education, and F. Nebulization therapy in COVID-19 pandemic and in patients of other contagious viral respiratory infections (included later considering the crisis created due to COVID-19 pandemic). Various issues in different sections have been discussed in the form of questions, followed by point-wise evidence statements based on the existing knowledge, and recommendations have been formulated.
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Kumar J, Kumar V, Singh VK, Fahim F, Nimal AT. Temperature based rapid SAW humidity sensor. DEFENCE SCI J 2022. [DOI: 10.14429/dsj.72.17280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
This paper investigates the effect of temperature on the sensitivity of a thin-film Polyvinyl alcohol (PVA) based SAW humidity sensor. A PVA coated 433.92 MHz SAW resonator-based humidity sensor was fabricated and tested with different levels of humidity (0.5 to 95% RH) at different operating temperatures (10°C to 70°C). The sensor response was recorded through in-house developed data acquisition software and it was observed that PVA thin film coated SAW sensor shows the maximum sensitivity for trace level moisture detection at a lower temperature (≤10 °C). The sensor sensitivity has been recorded >400Hz/% RH for trace level detection (0.5–30% RH). It has been observed that sensor sensitivity deteriorates when temperature increased to 40 °C from 10 °C. The sensor has a fast response (~1s) and recovery time (<3s) for trace level humidity detection. The proposed sensor can be used in many applications, including fabrication of electronic devices, IC fabrication, pharmaceutical, textile industries, food processing, semiconductor device fabrication, and packaging.
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Ratnani S, Singh VK, Agnihotri NK. A Derivative Spectrophotometric Method for the Simultaneous Determination of Cadmium and Cobalt in Environmental and Standard Samples. JOURNAL OF ANALYTICAL CHEMISTRY 2022. [DOI: 10.1134/s1061934822070103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Acharya S, Adamová D, Adler A, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akbar Z, Akindinov A, Al-Turany M, Alam SN, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alt T, Altenkamper L, Altsybeev I, Anaam MN, Andrei C, Andreou D, Andronic A, Angeletti M, Anguelov V, Antinori F, Antonioli P, Anuj C, Apadula N, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Aziz S, Azmi MD, Badalà A, Baek YW, Bai X, Bailhache R, Bailung Y, Bala R, Balbino A, Baldisseri A, Balis B, Ball M, Banerjee D, Barbera R, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat IR, Bhat MA, Bhattacharjee B, Bhattacharya P, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Biernat J, Bilandzic A, Biro G, Biswas S, Blair JT, Blau D, Blidaru MB, Blume C, Boca G, Bock F, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Bossi H, Botta E, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Butt JB, Bysiak SA, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camacho RS, Camerini P, Canedo FDM, Carnesecchi F, Caron R, Castillo Castellanos J, Casula EAR, Catalano F, Ceballos Sanchez C, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chauvin A, Chavez TG, Cheng T, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Cicalo C, Cifarelli L, Cindolo F, Ciupek MR, Clai G, Cleymans J, Colamaria F, Colburn JS, Colella D, Collu A, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Crochet P, Cruz-Torres R, Cuautle E, Cui P, Cunqueiro L, Dainese A, Danisch MC, Danu A, Das I, Das P, Das P, Das S, Dash S, De S, De Caro A, de Cataldo G, De Cilladi L, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Degenhardt HF, Deja KR, Dello Stritto L, Delsanto S, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Do J, Dobrin A, Dönigus B, Dordic O, Dubey AK, Dubla A, Dudi S, Dukhishyam M, Dupieux P, Dzalaiova N, Eder TM, Ehlers RJ, Eikeland VN, Eisenhut F, Elia D, Erazmus B, Ercolessi F, Erhardt F, Erokhin A, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrero A, Ferretti A, Feuillard VJG, Figiel J, Filchagin S, Finogeev D, Fionda FM, Fiorenza G, Flor F, Flores AN, Foertsch S, Foka P, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Gaardhøje JJ, Gagliardi M, Gago AM, Gal A, Galvan CD, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gasik P, Gauger EF, Gautam A, Gay Ducati MB, Germain M, Ghosh P, Ghosh SK, Giacalone M, Gianotti P, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Goh DJQ, Gonzalez V, González-Trueba LH, Gorbunov S, Gorgon M, Görlich L, Gotovac S, Grabski V, Graczykowski LK, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan A, Grigoryan S, Groettvik OS, Grosa F, Grosse-Oetringhaus JF, Grosso R, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gunji T, Guo W, Gupta A, Gupta R, Guzman SP, Gyulai L, Habib MK, Hadjidakis C, Halimoglu G, Hamagaki H, Hamar G, Hamid M, Hannigan R, Haque MR, Harlenderova A, Harris JW, Harton A, Hasenbichler JA, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Hayashi S, Heckel ST, Hellbär E, Helstrup H, Herman T, Hernandez EG, Herrera Corral G, Herrmann F, Hetland KF, Hillemanns H, Hills C, Hippolyte B, Hofman B, Hohlweger B, Honermann J, Hong GH, Horak D, Hornung S, Horzyk A, Hosokawa R, Hou Y, Hristov P, Hughes C, Huhn P, Humanic TJ, Hushnud H, Husova LA, Hutson A, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Islam MS, Ivanov M, Ivanov V, Izucheev V, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jahnke C, Jakubowska MJ, Jalotra A, Janik MA, Janson T, Jercic M, Jevons O, Jimenez AAP, Jonas F, Jones PG, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kaewjai J, Kalinak P, Kalweit A, Kaplin V, Kar S, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kazantsev A, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khabanova Z, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim J, Kim J, Kim M, Kim S, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Köhler MK, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Koska L, Kotliarov A, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Kryshen E, Krzewicki M, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Lapidus K, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lehrbach J, Lemmon RC, León Monzón I, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu DH, Liu J, Lofnes IM, Loginov V, Loizides C, Loncar P, Lopez JA, Lopez X, López Torres E, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmoud T, Maire A, Malaev M, Malik NM, Malik QW, Malinina L, Mal'Kevich D, Mallick N, Malzacher P, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Mareš J, Margagliotti GV, Margotti A, Marín A, Markert C, Marquard M, Martin NA, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mazzoni MA, Mdhluli JE, Mechler AF, Meddi F, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohanty AP, Mohanty B, Mohisin Khan M, Molander MA, Moravcova Z, Mordasini C, Moreira De Godoy DA, Moreno LAP, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Neagu A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Osako T, Oskarsson A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Pan J, Panebianco S, Pareek P, Park J, Parkkila JE, Pathak SP, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Porter J, Pozdniakov V, Prasad SK, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Ramos AGT, Rancien TA, Raniwala R, Raniwala S, Räsänen SS, Rath R, Ravasenga I, Read KF, Redelbach AR, Redlich K, Rehman A, Reichelt P, Reidt F, Reme-Ness HA, Renfordt R, Rescakova Z, Reygers K, Riabov A, Riabov V, Richert T, Richter M, Riegler W, Riggi F, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rokita PS, Ronchetti F, Rosano A, Rosas ED, Rossi A, Rotondi A, Roy A, Roy P, Roy S, Rubini N, Rueda OV, Rui R, Rumyantsev B, Russek PG, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sakai S, Sambyal S, Samsonov V, Sarkar D, Sarkar N, Sarma P, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schukraft J, Schutz Y, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabanov A, Shabetai A, Shahoyan R, Shaikh W, Shangaraev A, Sharma A, Sharma H, Sharma M, Sharma N, Sharma S, Sharma U, Sheibani O, Shigaki K, Shimomura M, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simantathammakul T, Simonetti G, Singh B, Singh R, Singh R, Singh R, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Soncco C, Song J, Songmoolnak A, Soramel F, Sorensen S, Sputowska I, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Storetvedt MM, Stylianidis CP, Suaide AAP, Sugitate T, Suire C, Sukhanov M, Suljic M, Sultanov R, Šumbera M, Sumberia V, Sumowidagdo S, Swain S, Szabo A, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tarhini M, Tarzila MG, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tieulent R, Tikhonov A, Timmins AR, Tkacik M, Toia A, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Torres SR, Trifiró A, Tripathy S, Tripathy T, Trogolo S, Trombetta G, Trubnikov V, Trzaska WH, Trzcinski TP, Trzeciak BA, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Uras A, Urioni M, Usai GL, Vala M, Valle N, Vallero S, van der Kolk N, van Doremalen LVR, van Leeuwen M, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vargas A, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Voscek D, Vozniuk N, Vrláková J, Wagner B, Wang C, Wang D, Weber M, Weelden RJGV, Wegrzynek A, Wenzel SC, Wessels JP, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Witt WE, Wright JR, Wu W, Wu Y, Xu R, Yadav AK, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yokoyama H, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanoli HJC, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang S, Zhang X, Zhang Y, Zherebchevskii V, Zhi Y, Zhigareva N, Zhou D, Zhou Y, Zhu J, Zhu Y, Zichichi A, Zinovjev G, Zurlo N. Hypertriton Production in p-Pb Collisions at sqrt[s_{NN}]=5.02 TeV. PHYSICAL REVIEW LETTERS 2022; 128:252003. [PMID: 35802430 DOI: 10.1103/physrevlett.128.252003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 01/28/2022] [Accepted: 06/03/2022] [Indexed: 06/15/2023]
Abstract
The study of nuclei and antinuclei production has proven to be a powerful tool to investigate the formation mechanism of loosely bound states in high-energy hadronic collisions. The first measurement of the production of _{Λ}^{3}H in p-Pb collisions at sqrt[s_{NN}]=5.02 TeV is presented in this Letter. Its production yield measured in the rapidity interval -1<y<0 for the 40% highest-multiplicity p-Pb collisions is dN/dy=[6.3±1.8(stat)±1.2(syst)]×10^{-7}. The measurement is compared with the expectations of statistical hadronization and coalescence models, which describe the nucleosynthesis in hadronic collisions. These two models predict very different yields of the hypertriton in charged particle multiplicity environments relevant to small collision systems such as p-Pb, and therefore the measurement of dN/dy is crucial to distinguish between them. The precision of this measurement leads to the exclusion with a significance larger than 6.9σ of some configurations of the statistical hadronization model, thus constraining the theory behind the production of loosely bound states at hadron colliders.
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Acharya S, Adamová D, Adler A, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akbar Z, Akindinov A, Al-Turany M, Alam SN, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alt T, Altenkamper L, Altsybeev I, Anaam MN, Andrei C, Andreou D, Andronic A, Angeletti M, Anguelov V, Antinori F, Antonioli P, Anuj C, Apadula N, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Aziz S, Azmi MD, Badalà A, Baek YW, Bai X, Bailhache R, Bailung Y, Bala R, Balbino A, Baldisseri A, Balis B, Ball M, Banerjee D, Barbera R, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat IR, Bhat MA, Bhattacharjee B, Bhattacharya P, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Biernat J, Bilandzic A, Biro G, Biswas S, Blair JT, Blau D, Blidaru MB, Blume C, Boca G, Bock F, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Bossi H, Botta E, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Butt JB, Bysiak SA, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camacho RS, Camerini P, Canedo FDM, Carnesecchi F, Caron R, Castillo Castellanos J, Casula EAR, Catalano F, Ceballos Sanchez C, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chauvin A, Chavez TG, Cheng T, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Cicalo C, Cifarelli L, Cindolo F, Ciupek MR, Clai G, Cleymans J, Colamaria F, Colburn JS, Colella D, Collu A, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Crochet P, Cruz-Torres R, Cuautle E, Cui P, Cunqueiro L, Dainese A, Danisch MC, Danu A, Das I, Das P, Das P, Das S, Dash S, De S, De Caro A, de Cataldo G, De Cilladi L, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Degenhardt HF, Deja KR, Dello Stritto L, Delsanto S, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Do J, Dobrin A, Dönigus B, Dordic O, Dubey AK, Dubla A, Dudi S, Dukhishyam M, Dupieux P, Dzalaiova N, Eder TM, Ehlers RJ, Eikeland VN, Eisenhut F, Elia D, Erazmus B, Ercolessi F, Erhardt F, Erokhin A, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrero A, Ferretti A, Feuillard VJG, Figiel J, Filchagin S, Finogeev D, Fionda FM, Fiorenza G, Flor F, Flores AN, Foertsch S, Foka P, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Gaardhøje JJ, Gagliardi M, Gago AM, Gal A, Galvan CD, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gasik P, Gauger EF, Gautam A, Gay Ducati MB, Germain M, Ghosh P, Ghosh SK, Giacalone M, Gianotti P, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Goh DJQ, Gonzalez V, González-Trueba LH, Gorbunov S, Gorgon M, Görlich L, Gotovac S, Grabski V, Graczykowski LK, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan S, Groettvik OS, Grosa F, Grosse-Oetringhaus JF, Grosso R, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gunji T, Guo W, Gupta A, Gupta R, Guzman SP, Gyulai L, Habib MK, Hadjidakis C, Halimoglu G, Hamagaki H, Hamar G, Hamid M, Hannigan R, Haque MR, Harlenderova A, Harris JW, Harton A, Hasenbichler JA, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Hayashi S, Heckel ST, Hellbär E, Helstrup H, Herman T, Hernandez EG, Herrera Corral G, Herrmann F, Hetland KF, Hillemanns H, Hills C, Hippolyte B, Hofman B, Hohlweger B, Honermann J, Hong GH, Horak D, Hornung S, Horzyk A, Hosokawa R, Hou Y, Hristov P, Hughes C, Huhn P, Humanic TJ, Hushnud H, Husova LA, Hutson A, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Islam MS, Ivanov M, Ivanov V, Izucheev V, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jahnke C, Jakubowska MJ, Jalotra A, Janik MA, Janson T, Jercic M, Jevons O, Jimenez AAP, Jonas F, Jones PG, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kaewjai J, Kalinak P, Kalweit A, Kaplin V, Kar S, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kazantsev A, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khabanova Z, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim J, Kim J, Kim M, Kim S, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Köhler MK, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Koska L, Kotliarov A, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Kryshen E, Krzewicki M, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Lapidus K, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lehrbach J, Lemmon RC, León Monzón I, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu DH, Liu J, Lofnes IM, Loginov V, Loizides C, Loncar P, Lopez JA, Lopez X, López Torres E, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmoud T, Maire A, Malaev M, Malik NM, Malik QW, Malinina L, Mal'Kevich D, Mallick N, Malzacher P, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Mareš J, Margagliotti GV, Margotti A, Marín A, Markert C, Marquard M, Martin NA, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mazzoni MA, Mdhluli JE, Mechler AF, Meddi F, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohanty AP, Mohanty B, Khan MM, Molander MA, Moravcova Z, Mordasini C, Moreira De Godoy DA, Moreno LAP, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Neagu A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Osako T, Oskarsson A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Pan J, Panebianco S, Pareek P, Park J, Parkkila JE, Pathak SP, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, 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C, Sukhanov M, Suljic M, Sultanov R, Šumbera M, Sumberia V, Sumowidagdo S, Swain S, Szabo A, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tapia Takaki JD, Tarhini M, Tarzila MG, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tieulent R, Tikhonov A, Timmins AR, Tkacik M, Toia A, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Torres SR, Trifiró A, Tripathy S, Tripathy T, Trogolo S, Trombetta G, Trubnikov V, Trzaska WH, Trzcinski TP, Trzeciak BA, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Uras A, Urioni M, Usai GL, Vala M, Valle N, Vallero S, van der Kolk N, van Doremalen LVR, van Leeuwen M, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vargas A, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Voscek D, Vozniuk N, Vrláková J, Wagner B, Wang C, Wang D, Weber M, Weelden RJGV, Wegrzynek A, Wenzel SC, Wessels JP, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Witt WE, Wright JR, Wu W, Wu Y, Xu R, Yadav AK, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yokoyama H, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanoli HJC, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang S, Zhang X, Zhang Y, Zherebchevskii V, Zhi Y, Zhigareva N, Zhou D, Zhou Y, Zhu J, Zhu Y, Zichichi A, Zinovjev G, Zurlo N. Polarization of Λ and Λ[over ¯] Hyperons along the Beam Direction in Pb-Pb Collisions at sqrt[s]_{NN}=5.02 TeV. PHYSICAL REVIEW LETTERS 2022; 128:172005. [PMID: 35570422 DOI: 10.1103/physrevlett.128.172005] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 01/04/2022] [Accepted: 03/16/2022] [Indexed: 06/15/2023]
Abstract
The polarization of the Λ and Λ[over ¯] hyperons along the beam (z) direction, P_{z}, has been measured in Pb-Pb collisions at sqrt[s_{NN}]=5.02 TeV recorded with ALICE at the Large Hadron Collider (LHC). The main contribution to P_{z} comes from elliptic flow-induced vorticity and can be characterized by the second Fourier sine coefficient P_{z,s2}=⟨P_{z}sin(2φ-2Ψ_{2})⟩, where φ is the hyperon azimuthal emission angle and Ψ_{2} is the elliptic flow plane angle. We report the measurement of P_{z,s2} for different collision centralities and in the 30%-50% centrality interval as a function of the hyperon transverse momentum and rapidity. The P_{z,s2} is positive similarly as measured by the STAR Collaboration in Au-Au collisions at sqrt[s_{NN}]=200 GeV, with somewhat smaller amplitude in the semicentral collisions. This is the first experimental evidence of a nonzero hyperon P_{z} in Pb-Pb collisions at the LHC. The comparison of the measured P_{z,s2} with the hydrodynamic model calculations shows sensitivity to the competing contributions from thermal and the recently found shear-induced vorticity, as well as to whether the polarization is acquired at the quark-gluon plasma or the hadronic phase.
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Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim J, Kim J, Kim M, Kim S, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Köhler MK, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Koska L, Kotliarov A, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Kryshen E, Krzewicki M, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Lapidus K, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lehrbach J, Lemmon RC, León Monzón I, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim 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Morsch A, Mrnjavac T, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Neagu A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Osako T, Oskarsson A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Pan J, Panebianco S, Pareek P, Park J, Parkkila JE, Pathak SP, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Porter J, Pozdniakov V, Prasad SK, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Ramos AGT, Rancien TA, Raniwala R, Raniwala S, Räsänen SS, Rath R, Ravasenga I, Read KF, Redelbach AR, Redlich K, Rehman A, Reichelt P, Reidt F, Reme-Ness HA, Renfordt R, Rescakova Z, Reygers K, Riabov A, Riabov V, Richert T, Richter M, Riegler W, Riggi F, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rokita PS, Ronchetti F, Rosano A, Rosas ED, Rossi A, Rotondi A, Roy A, Roy P, Roy S, Rubini N, Rueda OV, Rui R, Rumyantsev B, Russek PG, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sakai S, Sambyal S, Samsonov V, Sarkar D, Sarkar N, Sarma P, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schukraft J, Schutz Y, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabanov A, Shabetai A, Shahoyan R, Shaikh W, Shangaraev A, Sharma A, Sharma H, Sharma M, Sharma N, Sharma S, Sharma U, Sheibani O, Shigaki K, Shimomura M, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simonetti G, Singh B, Singh R, Singh R, Singh R, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Soncco C, Song J, Songmoolnak A, Soramel F, Sorensen S, Sputowska I, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Storetvedt MM, Stylianidis CP, Suaide AAP, Sugitate T, Suire C, Sukhanov M, Suljic M, Sultanov R, Šumbera M, Sumberia V, Sumowidagdo S, Swain S, Szabo A, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tapia Takaki JD, Tarhini M, Tarzila MG, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tieulent R, Tikhonov A, Timmins AR, Tkacik M, Toia A, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Torres SR, Trifiró A, Tripathy S, Tripathy T, Trogolo S, Trombetta G, Trubnikov V, Trzaska WH, Trzcinski TP, Trzeciak BA, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Uras A, Urioni M, Usai GL, Vala M, Valle N, Vallero S, van der Kolk N, van Doremalen LVR, van Leeuwen M, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vargas A, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Voscek D, Vozniuk N, Vrláková J, Wagner B, Wang C, Wang D, Weber M, Weelden RJGV, Wegrzynek A, Wenzel SC, Wessels JP, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Witt WE, Wright JR, Wu W, Wu Y, Xu R, Yadav AK, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yokoyama H, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanoli HJC, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang S, Zhang X, Zhang Y, Zherebchevskii V, Zhi Y, Zhigareva N, Zhou D, Zhou Y, Zhu J, Zhu Y, Zichichi A, Zinovjev G, Zurlo N. Measurement of the Groomed Jet Radius and Momentum Splitting Fraction in pp and Pb-Pb Collisions at sqrt[s_{NN}]=5.02 TeV. PHYSICAL REVIEW LETTERS 2022; 128:102001. [PMID: 35333086 DOI: 10.1103/physrevlett.128.102001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 11/29/2021] [Accepted: 02/10/2022] [Indexed: 06/14/2023]
Abstract
This article presents groomed jet substructure measurements in pp and Pb-Pb collisions at sqrt[s_{NN}]=5.02 TeV with the ALICE detector. The soft drop grooming algorithm provides access to the hard parton splittings inside a jet by removing soft wide-angle radiation. We report the groomed jet momentum splitting fraction, z_{g}, and the (scaled) groomed jet radius, θ_{g}. Charged-particle jets are reconstructed at midrapidity using the anti-k_{T} algorithm with resolution parameters R=0.2 and R=0.4. In heavy-ion collisions, the large underlying event poses a challenge for the reconstruction of groomed jet observables, since fluctuations in the background can cause groomed parton splittings to be misidentified. By using strong grooming conditions to reduce this background, we report these observables fully corrected for detector effects and background fluctuations for the first time. A narrowing of the θ_{g} distribution in Pb-Pb collisions compared to pp collisions is seen, which provides direct evidence of the modification of the angular structure of jets in the quark-gluon plasma. No significant modification of the z_{g} distribution in Pb-Pb collisions compared to pp collisions is observed. These results are compared with a variety of theoretical models of jet quenching, and provide constraints on jet energy-loss mechanisms and coherence effects in the quark-gluon plasma.
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Harish MN, Choudhary AK, Kumar S, Dass A, Singh VK, Sharma VK, Varatharajan T, Dhillon MK, Sangwan S, Dua VK, Nitesh SD, Bhavya M, Sangwan S, Prasad S, Kumar A, Rajpoot SK, Gupta G, Verma P, Kumar A, George S. Double zero tillage and foliar phosphorus fertilization coupled with microbial inoculants enhance maize productivity and quality in a maize-wheat rotation. Sci Rep 2022; 12:3161. [PMID: 35210519 PMCID: PMC8873388 DOI: 10.1038/s41598-022-07148-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 02/04/2022] [Indexed: 11/11/2022] Open
Abstract
Maize is an important industrial crop where yield and quality enhancement both assume greater importance. Clean production technologies like conservation agriculture and integrated nutrient management hold the key to enhance productivity and quality besides improving soil health and environment. Hence, maize productivity and quality were assessed under a maize–wheat cropping system (MWCS) using four crop-establishment and tillage management practices [FBCT–FBCT (Flat bed–conventional tillage both in maize and wheat); RBCT–RBZT (Raised bed–CT in maize and raised bed–zero tillage in wheat); FBZT–FBZT (FBZT both in maize and wheat); PRBZT–PRBZT (Permanent raised bed–ZT both in maize and wheat], and five P-fertilization practices [P100 (100% soil applied-P); P50 + 2FSP (50% soil applied-P + 2 foliar-sprays of P through 2% DAP both in maize and wheat); P50 + PSB + AM-fungi; P50 + PSB + AMF + 2FSP; and P0 (100% NK with no-P)] in split-plot design replicated-thrice. Double zero-tilled PRBZT–PRBZT system significantly enhanced the maize grain, starch, protein and oil yield by 13.1–19% over conventional FBCT–FBCT. P50 + PSB + AMF + 2FSP, integrating soil applied-P, microbial-inoculants and foliar-P, had significantly higher grain, starch, protein and oil yield by 12.5–17.2% over P100 besides saving 34.7% fertilizer-P both in maize and on cropping-system basis. P50 + PSB + AMF + 2FSP again had significantly higher starch, lysine and tryptophan content by 4.6–10.4% over P100 due to sustained and synchronized P-bioavailability. Higher amylose content (24.1%) was observed in grains under P50 + PSB + AMF + 2FSP, a beneficial trait due to its lower glycemic-index highly required for diabetic patients, where current COVID-19 pandemic further necessitated the use of such dietary ingredients. Double zero-tilled PRBZT–PRBZT reported greater MUFA (oleic acid, 37.1%), MUFA: PUFA ratio and P/S index with 6.9% higher P/S index in corn-oil (an oil quality parameter highly required for heart-health) over RBCT-RBCT. MUFA, MUFA: PUFA ratio and P/S index were also higher under P50 + PSB + AMF + 2FSP; avowing the obvious role of foliar-P and microbial-inoculants in influencing maize fatty acid composition. Overall, double zero-tilled PRBZT–PRBZT with crop residue retention at 6 t/ha per year along with P50 + PSB + AMF + 2FSP while saving 34.7% fertilizer-P in MWCS, may prove beneficial in enhancing maize productivity and quality so as to reinforce the food and nutritional security besides boosting food, corn-oil and starch industry in south-Asia and collateral arid agro-ecologies across the globe.
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Acharya S, Adamová D, Adler A, Adolfsson J, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akbar Z, Akindinov A, Al-Turany M, Alam SN, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alt T, Altenkamper L, Altsybeev I, Anaam MN, Andrei C, Andreou D, Andronic A, Angeletti M, Anguelov V, Antinori F, Antonioli P, Anuj C, Apadula N, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Aziz S, Azmi MD, Badalà A, Baek YW, Bai X, Bailhache R, Bailung Y, Bala R, Balbino A, Baldisseri A, Balis B, Ball M, Banerjee D, Barbera R, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat MA, Bhattacharjee B, Bhattacharya P, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Biernat J, Bilandzic A, Biro G, Biswas S, Blair JT, Blau D, Blidaru MB, Blume C, Boca G, Bock F, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Bossi H, Botta E, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Butt JB, Bysiak SA, Caffarri D, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camacho RS, Camerini P, Canedo FDM, Carnesecchi F, Caron R, Castillo Castellanos J, Casula EAR, Catalano F, Ceballos Sanchez C, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chauvin A, Chavez TG, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Cicalo C, Cifarelli L, Cindolo F, Ciupek MR, Clai G, Cleymans J, Colamaria F, Colburn JS, Colella D, Collu A, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Crochet P, Cuautle E, Cui P, Cunqueiro L, Dainese A, Damas FPA, Danisch MC, Danu A, Das I, Das P, Das P, Das S, Dash S, De S, De Caro A, de Cataldo G, De Cilladi L, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Degenhardt HF, Deja KR, Dello Stritto L, Delsanto S, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Do J, Dobrin A, Dönigus B, Dordic O, Dubey AK, Dubla A, Dudi S, Dukhishyam M, Dupieux P, Dzalaiova N, Eder TM, Ehlers RJ, Eikeland VN, Eisenhut F, Elia D, Erazmus B, Ercolessi F, Erhardt F, Erokhin A, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrero A, Ferretti A, Feuillard VJG, Figiel J, Filchagin S, Finogeev D, Fionda FM, Fiorenza G, Flor F, Flores AN, Foertsch S, Foka P, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Gaardhøje JJ, Gagliardi M, Gago AM, Gal A, Galvan CD, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gasik P, Gauger EF, Gautam A, Gay Ducati MB, Germain M, Ghosh P, Ghosh SK, Giacalone M, Gianotti P, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Goh DJQ, Gonzalez V, González-Trueba LH, Gorbunov S, Gorgon M, Görlich L, Gotovac S, Grabski V, Graczykowski LK, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan A, Grigoryan S, Groettvik OS, Grosa F, Grosse-Oetringhaus JF, Grosso R, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gunji T, Gupta A, Gupta R, Guzman SP, Gyulai L, Habib MK, Hadjidakis C, Halimoglu G, Hamagaki H, Hamar G, Hamid M, Hannigan R, Haque MR, Harlenderova A, Harris JW, Harton A, Hasenbichler JA, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Hayashi S, Heckel ST, Hellbär E, Helstrup H, Herman T, Hernandez EG, Herrera Corral G, Herrmann F, Hetland KF, Hillemanns H, Hills C, Hippolyte B, Hofman B, Hohlweger B, Honermann J, Hong GH, Horak D, Hornung S, Horzyk A, Hosokawa R, Hristov P, Hughes C, Huhn P, Humanic TJ, Hushnud H, Husova LA, Hutson A, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Islam MS, Ivanov M, Ivanov V, Izucheev V, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jahnke C, Jakubowska MJ, Jalotra A, Janik MA, Janson T, Jercic M, Jevons O, Jonas F, Jones PG, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kaewjai J, Kalinak P, Kalweit A, Kaplin V, Kar S, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kazantsev A, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khabanova Z, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim C, Kim D, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim J, Kim J, Kim M, Kim S, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Köhler MK, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Koska L, Kotliarov A, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Kryshen E, Krzewicki M, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Lapidus K, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lehrbach J, Lemmon RC, León Monzón I, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu J, Lofnes IM, Loginov V, Loizides C, Loncar P, Lopez JA, Lopez X, López Torres E, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmoud T, Maire A, Malaev M, Malik NM, Malik QW, Malinina L, Mal'Kevich D, Mallick N, Malzacher P, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Mareš J, Margagliotti GV, Margotti A, Marín A, Markert C, Marquard M, Martin NA, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mazzoni MA, Mdhluli JE, Mechler AF, Meddi F, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohanty AP, Mohanty B, Mohisin Khan M, Moravcova Z, Mordasini C, Moreira De Godoy DA, Moreno LAP, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Naru MU, Nassirpour AF, Nath A, Nattrass C, Neagu A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Osako T, Oskarsson A, Otwinowski J, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Pan J, Panebianco S, Pareek P, Park J, Parkkila JE, Pathak SP, Patra RN, Paul B, Pazzini J, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Porter J, Pozdniakov V, Prasad SK, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Ramos AGT, Rancien TA, Raniwala R, Raniwala S, Räsänen SS, Rath R, Ravasenga I, Read KF, Redelbach AR, Redlich K, Rehman A, Reichelt P, Reidt F, Reme-Ness HA, Renfordt R, Rescakova Z, Reygers K, Riabov A, Riabov V, Richert T, Richter M, Riegler W, Riggi F, Ristea C, Rode SP, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rokita PS, Ronchetti F, Rosano A, Rosas ED, Rossi A, Rotondi A, Roy A, Roy P, Roy S, Rubini N, Rueda OV, Rui R, Rumyantsev B, Russek PG, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sakai S, Sambyal S, Samsonov V, Sarkar D, Sarkar N, Sarma P, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schukraft J, Schutz Y, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabanov A, Shabetai A, Shahoyan R, Shaikh W, Shangaraev A, Sharma A, Sharma H, Sharma M, Sharma N, Sharma S, Sharma U, Sheibani O, Shigaki K, Shimomura M, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simonetti G, Singh B, Singh R, Singh R, Singh R, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Soncco C, Song J, Songmoolnak A, Soramel F, Sorensen S, Sputowska I, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Storetvedt MM, Stylianidis CP, Suaide AAP, Sugitate T, Suire C, Suljic M, Sultanov R, Šumbera M, Sumberia V, Sumowidagdo S, Swain S, Szabo A, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tarhini M, Tarzila MG, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tieulent R, Tikhonov A, Timmins AR, Tkacik M, Toia A, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Cruz-Torres R, Torres SR, Trifiró A, Tripathy S, Tripathy T, Trogolo S, Trombetta G, Trubnikov V, Trzaska WH, Trzcinski TP, Trzeciak BA, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Uras A, Urioni M, Usai GL, Vala M, Valle N, Vallero S, van der Kolk N, van Doremalen LVR, van Leeuwen M, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vargas A, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Voscek D, Vozniuk N, Vrláková J, Wagner B, Wang C, Wang D, Weber M, Weelden RJGV, Wegrzynek A, Wenzel SC, Wessels JP, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Witt WE, Wright JR, Wu W, Wu Y, Xu R, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yokoyama H, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zaman A, Zampolli C, Zanoli HJC, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zbroszczyk H, Zhalov M, Zhang S, Zhang X, Zhang Y, Zherebchevskii V, Zhi Y, Zhigareva N, Zhou D, Zhou Y, Zhu J, Zhu Y, Zichichi A, Zinovjev G, Zurlo N. Measurement of Prompt D^{0}, Λ_{c}^{+}, and Σ_{c}^{0,++}(2455) Production in Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2022; 128:012001. [PMID: 35061479 DOI: 10.1103/physrevlett.128.012001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 11/09/2021] [Accepted: 11/24/2021] [Indexed: 06/14/2023]
Abstract
The p_{T}-differential production cross sections of prompt D^{0}, Λ_{c}^{+}, and Σ_{c}^{0,++}(2455) charmed hadrons are measured at midrapidity (|y|<0.5) in pp collisions at sqrt[s]=13 TeV. This is the first measurement of Σ_{c}^{0,++} production in hadronic collisions. Assuming the same production yield for the three Σ_{c}^{0,+,++} isospin states, the baryon-to-meson cross section ratios Σ_{c}^{0,+,++}/D^{0} and Λ_{c}^{+}/D^{0} are calculated in the transverse momentum (p_{T}) intervals 2<p_{T}<12 and 1<p_{T}<24 GeV/c. Values significantly larger than in e^{+}e^{-} collisions are observed, indicating for the first time that baryon enhancement in hadronic collisions also extends to the Σ_{c}. The feed-down contribution to Λ_{c}^{+} production from Σ_{c}^{0,+,++} is also reported and is found to be larger than in e^{+}e^{-} collisions. The data are compared with predictions from event generators and other phenomenological models, providing a sensitive test of the different charm-hadronization mechanisms implemented in the models.
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Acharya S, Adamová D, Adler A, Adolfsson J, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akbar Z, Akindinov A, Al-Turany M, Alam SN, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alt T, Altenkamper L, Altsybeev I, Anaam MN, Andrei C, Andreou D, Andronic A, Angeletti M, Anguelov V, Antinori F, Antonioli P, Anuj C, Apadula N, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Aziz S, Azmi MD, Badalà A, Baek YW, Bai X, Bailhache R, Bailung Y, Bala R, Balbino A, Baldisseri A, Balis B, Ball M, Banerjee D, Barbera R, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Berenyi D, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat IR, Bhat MA, Bhattacharjee B, Bhattacharya P, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Biernat J, Bilandzic A, Biro G, Biswas S, Blair JT, Blau D, Blidaru MB, Blume C, Boca G, Bock F, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Bossi H, Botta E, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Butt JB, Bysiak SA, Caffarri D, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camacho RS, Camerini P, Canedo FDM, Carnesecchi F, Caron R, Castillo Castellanos J, Casula EAR, Catalano F, Ceballos Sanchez C, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chauvin A, Chavez TG, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Cicalo C, Cifarelli L, Cindolo F, Ciupek MR, Clai G, Cleymans J, Colamaria F, Colburn JS, Colella D, Collu A, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Crochet P, Cruz-Torres R, Cuautle E, Cui P, Cunqueiro L, Dainese A, Damas FPA, Danisch MC, Danu A, Das I, Das P, Das P, Das S, Dash S, De S, De Caro A, de Cataldo G, De Cilladi L, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Degenhardt HF, Deja KR, Dello Stritto L, Delsanto S, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Do J, Dobrin A, Dönigus B, Dordic O, Dubey AK, Dubla A, Dudi S, Dukhishyam M, Dupieux P, Dzalaiova N, Eder TM, Ehlers RJ, Eikeland VN, Elia D, Erazmus B, Ercolessi F, Erhardt F, Erokhin A, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrero A, Ferretti A, Feuillard VJG, Figiel J, Filchagin S, Finogeev D, Fionda FM, Fiorenza G, Flor F, Flores AN, Foertsch S, Foka P, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Gaardhøje JJ, Gagliardi M, Gago AM, Gal A, Galvan CD, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gasik P, Gauger EF, Gautam A, Gay Ducati MB, Germain M, Ghosh J, Ghosh P, Ghosh SK, Giacalone M, Gianotti P, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Goh DJQ, Gonzalez V, González-Trueba LH, Gorbunov S, Gorgon M, Görlich L, Gotovac S, Grabski V, Graczykowski LK, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan A, Grigoryan S, Groettvik OS, Grosa F, Grosse-Oetringhaus JF, Grosso R, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gunji T, Gupta A, Gupta R, Guzman IB, Guzman SP, Gyulai L, Habib MK, Hadjidakis C, Halimoglu G, Hamagaki H, Hamar G, Hamid M, Hannigan R, Haque MR, Harlenderova A, Harris JW, Harton A, Hasenbichler JA, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Hayashi S, Heckel ST, Hellbär E, Helstrup H, Herman T, Hernandez EG, Herrera Corral G, Herrmann F, Hetland KF, Hillemanns H, Hills C, Hippolyte B, Hofman B, Hohlweger B, Honermann J, Hong GH, Horak D, Hornung S, Horzyk A, Hosokawa R, Hristov P, Huang C, Hughes C, Huhn P, Humanic TJ, Hushnud H, Husova LA, Hutson A, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Islam MS, Ivanov M, Ivanov V, Izucheev V, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jahnke C, Jakubowska MJ, Janik MA, Janson T, Jercic M, Jevons O, Jonas F, Jones PG, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kaewjai J, Kalinak P, Kalweit A, Kaplin V, Kar S, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kazantsev A, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khabanova Z, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim D, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim J, Kim J, Kim M, Kim S, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Köhler MK, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Koska L, Kotliarov A, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Kryshen E, Krzewicki M, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Lapidus K, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lee J, Lehrbach J, Lemmon RC, León Monzón I, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu J, Lofnes IM, Loginov V, Loizides C, Loncar P, Lopez JA, Lopez X, López Torres E, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmoud T, Maire A, Malaev M, Malik QW, Malinina L, Mal'Kevich D, Mallick N, Malzacher P, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Mareš J, Margagliotti GV, Margotti A, Marín A, Markert C, Marquard M, Martin NA, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mazzoni MA, Mdhluli JE, Mechler AF, Meddi F, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohanty AP, Mohanty B, Mohisin Khan M, Moravcova Z, Mordasini C, Moreira De Godoy DA, Moreno LAP, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myers CJ, Myrcha JW, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Naru MU, Nassirpour AF, Nath A, Nattrass C, Neagu A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Osako T, Oskarsson A, Otwinowski J, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Pan J, Panebianco S, Pareek P, Park J, Parkkila JE, Pathak SP, Patra RN, Paul B, Pazzini J, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Porter J, Pozdniakov V, Prasad SK, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Ramos AGT, Rancien TA, Raniwala R, Raniwala S, Räsänen SS, Rath R, Ravasenga I, Read KF, Redelbach AR, Redlich K, Rehman A, Reichelt P, Reidt F, Reme-Ness HA, Renfordt R, Rescakova Z, Reygers K, Riabov A, Riabov V, Richert T, Richter M, Riegler W, Riggi F, Ristea C, Rode SP, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rojas Torres S, Rokita PS, Ronchetti F, Rosano A, Rosas ED, Rossi A, Rotondi A, Roy A, Roy P, Roy S, Rubini N, Rueda OV, Rui R, Rumyantsev B, Russek PG, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sakai S, Sambyal S, Samsonov V, Sarkar D, Sarkar N, Sarma P, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schukraft J, Schutz Y, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabanov A, Shabetai A, Shahoyan R, Shaikh W, Shangaraev A, Sharma A, Sharma H, Sharma M, Sharma N, Sharma S, Sheibani O, Shigaki K, Shimomura M, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simonetti G, Singh B, Singh R, Singh R, Singh R, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Soncco C, Song J, Songmoolnak A, Soramel F, Sorensen S, Sputowska I, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Storetvedt MM, Stylianidis CP, Suaide AAP, Sugitate T, Suire C, Suljic M, Sultanov R, Šumbera M, Sumberia V, Sumowidagdo S, Swain S, Szabo A, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tarhini M, Tarzila MG, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tieulent R, Tikhonov A, Timmins AR, Tkacik M, Toia A, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Trifiró A, Tripathy S, Tripathy T, Trogolo S, Trombetta G, Trubnikov V, Trzaska WH, Trzcinski TP, Trzeciak BA, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Uras A, Urioni M, Usai GL, Vala M, Valle N, Vallero S, van der Kolk N, van Doremalen LVR, van Leeuwen M, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vargas A, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Voscek D, Vrláková J, Wagner B, Wang C, Wang D, Weber M, Weelden RJGV, Wegrzynek A, Wenzel SC, Wessels JP, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Witt WE, Wright JR, Wu W, Wu Y, Xu R, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yokoyama H, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zaman A, Zampolli C, Zanoli HJC, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zbroszczyk H, Zhalov M, Zhang S, Zhang X, Zhang Y, Zherebchevskii V, Zhi Y, Zhou D, Zhou Y, Zhu J, Zhu Y, Zichichi A, Zinovjev G, Zurlo N. Measurement of the Cross Sections of Ξ_{c}^{0} and Ξ_{c}^{+} Baryons and of the Branching-Fraction Ratio BR(Ξ_{c}^{0}→Ξ^{-}e^{+}ν_{e})/BR(Ξ_{c}^{0}→Ξ^{-}π^{+}) in pp Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2021; 127:272001. [PMID: 35061415 DOI: 10.1103/physrevlett.127.272001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/18/2021] [Accepted: 11/19/2021] [Indexed: 06/14/2023]
Abstract
The p_{T}-differential cross sections of prompt charm-strange baryons Ξ_{c}^{0} and Ξ_{c}^{+} were measured at midrapidity (|y|<0.5) in proton-proton (pp) collisions at a center-of-mass energy sqrt[s]=13 TeV with the ALICE detector at the LHC. The Ξ_{c}^{0} baryon was reconstructed via both the semileptonic decay (Ξ^{-}e^{+}ν_{e}) and the hadronic decay (Ξ^{-}π^{+}) channels. The Ξ_{c}^{+} baryon was reconstructed via the hadronic decay (Ξ^{-}π^{+}π^{+}) channel. The branching-fraction ratio BR(Ξ_{c}^{0}→Ξ^{-}e^{+}ν_{e})/BR(Ξ_{c}^{0}→Ξ^{-}π^{+})=1.38±0.14(stat)±0.22(syst) was measured with a total uncertainty reduced by a factor of about 3 with respect to the current world average reported by the Particle Data Group. The transverse momentum (p_{T}) dependence of the Ξ_{c}^{0}- and Ξ_{c}^{+}-baryon production relative to the D^{0} meson and to the Σ_{c}^{0,+,++}- and Λ_{c}^{+}-baryon production are reported. The baryon-to-meson ratio increases toward low p_{T} up to a value of approximately 0.3. The measurements are compared with various models that take different hadronization mechanisms into consideration. The results provide stringent constraints to these theoretical calculations and additional evidence that different processes are involved in charm hadronization in electron-positron (e^{+}e^{-}) and hadronic collisions.
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Srivastava A, Sharma V, Singh VK, Srivastava K. A Simple and Sensitive Inhibitory Kinetic Method for the Carbocisteine Determination. J MEX CHEM SOC 2021. [DOI: 10.29356/jmcs.v66i1.1654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Abstract. A fast, reproducible, and sensitive method is proposed for the kinetic determination of carbocisteine (CCys). The method depends on the inhibitory property of carbocisteine, which reduces the Hg2+ catalyzed substitution rate of cyanide from [Ru(CN)6]4- with N-R-salt (1-Nitroso-2-naphthol-3,6-disulfonic acid disodium salt) via forming a stable complex with Hg2+. Spectrophotometric measurements were carried out by recording the absorbance at 525 nm (λmax of [Ru(CN)5 Nitroso-R-Salt]3- complex) at a fixed time of 10 and 15 min under the optimized reaction conditions with [N-R-salt] = 4.5 × 10-4 M, I = 0.05 M (KNO3), Temp = 45.0 ± 0.2 o C, pH = 7.0 ± 0.03, [Hg2+] = 8.0 × 10-5 M and [Ru(CN)64-] = 4.25 × 10-5 M. With the proposed method, CCys can be determined quantitatively down to 3.0 × 10-6 M. This methodology can be effectively used for the rapid quantitative estimation of CCys in the pharmaceutical samples with good accuracy and reproducibility. The addition of common excipients in pharmaceuticals even up to 1000 times with [CCys] does not interfere significantly in the estimation of CCys.
Resumen. Se propone un método rápido, reproducibley sensible para la determinación cinética de la carbocisteina (CCys). El método depende de la propiedad inhibitoria de la carbocisteina que reduce la tasa de sustitución catalizada por Hg2+ del cianuro de [Ru(CN)6]4- con la sal N-R (sal disódica del ácido 1-Nitroso-2-naftol-3,6-disulfónico) mediante la formación de un complejo estable con Hg2+. Las mediciones espectrofotométricas se llevaron a cabo registrando la absorbancia a 525 nm (λmax del complejo [Ru(CN)5 Sal-Nitroso-R]3-) en un tiempo fijo de 10 y 15 min en las condiciones de reacción optimizadas con [sal-NR] = 4.5 × 10-4 M, I = 0.05 M (KNO3), Temp = 45.0 ± 0.2 o C, pH = 7.0 ± 0.03, [Hg2+] = 8.0 × 10-5 M y [Ru(CN)64-] = 4.25 × 10-5 M. Con el método propuesto, CCys se puede determinar cuantitativamente hasta 3,0 × 10-6 M. Esta metodología se puede utilizar eficazmente para la estimación cuantitativa rápida de CCys en las muestras farmacéuticas con buena precisión y reproducibilidad. La adición de excipientes comunes en productos farmacéuticos incluso hasta 1000 veces con [CCys] no interfiere significativamente en la estimación de CCys.
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