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1. A Comprehensive Analysis of the Hydrogen Generation Technology Through Electrochemical Water and Industrial Wastewater Electrolysis

Author

Al-Obaidi Qusay, Ibrahim Dhorgham Skban, Mohammed M.N., Sultan Abbas J., Al-Ani Faris H., Abdullah Thamer Adnan, Abdullah Oday I., and Selem Nora Yehia

Subjects
renewable energy, green hydrogen, water electrolysis technologies, electrochemical, waste-water treatment, Chemistry, QD1-999
Abstract

Most renewable energy sources are intermittent and seasonal, making energy storage and consumption problematic. Hydrogen gas can save and convey chemical energy, making it a promising sustainable energy source. Electrochemical water electrolysis technology’s sustainable and efficient hydrogen gas production attracts global attention. Higher hydrogen production rates enhance hydrogen volumetric energy capacity by storing intermittent hydrogen gas in high-pressure tanks. Pressurized storage tanks are cost-effective and efficient. Hydrogen gas may be stored economically and efficiently in pressurized tanks, making electrochemical water electrolysis a sustainable energy source. This paper introduced hydrogen as an alternative to natural gas, detailed water electrolysis technologies for hydrogen production, and highlighted how they can manufacture hydrogen efficiently and cost-effectively. The theoretical volume of gaseous hydrogen and oxygen that could be produced by electrolyzing water under typical temperature and pressure (STP) circumstances, assuming a 100% efficiency rate of the process. Since there are always two moles of hydrogen produced by electrolysis and one mole of gas occupies the same volume, the volume of hydrogen developed from water is twice that of oxygen. The volume of liberated oxygen is 0.21 (L/min), and the volume of liberated hydrogen is 0.42 (L/min) with a current density of 30 A, for instance, the tracer’s diffusion coefficient for all conceivable flow rates. A maximum value of 90 liters per hour was determined to be the threshold at which the diffusion coefficient increased with increasing flow rate. It would appear that the diffusion coefficient remains unchanged at flow rates greater than 90 liters per hour.

Published
2024
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4. MIBiG 4.0: advancing biosynthetic gene cluster curation through global collaboration.

Author

Zdouc MM, Blin K, Louwen NLL, Navarro J, Loureiro C, Bader CD, Bailey CB, Barra L, Booth TJ, Bozhüyük KAJ, Cediel-Becerra JDD, Charlop-Powers Z, Chevrette MG, Chooi YH, D'Agostino PM, de Rond T, Del Pup E, Duncan KR, Gu W, Hanif N, Helfrich EJN, Jenner M, Katsuyama Y, Korenskaia A, Krug D, Libis V, Lund GA, Mantri S, Morgan KD, Owen C, Phan CS, Philmus B, Reitz ZL, Robinson SL, Singh KS, Teufel R, Tong Y, Tugizimana F, Ulanova D, Winter JM, Aguilar C, Akiyama DY, Al-Salihi SAA, Alanjary M, Alberti F, Aleti G, Alharthi SA, Rojo MYA, Arishi AA, Augustijn HE, Avalon NE, Avelar-Rivas JA, Axt KK, Barbieri HB, Barbosa JCJ, Barboza Segato LG, Barrett SE, Baunach M, Beemelmanns C, Beqaj D, Berger T, Bernaldo-Agüero J, Bettenbühl SM, Bielinski VA, Biermann F, Borges RM, Borriss R, Breitenbach M, Bretscher KM, Brigham MW, Buedenbender L, Bulcock BW, Cano-Prieto C, Capela J, Carrion VJ, Carter RS, Castelo-Branco R, Castro-Falcón G, Chagas FO, Charria-Girón E, Chaudhri AA, Chaudhry V, Choi H, Choi Y, Choupannejad R, Chromy J, Donahey MSC, Collemare J, Connolly JA, Creamer KE, Crüsemann M, Cruz AA, Cumsille A, Dallery JF, Damas-Ramos LC, Damiani T, de Kruijff M, Martín BD, Sala GD, Dillen J, Doering DT, Dommaraju SR, Durusu S, Egbert S, Ellerhorst M, Faussurier B, Fetter A, Feuermann M, Fewer DP, Foldi J, Frediansyah A, Garza EA, Gavriilidou A, Gentile A, Gerke J, Gerstmans H, Gomez-Escribano JP, González-Salazar LA, Grayson NE, Greco C, Gomez JEG, Guerra S, Flores SG, Gurevich A, Gutiérrez-García K, Hart L, Haslinger K, He B, Hebra T, Hemmann JL, Hindra H, Höing L, Holland DC, Holme JE, Horch T, Hrab P, Hu J, Huynh TH, Hwang JY, Iacovelli R, Iftime D, Iorio M, Jayachandran S, Jeong E, Jing J, Jung JJ, Kakumu Y, Kalkreuter E, Kang KB, Kang S, Kim W, Kim GJ, Kim H, Kim HU, Klapper M, Koetsier RA, Kollten C, Kovács ÁT, Kriukova Y, Kubach N, Kunjapur AM, Kushnareva AK, Kust A, Lamber J, Larralde M, Larsen NJ, Launay AP, Le NT, Lebeer S, Lee BT, Lee K, Lev KL, Li SM, Li YX, Licona-Cassani C, Lien A, Liu J, Lopez JAV, Machushynets NV, Macias MI, Mahmud T, Maleckis M, Martinez-Martinez AM, Mast Y, Maximo MF, McBride CM, McLellan RM, Bhatt KM, Melkonian C, Merrild A, Metsä-Ketelä M, Mitchell DA, Müller AV, Nguyen GS, Nguyen HT, Niedermeyer THJ, O'Hare JH, Ossowicki A, Ostash BO, Otani H, Padva L, Paliyal S, Pan X, Panghal M, Parade DS, Park J, Parra J, Rubio MP, Pham HT, Pidot SJ, Piel J, Pourmohsenin B, Rakhmanov M, Ramesh S, Rasmussen MH, Rego A, Reher R, Rice AJ, Rigolet A, Romero-Otero A, Rosas-Becerra LR, Rosiles PY, Rutz A, Ryu B, Sahadeo LA, Saldanha M, Salvi L, Sánchez-Carvajal E, Santos-Medellin C, Sbaraini N, Schoellhorn SM, Schumm C, Sehnal L, Selem N, Shah AD, Shishido TK, Sieber S, Silviani V, Singh G, Singh H, Sokolova N, Sonnenschein EC, Sosio M, Sowa ST, Steffen K, Stegmann E, Streiff AB, Strüder A, Surup F, Svenningsen T, Sweeney D, Szenei J, Tagirdzhanov A, Tan B, Tarnowski MJ, Terlouw BR, Rey T, Thome NU, Torres Ortega LR, Tørring T, Trindade M, Truman AW, Tvilum M, Udwary DW, Ulbricht C, Vader L, van Wezel GP, Walmsley M, Warnasinghe R, Weddeling HG, Weir ANM, Williams K, Williams SE, Witte TE, Rocca SMW, Yamada K, Yang D, Yang D, Yu J, Zhou Z, Ziemert N, Zimmer L, Zimmermann A, Zimmermann C, van der Hooft JJJ, Linington RG, Weber T, and Medema MH

Subjects
Biosynthetic Pathways genetics, Molecular Sequence Annotation, Biological Products metabolism, Biological Products chemistry, Data Curation, Multigene Family, Databases, Genetic
Abstract

Specialized or secondary metabolites are small molecules of biological origin, often showing potent biological activities with applications in agriculture, engineering and medicine. Usually, the biosynthesis of these natural products is governed by sets of co-regulated and physically clustered genes known as biosynthetic gene clusters (BGCs). To share information about BGCs in a standardized and machine-readable way, the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard and repository was initiated in 2015. Since its conception, MIBiG has been regularly updated to expand data coverage and remain up to date with innovations in natural product research. Here, we describe MIBiG version 4.0, an extensive update to the data repository and the underlying data standard. In a massive community annotation effort, 267 contributors performed 8304 edits, creating 557 new entries and modifying 590 existing entries, resulting in a new total of 3059 curated entries in MIBiG. Particular attention was paid to ensuring high data quality, with automated data validation using a newly developed custom submission portal prototype, paired with a novel peer-reviewing model. MIBiG 4.0 also takes steps towards a rolling release model and a broader involvement of the scientific community. MIBiG 4.0 is accessible online at https://mibig.secondarymetabolites.org/., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Published
2025
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