Pub Date : 2024-06-15DOI: 10.1021/acsomega.4c01999
Víctor Díaz-Jiménez, Giselle Gómez-Sánchez, N. Likhanova, P. Arellanes-Lozada, O. Olivares-Xometl, I. V. Lijanova, J. Arriola-Morales
{"title":"Current Overview of Corrosion Inhibition of API Steel in Different Environments","authors":"Víctor Díaz-Jiménez, Giselle Gómez-Sánchez, N. Likhanova, P. Arellanes-Lozada, O. Olivares-Xometl, I. V. Lijanova, J. Arriola-Morales","doi":"10.1021/acsomega.4c01999","DOIUrl":"https://doi.org/10.1021/acsomega.4c01999","url":null,"abstract":"","PeriodicalId":22,"journal":{"name":"ACS Omega","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141336829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-15DOI: 10.1021/acsomega.4c03825
N. Murali, Simran Rainu, Arti Sharma, Soumik Siddhanta, Neetu Singh, S. Betal
{"title":"Remotely Controlled Surface Charge Modulation of Magnetoelectric Nanogenerators for Swift and Efficient Drug Delivery","authors":"N. Murali, Simran Rainu, Arti Sharma, Soumik Siddhanta, Neetu Singh, S. Betal","doi":"10.1021/acsomega.4c03825","DOIUrl":"https://doi.org/10.1021/acsomega.4c03825","url":null,"abstract":"","PeriodicalId":22,"journal":{"name":"ACS Omega","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141337411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-15DOI: 10.1021/acsomega.3c10240
Nadia Mouats, Souad Djellali, Hana Ferkous, A. Sedik, A. Delimi, Abir Boublia, Khadidja Otmane Rachedi, M. Berredjem, A. Cukurovalı, Manawwer Alam, Barbara Ernsti, Y. Benguerba
{"title":"Comprehensive Investigation of the Adsorption, Corrosion Inhibitory Properties, and Quantum Calculations for 2-(2,4,5-Trimethoxybenzylidene) Hydrazine Carbothioamide in Mitigating Corrosion of XC38 Carbon Steel under HCl Environment","authors":"Nadia Mouats, Souad Djellali, Hana Ferkous, A. Sedik, A. Delimi, Abir Boublia, Khadidja Otmane Rachedi, M. Berredjem, A. Cukurovalı, Manawwer Alam, Barbara Ernsti, Y. Benguerba","doi":"10.1021/acsomega.3c10240","DOIUrl":"https://doi.org/10.1021/acsomega.3c10240","url":null,"abstract":"","PeriodicalId":22,"journal":{"name":"ACS Omega","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141336807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-14DOI: 10.1021/acsomega.4c01128
Amiza Surmi, Azmi Mohd Shariff, S. Lock
{"title":"Comprehensive Analysis of Pressure Drop Phenomena in Rotating Packed Bed Distillation: An In-Depth Investigation","authors":"Amiza Surmi, Azmi Mohd Shariff, S. Lock","doi":"10.1021/acsomega.4c01128","DOIUrl":"https://doi.org/10.1021/acsomega.4c01128","url":null,"abstract":"","PeriodicalId":22,"journal":{"name":"ACS Omega","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141341013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-14DOI: 10.1021/acsomega.4c01069
Rama Murugapandian, Sundara Ganeasan Mohan, Sridhar T M, N. A. Nambi Raj, Vijayalakshmi Uthirapathy
{"title":"Comparative Analysis of Electrospun Silk Fibroin/Chitosan Sandwich-Structured Scaffolds for Osteo Regeneration: Evaluating Mechanical Properties, Biological Performance, and Drug Release","authors":"Rama Murugapandian, Sundara Ganeasan Mohan, Sridhar T M, N. A. Nambi Raj, Vijayalakshmi Uthirapathy","doi":"10.1021/acsomega.4c01069","DOIUrl":"https://doi.org/10.1021/acsomega.4c01069","url":null,"abstract":"","PeriodicalId":22,"journal":{"name":"ACS Omega","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141340859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-14DOI: 10.1021/acsomega.4c01274
Adhyayan Mamgain, Virkeshwar Kumar and Susmita Dash*,
Adulteration of milk poses a severe human health hazard. Existing methods for detecting adulterants such as water, urea, ammonium sulfate (AmS), oils, and surfactants in milk are selective, expensive, and often challenging to implement in rural areas. The present work shows the potential of machine learning to detect milk adulterants using patterns of evaporative milk deposits. The final deposit patterns obtained after evaporation of the adulterated milk droplets are used to create an image data set. This data set is used to develop a deep learning model that deploys a convolutional neural network (CNN/ConvNet) to classify the distinct evaporation patterns obtained for different types and concentrations of adulterants. Further, we apply implicit and explicit regularization and compare their accuracies. The models trained with different regularization optimization schemes demonstrate that a CNN can be successfully implemented to detect adulterants in milk. Additionally, we experimentally determine how the type and concentration of milk adulterants, including ammonium sulfate (AmS), urea, oil, and surfactants, affect milk evaporative deposition. Added AmS and urea in milk crystallizes during evaporation to produce recognizable patterns that can be used for their detection. The method is capable of detecting AmS added in excess of 2.4% and urea in excess of 5% in diluted milk (20 wt %) due to the crystallization of AmS and urea, respectively. In the case of milk adulterated with vegetable oil, evaporation leads to the separation and accumulation of oil at the top of the deposit, leading to the detection of oil present in excess of 2% in 20% diluted milk. Furthermore, a minimum individual amount of 5% urea, 2.4% AmS, and 2% oil concentration in diluted milk (20%) is shown to be individually detected by evaporation pattern-based technique when milk is adulterated with all the adulterants (water, urea, AmS, and oil + surfactant) together. When subjected to different regularization optimization schemes, the CNN gives varying degrees of accuracy for successful detection. The use of implicit regularization in the form of data augmentation gives the best results with a testing average accuracy of 98%, showing that a CNN can be successfully deployed to classify and detect adulterants in milk.
{"title":"Image-Based Detection of Adulterants in Milk Using Convolutional Neural Network","authors":"Adhyayan Mamgain, Virkeshwar Kumar and Susmita Dash*, ","doi":"10.1021/acsomega.4c01274","DOIUrl":"10.1021/acsomega.4c01274","url":null,"abstract":"<p >Adulteration of milk poses a severe human health hazard. Existing methods for detecting adulterants such as water, urea, ammonium sulfate (AmS), oils, and surfactants in milk are selective, expensive, and often challenging to implement in rural areas. The present work shows the potential of machine learning to detect milk adulterants using patterns of evaporative milk deposits. The final deposit patterns obtained after evaporation of the adulterated milk droplets are used to create an image data set. This data set is used to develop a deep learning model that deploys a convolutional neural network (CNN/ConvNet) to classify the distinct evaporation patterns obtained for different types and concentrations of adulterants. Further, we apply implicit and explicit regularization and compare their accuracies. The models trained with different regularization optimization schemes demonstrate that a CNN can be successfully implemented to detect adulterants in milk. Additionally, we experimentally determine how the type and concentration of milk adulterants, including ammonium sulfate (AmS), urea, oil, and surfactants, affect milk evaporative deposition. Added AmS and urea in milk crystallizes during evaporation to produce recognizable patterns that can be used for their detection. The method is capable of detecting AmS added in excess of 2.4% and urea in excess of 5% in diluted milk (20 wt %) due to the crystallization of AmS and urea, respectively. In the case of milk adulterated with vegetable oil, evaporation leads to the separation and accumulation of oil at the top of the deposit, leading to the detection of oil present in excess of 2% in 20% diluted milk. Furthermore, a minimum individual amount of 5% urea, 2.4% AmS, and 2% oil concentration in diluted milk (20%) is shown to be individually detected by evaporation pattern-based technique when milk is adulterated with all the adulterants (water, urea, AmS, and oil + surfactant) together. When subjected to different regularization optimization schemes, the CNN gives varying degrees of accuracy for successful detection. The use of implicit regularization in the form of data augmentation gives the best results with a testing average accuracy of 98%, showing that a CNN can be successfully deployed to classify and detect adulterants in milk.</p>","PeriodicalId":22,"journal":{"name":"ACS Omega","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsomega.4c01274","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141342436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-14DOI: 10.1021/acsomega.4c01595
Kemal Mohammed Gendo, Raji Feyisa Bogale, Girmaye Kenasa
{"title":"Green Synthesis, Characterization, and Evaluation of Photocatalytic and Antibacterial Activities of Co3O4–ZnO Nanocomposites Using Calpurnia aurea Leaf Extract","authors":"Kemal Mohammed Gendo, Raji Feyisa Bogale, Girmaye Kenasa","doi":"10.1021/acsomega.4c01595","DOIUrl":"https://doi.org/10.1021/acsomega.4c01595","url":null,"abstract":"","PeriodicalId":22,"journal":{"name":"ACS Omega","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141340348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-14DOI: 10.1021/acsomega.4c01644
Mengshi Xia, Pan Yang, Chuiyu Zhu, Yue Hu, Lichao Fang, Junsong Zheng, Xiaolong Wang, Yan Li
{"title":"Highly Efficient Photoelectrochemical Detection of Cystatin C Based on a Core–Shell MOF Nanocomposite with Biomimetic-Catalysis Amplification","authors":"Mengshi Xia, Pan Yang, Chuiyu Zhu, Yue Hu, Lichao Fang, Junsong Zheng, Xiaolong Wang, Yan Li","doi":"10.1021/acsomega.4c01644","DOIUrl":"https://doi.org/10.1021/acsomega.4c01644","url":null,"abstract":"","PeriodicalId":22,"journal":{"name":"ACS Omega","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141343973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-14DOI: 10.1021/acsomega.4c04098
Cássio R.A. do Prado, Matheus Henrique de Oliveira Pessoa, Lucas da Silva dos Santos, Aline da Silva Xavier da Cruz, Luís Rogério Dinelli, André Luiz Bogado
{"title":"The Self-Assembly of Cationic Metal Complexes on Gold Nanoparticle Surface","authors":"Cássio R.A. do Prado, Matheus Henrique de Oliveira Pessoa, Lucas da Silva dos Santos, Aline da Silva Xavier da Cruz, Luís Rogério Dinelli, André Luiz Bogado","doi":"10.1021/acsomega.4c04098","DOIUrl":"https://doi.org/10.1021/acsomega.4c04098","url":null,"abstract":"","PeriodicalId":22,"journal":{"name":"ACS Omega","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141338899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identifying Novel Therapeutics for the Resistant Mutant “F533L” in PBP3 of Pseudomonas aeruginosa Using ML Techniques","authors":"Tushar Joshi, Santhiya Vijayakumar, Soumyadip Ghosh, Shalini Mathpal, Sudha Ramaiah, Anand Anbarasu","doi":"10.1021/acsomega.4c00929","DOIUrl":"https://doi.org/10.1021/acsomega.4c00929","url":null,"abstract":"","PeriodicalId":22,"journal":{"name":"ACS Omega","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141341175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号