Development of 3D-printed Conducting Microneedle-Based Electrochemical Point-of-Care Device for Transdermal Sensing of Chlorpromazine DOI Creative Commons
Sachin Kadian, Siba Sundar Sahoo,

Shubhangi Shukla

и другие.

Journal of Materials Chemistry B, Год журнала: 2024, Номер unknown

Опубликована: Дек. 31, 2024

We have demonstrated a straightforward and scalable manufacturing process for the development of 3D-printed conducting microneedle array-based electrochemical point-of-care device minimally invasive sensing chlorpromazine.

Язык: Английский

Recent progress in the 3D printing of microneedle patches for biomedical applications DOI
Huan Liu,

Aminov Nail,

Decheng Meng

и другие.

International Journal of Pharmaceutics, Год журнала: 2024, Номер unknown, С. 124995 - 124995

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

4

3D-printed microneedles for sensing applications: emerging topics and future trends DOI Creative Commons
Kelcilene B. R. Teodoro, Tamires S. Pereira, Ana Laura M.M. Alves

и другие.

Advanced Sensor and Energy Materials, Год журнала: 2025, Номер unknown, С. 100139 - 100139

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Advances in dissolving microneedles-based drug delivery system for treating dermatological diseases DOI Creative Commons
Gang Chen, Jiaying Li, Qinglei Bu

и другие.

Journal of Drug Delivery Science and Technology, Год журнала: 2025, Номер unknown, С. 106785 - 106785

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Applications of Machine Learning in Food Safety and HACCP Monitoring of Animal-Source Foods DOI Creative Commons
Panagiota‐Kyriaki Revelou, Efstathia Tsakali, Anthimia Batrinou

и другие.

Foods, Год журнала: 2025, Номер 14(6), С. 922 - 922

Опубликована: Март 8, 2025

Integrating advanced computing techniques into food safety management has attracted significant attention recently. Machine learning (ML) algorithms offer innovative solutions for Hazard Analysis Critical Control Point (HACCP) monitoring by providing data analysis capabilities and have proven to be powerful tools assessing the of Animal-Source Foods (ASFs). Studies that link ML with HACCP in ASFs are limited. The present review provides an overview ML, feature extraction, selection employed safety. Several non-destructive presented, including spectroscopic methods, smartphone-based sensors, paper chromogenic arrays, machine vision, hyperspectral imaging combined algorithms. Prospects include enhancing predictive models development hybrid Artificial Intelligence (AI) automation quality control processes using AI-driven computer which could revolutionize inspections. However, handling conceivable inclinations AI is vital guaranteeing reasonable exact hazard assessments assortment nourishment generation settings. Moreover, moving forward, interpretability will make them more straightforward dependable. Conclusively, applying allows real-time analytics can significantly reduce risks associated ASF consumption.

Язык: Английский

Процитировано

0

Microneedle hierarchical structure construction for promoting multi-stage wound healing DOI
Rui Zhang, Pengfei Tang, Zhen‐Feng Chen

и другие.

International Journal of Pharmaceutics, Год журнала: 2025, Номер unknown, С. 125474 - 125474

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Data integrity of food and machine learning: Strategies, advances and prospective DOI
Chenming Li, Jieqing Li,

Yuanzhong Wang

и другие.

Food Chemistry, Год журнала: 2025, Номер unknown, С. 143831 - 143831

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Microfluidics in smart food safety DOI
Liyuan Gong, Yang Lin

Advances in food and nutrition research, Год журнала: 2024, Номер unknown, С. 305 - 354

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

3

Machine Learning Assists in the Design and Application of Microneedles DOI Creative Commons

Wenqing He,

Suixiu Kong,

Rumin Lin

и другие.

Biomimetics, Год журнала: 2024, Номер 9(8), С. 469 - 469

Опубликована: Авг. 2, 2024

Microneedles (MNs), characterized by their micron-sized sharp tips, can painlessly penetrate the skin and have shown significant potential in disease treatment biosensing. With development of artificial intelligence (AI), design application MNs experienced substantial innovation aided machine learning (ML). This review begins with a brief introduction to concept ML its current stage development. Subsequently, principles fabrication methods are explored, demonstrating critical role optimizing preparation. Integration between applications therapy sensing were further discussed. Finally, we outline challenges prospects learning-assisted MN technology, aiming advance practical field smart diagnosis treatment.

Язык: Английский

Процитировано

3

Electrochemical applications of fly ash as surface modifier: sustainable mitigation of industrial residue DOI

Shubhangi Shukla,

Sachin Kadian, Roger J. Narayan

и другие.

Journal of Solid State Electrochemistry, Год журнала: 2024, Номер unknown

Опубликована: Авг. 28, 2024

Язык: Английский

Процитировано

2

Wearable Optical Sensors: Toward Machine Learning-Enabled Biomarker Monitoring DOI
Shadab Faham,

Sina Faham,

Bakhtyar Sepehri

и другие.

Chemistry Africa, Год журнала: 2024, Номер 7(8), С. 4175 - 4192

Опубликована: Авг. 16, 2024

Язык: Английский

Процитировано

1