Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Annu Mishra"'
Autor:
Garima Singh, Annu Mishra, Ashish Mathur, Sakshi Shastri, Anam Nizam, Amber Rizwan, Agampreet Singh Dadial, Anam Firdous, Homa Hassan
Publikováno v:
Biosensors and Bioelectronics: X, Vol 18, Iss , Pp 100480- (2024)
Organ-on-a-Chip, or OOC, is a widely discussed topic in science due to its many unique advantages in the biomedical field. Nevertheless, there is still much to learn about OOC's various aspects of conception and its significance for the advancement o
Externí odkaz:
https://doaj.org/article/e10f1a2c1ba146989db636ed524fa388
Autor:
Mohd. Rahil Hasan, Pradakshina Sharma, Saumitra Singh, Annu Mishra, Zaira Azmi, Jagriti Narang
Publikováno v:
Biosensors and Bioelectronics: X, Vol 16, Iss , Pp 100431- (2024)
The present study describes the creation of a 3D printed cassette named “3DP-PAC”, integrated to an electrochemical-aptasensor for the detection of dengue virus. It consists of an electrode cassette printed from a PLA non-conductive filament that
Externí odkaz:
https://doaj.org/article/bfc6c840c33f4677b8eddc1b2addc545
Autor:
Annu Mishra, Souradeep Roy, Naasrin Israel Shaikh, Pooja Malave, Ankita Mishra, Md. Anish Alam, Yashswee Ghorpade, Mohd. Rahil Hasan, Anam Nizam
Publikováno v:
Biosensors and Bioelectronics: X, Vol 16, Iss , Pp 100417- (2024)
Food-borne pathogens pose significant risks to public health and food safety, necessitating the development of rapid, sensitive, and multiplex detection techniques. Biosensor is one of the important tool to detect the analyte with high sensitivity. N
Externí odkaz:
https://doaj.org/article/54c2e665fb384f2e876a2368fac4ac23
Publikováno v:
The Plant Pathology Journal, Vol 37, Iss 3, Pp 291-298 (2021)
False smut caused by Ustilaginoidea virens is an important rice fungal disease that significantly decreases its production. In the recent past, conventional methods have been developed for its detection that is time-consuming and need high-cost equip
Externí odkaz:
https://doaj.org/article/6f533ffd069a4df5adae64fc04dcef0b
Autor:
Annu Mishra, Tarab Fatima, Jagriti Narang, Sudheesh K. Shukla, Rachna Rawal, Ashish Mathur, Akshay Jain, Manika Khanuja
Publikováno v:
ACS Omega, Vol 4, Iss 12, Pp 14913-14919 (2019)
Externí odkaz:
https://doaj.org/article/4c605c612913468babadbb298bf31fdf
Autor:
Annu Mishra, Roberto Pilloton, Swati Jain, Souradeep Roy, Manika Khanuja, Ashish Mathur, Jagriti Narang
Publikováno v:
Biosensors, Vol 12, Iss 2, p 88 (2022)
In this study, we report on a novel aptasensor based on an electrochemical paper-based analytical device (ePAD) that employs a tungsten disulfide (WS2)/aptamer hybrid for the detection of Listeria monocytogenes. Listeria is a well-known causative pat
Externí odkaz:
https://doaj.org/article/ef6c68bd6622469b953c9485814979f1
Publikováno v:
ACS Omega, Vol 3, Iss 10, Pp 13020-13027 (2018)
Externí odkaz:
https://doaj.org/article/566614ff6e33452eb3ccc55eb1e5f5e8
Autor:
Aditya Rana, Manjari Killa, Neelam Yadav, Annu Mishra, Ashish Mathur, Arun Kumar, Manika Khanuja, Jagriti Narang, Roberto Pilloton
Publikováno v:
Sensors, Vol 20, Iss 7, p 2070 (2020)
Norovirus is one of the leading causes of gastroenteritis, acute vomiting, intense diarrhoea, acute pain in the stomach, high fever, headaches, and body pain. Conventional methods of detection gave us very promising results but had disadvantages such
Externí odkaz:
https://doaj.org/article/6889e68f7fa4411ba4dbc414a04e70f6
Autor:
Jagriti Narang, Annu Mishra, Roberto Pilloton, Alekhya VV, Shikha Wadhwa, Chandra Shekhar Pundir, Manika Khanuja
Publikováno v:
Biosensors, Vol 8, Iss 3, p 77 (2018)
The present study was aimed to develop “fluorine doped” tin oxide glass electrode with a MoSe2 nano-urchin based electrochemical biosensor for detection of Escherichia coli Shiga toxin DNA. The study comprises two conductive electrodes, and the w
Externí odkaz:
https://doaj.org/article/30d1e188c7bc48deb028c1ca71c1e2ad
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 10:1897-1902
Machine learning in healthcare helps humans to process large and complex medical datasets and then analyze them into clinical insights which can help physicians in providing better medical care. Therefore, machine learning, when implemented in the me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ce778b5cf06597bac37f83e55f020ce
https://doi.org/10.22214/ijraset.2022.41588
https://doi.org/10.22214/ijraset.2022.41588