Article
Chemistry, Analytical
Daiki Kawasaki, Hirotaka Yamada, Kenji Sueyoshi, Hideaki Hisamoto, Tatsuro Endo
Summary: An optical sensor based on an imprinted photonic crystal film (IPCF) was developed for quick, simple, and cost-effective detection of the spike protein of the novel coronavirus. The IPCF sensor achieved label-free and highly sensitive detection with a smartphone-equipped optical setup, with results immediately available and capable of being saved to cloud storage.
Article
Chemistry, Analytical
Yao Lin, Yuyang Li, Hongqi Chang, Simin Ye, Yi Ye, Lin Yang, Linchuan Liao, Hao Dai, Zeliang Wei, Yurong Deng, Jinyi Zhang, Chengbin Zheng
Summary: The excessive consumption of THC poses severe health risks and public safety concerns. However, the quantification of THC using simple and cost-effective tools remains challenging. In this study, researchers developed a label-free ratiometric fluorescent sensor based on THC1.2/ThT and red CdTe quantum dots for the instant monitoring of THC and its metabolite THC-COOH.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Jiahong Chen, Jianwei Zhong, Yifu Chang, Yinning Zhou, Seok Hwee Koo, Thean Yen Tan, Hongtao Lei, Ye Ai
Summary: Antimicrobial resistance is a serious threat to global public health. A label-free electrical impedance-based microfluidic platform has been designed to expedite and streamline antimicrobial susceptibility testing (AST) for clinical practice, with a rapid 2-minute AST assay at the single-bacterium level. This platform enables accurate analysis of bacterial viability and determination of antimicrobial resistance.
Article
Biotechnology & Applied Microbiology
Anton Mukhamedshin, Riley C. Reddington, Mai T. P. Dinh, Kumar Abhishek, Mubasher Iqbal, Marc Manheim, Sean C. Gifford, Sergey S. Shevkoplyas
Summary: The study introduces a closed-loop microfluidic device that effectively enriches T cells while removing monocytes and platelets, offering a simplified and standardized manufacturing process for cellular therapies.
BIOENGINEERING & TRANSLATIONAL MEDICINE
(2023)
Article
Chemistry, Analytical
Xiaobo Zhang, Fengya Wang, Hui Zhi, Peng Wan, Liang Feng
Summary: This study reports a label-free colorimetric sensor that integrates a 3D paper-based analytical device and a smartphone for rapid and sensitive detection of ochratoxin A (OTA) residues in food samples. The paper-based analytical device enables specific recognition of OTA and self-assembly of G-quadruplex (G4)/hemin DNAzyme, and converts the OTA binding event signal into a colorimetric signal. The device exhibited a detection range of 0.1-500 ng/mL and a detection limit of 41.9 pg/mL for OTA, with good results obtained in spiked real samples.
Article
Biochemical Research Methods
Kari Kopra, Nazia Hassan, Emmiliisa Vuorinen, Salla Valtonen, Randa Mahran, Huda Habib, Pinja Jalkanen, Petri Susi, Vesa Hytonen, Minna Hankaniemi, Seppo Yla-Herttuala, Laura Kakkola, Markus Peurla, Harri Harma
Summary: Viruses play a major role in modern society, but current methods for counting viral particles are cumbersome and expensive. To address this issue, researchers have developed a simple and cost-effective time-resolved luminescence-based method that allows for rapid measurement of virus particle count.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2022)
Article
Engineering, Environmental
Yuxin Zhuo, Wenjuan Xu, Yuan Chen, Feng Long
Summary: In this study, a mobile microfluidic lab-on-fiber device called SMILE was developed for rapid and accurate detection of AFB1 in food samples. SMILE showed high sensitivity, specificity, and reproducibility, making it a promising tool for point-of-need testing of AFB1 and other trace contaminants.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Metallurgy & Metallurgical Engineering
Guo Dong, Li Gen, Miao Jia-qi, Shen Ya-jing
Summary: This paper presents a smartphone-based portable urinalysis system that significantly improves the accuracy and stability of traditional colorimetric analysis methods for urine examination results. The system is easy to operate and can be used for rapid routine check-ups.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2021)
Article
Chemistry, Analytical
Francesca Malvano, Roberto Pilloton, Alfredo Rubino, Donatella Albanese
Summary: This work developed an impedimetric label-free immunosensor for detecting deoxynivalenol (DON). The immunosensor showed high sensitivity and low detection limit through layer-by-layer development and antigen/antibody interaction studies. It was successfully used for the quantification of DON in pasta samples.
Article
Biochemical Research Methods
Zhongyun Yuan, Mengshu Han, Donghao Li, Runfang Hao, Xing Guo, Shengbo Sang, Hongpeng Zhang, Xingyi Ma, Hu Jin, Zhijin Xing, Chun Zhao
Summary: In this study, we developed a novel smartphone-based device using advanced methods of magnetoelastic immunosensing to measure the concentration of C-Reaction Protein (CRP). Compared with the current methods that require hospital-based instruments, high-cost reagents, and complex processes, our device has advantages of smaller size, faster speed, and lower cost, making it suitable for modern home-based diagnosis.
Article
Environmental Sciences
Rajib Biswas, Chinmay Barman, Ashamoni Neog, Sankar Biswas, Nirmal Mazumder
Summary: The proliferation of heavy metal ions in water is a serious problem that is escalating. Rapid detection of these ions in an aqueous solution is of immense significance. To address the growing concentration of heavy metal ions, a facile and cost-effective sensing scheme based on intensity modulation is proposed. The scheme, comprising of a smartphone, light source, and analyte, can detect heavy metal ions at ppb level with an average limit of detection (LOD) of approximately 0.5 ppb. Additionally, the scheme shows a recovery level of approximately 95% when assessing spiked tap water, indicating its applicability. Overall, this sensing scheme with minimal logistics has the potential to replace complex analysis procedures using bulky and sophisticated instruments.
Article
Biology
Jose Montoya Mira, Ajay A. Sapre, Brett S. Walker, Jesus Bueno Alvarez, Kyle T. Gustafson, Eugene Tu, Jared M. Fischer, Melissa H. Wong, Sadik Esener, Yu-Jui Chiu
Summary: Researchers have developed a label-free dielectrophoretic microfluidic platform for the enrichment of circulating hybrid cells (CHCs), showing promising potential for isolating tumor cells non-invasively from patient blood samples within one hour. They have optimized the device using in vitro models and successfully applied it to clinically relevant mutation analyses in 75% of the samples tested.
COMMUNICATIONS BIOLOGY
(2021)
Article
Multidisciplinary Sciences
Manju Sharma, Maulee Sheth, Holly M. Poling, Damaris Kuhnell, Scott M. Langevin, Leyla Esfandiari
Summary: Nano-scale extracellular vesicles have emerged as valuable biomarkers for various diseases. However, efficient isolation methods are needed to maintain yield and purity for their diagnostic, prognostic, and therapeutic applications. Most conventional methods suffer from drawbacks including low purity, long duration, large sample volumes, and high costs. To address these challenges, a novel insulator-based dielectrophoretic device has been developed for rapid isolation, maintaining biomolecular integrity.
SCIENTIFIC REPORTS
(2023)
Article
Biochemistry & Molecular Biology
Todd Hollon, Cheng Jiang, Asadur Chowdury, Mustafa Nasir-Moin, Akhil Kondepudi, Alexander Aabedi, Arjun Adapa, Wajd Al-Holou, Jason Heth, Oren Sagher, Pedro Lowenstein, Maria Castro, Lisa Irina Wadiura, Georg Widhalm, Volker Neuschmelting, David Reinecke, Niklas von Spreckelsen, Mitchel S. Berger, Shawn L. Hervey-Jumper, John G. Golfinos, Matija Snuderl, Sandra Camelo-Piragua, Christian Freudiger, Honglak Lee, Daniel A. Orringer
Summary: DeepGlioma is a multimodal deep learning approach that utilizes stimulated Raman histology and large-scale public genomic data to accurately predict molecular alterations for diffuse glioma diagnosis.
Article
Chemistry, Analytical
Mi Shi, Lin Wang, Zhenda Xie, Liang Zhao, Xueji Zhang, Meiqin Zhang
Summary: A methodology combining P-SECM and an addressable microwell array dramatically shortened the time consumption for topography detection and ALP activity evaluation of single cells compared with traditional SECM imaging. By implementing the dual-mediator-based voltage-switching mode, the platform investigated ALP activity in hundreds of tumor and stromal cells, revealing higher ALP activity in cancer cells and heterogeneous distribution of ALP activity at the single-cell level. This platform holds potential as a high-content screening tool for label-free single-cell analysis with deterministic routing of addressed cells on a scalable microfluidic device.
ANALYTICAL CHEMISTRY
(2021)
Article
Engineering, Electrical & Electronic
V. S. N. V. Sitaramgupta, Tushar Sakorikar, Hardik J. Pandya
Summary: This paper presents a smart catheter technology that integrates MEMS sensors and vibrotactile force feedback for force measurement and feedback in minimally invasive surgical procedures. The electrical connections between the fabricated force sensor and measurement system are achieved through a 3D-integrated sensor packaging. The working model of the catheter is demonstrated on porcine heart tissues.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Biochemical Research Methods
Arif Mohd Kamal, Uttam M. Pal, Adithya Kumar, Gunabhi Ram Das, Hardik J. Pandya
Summary: A robust, affordable, and portable light emitting diode-based diagnostic tool using a polarization-sensitive technique was developed to quantify linear and circular polarization in tissues. The study showed that malignant tissues had lower polarization values compared to adjacent normal tissues at operating wavelengths of 850 and 940 nm. The highest accuracy was achieved for linear polarization at 850 nm, indicating potential for differentiating malignant tissues from normal tissues.
JOURNAL OF BIOPHOTONICS
(2022)
Article
Computer Science, Information Systems
B. S. Arjun, Anil G. K. Vishnu, Shilpa Rao, Manish Beniwal, Hardik J. Pandya
Summary: The study presents the development of an automated system that can accurately differentiate brain tumors from healthy tissues by measuring the electrical resistivity. The results show that the resistivity of tumors is significantly lower than normal tissues, and this trend is preserved after tissue fixation. The study also reveals the effects of tissue heterogeneity and fixation on the electrical properties of brain tissues.
Article
Nanoscience & Nanotechnology
G. K. Anil Vishnu, Gayatri Gogoi, Bhagaban Behera, Saeed Rila, Annapoorni Rangarajan, Hardik J. Pandya
Summary: This study reports a MEMS-based platform integrated with microchips for phenotyping of breast biopsy tissues using electrothermal sensing. The results show that a combination of bulk resistivity, surface resistivity, and thermal conductivity can be used to accurately distinguish breast tumors from adjacent normal tissues.
MICROSYSTEMS & NANOENGINEERING
(2022)
Article
Engineering, Biomedical
Rathin K. Joshi, M. Varun Kumar, Megha Agrawal, Avinash Rao, Latika Mohan, M. Jayachandra, Hardik J. Pandya
Summary: This study developed a quick, robust, and accurate algorithm to classify epileptic seizures, reducing the workload of neurologists for epilepsy screening and identifying important features of epileptic activities.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Genetics & Heredity
Panagiotis Cherouveim, Victoria S. Jiang, Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, Irene Souter, Irene Dimitriadis, Charles L. Bormann, Hadi Shafiee
Summary: This study evaluated the utility of an AI-QA tool in monitoring the performance of ART staff. The results showed that AI could accurately predict the implantation rates of embryo transfers and embryo thawing procedures, and in some cases, the actual performance of certain providers was lower than the AI predictions. This indicates that AI-based QA tools can provide accurate, reproducible, and efficient staff performance monitoring.
JOURNAL OF ASSISTED REPRODUCTION AND GENETICS
(2023)
Article
Genetics & Heredity
Victoria S. Jiang, Deeksha Kartik, Prudhvi Thirumalaraju, Hemanth Kandula, Manoj Kumar Kanakasabapathy, Irene Souter, Irene Dimitriadis, Charles L. Bormann, Hadi Shafiee
Summary: This study investigates the use of deep learning artificial intelligence algorithms to accurately identify key morphologic landmarks on oocytes and cleavage stage embryo images for micromanipulation procedures. Two convolutional neural network models were trained and tested, demonstrating the potential of deep CNN models in accurately identifying these landmarks. These findings are important for the automation of micromanipulation procedures.
JOURNAL OF ASSISTED REPRODUCTION AND GENETICS
(2023)
Article
Engineering, Biomedical
Nitu Bhaskar, Midhun C. Kachappilly, Venkatesh Bhushan, Hardik J. Pandya, Bikramjit Basu
Summary: The study investigates the effect of electroactive properties and electrical stimulation (ES) on the cell proliferation, migration, and maturation of osteoprogenitors. Barium titanate (BaTiO3) and multiwalled carbon nanotubes (MWCNT) were incorporated into poly (vinylidene difluoride) (PVDF)-based composites, which enhanced the dielectric permittivity, electrical conductivity, and surface roughness. A customized 12-well plate-based device was used to provide different types of ES to cells in culture. Under ES, the PVDF composite facilitated the adhesion, proliferation, migration, and differentiation of preosteoblasts, supporting osteogenesis. The synergistic interactions of ES with the piezoelectric PVDF-based polymer composite show promise in bone tissue engineering.
JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A
(2023)
Review
Biochemical Research Methods
P. Haripriya, Madhavan Rangarajan, Hardik J. Pandya
Summary: Early disease detection can lead to reduced mortality rate and improved prognosis. Current invasive techniques like biopsy and imaging are expensive and not accessible to a large population. Non-invasive disease screening methods are needed, with exhaled breath VOC analysis showing promise. This review focuses on using exhaled breath VOC biomarkers for screening liver diseases and head and neck cancer, and also describes sensor-based approaches and machine learning techniques used for detection.
JOURNAL OF BREATH RESEARCH
(2023)
Review
Engineering, Biomedical
Arif Mohd. Kamal, Tushar Sakorikar, Uttam M. Pal, Hardik J. Pandya
Summary: Breast cancer is a major cause of death among women, and the accuracy of diagnosis and monitoring during treatment is limited, making the patient's survival rate uncertain. Early and effective diagnosis, distinguishing diseased tissue from normal breast tissue, is key to controlling breast cancer. A multimodal diagnostic tool that assesses optical, electrical, and mechanical tissue properties can enhance clinical findings and aid accurate and rapid cancer diagnosis.
IEEE REVIEWS IN BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Anju Joshi, G. K. Anil Vishnu, P. K. Smitha, Ashlesh Kadandale, R. S. Hari, Bidipta Roy, Manjula Das, Hardik J. Pandya
Summary: This study presents a multiplexed lab-on-printed circuit board (PCB) platform for label-free immunosensing of SARS-CoV-2 antigens using electrical impedance measurements. The sensor consists of an interdigitated electrode integrated on a PCB with microwells for sample loading. A biofunctionalization strategy is employed to immobilize dual antibodies on the device surface for sensitive and rapid antigen testing. Electrical impedance measurements using the PalmSens Sensit Smart system showed a detection limit of 40 and 20 pg for nucleocapsid and spike proteins, respectively. Experiments with nasopharyngeal swab samples from healthy and SARS-CoV-2 positive subjects showed distinct electrical responses for high viral load subjects compared to healthy subjects and controls.
IEEE SENSORS LETTERS
(2023)
Article
Biochemistry & Molecular Biology
Amy Makler, Waseem Asghar
Summary: Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer-related deaths in the United States, creating a need for sensitive detection methods. Exosomal biomarker panels offer promise for PDAC screening. In this study, a four-marker panel of miRNAs (miR-93-5p, miR-339-3p, miR-425-5p, and miR-425-3p) showed high diagnostic accuracy for PDAC.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Chemistry, Analytical
Isaac Goldstein, Sobia Alyas, Waseem Asghar, Azhar Ilyas
Summary: Circulating tumor cells (CTCs), shed from tumors and circulating in the bloodstream, play a crucial role in cancer metastasis. Analyzing CTCs through liquid biopsy can significantly enhance researchers' understanding of cancer biology. However, the sparsity of CTCs poses a challenge in their detection and capture. This paper discusses and compares various biosensing techniques for isolating, detecting, and releasing/detaching CTCs, aiming to evaluate their efficacy, specificity, and cost in point-of-care (POC) settings.
Review
Oncology
Saheed Oluwasina Oseni, Corey Naar, Mirjana Pavlovic, Waseem Asghar, James X. X. Hartmann, Gregg B. B. Fields, Nwadiuto Esiobu, James Kumi-Diaka
Summary: This review explores the role of chronic inflammation in prostatic diseases and suggests a paradigm shift in the investigation of less-explored molecules as therapeutic targets. The article comprehensively discusses aberrant signaling in relation to prostate cancer stemness, neuroendocrine differentiation, castration resistance, metabolic reprogramming, and immunosuppression. The interleukin-1 receptor-associated kinases (IRAKs) signaling pathway is proposed as a potential therapeutic strategy to manage chronic inflammation-driven prostatic diseases.
Review
Chemistry, Analytical
Sreenivas Bhaskara, Tushar Sakorikar, Suman Chatterjee, K. V. Shabari Girishan, Hardik J. Pandya
Summary: Research on technologies for understanding brain functions and treating neurological disorders is a crucial area in neuroscience. The development of microelectrode devices, driven by technological advancements, has led to the creation of a new class of engineered devices that provide seamless neural interfaces in animal models. These devices show potential for treating neurological disorders such as epilepsy and Parkinson's disease.
SENSING AND BIO-SENSING RESEARCH
(2022)
