Bio Photonics Research

  1. Introduction Breast cancer remains one of the most significant causes of morbidity and mortality among women globally. Traditional diagnostic approaches, such as tissue biopsies, though effective, are often invasive, expensive, and require considerable clinical expertise. This study addresses the growing need for less invasive, rapid, and cost-effective diagnostic alternatives by exploring a liquid biopsy-based strategy using microRNA detection. Specifically, it introduces a novel electrochemical biosensor designed to identify miRNA-34a, a known biomarker of breast cancer, thereby offering a promising solution for early and accurate disease detection. 2. Development of a Two-Dimensional Nanocomposite-Based Biosensor The biosensor developed in this research employs a composite of reduced graphene oxide (rGO) and molybdenum disulfide (MoS₂), chosen for their synergistic physicochemical properties. These two-dimensional materials exhibit high surface area and electrical condu...

1. Introduction Meat quality and safety are pivotal concerns in food science and consumer health. Traditional testing methods, while accurate, often involve complex, time-consuming, and sometimes destructive processes. In contrast, fluorescence spectroscopy has emerged as a powerful, non-destructive, and rapid analytical technique for assessing the quality and safety of meat products. This review explores how fluorescence-based technologies can revolutionize the monitoring and evaluation of meat, aligning with industry demands for efficiency and precision. 2. Principles of Fluorescence Spectroscopy in Meat Quality Detection Fluorescence spectroscopy relies on the interaction between light and matter, where certain compounds in meat absorb light at a specific wavelength and emit it at a longer wavelength. These fluorescence signatures can reveal critical information about the biochemical and structural properties of meat. Understanding the fundamental detection principles enables the...

1. Introduction Intracellular biosensors based on transcriptional regulators have emerged as critical tools in the realm of biomanufacturing, especially for monitoring intracellular metabolites and aiding in strain optimization. Corynebacterium glutamicum, as a robust industrial microorganism, offers an excellent platform for deploying these biosensors, thereby enhancing the precision of biochemical production processes. This review focuses on the key roles, design principles, and improvements related to transcriptional regulator-based biosensors in C. glutamicum, paving the way for future advancements in microbial engineering. 2. Types and Mechanisms of Transcriptional Regulators in C. glutamicum Transcriptional regulators, including repressors and activators, serve as the core sensing elements of intracellular biosensors. In C. glutamicum, regulators like LysG, Lrp, and AmtR recognize specific metabolites and trigger responsive genetic circuits. Understanding the interaction betwee...

1. Introduction L-arginine (L-arg) plays a pivotal role in numerous physiological processes, including protein synthesis and nitric oxide production. Accurate quantification of L-arg in complex real-world samples such as food matrices presents a significant analytical challenge. This study presents the development of a novel conductometric biosensor that addresses these challenges by integrating enzyme specificity and material selectivity for enhanced analytical performance. 2. Biosensor Design and Component Configuration The biosensor was constructed using a co-immobilization strategy involving two enzymes—arginase and urease—alongside an ammonium-sensitive zeolite, clinoptilolite (Clt). Various configurations were tested to optimize signal sensitivity, with the most effective design featuring a base layer of Clt on the gold interdigitated electrode surface, followed by the enzyme layer. This arrangement maximized substrate interaction and ion selectivity, crucial for biosensor perfor...

  INTRODUCTION Recent advances in mobile technology have introduced powerful sensing capabilities in consumer devices, including depth sensing based on time-of-flight (ToF) LiDAR integrated into Apple’s iPhone 13 Pro and similar models. This study investigates the feasibility and limitations of such LiDAR systems in capturing structural vibrations for modal analysis, a critical tool in structural health monitoring. By employing a flexible vibrating target and comparing data against a high-precision laser displacement transducer, the study assesses the mobile LiDAR system’s accuracy and utility. The overarching goal is to evaluate whether consumer-grade mobile devices can be effectively employed for non-contact vibration measurement in academic and field-based research settings. CHARACTERIZATION OF LIDAR SENSOR PERFORMANCE To assess the LiDAR's effectiveness in capturing vibration data, the system was tested on a flexible steel cantilever setup. Noise levels, frequency response, and...

  INTRODUCTION 🔍 The advancement of laser cutting technology has significantly improved manufacturing processes, particularly in dealing with engineering materials such as mild steel (HA350), aluminium (Al5005), and stainless steel (SS316). Fibre laser cutting, known for its precision and efficiency, is widely adopted across industries, yet its interactions with different materials are complex and require in-depth study. This research investigates the influence of laser cutting parameters on key material responses including surface roughness, hardness, kerf width, and the laser-affected area. The findings aim to provide a clearer understanding of how intrinsic material properties affect cutting performance, surface integrity, and overall quality, laying the foundation for optimizing manufacturing settings for various materials. INFLUENCE OF MATERIAL PROPERTIES ON LASER RESPONSE 🧪 The behaviour of each material under fibre laser cutting is inherently linked to its physical and ...