Vignesh Kumar Balasubramanian

Polylactic acid (PLA) is one of the most widely used biodegradable bioplastics; however, its slow degradation under natural conditions limits its environmental sustainability. This review summarizes recent advances in microbial and biotechnological strategies that enhance PLA biodegradation across diverse ecosystems. Emerging approaches include screening insect gut microbiota, isolating fungal species with strong adsorption or enzymatic capacities, and exploring soil, compost, and aquatic microbiomes using metagenomics and environmental DNA (eDNA) tools. Microbial consortia, thermophilic degraders, and co-culture systems are highlighted as effective solutions to overcome the intrinsic crystallinity and hydrolysis-dependent breakdown of PLA. Beyond natural systems, this review emphasizes the increasing role of synthetic biology, directed evolution, and artificial intelligence (AI) in engineering high-performance PLA-degrading enzymes. AI-driven structural prediction and machine-learning platforms offer new possibilities for designing robust depolymerases with improved specificity, thermostability, and catalytic efficiency. Collectively, these multidisciplinary strategies provide a roadmap for accelerating PLA degradation in industrial composting, wastewater treatment, and bioremediation. Future integration of ecological screening with computational enzyme engineering is expected to advance scalable and sustainable PLA waste management.

Lactic acid is the meekest hydroxyl carboxylic acid (2-hydroxy propionic acid) which is a colorless, odorless, hygroscopic, organic compound with no toxic effect, a very inevitable and versatile chemical used in the Food, cosmetics, textile, and pharmaceutical industries for very long years. Lactic acid was produced as non-racemic when specific microbial strains were used; therefore, microbial fermentation gained more attention. Albeit the substratum used for the microbial fermentation price is much exorbitant. Wherefore, identifying the best and cheap substrates is a bottleneck for the scientific community. Sugarcane molasses is the best source of components for microbial growth and cheap raw material for Lactic acid fermentation. This study produced sustainable lactic acid from sugarcane molasses by the Bacillus amyloliquefaciens J2V2AA strain with a higher production of 178 gm/L/24 h. The produced lactic acid was characterized and analyzed by UV-Visible Spectrum, FTIR Spectrum, TLC, and HPLC.

Improvement of edible bananas (a triploid and sterile crop) through conventional breeding is a challenging task owing to its recalcitrant nature for seed set, prolonged crop duration. In addition, the need of huge man power at different stages of progeny development and evaluation often leads to mislabeling, poor data management and loss of vital data. All this can be overcome by the application of advanced information technology source. This ensured secure and efficient data management such as storage, retrieval and data analysis and further could assist in tracking the breeding status in real time. Thus, a user-friendly web-based banana breeding tracker (BBT) has been developed using MySQL database with Hypertext Preprocessor (PHP). This BBT works on all operating systems with access to multiple users from anywhere at any time. Quick responsive (QR) code labels can be generated by the tracker, which can be decoded using QR scanner. Also for each and every updated progress in breeding stages, a new QR code can be generated, which in turn reduce labeling errors. Moreover, the tracker has additional tools to search, sort and filter the data from the data sets for efficient retrieval and analysis. This tracker is being upgraded with phenotypic and genotypic data that will be made available in the public domain for hastening the banana improvement program.