RESUMO
Laser-scribed graphene (LSG), a classic three-dimensional porous carbon nanomaterial, is directly fabricated by laser irradiation of substrate materials. Benefiting from its excellent electrical and mechanical properties, along with flexible and simple preparation process, LSG has played a significant role in the field of flexible sensors. This review provides an overview of the critical factors in fabrication, and methods for enhancing the functionality of LSG. It also highlights progress and trends in LSG-based sensors for monitoring physiological indicators, with an emphasis on device fabrication, signal transduction, and sensing characteristics. Finally, we offer insights into the current challenges and future prospects of LSG-based sensors for health monitoring and disease diagnosis.
RESUMO
This study provides the candidate sequences in the identification of Radix et Rhizoma Clematidis and its adulterants using DNA barcoding. We amplified and sequenced the region psbA-trnH, with the data of 284 sequences from GenBank, the differential intra- and inter-specific divergences, genetic distance, barcoding gap were used to evaluate five barcodes, and the identification efficiency was assessed using BLAST1 and Nearest Distance methods. The results showed that psbA-trnH barcodes performed high identification efficiency and inter-specific divergences among the five different DNA barcodes. Analysis of the barcoding gap and NJ tree showed psbA-trnH was superior to other barcodes. Based on the identification and PCR amplification efficiency, psbA-trnH can be the ideal barcode to identify Radix et Rhizoma Clematidis and its adulterants accurately.
Assuntos
Código de Barras de DNA Taxonômico/métodos , DNA de Plantas/genética , Plantas Medicinais/genética , Ranunculaceae/genética , Contaminação de Medicamentos , Técnicas de Amplificação de Ácido Nucleico/métodos , Raízes de Plantas/genética , Plantas Medicinais/classificação , Ranunculaceae/classificação , Rizoma/genética , Especificidade da EspécieRESUMO
To establish a new method for identifying genus of Lilium by DNA barcoding technology, ITS, ITS2, psbA-trnH, matK and rbcL sequences were analyzed in term of variation of inter- and intra-species, barcoding gap, neighbor-joining tree to distinguish genus of Lilium based on 978 sequences from experimental and GenBank database, and identification efficiency was evaluated by Nearest distance and BLAST1 methods. The results showed that DNA barcoding could identify different species in genus of Lilium. ITS sequence performed higher identification efficiency, and had significant difference between intra- and inter-species. And NJ tree could also divide species into different clades. Results indicate that DNA barcoding can identify genus of Lilium accurately. ITS sequence can be the optimal barcode to identify species of Lilium.
