Results 151 to 160 of about 884 (213)

Bioconversion and characterization of watermelon rind waste‐based microcrystalline cellulose: A green alternative to synthetic reinforcements

open access: yesPolymer International, EarlyView.
Microcrystalline cellulose (MCC) was extracted from watermelon rind using acid hydrolysis. MCC can be efficiently used as reinforcement in biofilms and biocomposites. Abstract The increasing accumulation of agricultural waste from watermelon (Citrullus lanatus) represents a substantial environmental concern, particularly in view of the extensive ...
Indran Suyambulingam   +7 more
wiley   +1 more source

SPROUTS_DB: An Implemented Database of Contaminants for Extracellular Vesicle Proteomics Studies

open access: yesPROTEOMICS, EarlyView.
ABSTRACT Current proteomics techniques allow rapid identification and quantification of proteins within any given biological source. However, LC–MS/MS proteomics is vulnerable to laboratory and sample‐associated contaminants. Therefore, accurate identification and annotation of such contaminants is crucial for development of reliable databases ...
Maria Gaetana Giovanna Pittalà   +10 more
wiley   +1 more source

Qualitative comparison of decalcifiers for mouse bone cryosections for subsequent biophotonic analysis. [PDF]

open access: yesSci Rep
Mandal S   +10 more
europepmc   +1 more source

The Age and Origin of Block Deposits in the Victorian Alps, Australia

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT Large periglacial block deposits are found in the mountains of southeastern Australia. Despite their widespread distribution, their mode of formation and age are poorly understood. These landforms hold considerable potential to shed light on the nature of cooling during glacial periods. In this paper we present a new study of block deposits in
Timothy T. Barrows   +4 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

Deciphering the Tumor Uptake of Heterobivalent (SST<sub>2</sub>/Albumin) [<sup>64</sup>Cu]Cu-NODAGA-cLAB-TATEs. [PDF]

open access: yesJ Med Chem
Brandt F   +8 more
europepmc   +1 more source

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