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Polymers: Defining Molecular Weight01:01

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Unlike small molecules with definite molecular weights, polymers are a mixture of individual polymer chains of varying lengths, each with a unique molecular weight. So, the molecular weight of a polymer is expressed as an average value based on the average size of the polymer chains. The two most common forms of averages used for polymers are the number average molecular weight and weight average molecular weight.
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For any given polymer, the weight average molecular weight (Mw) is higher than, if not equal to, the number average molecular weight (Mn). The only situation in which the weight average molecular weight and the number average molecular weight are equal is when a polymer consists only of chains with equal molecular weight. However, this never happens in a synthetic polymer, since it is difficult to control the polymerization process up to a molecular level with accuracy to a hundred percent.
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Polymer Classification: Architecture01:14

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Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...
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Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
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Bioplastics derived from microbial processes present a sustainable alternative to conventional petroleum-based plastics. Among these, polyhydroxyalkanoates (PHAs), particularly polyhydroxybutyrates (PHBs), have emerged as prominent candidates due to their biodegradability and biocompatibility. These polymers are synthesized by a variety of bacteria, such as Cupriavidus necator and Pseudomonas putida, which naturally accumulate PHAs as intracellular carbon and energy reserves, especially under...
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Polyethylene terephthalate (PET) is a synthetic polymer widely utilized in the packaging industry, particularly for bottles and containers. Due to its chemical stability and durability, PET accumulates in the environment, contributing significantly to plastic pollution. It comprises repeating units of terephthalic acid and ethylene glycol, resulting in a semi-crystalline structure that is resistant to natural degradation processes.A notable breakthrough in plastic biodegradation came with the...
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From a Global Archived Data Perspective: Larger Bivalves Mean More Microplastics?

Xiaohui Wang1,2,3, Khalida Jabeen1,2,3, Lixin Zhu1,2,3

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Environmental Science & Technology
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Microplastic (MP) contamination in bivalves is widespread. Larger bivalves accumulate more MPs per individual, but less per gram, with soft tissue weight aiding MP abundance estimation.

Keywords:
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Area of Science:

  • Marine Biology
  • Environmental Science
  • Ecotoxicology

Background:

  • Bivalves are a vital global seafood source.
  • Microplastic (MP) contamination is documented in bivalves worldwide.
  • The influence of bivalve biometric parameters on MP burden is understudied.

Purpose of the Study:

  • To investigate the relationship between bivalve biometric parameters and microplastic burden.
  • To estimate global microplastic intake through bivalve consumption.
  • To identify reliable parameters for assessing MP contamination in commercial bivalves.

Main Methods:

  • Meta-analysis of published data on microplastics in bivalves.
  • Global data compilation including 102 species and approximately 40,000 individuals.
  • Statistical analysis of correlations between MP abundance and bivalve shell length and soft tissue weight.

Main Results:

  • A positive linear correlation between MP abundance (items/individual) and bivalve shell length.
  • A negative exponential relationship between MP abundance (items/g) and bivalve shell length.
  • Estimated global bivalve dietary intake of 6.39 × 10^12 MPs in 2022.
  • Soft tissue wet weight identified as a useful parameter for MP abundance estimation.

Conclusions:

  • Bivalve size influences microplastic accumulation patterns.
  • Larger bivalves contain more individual microplastics but lower concentrations by weight.
  • Soft tissue weight offers a practical metric for market and aquafarm bivalve MP assessment.
  • This research provides critical insights into global bivalve microplastic contamination characterization.