ReviewAnalytica chimica acta: X2021
Differential light scattering and the measurement of molecules and nanoparticles: A review.
Review in Analytica chimica acta: X, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Polydopamine Nanotubes: Multifunctional Smart Nanotransducers for Cellular Activity Modulation.ACS nano · 2026Article
- Optical imaging and spectroscopic characterization of subvisible particles in protein therapeutics.Advanced drug delivery reviews · 2026Review
- Biosynthesis of trimetallic nanoparticles and their biological applications: a recent review.Archives of microbiology · 2025Review
- Review
- Article
- Structural Color from Cellulose Nanocrystals or Chitin Nanocrystals: Self-Assembly, Optics, and Applications.Chemical reviews · 2023Review
- A Critical Analysis of the FDA's Omics-Driven Pharmacodynamic Biomarkers to Establish Biosimilarity.Pharmaceuticals (Basel, Switzerland) · 2023Review
- A new nanobiotic: synthesis and characterization of an albumin nanoparticle with intrinsic antibiotic activity.Iranian journal of microbiology · 2023Article
- Validation of an FFF-MALS Method to Characterize the Production and Functionalization of Outer-Membrane Vesicles for Conjugate Vaccines.Analytical chemistry · 2022Article
- Recent Trends in the Preparation of Nano-Starch Particles.Molecules (Basel, Switzerland) · 2022Review
- An Extended Reservoir of Class-D Beta-Lactamases in Non-Clinical Bacterial Strains.Microbiology spectrum · 2022Article
- Optical imaging spectroscopy for rapid, primary screening of SARS-CoV-2: a proof of concept.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Within the past few decades, the application of light scattering techniques to a broad range of scientific disciplines has increased significantly, especially in the field of analytical chemistry. The resulting interest in and use of light scattering methods suggests the need for an easily understood introduction and review of material for those new to the method as well as for current users in need of a refresher. In many respects, the theory and its applications may appear so overwhelming for many studying the field for the first time, that they rarely can spend the time just needed to understand the basic measurements and their interpretations. A variety of applications in analytical chemistry especially have resulted in a greater understanding of many of the macromolecular processes themselves from molar mass distributions, to the macromolecular interactions responsible for aggregation processes, to determinations of structure and function. The use of such analytical processes to obtain a better understanding of nanoparticle structure and function has become almost universal.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.