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Record W1737370605 · doi:10.1002/9780470027318.a1517

Turbidimetry in Particle Size Analysis

2000· other· en· W1737370605 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEncyclopedia of Analytical Chemistry · 2000
Typeother
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTurbidimetryTurbiditySuspension (topology)Light scatteringParticle sizeOpticsScatteringParticle (ecology)Particle-size distributionMaterials scienceAbsorption (acoustics)Dynamic light scatteringAnalytical Chemistry (journal)ChemistryNanotechnologyChromatographyPhysicsNanoparticleMathematics

Abstract

fetched live from OpenAlex

Abstract The size of particles in a suspension can be estimated by measuring the turbidity of the suspension. Turbidity measures the attenuation of a beam of light traveling through the suspension caused by the scattering and absorption of light by the particles. The amount of scattering and absorption depends on the size of the particles and their concentration in the suspension. Most of the reported applications in the literature use turbidimetry for the estimation of the particle size distribution (PSD) or an average size for particles with diameters ranging from 0.035 to 50 µm. Turbidimetric techniques are low cost, experimentally simple, fast, nondestructive and require no calibration. They are robust methods with very good reproducibility and can be used either off‐ or on‐line, in a laboratory or a plant environment. They have been used for particle or droplet size determination in a variety of diverse systems such as latex particles, silver bromide sols and cow's milk. Most of the time common ultraviolet/visible (UV/VIS) spectrophotometers are utilized for the turbidity measurements. Certain modifications may be necessary on these instruments depending on the size of the particles. The turbidity of the suspension is measured and the size of the particles or the PSD is estimated utilizing light scattering theory. For spherical isotropic homogeneous particles and absence of multiple scattering this theory is well established. The extension to nonspherical and inhomogeneous particles is a field of active research yielding numerous publications. A controversy existed in the literature regarding the capability of turbidimetry to provide the full PSD but has now been resolved. For polydisperse suspensions, for certain combinations of particle sizes and optical properties, the method cannot provide the full PSD, but only an average of the PSD. This limitation is simply a result of the light scattering patterns and it is expected theoretically. In some cases it can be overcome by simply altering the optical properties of the suspension (i.e. choosing the proper wavelengths for the turbidity measurements or a medium with a different refractive index to suspend the particles). To make the best use of the method and interpret the results in a meaningful way one should be aware of this limitation and work with it. When this is done, excellent results can be achieved. The advantages of the method and a good knowledge of its capabilities make it a very robust choice for many applications. The numerous reports from the successful application of the method are a testimony to this.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.331
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0530.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.240
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it