Evidence map›Paper›PMID 35010158›Full record

ArticleFoods (Basel, Switzerland)2021

A FT-NIR Process Analytical Technology Approach for Milk Renneting Control.

Silvia Grassi, Lorenzo Strani, Cristina Alamprese, Nicolò Pricca, Ernestina Casiraghi, Giovanni Cabassi

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Silvia GrassiDepartment of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Via Giovanni Celoria 2, 20133 Milan, Italy.ORCID 0000-0002-2102-9713
Lorenzo StraniDepartment of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Via Giovanni Celoria 2, 20133 Milan, Italy.
Cristina AlampreseDepartment of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Via Giovanni Celoria 2, 20133 Milan, Italy.ORCID 0000-0002-9119-6752
Nicolò PriccaCentro di ricerca Zootecnia e Acquacoltura (CREA-ZA), Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria, Via Antonio Lombardo 11, 26900 Lodi, Italy.
Ernestina CasiraghiDepartment of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Via Giovanni Celoria 2, 20133 Milan, Italy.
Giovanni CabassiCentro di ricerca Zootecnia e Acquacoltura (CREA-ZA), Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria, Via Antonio Lombardo 11, 26900 Lodi, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study proposes a process analytical technology (PAT) approach for the control of milk coagulation through near infrared spectroscopy (NIRS), computing multivariate statistical process control (MSPC) charts, based on principal component analysis (PCA). Reconstituted skimmed milk and commercial pasteurized skimmed milk were mixed at two different ratios (60:40 and 40:60). Each mix ratio was prepared in six replicates and used for coagulation trials, monitored by fundamental rheology, as a reference method, and NIRS by inserting a probe directly in the coagulation vat and collecting spectra at two different acquisition times, i.e., 60 s or 10 s. Furthermore, three failure coagulation trials were performed, deliberately changing temperature or rennet and CaCl

Indexed as

FT-NIR spectroscopyIndustry 4.0milk coagulationMSPCmultivariate statistical process control chartsPATskimmed milk powder

Identifiers

PMID35010158
PMCPMC8750718

What OpenQuestion holds

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Registered trials

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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.