A Preliminary Report for the Design of MoS (Micro-Olive-Spreadsheet), a User-Friendly Spreadsheet for the Evaluation of the Microbiological Quality of Spanish-Style Bella di Cerignola Olives from Apulia (Southern Italy).

Antonio Bevilacqua, Barbara Speranza, Daniela Campaniello, Milena Sinigaglia, Maria Rosaria Corbo

Open access · goldAbstract read

In one paragraph

Article in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

0.2field-weighted citation impact, top 46% of its field

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

1 citing paper in PubMed, 1 citations in OpenAlex.

Characterization and Processing of Table Olives: A Special Issue.Foods (Basel, Switzerland) · 2020
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

5 authors at 1 institution in 1 country.

Antonio BevilacquaDepartment of the Science of Agriculture, Food and Environment, University of Foggia, 71122 Foggia, Italy.

Barbara SperanzaDepartment of the Science of Agriculture, Food and Environment, University of Foggia, 71122 Foggia, Italy.

Daniela CampanielloDepartment of the Science of Agriculture, Food and Environment, University of Foggia, 71122 Foggia, Italy.

Milena SinigagliaDepartment of the Science of Agriculture, Food and Environment, University of Foggia, 71122 Foggia, Italy.

Maria Rosaria CorboDepartment of the Science of Agriculture, Food and Environment, University of Foggia, 71122 Foggia, Italy.

University of Foggia · IT

Funding

Regione Puglia QCBRAJ6

6 · The paper itself

Abstract

A user friendly spreadsheet (Excel interface), designated MoS (Micro-Olive-Spreadsheet), is proposed in this paper as a tool to point out spoiling phenomena in Bella di Cerignola olive brines. The spreadsheet was designed as a protected Excel worksheet, where users input values for the microbiological criteria and pH of brines, and the output is a visual code, much like a traffic light: three red cells indicate a spoiling event, while two red cells indicate the possibility of a spoiling event. The input values are: a) Total Aerobic Count (TAC); b) Lactic Acid Bacteria (LAB); c) yeasts; d) staphylococci; e) pH. TAC, LAB, yeasts, and pH are the input values for the first section (quality), while staphylococci count is the input for the second section (technological history). The worksheet can be modified by adding other indices or by setting different breakpoints; however, it is a simple tool for an effective application of hazard analysis and predictive microbiology in table olive production.

Indexed as

Bella di Cerignolabrinesmicrobiological qualityproducerstable olivesuser-friendly spreadsheet

Identifiers

PMID32610531

DOI10.3390/foods9070848

PMCPMC7404787

OpenAlexW3037924929

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.