

The Family Income-to-Poverty-Ratio (FIPR) is a recognized indicator of socioeconomic status, and influences a wide range of health and behavioral outcomes. Yet, marginalized and racialized groups, particularly Black individuals, may not reap comparable health benefits from their socioeconomic advancements as their non-Hispanic, White counterparts. This discrepancy is indicative of a phenomenon known as the minorities' diminished returns.
This study investigates the differential impact of the FIPR on depression, obesity, tobacco use, and e-cigarette use between Black and White adults.
Using data from the 2022 National Health Interview Survey (NHIS), which included 21,354 non-Hispanic adults from both White and Black racial groups, this research employed structural equation modeling to assess the relationship between the FIPR and health outcomes, including depression, obesity, and e-cigarette use.
The analysis identified significant interactions between FIPR and race across all the examined outcomes. Contrary to expectations, the findings suggest that the protective effects of higher income levels on health and healthy behaviors are less pronounced for Black individuals compared to White individuals.
The study underscores the substantial societal and environmental barriers that hinder Black families and individuals from converting their FIPR and socioeconomic resources into concrete health benefits, such as an enhanced mental and physical well-being. To redress these racial health disparities, targeted interventions are crucial, particularly those that focus on bridging the employment and marriage rate gaps caused by educational disparities among Black communities. A comprehensive approach that extends beyond simple access to education is imperative to eliminate the societal obstacles that limit the socioeconomic benefits for Black populations.
Citation: Shervin Assari. Differential protective effects of Family Income-to-Poverty-Ratio on electronic cigarette, depression, and obesity of Black and White Americans[J]. AIMS Public Health, 2024, 11(4): 1157-1171. doi: 10.3934/publichealth.2024060
[1] | Cíntia Sorane Good Kitzberger, David Pot, Pierre Marraccini, Luiz Filipe Protasio Pereira, Maria Brígida dos Santos Scholz . Flavor precursors and sensory attributes of coffee submitted to different post-harvest processing. AIMS Agriculture and Food, 2020, 5(4): 700-714. doi: 10.3934/agrfood.2020.4.700 |
[2] | Ioannis K. Karabagias, Chara Papastephanou, Vassilios K. Karabagias . Geographical differentiation of Cypriot multifloral honeys through specific volatile compounds and the use of DFA. AIMS Agriculture and Food, 2019, 4(1): 149-162. doi: 10.3934/agrfood.2019.1.149 |
[3] | Cíntia Sorane Good Kitzberger, Maria Brígida dos Santos Scholz, João Batista Gonçalves Dias da Silva, Marta de Toledo Benassi, Luiz Filipe Protasio Pereira . Free choice profiling sensory analysis to discriminate coffees. AIMS Agriculture and Food, 2016, 1(4): 455-469. doi: 10.3934/agrfood.2016.4.455 |
[4] | Sapta Raharja, Yogi Purna Rahardjo, Samsudin, Khaswar Syamsu . Aroma precursor enhancing in dried cocoa beans fermentation using enzyme and heat addition. AIMS Agriculture and Food, 2023, 8(2): 674-686. doi: 10.3934/agrfood.2023037 |
[5] | Dody Dwi Handoko, Anisa Maharani Kaseh, Laras Cempaka, Wahyudi David, Bram Kusbiantoro, Afifah Zahra Agista, Yusuke Ohsaki, Hitoshi Shirakawa, Ardiansyah . Effects of household-scale cooking on volatile compounds, sensory profile, and hypotensive effect of Kenikir (Cosmos caudatus). AIMS Agriculture and Food, 2023, 8(1): 198-213. doi: 10.3934/agrfood.2023011 |
[6] | Ardiansyah, Fauziyyah Ariffa, Rizki Maryam Astuti, Wahyudi David, Dody Dwi Handoko, Slamet Budijanto, Hitoshi Shirakawa . Non-volatile compounds and blood pressure-lowering activity of Inpari 30 and Cempo Ireng fermented and non-fermented rice bran. AIMS Agriculture and Food, 2021, 6(1): 337-359. doi: 10.3934/agrfood.2021021 |
[7] | Siska Septiana, Nancy Dewi Yuliana, Boy Muchlis Bachtiar, Christofora Hanny Wijaya . Aroma-active compounds of Melaleuca cajuputi essential oil, a potent flavor on Cajuputs Candy. AIMS Agriculture and Food, 2020, 5(2): 292-306. doi: 10.3934/agrfood.2020.2.292 |
[8] | Esteban Largo-Avila, Carlos Hernán Suarez-Rodríguez, Jorge Latorre Montero, Madison Strong, Osorio-Arias Juan . The influence of hot-air mechanical drying on the sensory quality of specialty Colombian coffee. AIMS Agriculture and Food, 2023, 8(3): 789-803. doi: 10.3934/agrfood.2023042 |
[9] | Eleni C. Pappa, Efthymia Kondyli, Anna-Maria Vlachou, Athanasia Kakouri, Evdokia Malamou, John Samelis . Semi industrial production of Tsalafouti dairy product. AIMS Agriculture and Food, 2022, 7(2): 444-460. doi: 10.3934/agrfood.2022028 |
[10] | Cíntia Sorane Good Kitzberger, Maria Brígida dos Santos Scholz, Luiz Filipe Protasio Pereira, João Batista Gonçalves Dias da Silva, Marta de Toledo Benassi . Profile of the diterpenes, lipid and protein content of different coffee cultivars of three consecutive harvests. AIMS Agriculture and Food, 2016, 1(3): 254-264. doi: 10.3934/agrfood.2016.3.254 |
The Family Income-to-Poverty-Ratio (FIPR) is a recognized indicator of socioeconomic status, and influences a wide range of health and behavioral outcomes. Yet, marginalized and racialized groups, particularly Black individuals, may not reap comparable health benefits from their socioeconomic advancements as their non-Hispanic, White counterparts. This discrepancy is indicative of a phenomenon known as the minorities' diminished returns.
This study investigates the differential impact of the FIPR on depression, obesity, tobacco use, and e-cigarette use between Black and White adults.
Using data from the 2022 National Health Interview Survey (NHIS), which included 21,354 non-Hispanic adults from both White and Black racial groups, this research employed structural equation modeling to assess the relationship between the FIPR and health outcomes, including depression, obesity, and e-cigarette use.
The analysis identified significant interactions between FIPR and race across all the examined outcomes. Contrary to expectations, the findings suggest that the protective effects of higher income levels on health and healthy behaviors are less pronounced for Black individuals compared to White individuals.
The study underscores the substantial societal and environmental barriers that hinder Black families and individuals from converting their FIPR and socioeconomic resources into concrete health benefits, such as an enhanced mental and physical well-being. To redress these racial health disparities, targeted interventions are crucial, particularly those that focus on bridging the employment and marriage rate gaps caused by educational disparities among Black communities. A comprehensive approach that extends beyond simple access to education is imperative to eliminate the societal obstacles that limit the socioeconomic benefits for Black populations.
Abbreviations: LAB: lactic acid bacteria; bac +: bacteriocinogenic; PGI: Protected Geographical Indication; S2BLAF: Lb. plantarum ST153Ch fresh; S2BLA: Lb. plantarum ST153Ch lyophilized; S2BC non-inoculated; S2BLAF + LM: Lb. plantarum ST153Ch fresh plus cocktail of L. monocytogenes; S2BLA + LM: Lb. plantarum ST153Ch lyophilized plus cocktail of L. monocytogenes; S2BC + LM: cocktail of L. monocytogenes
"Alheira" is a traditional fermented smoked meat sausage, typical of the North of Portugal, which production dates back to the late fifteenth century. Nowadays, "Alheira" is a well-known Portuguese product with some varieties with Protected Geographical indication (PGI) status. "Alheiras" vary considerably in their final compositions and production processes. The relevant common elements in the production process are the boiling of various meats in lightly salted and spiced water; soaking the thinly sliced bread in some of the broth, formed during the boiling of the meats, until it is soft enough; adding meat in small pieces, spices and olive oil and/or fat drippings to the bread/broth mixture; there is no addition of starter cultures; stuffing the paste into pork intestinal or cellulose-based casings when everything is completely mixed and the salt and spices adjusted to the desirable taste (variable). Traditionally, "Alheiras" are smoked at low but uncontrolled temperature (generally < 37 ℃) and uncontrolled humidity [1], but industrially smoking is performed at higher temperatures, in ovens, and cooled rapidly in cooling chambers. Several authors observed that LAB constitute the predominant microbiota of "Alheira", with particular incidence of Lactobacillus spp. and Enterococcus spp. [1,2] from the early stages of fermentation process (during the smoking). However, pathogenic organisms, such as L. monocytogenes, Salmonella spp. and St. aureus have already been detected [2,3] which could affect the safe consumption of this food. "Alheira" have a pH ~5.1, 1.1% NaCl, ± 0.95 of water activity, 52.3% of moisture, 13% of lipids, 14% total protein and 13% of carbohydrates. These physicochemical parameters and composition, indicated that, and according to the accepted limits for these parameters, pH, salt content and moisture per se, do not assure the microbiological safety of this product. Furthermore, this is a product that is consumed cooked, but some studies suggested that internal temperatures may often not be sufficient to kill all of the pathogens originally present [4], which could justify the use of bioprotective cultures or other natural antimicrobial components.
One of the main challenges in the production of traditional fermented meat products is to improve competitiveness by identifying innovations, which comply with safety policies and regulations, and guarantee food safety, while at the same time meeting consumer demands and expectations [5]. There is an increasing interest in the use of LAB as natural preservatives, due to the potential production of antimicrobial metabolites such as bacteriocins [6,7,8]. So, LAB cultures and/or their bacteriocins are very important for bioprotective strategies to control spoilage and pathogenic microorganisms such as L. monocytogenes [6,7,8,9]. It is recommended to use strains that are well adapted to specific environment characteristics of the food matrices in which they are going to be used, preferably isolates recovered from these or from similar foods, for optimal performance and bacteriocin production [9,10,11].
Lactobacillus plantarum ST153Ch originally identified as Lb. sakei but subsequently re-identified as Lb. plantarum, is an autochthonous strain isolated from "Salpicão", a traditional Portuguese salami-like product [12]. Vaz-Velho et al. [13] showed the possibility of using this strain as a protective culture to improve the safety of fermented meat sausages with respect to L. monocytogenes. Todorov et al. [12] showed that this strain produces an anti-listerial bacteriocin (ST153Ch) that is heat resistant and stable at low temperatures, stable between pH 2.0 and 10.0 and produced at higher levels during the stationary phase of fermentation in the presence of 2% (w/v) D-Glucose [12].
Food safety challenges are constantly changing and require new approaches and tools. Omics methodologies are rapidly transforming our approaches to the detection, prevention, and removal of foodborne pathogens [14], but also to monitor changes in microbiota composition of these products, the interactions between new bio-control agents and microbiota, which is directly correlated to its taste, aspect, safety and functional characteristics [15,16]. This could be a very interesting approach for industrial application.
The aim of this work was to evaluate the effect of a fresh and a lyophilized bioprotective Lb. plantarum ST153Ch culture, at an industrial scale, on the microbiological characteristics of "Alheira de Vitela", during the 90 days of storage at 4 ℃. Simultaneously the antilisterial activity of Lb. plantarum ST153Ch was also evaluated. Changes in microbiota were also investigated by 16s rRNA gene analysis in "Alheira de Vitela" produced with and without the bacteriocinogenic culture.
Lactobacillus plantarum ST153Ch (formerly Lc. sakei [12] and reclassified following 16 sRNA sequencing) was grown in de Man, Rogosa Sharpe (MRS) broth (Lab M, Bury, UK) at 30 ℃ for 48 h.
Listeria monocytogenes Scott A [17] and L. monocytogenes 3701 (isolated from a fermented meat sausage (ESB-UCP) were grown in Tryptone Soy Broth (TSB; Biokar) supplemented with 0.6% (w/v) of yeast extract (LabM; TSBYE) at 37 ℃ for 18–22 h.
All bacterial strains were sub-cultured twice under appropriate conditions before use in experiments. All strains were stored at −20 ℃ in the presence of 30% (v/v) glycerol.
One liter of MRS broth was inoculated (1% v/v) with Lb. plantarum ST153Ch and after 24 h at 30 ℃, cells were centrifuged at 17200x g, for 10 minutes, at 4 ℃. Cells were resuspended in 100 mL of sterilized deionized water, in order to have 109 CFU/mL. For fresh culture, cells were kept at 4 ℃ until the inoculation procedure (fresh culture was prepared on the same day of inoculation).
For preparation of lyophilized culture, the method used was adapted from Barbosa et al. [18]: cells were initially frozen at −80 ℃ overnight, and then desiccated under vacuum (2 ATM) for 4 days in a freeze-drier (SB4 Armfield, UK) at room temperature; and the condenser was cooled at −48 ℃. Before lyophilization process, Lb. plantarum ST153Ch reached ~1010 CFU/mL and after the concentration was ~109 CFU/mL.
"Alheira" samples were manufactured in a meat plant according to traditional recipes and techniques. The ingredients used were as follows: Veal meat (35%), wheat bread (wheat flour, baking powder and salt), pork meat, rooster, cooking broth, spices, onion, olive oil and salt. The sausage mixture, before stuffing in natural casing, was divided into three similar portions, each one with 45 kg: one was inoculated with Lb. plantarum ST153Ch fresh (S2BLAF), another with Lb. plantarum ST153Ch lyophilized (S2BLA) and the other one was non-inoculated (S2BC), to act as a control. Lactobacillus plantarum ST153Ch, fresh or lyophilized (prepared as indicated in section 2.2) was added before stuffing, in order to reach ~108 CFU/g in the final product. Lyophilized culture was suspended in 3 L of water and sucrose (6%w/v) and then added to the fresh sausage mixture. Fresh culture was directly added to the sausage mixture. Sausages were smoked in ovens, with a slight smoke of holm-wood, in controlled humidity, for some hours. Then, "Alheiras" were packed (in packages composed with materials of polyolefin and polyamide), under modified atmosphere (20% CO2 and 80% N2) and stored for 90 days at 4 ℃. Three independent batches were produced.
Microbiological analyses of all the samples were performed before smoking (−1 day), immediately after smoking (0 day) and during storage at times 3, 7, 15, 21, 28, 60 and 90 days.
Listeria monocytogenes strains were sub-cultured twice (24 h at 37℃) in TSB broth using a 1% v/v inoculum. Each culture was centrifuged and mixed in Ringer's solution. An aliquot (300 µL) of the cocktail of L. monocytogenes suspension (107 CFU/mL for each strain of L. monocytogenes) was inoculated with a sterilized syringe in 300 g of each sample of "Alheira". This procedure was done after smoking, in the microbiology laboratory, in order to reach 105 CFU/g of sample of "Alheira": one batch was inoculated with Lb. plantarum ST153Ch fresh plus cocktail of L. monocytogenes (S2BLAF + LM), another batch with Lb. plantarum ST153Ch lyophilized plus cocktail of L. monocytogenes (S2BLA + LM) and the other one only with cocktail of L. monocytogenes (S2BC + LM), to act as a control.
Twenty-five gram samples were added to 225 mL of sterile buffered peptone water (Biokar Diagnostics, Beauvais, France), and homogenized in a stomacher for 2 min. Appropriate decimal dilutions were prepared in Ringer's solution for microbial enumeration according to ISO Standards: LAB on de Man, Rogosa and Sharpe Agar (MRS, Biokar Diagnostics; [19]) incubated at 30 ℃ for 72 h; Enterobacteriaceae on RAPID' Enterobacteriaceae medium (Bio-Rad, CA, USA; [20]) and St. aureus on Baird Parker Agar (BPA, Bio-Rad; [21]), with rabbit plasma fibrinogen confirmation [22], both incubated at 37 ℃ for 48 h; Escherichia coli on Tryptone Bile X-glucuronide Agar [23] incubated at 44 ℃ for 24 h; Bacillus cereus on Mannitol Egg York Polymyxin Agar Base (VWR International, Pennsylvania, USA; ISO 7932:2004/Amd 1 [24]), and yeasts and molds on Rose-Bengal Chloramphenicol Agar (Oxoid, Hampshire, UK; NP 3277-1:1987 [25]) incubated at 25 ℃ for 5 days. Also the detection of some agents was performed using the ISO methodologies: detection and enumeration of L. monocytogenes [26,27], detection of Salmonella spp. [28], sulfite- reducing Clostridium spores [29] and detection of Yersinia [30]. Every analysis was performed in duplicate.
Ten grams of "Alheira" samples were homogenized individually in a stomacher for 2 min. From this, 1 g was used for DNA extraction. The DNA was extracted according to the instructions of "The GRS Genomic DNA Kit–Tissue–for Stool" (GRISP, Porto, Portugal).
The samples used were: "Alheira" inoculated with Lb. plantarum ST153Ch lyophilized (S2BLA): before smoking (S2BLA (−1 day)), after smoking (S2BLA (0 day)) and after 60 days of storage (S2BLA (60 days)); and the control non-inoculated (S2BC): before smoking (S2BC (−1 day)), after smoking (S2BC (0 day)) and after 2 months storage (S2BC (60 days)).
Samples were prepared for Illumina Sequencing by 16S rRNA gene amplification of the bacterial community. The DNA was amplified for the hypervariable V3-V4 region with specific primers and further reamplified in a limited-cycle PCR reaction to add sequencing adapters and dual indexes. First PCR reactions were performed for each sample using KAPA HiFi HotStart PCR Kit according to the manufacturer's suggestions, 0.3 μM of each PCR primer: forward primer Bakt_341F 5'-CCTACGGGNGGCWGCAG-3' and reverse primer Bakt_805R 5'-GACTACHVGGGTATCTAATCC-3' [31,32] and 12.5 ng of template DNA in a total volume of 25 μL. The PCR conditions involved a 3 min denaturation at 95 ℃, followed by 25 cycles of 98 ℃ for 20 s, 55 ℃ for 30 s and 72 ℃ for 30 s and a final extension at 72 ℃ for 5 min. Second PCR reactions added indexes and sequencing adapters to both ends of the amplified target region according to manufacturer's recommendations [33]. Negative PCR controls were included for all amplification procedures. PCR products were then one-step purified and normalized using SequalPrep 96-well plate kit (ThermoFisher Scientific, Waltham, USA) [34], pooled and pair-end sequenced in the Illumina MiSeq® sequencer with the V3 chemistry, according to the manufacturer's instructions [33] at Genoinseq (Cantanhede, Portugal).
All 16S rRNA data were analyzed with Kraken v1 [35] using the pre-built MiniKraken 8Gb database (https://ccb.jhu.edu/software/kraken/) with default parameters. At each taxonomic rank, classification falling below a threshold of 0.1% of all data were excluded from the subsequent analysis (i.e. classification represented by less than ~100 reads).
The comparison of the growth of L. monocytogenes without and with the bacteriocinogenic culture (fresh or lyophilized) through the storage time was carried out by one-way Analysis of Variance (ANOVA). The LSD-Tukey test was used to determine the significant differences (p < 0.05) among group means. Statistical analysis was done using SPSS 24.0.0.0 software for Windows.
Since food safety has become an increasingly important international concern, the application of antimicrobial peptides from LAB, that target foodborne pathogens without toxic or other adverse effects, has received great attention. LAB that produce bacteriocins with antilisterial activity have been used in fermented meat sausages as bioprotective cultures since the beginning of the 90's [6,7,36,37,38,39,40,41]. Our work follows this trendline, and expects to validate the effect of this bioprotective culture at industrial scale and over long storage times.
The behaviour of L. monocytogenes and LAB in "Alheira" samples (control and inoculated with bacteriocinogenic culture) is presented in Figure 1 and Table 1, respectively. No differences were observed when L. monocytogenes strains were tested alone or combined in a cocktail (data not shown), showing that they don't interfere between them. In the first three days of storage, it was observed a slight increase in L. monocytogenes counts. In parallel, a more pronounced growth was registered for LAB achieving ca. 9–10 log CFU/g. Also, and as observed in Table 1, the decrease in pH occurs at the same time as the number of lactic acid bacteria increases. After this period and until day 15, counts of the pathogen remained at the same level in control samples and decreased ca. 0.5 and 1.0 log CFU/g in samples inoculated with lyophilized and fresh bacteriocinogenic cultures, respectively, while counts of LAB increased ca. 1 log cycle in all the samples. From day 15 until the end of storage, counts of LAB remained stable (varied less than < 1 log cycle) while counts of L. monocytogenes decreased in all the samples. Although there were no significant differences (p > 0.05) in the reduction of the pathogen between samples with and without bacteriocinogenic culture, there was a clear trend for a higher reduction of L. monocytogenes in the presence of the protective culture. It is important to highlight that results represent the mean of three independent batches produced at industrial level and consequently several factors, e.g. the composition of the indigenous microbiota of the raw materials and final products, were neither constant nor controlled. Most of the results published in previous articles were performed at laboratory or pilot scale [7,36,37,38,39,40,41]. The work published by Vaz Velho et al. [13] was developed at smaller industrial scale, with only fresh culture and only at 7 days of storage. Also, these authors showed a reduction of L. monocytogenes less than 1 log. This current work was performed at industrial scale, with all the variability resulting therefrom. Moreover, this work used two different forms of the starter culture: lyophilized and fresh and analyses were performed during 90 days of storage. This well demonstrates the importance of validating studies at the industrial level and the importance of following the entire processes, until the end of storage time. For the industry it is crucial to follow product alterations until the end of storage, especially if we keep in mind that consumers are increasingly looking for safe products with long shelf-life.
"Alheira" with Lb. plantarum | "Alheira" with Lb. plantarum plus cocktail of L. monocytogenes | |||||||||||
Samples | S2BC (non-inoculated) | S2BLAF (fresh) | S2BLA (lyophilized) | S2BC + LM (only inoculated with L. monocytogenes) | S2BLAF + LM (Fresh) | S2BLA + LM (lyophilized) | ||||||
Time (days) | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH |
−1* | 4.0 ± 0.12 | 5.45 ± 0.04 | 8.3 ± 0.55 | 5.65 ± 0.03 | 7.8 ± 1.5 | 5.56 ± 0.06 | nd | nd | nd | |||
0 | 7.6 ± 1.10 | 4.72 ± 0.06 | 9.1 ± 1.46 | 4.75 ± 0.05 | 7.8 ± 1.9 | 4.65 ± 0.06 | 7.3 ± 0.95 | 4.70 ± 0.02 | 8.0 ± 1.66 | 4.73 ± 0.03 | 8.53 ± 1.48 | 4.80 ± 0.04 |
3 | 9.0 ± 0.06 | 4.62 ± 0.03 | 9.3 ± 0.59 | 4.59 ± 0.03 | 9.8 ± 0.6 | 4.60 ± 0.02 | 9.3 ± 0.81 | 4.62 ± 0.01 | 9.8 ± 0.40 | 4.65 ± 0, 03 | 9.87 ± 0.06 | 4, 65 ± 0, 04 |
7 | 9.7 ± 0.55 | 4.54 ± 0.09 | 9.5 ± 0.96 | 4.53 ± 0.04 | 9.2 ± 0.7 | 4.5 ± 0.07 | 10.3 ± 0.40 | 4.55 ± 0.05 | 9.4 ± 1.30 | 4.64 ± 0.05 | 10.07 ± 0.71 | 4.60 ± 0.03 |
15 | 10.0 ± 0.41 | 4.39 ± 0.05 | 10.2 ± 0.46 | 4.42 ± 0.07 | 10.5 ± 0.5 | 4.40 ± 0.03 | 10.4 ± 0.31 | 4.44 ± 0.08 | 10.7 ± 0.42 | 4.57 ± 0.02 | 10.53 ± 0.55 | 4.50 ± 0.07 |
21 | 11.0 ± 0.00 | 4.25 ± 0.06 | 10.6 ± 0.29 | 4.30 ± 0.08 | 11.1 ± 0.0 | 4.31 ± 0.10 | 10.8 ± 0.12 | 4.43 ± 0.06 | 10.4 ± 0.46 | 4.45 ± 0.06 | 11.07 ± 0.06 | 4.50 ± 0.04 |
28 | 10.7 ± 0.67 | 4.11 ± 0.08 | 10.7 ± 0.69 | 4.14 ± 0.04 | 10.9 ± 0.2 | 4.14 ± 0.06 | 10.6 ± 0.87 | 4.13 ± 0.02 | 11.0 ± 0.20 | 4.25 ± 0.04 | 11.03 ± 0.06 | 4.20 ± 0.06 |
60 | 10.9 ± 0.06 | 3.60 ± 0.04 | 10.8 ± 0.85 | 3.67 ± 0.02 | 10.6 ± 0.6 | 3.70 ± 0.08 | 10.7 ± 0.29 | 3.70 ± 0.02 | 10.7 ± 0.44 | 3.90 ± 0.07 | 10.97 ± 0.12 | 4.00 ± 0.07 |
90 | 10.5 ± 0.15 | 3.58 ± 0.09 | 10.4 ± 0.44 | 3.52 ± 0.06 | 10.4 ± 0.4 | 3.54 ± 0.04 | 10.4 ± 0.17 | 3.57 ± 0.04 | 10.4 ± 0.40 | 3.65 ± 0.05 | 10.60 ± 0.44 | 3.70 ± 0.05 |
* before smoking. |
The pathogenic organisms investigated, (Salmonella, S. aureus, Yersinia, sulphite reducing Clostridium spores and E. coli) were not detected in any sample. Also, counts of Enterobacteriaceae and B. cereus were below the detection limit of the enumeration technique for 0, 3, 7, 15, 21, 28, 60 and 90 days of storage (Table 2).
Enumeration (log CFU/g) | Presence in 25g | |||||||||
"Alheira" | Bacillus cereus | Yeasts | Moulds | Enterobacteriaceae | E.coli | Coagulase positive staphylococci | Listeria spp. | Listeria monocytogenes | Salmonella spp. | SRC sporesa |
S2BC | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
Legend: aSRC spores; sulphite reducing clostridial spores, presence (+) or absence (−) in 1, 0.1 or 0.01 g sample. |
Overall, for 16S rRNA metagenomic analysis almost all reads generated (~99%) were classified into a taxonomic rank for all the "Alheira de Vitela" samples, for the different stages of fermentation and with and without the lyophilized bacteriocinogenic culture, with more than 95% of them being classified at the family and genus level (Table 3). Regarding family analysis, Leuconostocaceae and Lactobacillaceae predominated in all the samples (Figure 2A). Lactobacillaceae was the predominant family in samples with addition of bacteriocinogenic culture and Leuconostocaceae was prevalent in control samples. At the genus level, the microbiome distribution was similar to the family classification, with the main genus being Lactobacillus, Weissella and Leuconostoc (Figure 2B). At both taxonomic levels, higher microbial diversity could be observed before and after smoking, as compared to 60 days after storage where samples presented two main families or genus. Of note, "Alheiras" sampled after 60 days of storage (60 days) with the addition of bacteriocinogenic culture were mostly populated by Lactobacillus, whereas without this addition, "Alheiras" were equally populated by Leuconostoc and a higher portion of Weisella.
Sample | Total # of paired reads generated | Percentage of classified reads (%) | |||
Total | Up to family | Up to genus | Up to species | ||
S2BLA (−1 day) | 88285 | 99.93 | 94.94 (0.15) | 94.71 (0.35) | 30.03 (1.08) |
S2BLA (0 day) | 77182 | 98.71 | 98.59 (0.67) | 98.02 (0.86) | 50.32 (1.71) |
S2BLA (60 days) | 83671 | 99.77 | 97.53 (1.07) | 96.87 (1.19) | 81.41 (1.74) |
S2BC (−1 day) | 91240 | 99.91 | 98.17 (0.23) | 98.07 (0.21) | 55.04 (0.8) |
S2BC (0 day) | 62382 | 99.08 | 98.72 (0.69) | 98.52 (0.72) | 84.29 (1.18) |
S2BC (60 days) | 76074 | 99.64 | 97.39 (0.14) | 96.98 (0.34) | 68.14 (0.73) |
Percentages are relative to the total number of classified reads. Values in parenthesis refer to the percentage of reads excluded at each taxonomic rank. "Alheira de Vitela" non-inoculated as a control (S2BC) and inoculated with Lb. plantarum ST153Ch lyophilized (S2BLA): before smoking (−1 day), after smoking (0 day) and 60 days of storage (60 days). |
At the species level, it was possible to observe lower microbial diversity in the samples before smoking (labeled as −1 day), with the sample without culture presenting higher diversity than the sample with culture (Figure 2C). After smoking, the microbial diversity of the inoculated sample increased, especially when compared to the control, with a more pronounced trend after 60 days of storage, when microbial diversity was greater. Through time, in both tested conditions, a decrease in Leuconostoc and Weisella species could be observed, although this was more accentuated in samples with bacteriocinogenic culture, as only traces of Weisella species were observed and Leuconostoc species were only present below 7%. After 60 days of storage, the most predominant specie identified was Lb. sakei that, as mentioned above, was the previous classification of inoculated Lb. plantarum strain, which is likely due to the characteristics of the database used. Also, it is interesting to observe the change in microbiome of samples before and after fermentation, showing the role of LAB in this process. Although there are differences in the microbiota, these are slight, which makes it impossible to draw final conclusions. So, we believed that further studies are still needed to explain the observed differences.
Studying the changes in microbial populations can provide useful information to follow natural fermentation dynamics, particularly when using bioprotective cultures. Many different researches have been carried out unravelling the structure of the microbial consortia in dairy [42,43], meat [44] and vegetable foods [45].
Lactobacillus plantarum ST153Ch showed a slight antilisterial activity in situ, with a reduction of ~0.5–1 log until 15 days of storage of "Alheira de Vitela". However, until the end of storage, counts of L. monocytogenes decreased in all the samples, while counts of LAB remained stable. Additionally, no significant differences were found between application methodologies (fresh or lyophilized LABs), therefore industry might be able to choose the most appropriate technique according to their manufacturing process. From the analysis of the microbial communities it was confirmed the absence of the pathogens investigated by culture dependent methods and it was demonstrated that the addition of the bioprotective culture altered the microbiota of "Alheira". At different stages of fermentation with and without the bac + culture, Leuconostocaceae and Lactobacillaceae predominated in all samples and, as expected, Lactobacillus was the genus more prevalent in "Alheiras" sampled after 60 days of storage with the addition of the bacteriocinogenic culture.
Nevertheless, the few differences observed, there was a reduction in the L. monocytogenes counts in the early storage days, which could justify the use of these cultures. For the industry it is very important to control the development of a pathogen at the beginning of storage time when products are already available to consumers.
All authors declare no conflicts of interest in this paper.
This work was supported by funding from the National Funds from the Fundação para a Ciência e a Tecnologia (FCT) through project UID/Multi/50016/2013, by the project "Biological tools for adding and defending value in key agro-food chains (bio-n2-value)", nº NORTE-01-0145-FEDER-000030, funded by Fundo Europeu de Desenvolvimento Regional (FEDER), under Programa Operacional Regional do Norte-Norte2020" and a post-doctoral fellowship SFRH/BPD/113303/2015 (author J. Barbosa), and by DEM@BIOFUMADOS-Demonstrador do Biofumados Tradição vs Qualidade-Produção de Enchidos e Fumados Tradicionais Portugueses (NORTE-01-0247- FEDER-017634), co-funded by Fundo Europeu de Desenvolvimento Regional (FEDER), under Programa Operacional Regional do Norte (PO Norte).
We would like to thank Dr. João Paulo Gomes and Dr. Vitor Borges from the Bioinformatics Unit at Department of Infectious Diseases of the Portuguese National Institute of Health for their support in the bioinformatics analysis of this study.
[1] | Semega J, Kollar M, Creamer J, et al. (2017) Income and poverty in the United States: 2016. Current population reports . |
[2] | Costa M (2002) A multidimensional approach to the measurement of poverty. Luxemburgo: Iriss (IRISS Working papers series, 2002–05). |
[3] |
Dearing E, McCartney K, Taylor BA (2001) Change in family income-to-needs matters more for children with less. Child Dev 72: 1779-1793. https://doi.org/10.1111/1467-8624.00378 ![]() |
[4] |
Gennetian LA, Castells N, Morris PA (2010) Meeting the basic needs of children: Does income matter?. Child Youth Serv Rev 32: 1138-1148. https://doi.org/10.1016/j.childyouth.2010.03.004 ![]() |
[5] |
Ecob R, Smith GD (1999) Income and health: what is the nature of the relationship?. Soc Sci Med 48: 693-705. https://doi.org/10.1016/S0277-9536(98)00385-2 ![]() |
[6] |
Sculpher MJ, O'Brien BJ (2000) Income effects of reduced health and health effects of reduced income: implications for health-state valuation. Med Decis Making 20: 207-215. https://doi.org/10.1177/0272989X0002000206 ![]() |
[7] |
Robinson MA, Cheng TC (2014) Exploring physical health of African Americans: A social determinant model. J Hum Behav Soc Envi 24: 899-909. https://doi.org/10.1080/10911359.2014.914993 ![]() |
[8] | Ciapponi A, Organization WH Systematic review of the link between tobacco and poverty (2014). |
[9] |
Geyer S (2011) Income, income, or income? The effects of different income measures on health in a national survey. J Epidemiol Community Health 65: 491-496. https://doi.org/10.1136/jech.2009.103390 ![]() |
[10] |
Barsha RAA, Assari S, Hossain MB, et al. (2023) Black Americans' Diminished Return of Educational Attainment on Tobacco Use in Baltimore City. J Racial Ethn Health Disparities 10: 3178-3187. https://doi.org/10.1007/s40615-023-01805-0 ![]() |
[11] |
Assari S, Cobb S, Saqib M, et al. (2020) Diminished returns of educational attainment on heart disease among Black Americans. Open Cardiovasc Med J 14: 5-12. https://doi.org/10.2174/1874192402014010005 ![]() |
[12] |
Assari S, Lapeyrouse LM, Neighbors HW (2018) Income and Self-Rated Mental Health: Diminished Returns for High Income Black Americans. Behav Sci 8: 50. https://doi.org/10.3390/bs8050050 ![]() |
[13] |
Assari S (2018) Diminished Economic Return of Socioeconomic Status for Black Families. Soc Sci 7: 74. https://doi.org/10.3390/socsci7050074 ![]() |
[14] |
Braveman P (2023) The social determinants of health and health disparities. New York, NY: Oxford University Press. https://doi.org/10.1093/oso/9780190624118.001.0001 ![]() |
[15] |
Braveman PA, Cubbin C, Egerter S, et al. (2010) Socioeconomic disparities in health in the United States: what the patterns tell us. Am J Public Health 100: S186-S196. https://doi.org/10.2105/AJPH.2009.166082 ![]() |
[16] |
Braveman PA, Cubbin C, Egerter S, et al. (2005) Socioeconomic status in health research: one size does not fit all. Jama 294: 2879-2888. https://doi.org/10.1001/jama.294.22.2879 ![]() |
[17] |
Ross CE, Mirowsky J (2011) The interaction of personal and parental education on health. Soc Sci Med 72: 591-599. https://doi.org/10.1016/j.socscimed.2010.11.028 ![]() |
[18] |
Ross CE, Mirowsky J (1999) Refining the association between education and health: the effects of quantity, credential, and selectivity. Demography 36: 445-460. https://doi.org/10.2307/2648083 ![]() |
[19] |
Williams DT (2023) Racism and the mechanisms maintaining racial stratification in Black families. J Fam Theor Rev 15: 206-218. https://doi.org/10.1111/jftr.12511 ![]() |
[20] |
Williams DR, Lawrence JA, Davis BA (2019) Racism and health: evidence and needed research. Annu Rev Public Health 40: 105-125. https://doi.org/10.1146/annurev-publhealth-040218-043750 ![]() |
[21] |
Gee GC, Hing A, Mohammed S, et al. (2019) Racism and the Life Course: Taking Time Seriously. Am J Public Health 109: S43-S47. https://doi.org/10.2105/AJPH.2018.304766 ![]() |
[22] |
Williams DR (1999) Race, socioeconomic status, and health the added effects of racism and discrimination. Ann N Y Acad Sci 896: 173-188. https://doi.org/10.1111/j.1749-6632.1999.tb08114.x ![]() |
[23] |
Phelan JC, Link BG (2015) Is racism a fundamental cause of inequalities in health?. Annu Rev Sociol 41: 311-330. https://doi.org/10.1146/annurev-soc-073014-112305 ![]() |
[24] | Assari G, Zare H, Assari S (2024) Walking the Divide: A Public Health Journey from Manhattan to Harlem. J Soc Math Hum Eng Sci 3: 7-15. https://doi.org/10.31586/jsmhes.2024.1018 |
[25] |
Chae DH, Clouston S, Hatzenbuehler ML, et al. (2015) Association between an internet-based measure of area racism and black mortality. PLoS One 10: e0122963. https://doi.org/10.1371/journal.pone.0122963 ![]() |
[26] |
Krieger N (2021) Structural racism, health inequities, and the two-edged sword of data: structural problems require structural solutions. Front Public Health 9: 655447. https://doi.org/10.3389/fpubh.2021.655447 ![]() |
[27] |
Bailey ZD, Krieger N, Agenor M, et al. (2017) Structural racism and health inequities in the USA: evidence and interventions. Lancet 389: 1453-1463. https://doi.org/10.1016/S0140-6736(17)30569-X ![]() |
[28] |
Krieger N (2003) Does racism harm health? Did child abuse exist before 1962? On explicit questions, critical science, and current controversies: an ecosocial perspective. Am J Public Health 93: 194-199. https://doi.org/10.2105/AJPH.93.2.194 ![]() |
[29] |
Krieger N (2000) Epidemiology, racism, and health: the case of low birth weight. Epidemiology 11: 237-239. https://doi.org/10.1097/00001648-200005000-00001 ![]() |
[30] |
Gee GC, Hicken MT (2021) Structural racism: the rules and relations of inequity. Ethn Dis 31: 293. https://doi.org/10.18865/ed.31.S1.293 ![]() |
[31] |
Paradies Y, Priest N, Ben J, et al. (2013) Racism as a determinant of health: a protocol for conducting a systematic review and meta-analysis. Syst Rev 2: 85. https://doi.org/10.1186/2046-4053-2-85 ![]() |
[32] |
Gee GC, Walsemann KM, Brondolo E (2012) A life course perspective on how racism may be related to health inequities. Am J Public Health 102: 967-974. https://doi.org/10.2105/AJPH.2012.300666 ![]() |
[33] |
Gee GC, Ford CL (2011) Structural racism and health inequities: Old issues, New Directions1. Du Bois Rev 8: 115-132. https://doi.org/10.1017/S1742058X11000130 ![]() |
[34] |
Assari S, Caldwell CH (2021) Racism, diminished returns of socioeconomic resources, and Black middle-income children's health paradox. JAMA Pediatr 175: 1287-1288. https://doi.org/10.1001/jamapediatrics.2021.3277 ![]() |
[35] |
Assari S, Zare H (2024) The Cost of Opportunity: Anti-Black Discrimination in High Resource Settings. J Biomed Life Sci 4: 92-110. https://doi.org/10.31586/jbls.2024.1128 ![]() |
[36] |
Braveman PA, Heck K, Egerter S, et al. (2015) The role of socioeconomic factors in black–white disparities in preterm birth. Am J Public Health 105: 694-702. https://doi.org/10.2105/AJPH.2014.302008 ![]() |
[37] | Kaufman JS, Cooper RS, McGee DL (1997) Socioeconomic status and health in blacks and whites: the problem of residual confounding and the resiliency of race. Epidemiology 8: 621-628. https://doi.org/10.1097/00001648-199710000-00002 |
[38] |
Kaufman JS (2008) Epidemiologic analysis of racial/ethnic disparities: some fundamental issues and a cautionary example. Soc Sci Med 66: 1659-1669. https://doi.org/10.1016/j.socscimed.2007.11.046 ![]() |
[39] |
Assari S, Najand B, Sheikhattari P (2024) Household income and subsequent youth tobacco initiation: Minorities' Diminished Returns. J Med Surg Public Health 2: 100063. https://doi.org/10.1016/j.glmedi.2024.100063 ![]() |
[40] |
Assari S (2024) Diminished returns of educational attainment on life satisfaction among Black and Latino older adults transitioning into retirement. J Med Surg Public Health 2: 100091. https://doi.org/10.1016/j.glmedi.2024.100091 ![]() |
[41] |
Assari S, Zare H (2024) Black-White Gap Across Levels of Educational Childhood Opportunities: Findings from the ABCD Study. Open J Educ Res 4: 365. https://doi.org/10.31586/ojer.2024.1124 ![]() |
[42] | Danziger S, Sandefur GD, Weinberg DH (1994) Confronting poverty: Prescriptions for change.Harvard University Press. |
[43] |
Danziger S, Corcoran M, Danziger S, H (2000) Work, income, and material hardship after welfare reform. J Consum Aff 34: 6-30. https://doi.org/10.1111/j.1745-6606.2000.tb00081.x ![]() |
[44] | Danziger S, Gottschalk P (2004) Diverging fortunes: Trends in poverty and inequality.Russell Sage Foundation New York. |
[45] | Danziger SK, Danziger S (1993) Child poverty and public policy: Toward a comprehensive antipoverty agenda. Daedalus 122: 57-84. |
[46] | Danziger S (2007) Fighting poverty revisited: What did researchers know 40 years ago? What do we know today. Focus 25: 3-11. |
[47] | Aten B (1996) Some Poverty Lines are More Equal Than Others. Champagn-Urbana: University of Illinois. |
[48] | Fisher GM (1992) The development and history of the poverty thresholds. Soc Sec Bull 55: 3. |
[49] |
Assari S (2018) Life Expectancy Gain Due to Employment Status Depends on Race, Gender, Education, and Their Intersections. J Racial Ethn Health Disparities 5: 375-386. https://doi.org/10.1007/s40615-017-0381-x ![]() |
[50] |
Choi K, Jones JT, Ruybal AL, et al. (2023) Trends in Education-Related Smoking Disparities Among US Black or African American and White Adults: Intersections of Race, Sex, and Region. Nicotine Tob Res 25: 718-728. https://doi.org/10.1093/ntr/ntac238 ![]() |
[51] |
Navarro V (1989) Race or class, or race and class. Int J Health Serv 19: 311-314. https://doi.org/10.2190/CNUH-67T0-RLBT-FMCA ![]() |
[52] |
Navarro V (1990) Race or class versus race and class: mortality differentials in the United States. Lancet 336: 1238-1240. https://doi.org/10.1016/0140-6736(90)92846-A ![]() |
[53] |
Navarro V (1991) Race or class or race and class: growing mortality differentials in the United States. Int J Health Serv 21: 229-235. https://doi.org/10.2190/5WXM-QK9K-PTMQ-T1FG ![]() |
[54] |
Laaksonen M, Rahkonen O, Martikainen P (2005) Socioeconomic position and self-rated health: the contribution of childhood socioeconomic circumstances, adult socioeconomic status, and material resources. Am J Public Health 95: 1403-1409. https://doi.org/10.2105/AJPH.2004.047969 ![]() |
[55] |
Drakopoulos S, Lakioti E, Theodossiou I (2011) Childhood socioeconomic deprivation and later adulthood health. Int J Soc Econ 38: 23-38. https://doi.org/10.1108/03068291111091945 ![]() |
[56] |
Galobardes B, Lynch JW, Davey Smith G (2004) Childhood socioeconomic circumstances and cause-specific mortality in adulthood: systematic review and interpretation. Epidemiol Rev 26: 7-21. https://doi.org/10.1093/epirev/mxh008 ![]() |
[57] |
Assari S, Caldwell CH (2018) High risk of depression in high-income african american boys. J Racial Ethn Health Disparities 5: 808-819. https://doi.org/10.1007/s40615-017-0426-1 ![]() |
[58] |
Babey SH, Hastert TA, Wolstein J, et al. (2010) Income disparities in obesity trends among California adolescents. Am J Public Health 100: 2149-2155. https://doi.org/10.2105/AJPH.2010.192641 ![]() |
[59] |
Bell CN, Thorpe RJ (2020) Association between Income and Obesity in Black Men: The Role of Work-Life Interference. Ethn Dis 30: 629-636. https://doi.org/10.18865/ed.30.4.629 ![]() |
[60] |
Bjornstrom EE (2011) An examination of the relationship between neighborhood income inequality, social resources, and obesity in Los Angeles county. Am J Health Promot 26: 109-115. https://doi.org/10.4278/ajhp.100326-QUAN-93 ![]() |
[61] |
El-Sayed AM, Scarborough P, Galea S (2012) Socioeconomic inequalities in childhood obesity in the United Kingdom: a systematic review of the literature. Obes Facts 5: 671-692. https://doi.org/10.1159/000343611 ![]() |
[62] |
Fan JX, Wen M, Li K (2020) Associations between obesity and neighborhood socioeconomic status: Variations by gender and family income status. SSM Popul Health 10: 100529. https://doi.org/10.1016/j.ssmph.2019.100529 ![]() |
[63] |
Assari S, Boyce S, Bazargan M, et al. (2019) Unequal Protective Effects of Parental Educational Attainment on the Body Mass Index of Black and White Youth. Int J Environ Res Public Health 16: 3641. https://doi.org/10.3390/ijerph16193641 ![]() |
[64] |
Haustein KO (2006) Smoking and poverty. Eur J Cardiovasc Prev Rehabil 13: 312-318. https://doi.org/10.1097/01.hjr.0000199495.23838.58 ![]() |
[65] |
Hayes C, Kearney M, O'Carroll H, et al. (2016) Patterns of Smoking Behaviour in Low-Income Pregnant Women: A Cohort Study of Differential Effects on Infant Birth Weight. Int J Environ Res Public Health 13: 1060. https://doi.org/10.3390/ijerph13111060 ![]() |
[66] |
Leventhal AM, Bello MS, Galstyan E, et al. (2019) Association of cumulative socioeconomic and health-related disadvantage with disparities in smoking prevalence in the United States, 2008 to 2017. JAMA Intern Med 179: 777-785. https://doi.org/10.1001/jamainternmed.2019.0192 ![]() |
[67] | Loretan CG, Wang TW, Watson CV, et al. (2022) Disparities in Current Cigarette Smoking Among US Adults With Mental Health Conditions. Prev Chronic Dis 19: E87. https://doi.org/10.5888/pcd19.220184 |
[68] |
Assari S, Boyce S, Caldwell CH, et al. (2020) Parent Education and Future Transition to Cigarette Smoking: Latinos' Diminished Returns. Front Pediatr 8: 457. https://doi.org/10.3389/fped.2020.00457 ![]() |
[69] |
Assari S (2018) Health disparities due to diminished return among black Americans: Public policy solutions. Soc Iss Policy Rev 12: 112-145. https://doi.org/10.1111/sipr.12042 ![]() |
"Alheira" with Lb. plantarum | "Alheira" with Lb. plantarum plus cocktail of L. monocytogenes | |||||||||||
Samples | S2BC (non-inoculated) | S2BLAF (fresh) | S2BLA (lyophilized) | S2BC + LM (only inoculated with L. monocytogenes) | S2BLAF + LM (Fresh) | S2BLA + LM (lyophilized) | ||||||
Time (days) | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH |
−1* | 4.0 ± 0.12 | 5.45 ± 0.04 | 8.3 ± 0.55 | 5.65 ± 0.03 | 7.8 ± 1.5 | 5.56 ± 0.06 | nd | nd | nd | |||
0 | 7.6 ± 1.10 | 4.72 ± 0.06 | 9.1 ± 1.46 | 4.75 ± 0.05 | 7.8 ± 1.9 | 4.65 ± 0.06 | 7.3 ± 0.95 | 4.70 ± 0.02 | 8.0 ± 1.66 | 4.73 ± 0.03 | 8.53 ± 1.48 | 4.80 ± 0.04 |
3 | 9.0 ± 0.06 | 4.62 ± 0.03 | 9.3 ± 0.59 | 4.59 ± 0.03 | 9.8 ± 0.6 | 4.60 ± 0.02 | 9.3 ± 0.81 | 4.62 ± 0.01 | 9.8 ± 0.40 | 4.65 ± 0, 03 | 9.87 ± 0.06 | 4, 65 ± 0, 04 |
7 | 9.7 ± 0.55 | 4.54 ± 0.09 | 9.5 ± 0.96 | 4.53 ± 0.04 | 9.2 ± 0.7 | 4.5 ± 0.07 | 10.3 ± 0.40 | 4.55 ± 0.05 | 9.4 ± 1.30 | 4.64 ± 0.05 | 10.07 ± 0.71 | 4.60 ± 0.03 |
15 | 10.0 ± 0.41 | 4.39 ± 0.05 | 10.2 ± 0.46 | 4.42 ± 0.07 | 10.5 ± 0.5 | 4.40 ± 0.03 | 10.4 ± 0.31 | 4.44 ± 0.08 | 10.7 ± 0.42 | 4.57 ± 0.02 | 10.53 ± 0.55 | 4.50 ± 0.07 |
21 | 11.0 ± 0.00 | 4.25 ± 0.06 | 10.6 ± 0.29 | 4.30 ± 0.08 | 11.1 ± 0.0 | 4.31 ± 0.10 | 10.8 ± 0.12 | 4.43 ± 0.06 | 10.4 ± 0.46 | 4.45 ± 0.06 | 11.07 ± 0.06 | 4.50 ± 0.04 |
28 | 10.7 ± 0.67 | 4.11 ± 0.08 | 10.7 ± 0.69 | 4.14 ± 0.04 | 10.9 ± 0.2 | 4.14 ± 0.06 | 10.6 ± 0.87 | 4.13 ± 0.02 | 11.0 ± 0.20 | 4.25 ± 0.04 | 11.03 ± 0.06 | 4.20 ± 0.06 |
60 | 10.9 ± 0.06 | 3.60 ± 0.04 | 10.8 ± 0.85 | 3.67 ± 0.02 | 10.6 ± 0.6 | 3.70 ± 0.08 | 10.7 ± 0.29 | 3.70 ± 0.02 | 10.7 ± 0.44 | 3.90 ± 0.07 | 10.97 ± 0.12 | 4.00 ± 0.07 |
90 | 10.5 ± 0.15 | 3.58 ± 0.09 | 10.4 ± 0.44 | 3.52 ± 0.06 | 10.4 ± 0.4 | 3.54 ± 0.04 | 10.4 ± 0.17 | 3.57 ± 0.04 | 10.4 ± 0.40 | 3.65 ± 0.05 | 10.60 ± 0.44 | 3.70 ± 0.05 |
* before smoking. |
Enumeration (log CFU/g) | Presence in 25g | |||||||||
"Alheira" | Bacillus cereus | Yeasts | Moulds | Enterobacteriaceae | E.coli | Coagulase positive staphylococci | Listeria spp. | Listeria monocytogenes | Salmonella spp. | SRC sporesa |
S2BC | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
Legend: aSRC spores; sulphite reducing clostridial spores, presence (+) or absence (−) in 1, 0.1 or 0.01 g sample. |
Sample | Total # of paired reads generated | Percentage of classified reads (%) | |||
Total | Up to family | Up to genus | Up to species | ||
S2BLA (−1 day) | 88285 | 99.93 | 94.94 (0.15) | 94.71 (0.35) | 30.03 (1.08) |
S2BLA (0 day) | 77182 | 98.71 | 98.59 (0.67) | 98.02 (0.86) | 50.32 (1.71) |
S2BLA (60 days) | 83671 | 99.77 | 97.53 (1.07) | 96.87 (1.19) | 81.41 (1.74) |
S2BC (−1 day) | 91240 | 99.91 | 98.17 (0.23) | 98.07 (0.21) | 55.04 (0.8) |
S2BC (0 day) | 62382 | 99.08 | 98.72 (0.69) | 98.52 (0.72) | 84.29 (1.18) |
S2BC (60 days) | 76074 | 99.64 | 97.39 (0.14) | 96.98 (0.34) | 68.14 (0.73) |
Percentages are relative to the total number of classified reads. Values in parenthesis refer to the percentage of reads excluded at each taxonomic rank. "Alheira de Vitela" non-inoculated as a control (S2BC) and inoculated with Lb. plantarum ST153Ch lyophilized (S2BLA): before smoking (−1 day), after smoking (0 day) and 60 days of storage (60 days). |
"Alheira" with Lb. plantarum | "Alheira" with Lb. plantarum plus cocktail of L. monocytogenes | |||||||||||
Samples | S2BC (non-inoculated) | S2BLAF (fresh) | S2BLA (lyophilized) | S2BC + LM (only inoculated with L. monocytogenes) | S2BLAF + LM (Fresh) | S2BLA + LM (lyophilized) | ||||||
Time (days) | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH | Log (CFU/g) | pH |
−1* | 4.0 ± 0.12 | 5.45 ± 0.04 | 8.3 ± 0.55 | 5.65 ± 0.03 | 7.8 ± 1.5 | 5.56 ± 0.06 | nd | nd | nd | |||
0 | 7.6 ± 1.10 | 4.72 ± 0.06 | 9.1 ± 1.46 | 4.75 ± 0.05 | 7.8 ± 1.9 | 4.65 ± 0.06 | 7.3 ± 0.95 | 4.70 ± 0.02 | 8.0 ± 1.66 | 4.73 ± 0.03 | 8.53 ± 1.48 | 4.80 ± 0.04 |
3 | 9.0 ± 0.06 | 4.62 ± 0.03 | 9.3 ± 0.59 | 4.59 ± 0.03 | 9.8 ± 0.6 | 4.60 ± 0.02 | 9.3 ± 0.81 | 4.62 ± 0.01 | 9.8 ± 0.40 | 4.65 ± 0, 03 | 9.87 ± 0.06 | 4, 65 ± 0, 04 |
7 | 9.7 ± 0.55 | 4.54 ± 0.09 | 9.5 ± 0.96 | 4.53 ± 0.04 | 9.2 ± 0.7 | 4.5 ± 0.07 | 10.3 ± 0.40 | 4.55 ± 0.05 | 9.4 ± 1.30 | 4.64 ± 0.05 | 10.07 ± 0.71 | 4.60 ± 0.03 |
15 | 10.0 ± 0.41 | 4.39 ± 0.05 | 10.2 ± 0.46 | 4.42 ± 0.07 | 10.5 ± 0.5 | 4.40 ± 0.03 | 10.4 ± 0.31 | 4.44 ± 0.08 | 10.7 ± 0.42 | 4.57 ± 0.02 | 10.53 ± 0.55 | 4.50 ± 0.07 |
21 | 11.0 ± 0.00 | 4.25 ± 0.06 | 10.6 ± 0.29 | 4.30 ± 0.08 | 11.1 ± 0.0 | 4.31 ± 0.10 | 10.8 ± 0.12 | 4.43 ± 0.06 | 10.4 ± 0.46 | 4.45 ± 0.06 | 11.07 ± 0.06 | 4.50 ± 0.04 |
28 | 10.7 ± 0.67 | 4.11 ± 0.08 | 10.7 ± 0.69 | 4.14 ± 0.04 | 10.9 ± 0.2 | 4.14 ± 0.06 | 10.6 ± 0.87 | 4.13 ± 0.02 | 11.0 ± 0.20 | 4.25 ± 0.04 | 11.03 ± 0.06 | 4.20 ± 0.06 |
60 | 10.9 ± 0.06 | 3.60 ± 0.04 | 10.8 ± 0.85 | 3.67 ± 0.02 | 10.6 ± 0.6 | 3.70 ± 0.08 | 10.7 ± 0.29 | 3.70 ± 0.02 | 10.7 ± 0.44 | 3.90 ± 0.07 | 10.97 ± 0.12 | 4.00 ± 0.07 |
90 | 10.5 ± 0.15 | 3.58 ± 0.09 | 10.4 ± 0.44 | 3.52 ± 0.06 | 10.4 ± 0.4 | 3.54 ± 0.04 | 10.4 ± 0.17 | 3.57 ± 0.04 | 10.4 ± 0.40 | 3.65 ± 0.05 | 10.60 ± 0.44 | 3.70 ± 0.05 |
* before smoking. |
Enumeration (log CFU/g) | Presence in 25g | |||||||||
"Alheira" | Bacillus cereus | Yeasts | Moulds | Enterobacteriaceae | E.coli | Coagulase positive staphylococci | Listeria spp. | Listeria monocytogenes | Salmonella spp. | SRC sporesa |
S2BC | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BC | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLAF + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
S2BLA + LM | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | < 1.0 | − | − | − | − |
Legend: aSRC spores; sulphite reducing clostridial spores, presence (+) or absence (−) in 1, 0.1 or 0.01 g sample. |
Sample | Total # of paired reads generated | Percentage of classified reads (%) | |||
Total | Up to family | Up to genus | Up to species | ||
S2BLA (−1 day) | 88285 | 99.93 | 94.94 (0.15) | 94.71 (0.35) | 30.03 (1.08) |
S2BLA (0 day) | 77182 | 98.71 | 98.59 (0.67) | 98.02 (0.86) | 50.32 (1.71) |
S2BLA (60 days) | 83671 | 99.77 | 97.53 (1.07) | 96.87 (1.19) | 81.41 (1.74) |
S2BC (−1 day) | 91240 | 99.91 | 98.17 (0.23) | 98.07 (0.21) | 55.04 (0.8) |
S2BC (0 day) | 62382 | 99.08 | 98.72 (0.69) | 98.52 (0.72) | 84.29 (1.18) |
S2BC (60 days) | 76074 | 99.64 | 97.39 (0.14) | 96.98 (0.34) | 68.14 (0.73) |
Percentages are relative to the total number of classified reads. Values in parenthesis refer to the percentage of reads excluded at each taxonomic rank. "Alheira de Vitela" non-inoculated as a control (S2BC) and inoculated with Lb. plantarum ST153Ch lyophilized (S2BLA): before smoking (−1 day), after smoking (0 day) and 60 days of storage (60 days). |