CHICAGO – September 28, 2022 – The Institute of Food Technologists (IFT) today announced it has partnered with the first IFT section in Latin America, Mexico Section IFT, to further support connection among the global food system communities and promote the science of food and its applications. The Mexico Section is the fourth international section of IFT, joining the U.K., British Columbia and Japan.
“We are thrilled to be able to collaborate with Mexico Section IFT and reaffirm our commitment toward advancing the science of food through innovation,” said IFT CEO Christie Tarantino-Dean. "The Mexico Section not only supports our efforts to diversify and expand the expertise of our membership but also brings unique perspectives to the greater IFT organization as we work to build a safe, sustainable and nutritious global food supply for all.”
Mexico Section IFT provides an opportunity for members to collaborate and strengthen connections with those at the core of the third largest food processing sector in the Americas. Currently, 9.3 million people in Mexico are involved with the generation and transformation of agricultural and fish products along with more than 800,000 workers employed by the food processing industry. The partnership with Mexico Section IFT will expand IFT’s resources and networking opportunities to one of the world’s largest food processing industries.
“We’re proud to represent IFT in our country and carry out our unified mission to promote food science and technology throughout all stages of food production,” said Mexico Section IFT President Mario Roberto Monroy. “We look forward to inspiring a new generation of Spanish-speaking food technologists while reconnecting old colleagues to cultivate a vibrant network of professionals in Mexico and across the globe.”
The Mexico Section IFT was originally formed in 1956 and saw varying periods of activity over the years. Through sheer determination, Monroy and an executive committee comprised of local science of food professionals were instrumental in making the revitalization of the Mexico Section a reality. Members of this committee include Vice President Juan Vilches of Food Innovation Studio, Secretary Cristina Chuck-Hernández with Tecnológico de Monterrey, Treasurer Antonio Araiza Bricaire of AMTEX CORP, and Marketing Leader Katya de la Fuente of MasterSense.
Mexico Section IFT is currently onsite at The Food Tech Summit & Expo and can be found at Booth 922. For more information on future events and about how science of food professionals can join this dynamic community, visit the Mexico Section IFT website.
About Institute of Food Technologists
The Institute of Food Technologists (IFT) is a global organization of approximately 12,000 individual members from more than 100 countries committed to advancing the science of food. Since 1939, IFT has brought together the brightest minds in food science, technology and related professions from academia, government, and industry to solve the world's greatest food challenges. Our organization works to ensure that our members have the resources they need to learn, grow, and advance the science of food as the population and the world evolve. We believe that science is essential to ensuring a global food supply that is sustainable, safe, nutritious, and accessible to all. For more information, please visit ift.org.
Worldwide, tomato production is estimated at 180 million tons per year, which generates a byproduct with highly variable characteristics and volumes. According to the principles of the circular economy, a semi-industrial method for the integral use of the tomato byproduct as an ingredient in the bakery industry is proposed. Using two different dehydration processes (convection or freeze-drying), a tomato byproduct formed by peels and seeds was stabilized and ground into flours that were used as ingredients in focaccia-type flatbread elaboration through a wheat flour partial substitution trial (from 0% to 20% w/w). Based on the kinetics of convection drying and remaining lycopene content results, conditioning of the byproduct at 60°C was proposed. The higher the percentage of substitution, the greater the firmness of the flatbread. However, the cutting force was maximum with 15% replacement. The flatbreads with 5%–15% replacement were rated positively according to consumer acceptance studies. Substitution of up to 15% tomato byproduct is suggested for the formulation, as the higher the byproduct flour content, the lower the volume, the higher the firmness, and reddish-brown tones. Realistically, for the industrial setting, this processing proposal reached the whole food chain, from field to fork.
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Blueberries are a nutritious and popular berry worldwide. The physical and chemical properties of blueberries constantly change through the cycle of the supply chain (from harvest to sale). The purpose of this study was to develop a rapid method for detecting the properties of packaged blueberries based on near-infrared (NIR) spectroscopy. NIR was applied to quantitatively determine the soluble solid content (SSC) of polyethylene (PE)-packaged blueberries. An orthogonal partial least squares discriminant analysis model was established to show the correlation between spectral data and the measured SSC. Multiplicative scattering correction, standard normal variable, Savitzky–Golay convolution first derivative, and normalization (Normalize) were used for spectra preprocessing. Uninformative variables elimination, competitive adaptive reweighted sampling, and iteratively retaining informative variables were jointly used for wavelength optimization. NIR-based SSC prediction models for unpacked blueberries and PE-packaged blueberries were developed using partial least squares (PLS). The prediction model for PE-packaged samples (RP 2= 0.876, root mean square error of prediction [RMSEP] = 0.632) had less precision than the model for unpacked samples (RP 2= 0.953, RMSEP = 0.611). To reduce the effect of PE, the back propagation (BP) neural network and PLS were combined into the BP–PLS algorithm based on the residual learning algorithm. The model of BP–PLS (RP 2= 0.947, RMSEP = 0.414) was successfully developed to improve the prediction accuracy of SSC for PE-packaged blueberries. The results suggested a promising way of using the BP–PLS method in tandem with NIR for the rapid detection of the SSC of PE-packaged blueberries.
The fruits of Tamarindus indica L. are consumed worldwide, with various parts of the plant being used for medicinal purposes. The residues (pericarp and seeds) generated during cellulose processing are of significant value as they contain bioactive compounds with diverse biological activities. The objective of this study was to evaluate the chemical constituents of the ethyl acetate fraction as possible substitutes for synthetic compounds with biological properties using ultra-high performance liquid chromatography coupled to high-resolution mass spectrometry (UHPLC-HRMS/MS) analysis and the evaluation of the antioxidant activity (ferric reducing antioxidant power [FRAP], 2,2'-azino-bis-3-ethylbenzthiazoline-6-sulphonic acid [ABTS], and 1-diphenyl-2-picrylhydrazyl [DPPH]), total phenolic compounds (TPC), and antimicrobial activity of the hydroalcoholic extract and tamarind seed fractions were also performed. The chemical investigation of the acetate fraction using UHPLC-HRMS/MS resulted in the putative identification of 14 compounds, including flavonoids, (+)-catechin/(−)-epicatechin, procyanidin B2, procyanidin C2, isoquercetin, quercetin, luteolin, rutin, taxifolin, eriodictyol, kaempferide, hydroxybenzoic acid, protocathecuic acid, and protocathecuic acid methyl and ethyl esters derivatives. The crude hydroalcoholic extract exhibited the best results in terms of TPC: 883.87 gallic acid equivalent (GAE; mg/g) and antioxidant activity: FRAP: 183.29 GAE (mg/g), ABTS: 39.67%, and DPPH: 91.08%. The extract exhibited excellent antibacterial activity against gram-positive bacteria, specifically Staphylococcus aureus minimum inhibitory concentration (MIC)/minimum bactericidal concentration (MBC; 62.5/125 g/mL) and Bacillus cereus MIC/MBC (125/250 g/mL), and gram-negative bacteria, specifically Aeromonas hydrophila MIC/MBC (125/250 µg/mL) and Pseudomonas aeruginosa MIC/MBC (250/500 g/mL). Morphological damage to cells was observed using flow cytometry and scanning electron microscopy. Tamarind seeds contain unique bioactive compounds that should be explored for their use as novel food preservatives.
Forward feed multilayered perception and central composite rotatable design were used to model the nonthermal plasma (NTP) experimental data in artificial neural network (ANN) and response surface methodology, respectively. The ANN was found to be more accurate in modeling the experimental dataset. The NTP process parameters (voltage and time) were optimized for pineapple juice within the range of 25–45 kV and 120–900 s using an ANN coupled with the genetic algorithm (ANN-GA). After 176 generations of GA, the ANN-GA approach produced the optimal condition, 38 kV and 631 s, and caused the inactivation of peroxidase (POD) and bromelain by 87.24% and 51.04%, respectively. However, 100.32% of the overall antioxidant capacity and 89.96% of the ascorbic acid were maintained in the optimized sample with a total color change (ΔE) of less than 1.97 at all plasma treatment conditions. Based on optimal conditions, NTP provides a sufficient level of POD inactivation combined with excellent phenolic component extractability and high antioxidant retention. Furthermore, plasma treatment had an insignificant effect (p > 0.05) on the physicochemical attributes (pH, total soluble solid, and titratable acidity) of juice samples. From the intensity peak of the Fourier‑transform infrared spectroscopy analysis, it was found that the sugar components and phenolic compounds of plasma-treated juice were effectively preserved compared to the thermal-treated juice.
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