Utilization of Hyperspectral Imaging with Chemometrics to Assess Beef Maturity.

There is a growing demand from consumers for more assurance in premium food products such as beef and especially steak. The quality of beef steak is primarily dictated by the maturation which ultimately influences its taste and flavor. These enhanced qualities have resulted in steak becoming a premium product that consumers are willing to pay a premium price for. A challenge, however, is analyzing the maturity of beef by traditional analytical techniques. Hyperspectral imaging (HSI) is a methodology that is gaining traction mainly due to miniaturization, improved optics, and software. In this study, HSI was applied to wet aged beef supplied at various stages of maturity, with spectral data generated using a portable hyperspectral camera. Two trials were conducted over a five-month period: (i) proof of principle and (ii) a bespoke sampling trial for the industry. With the support of industry participation, all samples were sourced from a highly reputable UK/Ireland supplier. To enhance data interpretation, the spectral data collected were combined with multivariate analysis. A range of chemometric models were generated using unsupervised and supervised methods to determine the maturity of the beef, and external validation was performed. The external validation showed good accuracy for "unknown samples" tested against the model set and ranged from 74 to 100% for the different stages of maturity (20, 30, and 40 days old). This study demonstrated that HSI can detect different maturity timepoints for beef samples, which could play an important role in solving some of the challenges that the industry faces with ensuring the authenticity of their products. This is the first time that portable HSI has been coupled with chemometric modeling for assessing the maturity of beef, and it can serve as a model for other food authenticity and quality applications.

Preventive Care Utilization among Rural versus Urban Women 12 Months Prior to Pregnancy.

Introduction: Pregnancy-related mortality in the United States occurs in 32.3 per 100,000 live births. Rural maternal mortality rates were even higher, and these patients were less likely to receive routine care. The purpose of this cross-sectional study was to compare primary and prenatal care and health behaviors among perinatal mothers living in rural and urban Kansas. Methods: Data were collected from 1,971 pregnant women who participated in Phase 8 Pregnancy Risk Assessment Monitoring System (PRAMS) for Kansas between 2016 and 2018. Respondent location (urban or rural based on NIH classification) was abstracted from birth certificates and frequencies of healthcare visits and secondary healthcare variables were compared. Results: Most respondents (75.1%, n = 1,481) resided in an urban area. Most (84.4%, n = 1,664) women were Caucasian, and the largest category (31.1%, n = 613) was 25 to 29 years old. More urban women reported visiting an obstetrician/gynecologist within 12 months before pregnancy than rural women (p < 0.0001). Urban women reported attending pre-pregnancy dental visits (p = 0.019) and teeth cleanings (p = 0.004) more than rural women. Of the 35.7% of respondents (n = 516) who reported receiving pre-pregnancy counseling on folic acid, prenatal vitamins, or multivitamins, 78.9% (n = 407) resided in an urban area. Conclusions: Rural women reported fewer routine primary and prenatal care behaviors compared to their urban counterparts. Efforts are needed to improve access to obstetrician/gynecologist services, especially for women in rural areas.

Identification of milk from different animal and plant sources by desorption electrospray ionisation high-resolution mass spectrometry (DESI-MS).

This study used desorption electrospray ionisation mass spectrometry (DESI-MS) to analyse and detect and classify biomarkers in five different animal and plant sources of milk for the first time. A range of differences in terms of features was observed in the spectra of cow milk, goat milk, camel milk, soya milk, and oat milk. Chemometric modelling was then used to classify the mass spectra data, enabling unique or significant markers for each milk source to be identified. The classification of different milk sources was achieved with a cross-validation percentage rate of 100% through linear discriminate analysis (LDA) with high sensitivity to adulteration (0.1-5% v/v). The DESI-MS results from the milk samples analysed show the methodology to have high classification accuracy, and in the absence of complex sample clean-up which is often associated with authenticity testing, to be a rapid and efficient approach for milk fraud control.

Tropane alkaloid contamination of agricultural commodities and food products in relation to consumer health: Learnings from the 2019 Uganda food aid outbreak.

Tropane alkaloids (TAs) are secondary plant metabolites derived mainly from Solanaceae plant families, with the most virulent invasive species being Datura stramonium. Datura stramonium commonly grows in cereal fields and produce TAs (e.g., hyoscyamine and scopolamine) which may accidentally contaminate cereals (and cereal-based foods) at occasionally high levels. Dietary exposure to TAs can be toxic and depending on the dose ingested can cause outcomes ranging from anticholinergic effects to acute poisoning and death. In 2019, 315 adults became ill and another five adults died in Uganda following consumption of a "Super Cereal" (a fortified blended food) that was later confirmed to be contaminated by TAs-a scenario which provoked this holistic review on TAs in foodstuffs. Thus, this article provides information on the history, development, occurrences, exposures, and human legislative and health benchmarks for TAs. It describes control strategies for reducing TA contamination of agricultural commodities and resultant health implications following consumption of TA contaminated foodstuffs. Adequate application of food safety control measures (including maximum limits) and good practices, from the start of cereal cultivation through to the final stages of manufacturing of food products can aid in the reduction of seeing toxic plants including D. stramonium in cereal fields.

Recent food safety and fraud issues within the dairy supply chain (2015-2019).

Milk and milk products play a vital role in diets around the globe. Due to their nutritional benefits there has been an increase in production and consumption over the past thirty years. For this growth to continue the safety and authenticity of dairy products needs to be maintained which is a huge area of concern. Throughout the process, from farm to processor, different sources of contamination (biological, chemical or physical) may occur either accidently or intentionally. Through online resources (the EU Rapid Alert System for Food and Feed (RASFF) and HorizonScan) safety and fraud data were collected from the past five years relating to milk and milk products. Cheese notifications were most frequently reported for both safety alerts (pathogenic micro-organisms) and fraud incidences (fraudulent documentation). Alongside the significant number of biological contaminations identified, chemical, physical and inadequate controls (in particular; foreign bodies, allergens, industrial contaminants and mycotoxins) were also found. Although the number of incidents were significantly smaller, these contaminants can still pose a significant risk to human health depending on their toxicity and exposure. Grey literature provided a summary of contamination and fraud issues from around the globe and shows its potential to be used alongside database resources for a holistic overview. In ensuring the integrity of milk during ever changing global factors (climate change, competition between food and feed and global pandemics) it is vital that safety and authenticity issues are continually monitored by industry, researchers and governing bodies.

The Rapid Detection of Sage Adulteration Using Fourier Transform Infra-Red (FTIR) Spectroscopy and Chemometrics.

Background: Sage, a common term for the various species of the genus Salvia L., is an herb that is mainly used as a seasoning, or for medicinal purposes. Valuable herbs such as sage, are under constant threat from criminals dealing in economically motivated adulteration. Objective: In this study, the development of a rapid screening technique to detect adulteration in sage was developed using FTIR and chemometrics. Method: A range of sage samples were collected, along with possible known adulterants, olive leaves, myrtle leaves, sumac, hazelnut leaves, cistus and phlomis, strawberry tree leaves and sandalwood. The samples were analyzed on the Thermo Nicolet iS5 FTIR with iD7 attenuated total reflectance accessory and diamond crystal. Chemometric techniques were applied to convert this raw spectral data obtained from the instrument into qualitative models. The qualitative chemometric models for adulteration detection were obtained using principal component analysis and orthogonal partial least squares-discriminant analysis following preprocessing of the spectra. Results: The orthogonal partial least squares-discriminant analysis models had a measurement of fit of 0.978 and 0.952 and a measurement of prediction of 0.975 and 0.936 for binary and multiclass models, respectively. The receiver operating curves following external validation had an area under the curve of 1, indicating excellent method performance. Conclusions: The use of FTIR and chemometrics can potentially screen unknown sage samples for adulteration and can be used in the fight against fraud in the herb and spice industry.