Perchlorate, which may be naturally occurring or artificial in origin, inhibits iodide uptake into the thyroid gland and disturbs thyroid function. In order to investigate perchlorate contamination in foods in Japan, perchlorate levels in 28 wine samples, 20 seafood samples, 10 polished rice samples, 30 milk (include whole milk, composition modified milk, low fat milk, processed milk, milk drink) samples, 10 powdered milk samples and 10 yogurt samples were measured. Perchlorate was found in all wine, milk, powdered milk and yogurt samples tested. Perchlorate levels ranged from 0.2 ng/g to 103 ng/g in wine samples, from 2 ng/g to 11 ng/g in milk samples, from 3 ng/g to 35 ng/g in powdered milk samples, and from 2 ng/g to 11 ng/g in yogurt samples. Perchlorate levels in the seafood samples were under the LOQ (0.8 ng/g) in 8 samples and ranged from 0.8 ng/g to 72 ng/g in 12 samples. In all polished rice samples, perchlorate level was under the LOQ (1.0 ng/g).

Download full-text PDF

Source
http://dx.doi.org/10.3358/shokueishi.52.78DOI Listing

Publication Analysis

Top Keywords

powdered milk
16
ng/g ng/g
16
samples
15
milk
13
polished rice
12
perchlorate levels
12
milk samples
12
yogurt samples
12
ng/g
12
samples ng/g
12

Similar Publications

The aroma of yak milk powder is a crucial sensory indicator for evaluating its quality and flavor. Yak milk powders collected from different lactation periods exhibit distinct flavors, but no studies have thoroughly investigated the aroma characteristics and variation patterns of yak milk powders across these periods. This study identified and analyzed the volatile compounds in freeze-dried colostrum powder (YCSP), freeze-dried mature milk powder (YMMP), and freeze-dried ending milk powder (YEMP) using headspace solid-phase microextraction combined with gas chromatography-mass spectrometry (HS-SPME-GC-MS) and multivariate statistical analysis.

View Article and Find Full Text PDF

The current trend in food innovations includes developing products containing plant ingredients or extracts rich in bioactive compounds. This study aimed to prepare and characterize skimmed thermally treated goat's milk powders enriched with lyophilized fruit extracts of Murray (GMLR) and L. (GMLB).

View Article and Find Full Text PDF

Background: Nonalcoholic steatohepatitis (NASH) is a severe form of nonalcoholic fatty liver disease (NAFLD) characterized by damage and inflammation of hepatocytes. Some medicinal plants have shown antioxidant and anti-inflammatory effects on liver cells. We aimed to investigate the hepatoprotective effect of Heptex® capsules containing 200 mg of Dukung Anak (a powdered extract from aerial parts of Phyllanthus niruri) and 100 mg of Milk Thistle (a powdered extract from fruits of Silybum marianum) in patients with an apparent risk factor for NASH.

View Article and Find Full Text PDF

Nutritional Value of Black Soldier Fly Larvae Oil in Calf Milk Replacers.

J Dairy Sci

January 2025

ICREA (Institució de Recerca i Estudis Avançats), 08010 Barcelona, Spain; Department of Animal and Veterinary Sciences, Universitat de Lleida, 25198 Lleida, Spain.

Sustainable alternatives to high environmental input feed ingredients are important to reducing the environmental impact of animal agriculture. Protein and oil extracted from cultivation of black soldier fly (Hermetia illucens) larvae (BSFL) on waste feedstocks such as manure, food waste and plant residues could be a suitable source of nutrients. The oil from BFSL contains large amounts of saturated fatty acids, particularly lauric acid, and may be a more sustainable alternative to palm and coconut oils that are currently used in calf milk replacers in many parts of the world.

View Article and Find Full Text PDF

Data-driven pipeline modeling for predicting unknown protein adulteration in dairy products.

Food Chem

December 2024

Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, PR China. Electronic address:

To preemptively predict unknown protein adulterants in food and curb the incidence of food fraud at its origin, data-driven models were developed using three machine learning (ML) algorithms. Among these, the random forest (RF)-based model achieved optimal performance, achieving accuracies of 96.2 %, 95.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!