Quality assessment of herbal medicines based on chemical fingerprints combined with chemometrics approach: A review.

Herbal medicine (HM) has been playing a pivotal role in maintaining human health since ancient times, and its therapeutic theory and clinical experience are the precious traditional medical knowledge reserves. As HM occupies an important position in its own right in global healthcare systems, robust quality assessment and control over its complex chemical composition was of great significance to assure its efficacy and safety. Over the past decades, the concept of HM chemical fingerprints aiming to obtain a comprehensive characterization of complex chemical matrices has become one of the most convincing tools for the quality assessment of HM. This review summarizes the recent analytical techniques used to generate HM chemical fingerprints, including chromatography, vibrational spectroscopy, nuclear magnetic resonance spectroscopy, and mass spectrometry. The advantages, drawbacks, and the application scope of each technology have been scrutinized in an attempt to better understand the data analysis. Furthermore, HM fingerprints together with multivariate and multiway chemometrics methods used for different application domains, such as similarity, exploratory, classification, and regression analysis, have also been discussed and illustrated with a few typical studies. The article provides a general picture and workflow of fingerprinting analyses that have been used for the quality assessment of HM.

Determinants of tobacco smoking among rural-to-urban migrant workers: a cross-sectional survey in Shanghai.

BACKGROUND: Although there are several studies to investigate the smoking behaviors among rural-to-urban Chinese migrants, no study has focused individually on this population in Shanghai. This study was performed to estimate the prevalence and identify the determinants of tobacco smoking among rural-to-urban migrants in Shanghai. METHODS: In this cross-sectional study, multi-stage quota sampling was used to select 5,856 rural-to-urban migrants aged 18 years or older from seven districts in Shanghai between July and October 2012. A structured questionnaire was administered to assess smoking knowledge, attitude, behavior and demographic characteristics. Mental health was assessed by the self-reported SCL-90. Multiple logistic regression analysis was used to determine the risk factors of smoking behavior. RESULTS: A total of 5,380 of the 5,856 migrants enrolled completed the questionnaire, among whom 45.0% of male and 2.0% of female participants reported current smoking. Multivariate analysis revealed current smoking in female migrants to be significantly associated with working at construction (OR, 8.08; 95% CI, 1.80-36.28), hotels/restaurants (OR, 5.06; 95% CI, 1.68-15.27), entertainment sector (OR, 6.79; 95% CI, 2.51-18.42), with monthly income > 3500 yuan (OR, 2.69; 95% CI, 1.21-5.98), number of migratory cities of 2 (OR, 2.39; 95% CI, 1.23-4.65), and SCL-90 total score > 160 (OR, 2.03; 95% CI, 1.03-3.98), while the male migrants working at construction (OR, 1.30; 95% CI, 1.04-1.62), entertainment sector (OR, 1.86; 95% CI, 1.36-2.56), being divorced/widowed (OR, 2.20; 95% CI, 1.02-4.74), with duration of migration of 4 or more than 4 years (OR, 1.42; 95% CI, 1.06-1.91), number of migratory cities of 3 or more than 3 (OR, 1.42; 95% CI, 1.13-1.80), and SCL-90 total score > 160 (OR,1.39; 95% CI, 1.07-1.79) showed an excess smoking prevalence. CONCLUSION: Migration lifestyle and mental status were associated with current smoking behaviors. The identifications of risk factors for current smoking may help to target health promotion interventions.

Health-related lifestyle behaviors among male and female rural-to-urban migrant workers in Shanghai, China.

BACKGROUND: Lifestyle behaviors significantly impact health, yet remain poorly defined in Chinese rural-to-urban migrants. METHODS: In a cross-sectional study of health-related behaviors of 5484 rural-to-urban migrants who had worked in Shanghai for at least six months, we assessed the contribution of demographics and physical and mental health to lifestyle behaviors in male and female participants by multiple stepwise cumulative odds logistic regression. RESULTS: Respondents were 51.3% male. 9.9% exhibited abnormal blood pressure; 27.0% were overweight or obese; 11.2% reported abnormal mental health; 36.9% reported healthy lifestyle. Multiple stepwise cumulative odds logistic regression indicated that men working in manufacturing reported less unhealthy lifestyle than those in hospitality (cumulative odds ratio (COR) = 1.806, 95%CI 1.275-2.559) or recreation/leisure (COR = 3.248, 95%CI 2.379-4.435); and women working in manufacturing and construction reported less unhealthy lifestyle than those in all other sectors. Unhealthy lifestyle was associated with small workplaces for men (COR = 1.422, 95%CI 1.154-1.752), working more than 8 or 11 hours per day for women and men, respectively, and earning over 3500 RMB in women (COR = 1.618, 95%CI 1.137-2.303). Single women and women who had previously resided in three or more cities were more likely to report unhealthy lifestyle (COR = 2.023, 95%CI 1.664-2.461, and COR = 1.311, 95%CI 1.072-1.602, respectively). Abnormal mental status was also correlated with unhealthy lifestyle in men (COR = 3.105, 95%CI 2.454-3.930) and women (COR = 2.566, 95%CI 2.024-3.252). CONCLUSIONS: There were different risk factors of unhealthy lifestyle score in male and female rural-to-urban migrants, especially in number of cities experienced, salary, marital status, work place scale. Several demographic groups: employment sectors (e.g. hospitality and recreation/leisure), working conditions (e.g. long hours) and abnormal mental status were associated with unhealthy lifestyle behaviors in Chinese rural-to-urban migrants, and health interventions should be targeted to these groups.

Hyphenation of optimized microfluidic sample preparation with nano liquid chromatography for faster and greener alkaloid analysis.

A glass liquid-liquid extraction (LLE) microchip with three parallel 3.5 cm long and 100 µm wide interconnecting channels was optimized in terms of more environmentally friendly (greener) solvents and extraction efficiency. In addition, the optimized chip was successfully hyphenated with nano-liquid chromatography with ultraviolet and mass spectrometric detection (nanoLC-UV-MS) for on-line analysis. In this system, sample pretreatment, separation and detection are integrated, which significantly shortens the analysis time, saves labor and drastically reduces solvent consumption. Strychnine was used as model analyte to determine the extraction efficiency of the optimized 3-phase chip. Influence of organic solvent, pH of feed phase, type of alkaloid, and flow rates were investigated. The results demonstrated that the 3-phase chip nanoLC-UV/MS hyphenation combines rapid (~25 s) and efficient (extraction efficiency >90%) sample prep, with automated alkaloid analyses. The method was applied to real samples including Strychnos nux-vomica seeds, Cephaelis ipecacuanha roots, Atropa belladonna leaves, and Vinca minor leaves.

Rapid and simple neurotoxin-based distinction of Chinese and Japanese star anise by direct plant spray mass spectrometry.

Ingestion of products containing Chinese star anise (Illicium verum) fruits contaminated or adulterated with Japanese star anise (Illicium anisatum) fruits can cause poisoning due to the neurotoxin anisatin that is present in Japanese star anise. Thus a rapid, simple and unambiguous distinction between the morphologically similar Chinese star anise and toxic Japanese star anise fruits is important for guaranteeing food safety. After adding ~200 µL of methanol to one star anise carpel placed at 7-10mm from the inlet of a mass spectrometer and applying a potential of ~5 kV to the carpel, an electrospray is created. The formation of the electrospray is immediate, robust and stable and lasts for at least a minute. The presence or absence of anisatin could be monitored by orbitrap high resolution mass spectrometry (HRMS) in negative mode by observing the [M-H](-) ion at m/z 327.1074 (C15H19O8) or in positive mode the [M+K](+) ion at m/z 367.079 (C15H20KO8). Several parameters like wetting solvent, voltage, distance and set-up were optimised. The anisatin signal was ~250 times higher in Japanese than in Chinese star anise. An existing Direct Analysis in Real Time (DART) HRMS for anisatin was used for benchmarking. Alternatively a linear ion trap mass spectrometer could be used in negative selective reaction monitoring (SRM) mode albeit with lower selectivity than the HRMS method. The transition of the [M-H](-) ion at m/z 327 to the fragment at m/z 265 was monitored. Direct plant spray and DART ionisation are both robust and provided the same yes/no answer in seconds without any prior sample preparation. Compared with the DART-HRMS procedure, the direct plant spray method is simpler in terms of equipment, yields a more stable signal, does not require heating of the sample but is slightly less selective and requires working with high voltages.